{"id":31496,"date":"2026-08-31T11:40:00","date_gmt":"2026-08-31T09:40:00","guid":{"rendered":"https:\/\/botnation.ai\/genesys-chatbot\/"},"modified":"2026-08-31T12:01:13","modified_gmt":"2026-08-31T10:01:13","slug":"genesys-chatbot","status":"publish","type":"post","link":"https:\/\/botnation.ai\/en\/genesys-chatbot\/","title":{"rendered":"Genesys chatbot: pricing, how it works, and alternatives (2026)"},"content":{"rendered":"<p><script>var s=document.createElement(\"style\");s.appendChild(document.createTextNode(`.bn-art{ --bn-cream:#faf8f2; --bn-card:#faf6ea; --bn-sand:#ebe3cb; --bn-sand-2:#f3ecd9; --bn-sand-zebra:#f6f0df; --bn-coral:#fe716b; --bn-coral-soft:#fdeeed; --bn-coral-line:#f6c9c6; --bn-coral-txt:#bd3a34; --bn-blue:#3358f0; --bn-blue-soft:#eef1fe; --bn-blue-line:#c9d4fb; --bn-green:#427632; --bn-green-soft:#eef6ea; --bn-ink:#3d351f; --bn-text:#414b56; --bn-muted:#6d6653; --bn-border:#e6dcc2; --bn-r:16px; --bn-r-sm:11px; --bn-sp:22px; --bn-sh:0 1px 2px rgba(61,53,31,.05),0 10px 26px rgba(61,53,31,.07); --bn-sh-sm:0 1px 2px rgba(61,53,31,.05),0 4px 12px rgba(61,53,31,.05); --bn-mono:'IBM Plex Mono','SFMono-Regular',ui-monospace,'Courier New',monospace; color:var(--bn-text); font-size:18px; line-height:1.75; max-width:820px; margin:0 auto; } .bn-art *{box-sizing:border-box} .bn-art p{margin:0 0 1.15em; color:var(--bn-text)} .bn-art h2{ color:var(--bn-ink); font-weight:700; line-height:1.25; font-size:1.72em; margin:2.2em 0 .7em; letter-spacing:-.01em; } .bn-art h3{color:var(--bn-ink); font-weight:700; font-size:1.22em; margin:1.8em 0 .5em} .bn-art a{color:#3f5cd6; text-decoration:underline; text-underline-offset:2px; text-decoration-thickness:1px} .bn-art a:hover{color:var(--bn-coral)} .bn-art strong{color:var(--bn-ink); font-weight:700} .bn-art ul,.bn-art ol{margin:0 0 1.3em; padding-left:1.25em} .bn-art li{margin:.4em 0} .bn-art ul li::marker{color:var(--bn-coral)} .bn-art ol li::marker{color:var(--bn-blue); font-weight:700} .bn-klabel{ display:inline-flex; align-items:center; gap:7px; font-family:var(--bn-mono); font-size:14px; font-weight:600; text-transform:uppercase; letter-spacing:.12em; color:var(--bn-coral); margin:0 0 .2em; } .bn-klabel svg{width:15px;height:15px;flex:none} .bn-tldr{ background:var(--bn-card); border:1px solid var(--bn-border); border-left:4px solid var(--bn-coral); border-radius:var(--bn-r); padding:20px 24px; margin:0 0 30px; box-shadow:var(--bn-sh-sm); } .bn-tldr p{margin:0; color:var(--bn-text)} .bn-tldr p+p{margin-top:.6em} .bn-toc{ background:var(--bn-sand-2); border:1px solid var(--bn-sand); border-radius:var(--bn-r); padding:18px 22px; margin:0 0 34px; } .bn-toc .bn-klabel{color:var(--bn-coral)} .bn-toc ol{margin:.4em 0 0; padding-left:1.2em; columns:2; column-gap:28px} .bn-toc li{margin:.25em 0; break-inside:avoid} .bn-toc a{color:var(--bn-ink); text-decoration:none; font-weight:600; font-size:.96em} .bn-toc a:hover{color:var(--bn-coral); text-decoration:underline} .bn-stats{display:grid; grid-template-columns:repeat(3,1fr); gap:16px; margin:28px 0} .bn-stat{ background:var(--bn-card); border:1px solid var(--bn-border); border-radius:var(--bn-r); padding:20px 18px; text-align:center; box-shadow:var(--bn-sh-sm); } .bn-stat b{display:block; font-size:2em; line-height:1.1; color:var(--bn-coral); font-weight:800; letter-spacing:-.02em} .bn-stat span{display:block; margin-top:6px; font-size:.86em; color:var(--bn-muted); line-height:1.45} .bn-stat:nth-child(2) b{color:var(--bn-blue)} .bn-stat:nth-child(3) b{color:var(--bn-ink)} .bn-grid{display:grid; grid-template-columns:1fr 1fr; gap:18px; margin:26px 0} .bn-card{ background:var(--bn-card); border:1px solid var(--bn-border); border-radius:var(--bn-r); padding:22px; box-shadow:var(--bn-sh-sm); } .bn-card h4{margin:.1em 0 .35em; color:var(--bn-ink); font-size:1.06em; font-weight:700; display:flex; gap:9px; align-items:center} .bn-card h4 svg{width:20px;height:20px;flex:none;color:var(--bn-coral)} .bn-card p{margin:0; font-size:.96em} .bn-ex{ background:var(--bn-card); border:1px solid var(--bn-border); border-radius:var(--bn-r); padding:24px 26px; margin:20px 0; box-shadow:var(--bn-sh); position:relative; } .bn-ex-h{display:flex; align-items:center; gap:13px; margin-bottom:14px} .bn-ex-n{ flex:none; width:38px; height:38px; border-radius:11px; background:var(--bn-coral-soft); color:var(--bn-coral); display:flex; align-items:center; justify-content:center; font-weight:800; font-size:1.1em; font-family:var(--bn-mono); } .bn-ex-h h3{margin:0; font-size:1.18em} .bn-ex-tag{font-family:var(--bn-mono); font-size:14px; text-transform:uppercase; letter-spacing:.1em; color:var(--bn-muted); display:block; margin-top:2px} .bn-ex p{margin:.2em 0 .9em} .bn-ex .bn-ba{display:grid; grid-template-columns:1fr 1fr; gap:12px; margin-top:14px} .bn-ba div{border-radius:var(--bn-r-sm); padding:13px 15px; font-size:.9em; line-height:1.5} .bn-ba .biz{background:var(--bn-blue-soft); border:1px solid var(--bn-blue-line)} .bn-ba .cli{background:var(--bn-green-soft); border:1px solid #cfe6c4} .bn-ba b{display:block; font-family:var(--bn-mono); font-size:14px; text-transform:uppercase; letter-spacing:.08em; margin-bottom:4px; color:var(--bn-muted)} .bn-tablewrap{overflow-x:auto; margin:26px 0; border-radius:var(--bn-r); border:1px solid var(--bn-border); box-shadow:var(--bn-sh-sm)} .bn-art table{width:100%; border-collapse:collapse; background:var(--bn-card); font-size:.94em; min-width:520px} .bn-art thead th{background:var(--bn-ink); color:#fbf7ec; text-align:left; font-weight:700; padding:13px 16px; font-size:16px} .bn-art tbody td{padding:12px 16px; border-top:1px solid var(--bn-border); color:var(--bn-text); vertical-align:top; font-size:16px} .bn-art tbody tr:nth-child(even){background:var(--bn-sand-zebra)} .bn-art tbody td:first-child{font-weight:700; color:var(--bn-ink)} .bn-cols{display:grid; grid-template-columns:1fr 1fr; gap:18px; margin:26px 0} .bn-col{background:var(--bn-card); border:1px solid var(--bn-border); border-radius:var(--bn-r); padding:22px; box-shadow:var(--bn-sh-sm)} .bn-col h4{margin:0 0 12px; font-size:1.05em; color:var(--bn-ink); display:flex; align-items:center; gap:9px} .bn-col h4 svg{width:20px;height:20px;flex:none} .bn-col.biz h4 svg{color:var(--bn-blue)} .bn-col.cli h4 svg{color:var(--bn-green)} .bn-col.warn h4 svg{color:var(--bn-coral)} .bn-col ul{margin:0; padding:0; list-style:none} .bn-col li{position:relative; padding-left:26px; margin:.55em 0; font-size:.96em} .bn-col li::before{content:\"\"; position:absolute; left:0; top:.5em; width:13px; height:13px; border-radius:50%; background:var(--bn-coral-soft); border:2px solid var(--bn-coral)} .bn-col.biz li::before{background:var(--bn-blue-soft); border-color:var(--bn-blue)} .bn-col.cli li::before{background:var(--bn-green-soft); border-color:var(--bn-green)} .bn-call{ display:flex; gap:14px; border-radius:var(--bn-r); padding:18px 20px; margin:24px 0; background:var(--bn-card); border:1px solid var(--bn-border); box-shadow:var(--bn-sh-sm); } .bn-call svg{width:22px; height:22px; flex:none; margin-top:1px} .bn-call b{color:var(--bn-ink)} .bn-call p{margin:0; font-size:.95em} .bn-call .bn-klabel{margin-bottom:3px} .bn-tip{border-left:4px solid var(--bn-green)} .bn-tip svg{color:var(--bn-green)} .bn-tip .bn-klabel{color:var(--bn-green)} .bn-warn{border-left:4px solid var(--bn-coral)} .bn-warn svg{color:var(--bn-coral)} .bn-warn .bn-klabel{color:var(--bn-coral)} .bn-info{border-left:4px solid var(--bn-blue)} .bn-info svg{color:var(--bn-blue)} .bn-info .bn-klabel{color:var(--bn-blue)} .bn-def{background:var(--bn-blue-soft); border:1px solid var(--bn-blue-line); border-radius:var(--bn-r); padding:20px 24px; margin:24px 0} .bn-def .bn-klabel{color:var(--bn-blue)} .bn-def p{margin:0} .bn-steps{counter-reset:s; list-style:none; padding:0; margin:24px 0} .bn-steps li{position:relative; padding:0 0 4px 56px; margin:0 0 18px; min-height:40px} .bn-steps li::before{ counter-increment:s; content:counter(s); position:absolute; left:0; top:0; width:40px; height:40px; border-radius:12px; background:var(--bn-coral); color:#fff; font-weight:800; font-family:var(--bn-mono); display:flex; align-items:center; justify-content:center; box-shadow:var(--bn-sh-sm); } .bn-steps li b{display:block; color:var(--bn-ink); margin-bottom:2px} .bn-check{background:var(--bn-card); border:1px solid var(--bn-border); border-radius:var(--bn-r); padding:24px 26px; margin:28px 0; box-shadow:var(--bn-sh)} .bn-check h3{margin:.1em 0 .3em} .bn-check>p{font-size:.95em; color:var(--bn-muted); margin-bottom:14px} .bn-check ul{list-style:none; padding:0; margin:0 0 18px} .bn-check li{margin:0; border-top:1px solid var(--bn-border)} .bn-check li:first-child{border-top:none} .bn-check label{display:flex; align-items:flex-start; gap:13px; padding:12px 2px; cursor:pointer; font-size:.97em; color:var(--bn-text)} .bn-check input{appearance:none; -webkit-appearance:none; flex:none; width:22px; height:22px; margin-top:1px; border:2px solid var(--bn-coral-line); border-radius:7px; background:#fff; cursor:pointer; position:relative; transition:.15s} .bn-check input:checked{background:var(--bn-coral); border-color:var(--bn-coral)} .bn-check input:checked::after{content:\"\"; position:absolute; left:6px; top:2px; width:6px; height:11px; border:solid #fff; border-width:0 2.5px 2.5px 0; transform:rotate(45deg)} .bn-result{border-radius:var(--bn-r-sm); padding:16px 18px; background:var(--bn-coral-soft); border:1px solid var(--bn-coral-line); font-size:.96em} .bn-result b{color:var(--bn-ink)} .bn-result .bn-score{font-family:var(--bn-mono); font-weight:700; color:var(--bn-coral)} .bn-result .bnc-res{display:none; margin-top:10px} .bn-result .bnc-res.on{display:block} .bn-result .bnc-res p{margin:0; color:var(--bn-text)} .bn-faq{background:var(--bn-card); border:1px solid var(--bn-border); border-radius:var(--bn-r-sm); margin:0 0 12px; box-shadow:var(--bn-sh-sm); overflow:hidden} .bn-faq summary{cursor:pointer; padding:17px 20px; font-weight:700; color:var(--bn-ink); list-style:none; display:flex; justify-content:space-between; align-items:center; gap:14px; font-size:1.03em} .bn-faq summary::-webkit-details-marker{display:none} .bn-faq summary::after{content:\"+\"; font-family:var(--bn-mono); font-size:1.5em; color:var(--bn-coral); flex:none; line-height:1; transition:transform .2s} .bn-faq[open] summary::after{transform:rotate(45deg)} .bn-faq .bn-faq-b{padding:0 20px 18px; color:var(--bn-text)} .bn-faq .bn-faq-b p{margin:0} .bn-fig{margin:30px 0; text-align:center} .bn-fig img{width:100%; height:auto; border-radius:var(--bn-r); box-shadow:var(--bn-sh); display:block} .bn-fig figcaption{margin-top:10px; font-size:.85em; color:var(--bn-muted); font-style:italic} .bn-cta{background:var(--bn-ink); border-radius:var(--bn-r); padding:34px 32px; margin:36px 0 12px; text-align:center} .bn-cta h3{color:#fff; margin:0 0 .4em; font-size:1.4em} .bn-cta p{color:#e9e2cf; margin:0 auto 20px; max-width:560px; font-size:1em} .bn-cta-btn{display:inline-block; background:var(--bn-coral); color:#332c19 !important; text-decoration:none !important; font-weight:800; padding:15px 34px; border-radius:999px; font-size:1.02em; box-shadow:0 8px 22px rgba(254,113,107,.35); transition:.15s} .bn-cta-btn:hover{background:#ff8782; color:#fff !important} .bn-quiz{background:var(--bn-card); border:1px solid var(--bn-border); border-radius:var(--bn-r); padding:24px 26px; margin:28px 0; box-shadow:var(--bn-sh)} .bn-quiz .bnq-q{padding:14px 0; border-top:1px solid var(--bn-border)} .bn-quiz .bnq-q:first-of-type{border-top:none; padding-top:4px} .bn-quiz .bnq-qt{font-weight:700; color:var(--bn-ink); margin:0 0 10px; font-size:1.02em} .bn-quiz .bnq-opt{display:flex; align-items:flex-start; gap:12px; padding:9px 12px; margin:6px 0; cursor:pointer; font-size:.96em; color:var(--bn-text); border:1px solid var(--bn-border); border-radius:var(--bn-r-sm); background:#fff; transition:.15s} .bn-quiz .bnq-opt:hover{border-color:var(--bn-coral-line); background:var(--bn-coral-soft)} .bn-quiz .bnq-opt input{appearance:none; -webkit-appearance:none; flex:none; width:20px; height:20px; margin-top:1px; border:2px solid var(--bn-coral-line); border-radius:50%; background:#fff; cursor:pointer; position:relative; transition:.15s} .bn-quiz .bnq-opt input:checked{border-color:var(--bn-coral)} .bn-quiz .bnq-opt input:checked::after{content:\"\"; position:absolute; left:3px; top:3px; width:10px; height:10px; border-radius:50%; background:var(--bn-coral)} .bn-quiz .bnq-opt:has(input:checked){border-color:var(--bn-coral); background:var(--bn-coral-soft)} .bn-quiz .bnq-btn{margin-top:16px; display:inline-block; background:var(--bn-coral); color:#332c19; border:none; font-weight:800; font-size:1em; padding:13px 30px; border-radius:999px; cursor:pointer; box-shadow:0 6px 16px rgba(254,113,107,.28); transition:.15s; font-family:inherit} .bn-quiz .bnq-btn:hover{background:#ff8782} .bn-quiz .bnq-res{display:none; margin-top:18px; padding:18px 20px; border-radius:var(--bn-r-sm); background:var(--bn-blue-soft); border:1px solid var(--bn-blue-line)} .bn-quiz .bnq-res.on{display:block} .bn-quiz #bnq-agent{background:var(--bn-coral-soft); border-color:var(--bn-coral-line)} .bn-quiz #bnq-hybrid{background:var(--bn-green-soft); border-color:#cfe6c4} .bn-quiz .bnq-rt{font-weight:800; color:var(--bn-ink); margin:0 0 6px; font-size:1.08em} .bn-quiz .bnq-res p{margin:0} .bn-spectrum{background:var(--bn-card); border:1px solid var(--bn-border); border-radius:var(--bn-r); padding:24px 26px; margin:28px 0; box-shadow:var(--bn-sh)} .bn-spectrum h3{margin:.1em 0 .3em} .bn-spectrum>p{font-size:.95em; color:var(--bn-muted); margin:0 0 20px} .bn-spec-track{margin:26px 4px 4px} .bn-spec-range{-webkit-appearance:none; appearance:none; width:100%; height:8px; border-radius:999px; background:var(--bn-sand); outline:none; cursor:pointer; margin:0} .bn-spec-range::-webkit-slider-thumb{-webkit-appearance:none; appearance:none; width:26px; height:26px; border-radius:50%; background:var(--bn-coral); border:3px solid #fff; box-shadow:var(--bn-sh-sm); cursor:pointer} .bn-spec-range::-moz-range-thumb{width:26px; height:26px; border-radius:50%; background:var(--bn-coral); border:3px solid #fff; box-shadow:var(--bn-sh-sm); cursor:pointer} .bn-spec-stops{display:flex; justify-content:space-between; margin-top:13px; font-family:var(--bn-mono); font-size:14px; text-transform:uppercase; letter-spacing:.07em; color:var(--bn-muted); gap:8px} .bn-spec-stops span{flex:1; cursor:pointer; transition:.15s; text-align:center} .bn-spec-stops span:first-child{text-align:left} .bn-spec-stops span:last-child{text-align:right} .bn-spec-stops span.on{color:var(--bn-coral); font-weight:700} .bns-pane{display:none; margin-top:22px; border-radius:var(--bn-r-sm); padding:20px 22px; background:var(--bn-sand-2); border:1px solid var(--bn-sand)} .bns-pane.on{display:block} .bns-pane h4{margin:0 0 3px; color:var(--bn-ink); font-size:1.14em} .bns-tag{font-family:var(--bn-mono); font-size:14px; text-transform:uppercase; letter-spacing:.1em; color:var(--bn-coral); display:block; margin-bottom:11px} .bns-pane>p{margin:0; font-size:.96em; color:var(--bn-text)} .bns-grid{display:grid; grid-template-columns:1fr 1fr; gap:12px; margin-top:15px} .bns-grid div{background:#fff; border:1px solid var(--bn-border); border-radius:var(--bn-r-sm); padding:11px 14px; font-size:.9em; color:var(--bn-text)} .bns-grid b{display:block; font-family:var(--bn-mono); font-size:14px; text-transform:uppercase; letter-spacing:.07em; color:var(--bn-muted); margin-bottom:3px} .bn-roi{background:var(--bn-card); border:1px solid var(--bn-border); border-radius:var(--bn-r); padding:24px 26px; margin:28px 0; box-shadow:var(--bn-sh)} .bn-roi h3{margin:.1em 0 .3em} .bn-roi>p{font-size:.95em; color:var(--bn-muted); margin:0 0 18px} .bn-roi-fields{display:grid; grid-template-columns:1fr 1fr; gap:20px 28px; margin:18px 0 24px} .bn-roi-field:last-child{grid-column:1\/-1} .bn-roi-field label{display:block; font-size:.9em; color:var(--bn-text); font-weight:600; margin-bottom:11px} .bn-roi-field output{font-family:var(--bn-mono); font-weight:700; color:var(--bn-coral)} .bn-roi-out{display:grid; grid-template-columns:repeat(3,1fr); gap:16px; margin-top:4px} .bn-roi-stat{background:var(--bn-sand-2); border:1px solid var(--bn-sand); border-radius:var(--bn-r); padding:20px 16px; text-align:center} .bn-roi-stat b{display:block; font-size:1.85em; line-height:1.05; color:var(--bn-coral); font-weight:800; letter-spacing:-.02em; font-family:var(--bn-mono)} .bn-roi-stat:nth-child(2) b{color:var(--bn-blue)} .bn-roi-stat:nth-child(3) b{color:var(--bn-ink)} .bn-roi-stat span{display:block; margin-top:7px; font-size:.82em; color:var(--bn-muted); line-height:1.4} .bn-roi-note{font-size:16px; color:var(--bn-muted); margin:16px 0 0; font-style:italic} .bn-bot{background:var(--bn-card); border:1px solid var(--bn-border); border-radius:var(--bn-r); padding:22px 24px; margin:28px 0; box-shadow:var(--bn-sh)} .bn-bot h3{margin:.1em 0 .3em} .bn-bot>p{font-size:.95em; color:var(--bn-muted); margin:0 0 16px} .bn-bot-win{border:1px solid var(--bn-border); border-radius:var(--bn-r-sm); background:#fff; overflow:hidden} .bn-bot-bar{display:flex; align-items:center; gap:11px; padding:12px 16px; background:var(--bn-sand-2); border-bottom:1px solid var(--bn-border)} .bn-bot-ava{flex:none; width:32px; height:32px; border-radius:50%; background:var(--bn-coral-soft); display:flex; align-items:center; justify-content:center} .bn-bot-ava svg{width:19px; height:19px; color:var(--bn-coral)} .bn-bot-id b{display:block; color:var(--bn-ink); font-size:.95em; line-height:1.2} .bn-bot-id span{font-family:var(--bn-mono); font-size:14px; text-transform:uppercase; letter-spacing:.08em; color:var(--bn-green); display:inline-flex; align-items:center; gap:5px} .bn-bot-id span::before{content:\"\"; width:7px; height:7px; border-radius:50%; background:var(--bn-green)} .bn-bot-log{padding:16px; min-height:130px; max-height:320px; overflow-y:auto; display:flex; flex-direction:column; gap:10px} .bn-bot-msg{max-width:82%; padding:10px 14px; border-radius:15px; font-size:.95em; line-height:1.5} .bn-bot-msg.bot{align-self:flex-start; background:var(--bn-sand-2); color:var(--bn-text); border-bottom-left-radius:4px} .bn-bot-msg.user{align-self:flex-end; background:var(--bn-coral); color:#332c19; border-bottom-right-radius:4px} .bn-bot-quick{display:flex; flex-wrap:wrap; gap:8px; padding:2px 16px 14px} .bn-art .bn-bot-qbtn{font-family:inherit; font-size:16px; color:var(--bn-ink); background:#fff; border:1px solid var(--bn-coral-line); border-radius:999px; padding:7px 14px; cursor:pointer; transition:.15s} .bn-art .bn-bot-qbtn:hover{background:var(--bn-coral-soft); border-color:var(--bn-coral)} .bn-bot-form{display:flex; gap:8px; padding:12px 16px; border-top:1px solid var(--bn-border); background:var(--bn-sand-2)} .bn-bot-input{flex:1; min-width:0; font-family:inherit; font-size:.95em; color:var(--bn-ink); background:#fff; border:1px solid var(--bn-border); border-radius:999px; padding:10px 16px; outline:none} .bn-bot-input:focus{border-color:var(--bn-coral)} .bn-art .bn-bot-send{flex:none; font-family:inherit; font-weight:700; font-size:16px; color:#fff; background:var(--bn-coral); border:none; border-radius:999px; padding:10px 20px; cursor:pointer; transition:.15s} .bn-art .bn-bot-send:hover{background:#ff8782} .bn-art .bn-bot-note{font-size:16px; color:var(--bn-muted); margin:14px 0 0; font-style:italic} .bbot-kb,.bbot-fallback{display:none} .bn-shot{margin:16px 0 2px; border:1px solid var(--bn-border); border-radius:var(--bn-r-sm); background:#fff; overflow:hidden} .bn-shot-bar{display:flex; align-items:center; gap:8px; padding:9px 13px; background:var(--bn-sand-2); border-bottom:1px solid var(--bn-border)} .bn-shot-dot{width:8px;height:8px;border-radius:50%;background:var(--bn-green);flex:none} .bn-shot-bar b{color:var(--bn-ink); font-size:.9em} .bn-shot-bar span{margin-left:auto; font-family:var(--bn-mono); font-size:14px; text-transform:uppercase; letter-spacing:.06em; color:var(--bn-muted)} .bn-shot-log{padding:13px 14px; display:flex; flex-direction:column; gap:8px} .bn-shot .bn-bot-msg{max-width:86%; font-size:.9em} .bn-shot-quick{display:flex; flex-wrap:wrap; gap:6px; margin-top:2px} .bn-shot-quick span{font-size:14px; color:var(--bn-ink); background:#fff; border:1px solid var(--bn-coral-line); border-radius:999px; padding:4px 11px} .bn-exlink{margin:13px 0 0; font-weight:700; display:flex; align-items:center; gap:6px} .bn-exlink svg{width:16px;height:16px;flex:none;color:var(--bn-coral)} .bn-lb{background:var(--bn-card); border:1px solid var(--bn-border); border-radius:var(--bn-r); padding:24px 26px; margin:28px 0; box-shadow:var(--bn-sh)} .bn-lb h3{margin:.1em 0 .3em} .bn-lb>p{font-size:.95em; color:var(--bn-muted); margin:0 0 16px} .bn-lb-ctrl{display:flex; flex-wrap:wrap; gap:11px; align-items:center; margin:0 0 16px} .bn-lb-ctrl br{display:none} .bn-lb-search{flex:1; min-width:200px; font-family:inherit; font-size:16px; color:var(--bn-ink); background:#fff; border:1px solid var(--bn-border); border-radius:999px; padding:11px 18px; outline:none} .bn-lb-search:focus{border-color:var(--bn-coral)} .bn-lb-filters{display:flex; flex-wrap:wrap; gap:8px} .bn-art .bn-lb-fbtn{font-family:inherit; font-size:16px; color:var(--bn-ink); background:#fff; border:1px solid var(--bn-coral-line); border-radius:999px; padding:9px 16px; cursor:pointer; transition:.15s} .bn-art .bn-lb-fbtn:hover{background:var(--bn-coral-soft)} .bn-art .bn-lb-fbtn.on{background:var(--bn-coral); color:#fff; border-color:var(--bn-coral)} .bn-lb .bn-lb-th{cursor:pointer; user-select:none; white-space:nowrap} .bn-lb .bn-lb-th:hover{color:#fbf7ec; opacity:.85} .bn-lb-rank{font-family:var(--bn-mono); font-weight:700; color:var(--bn-coral); text-align:center} .bn-lb-score{font-family:var(--bn-mono); font-weight:700; color:var(--bn-ink); text-align:right; white-space:nowrap} .lb-empty{padding:16px; text-align:center; color:var(--bn-muted); font-size:.95em} .bn-lb-foot{font-size:16px; color:var(--bn-muted); margin:14px 0 0; font-style:italic} @media(max-width:680px){ .bn-art{font-size:17px} .bn-stats,.bn-grid,.bn-cols,.bn-ex .bn-ba,.bns-grid,.bn-roi-fields,.bn-roi-out{grid-template-columns:1fr} .bn-roi-field:last-child{grid-column:auto} .bn-toc ol{columns:1} .bn-art h2{font-size:1.5em} .bn-bot-msg{max-width:90%} } .bn-art sup,.bn-art sub{font-size:14px;line-height:0} .bn-klabel.hc{color:var(--bn-coral-txt)} .bn-cdc{background:var(--bn-card); border:1px solid var(--bn-border); border-radius:var(--bn-r); padding:24px 26px; margin:28px 0; box-shadow:var(--bn-sh)} .bn-cdc h3{margin:.1em 0 .3em} .bn-cdc>p{font-size:.95em; color:var(--bn-muted); margin:0 0 18px} .bn-cdc br{display:none} .bn-cdc p:empty{display:none; margin:0} .cdc-q{padding:15px 0; border-top:1px solid var(--bn-border)} .cdc-q:first-of-type{border-top:none; padding-top:2px} .bn-art .cdc-qt{font-weight:700; color:var(--bn-ink); margin:0 0 11px; font-size:16px; line-height:1.45} .cdc-chips{display:flex; flex-wrap:wrap; gap:8px} .cdc-chips p:not([class]){display:contents} .bn-art .cdc-chip{display:inline-flex; align-items:center; font-size:16px; line-height:1.35; color:var(--bn-ink); background:#fff; border:1px solid var(--bn-coral-line); border-radius:999px; padding:9px 16px; cursor:pointer; transition:.15s} .bn-art .cdc-chip:hover{background:var(--bn-coral-soft)} .bn-art .cdc-chip:has(input:checked){background:var(--bn-coral); color:#332c19; border-color:var(--bn-coral); font-weight:700} .cdc-chip input{position:absolute; opacity:0; width:1px; height:1px; pointer-events:none} .cdc-out{margin:22px 0 0; border-radius:var(--bn-r-sm); background:var(--bn-sand-2); border:1px solid var(--bn-sand); padding:20px 22px} .cdc-line{padding:14px 0; border-top:1px solid var(--bn-sand)} .cdc-line:first-of-type{border-top:none; padding-top:2px} .cdc-line p:not([class]){margin:0} .bn-art .cdc-line b{display:block; font-family:var(--bn-mono); font-size:14px; text-transform:uppercase; letter-spacing:.08em; color:var(--bn-coral-txt); margin-bottom:6px} .bn-art .cdc-line span{display:block; font-size:16px; line-height:1.62; color:var(--bn-text)} .bn-art .cdc-copy{margin-top:18px; display:inline-block; background:var(--bn-coral); color:#332c19; border:none; font-family:inherit; font-weight:800; font-size:16px; padding:13px 28px; border-radius:999px; cursor:pointer; box-shadow:0 6px 16px rgba(254,113,107,.28); transition:.15s} .bn-art .cdc-copy:hover{background:#ff8782} .bn-art .cdc-note{font-size:16px; color:var(--bn-muted); margin:12px 0 0; font-style:italic; min-height:1.5em} @media(max-width:680px){ .cdc-chips{flex-direction:column; align-items:stretch} .bn-art .cdc-chip{justify-content:flex-start} } .bn-niv{background:var(--bn-card); border:1px solid var(--bn-border); border-radius:var(--bn-r); padding:24px 26px; margin:28px 0; box-shadow:var(--bn-sh)} .bn-niv h3{margin:.1em 0 .3em} .bn-niv>p{font-size:.95em; color:var(--bn-muted); margin:0 0 18px} .bn-niv br{display:none} .bn-niv p:empty{display:none; margin:0} .niv-q{padding:15px 0; border-top:1px solid var(--bn-border)} .niv-q:first-of-type{border-top:none; padding-top:2px} .bn-art .niv-qt{font-weight:700; color:var(--bn-ink); margin:0 0 11px; font-size:16px; line-height:1.45} .niv-out{margin:24px 0 0; border-radius:var(--bn-r-sm); background:var(--bn-sand-2); border:1px solid var(--bn-sand); padding:20px 22px} .bn-art .niv-score{display:flex; align-items:baseline; gap:10px; margin:0 0 13px} .bn-art .niv-score b{font-family:var(--bn-mono); font-size:2.1em; line-height:1; color:var(--bn-coral-txt); font-weight:800; letter-spacing:-.02em} .bn-art .niv-score span{font-size:16px; color:var(--bn-muted)} .niv-gauge{height:10px; border-radius:999px; background:var(--bn-sand); overflow:hidden; margin:0 0 18px} .niv-gauge p:not([class]){display:contents} .niv-gauge i{display:block; height:10px; background:var(--bn-coral); border-radius:999px; width:0} .nivv{display:none; border-radius:var(--bn-r-sm); padding:17px 19px; background:#fff; border:1px solid var(--bn-border)} .nivv.on{display:block} .bn-art .nivv b{display:block; font-size:1.08em; color:var(--bn-ink); margin-bottom:5px} .bn-art .nivv p{margin:0; font-size:16px; line-height:1.62} .bn-art .niv-weak{margin:15px 0 0; font-size:16px; color:var(--bn-text)} .bn-art .niv-weak b{font-family:var(--bn-mono); font-size:14px; text-transform:uppercase; letter-spacing:.08em; color:var(--bn-coral-txt); display:block; margin-bottom:4px} .bn-art blockquote{margin:26px 0; padding:18px 22px; background:var(--bn-card); border:1px solid var(--bn-border); border-left:4px solid var(--bn-blue); border-radius:var(--bn-r); box-shadow:var(--bn-sh-sm)} .bn-art blockquote p{margin:0; font-size:17px; line-height:1.65; color:var(--bn-text)} .bn-chk{background:var(--bn-card); border:1px solid var(--bn-border); border-radius:var(--bn-r); padding:24px 26px; margin:28px 0; box-shadow:var(--bn-sh)} .bn-chk h3{margin:.1em 0 .3em} .bn-chk>p{font-size:.95em; color:var(--bn-muted); margin:0 0 18px} .bn-chk br{display:none} .bn-chk p:empty{display:none; margin:0} .chk-doc{border-radius:var(--bn-r-sm); background:#fff; border:1px solid var(--bn-border); padding:16px 18px; margin:0 0 6px} .bn-art .chk-doc b{display:block; font-family:var(--bn-mono); font-size:14px; text-transform:uppercase; letter-spacing:.08em; color:var(--bn-coral-txt); margin-bottom:6px} .bn-art .chk-doc span{display:block; font-size:16px; line-height:1.62; color:var(--bn-text)} .chk-q{padding:15px 0; border-top:1px solid var(--bn-border)} .bn-art .chk-qt{font-weight:700; color:var(--bn-ink); margin:0 0 11px; font-size:16px; line-height:1.45} .chk-out{margin:22px 0 0; border-radius:var(--bn-r-sm); background:var(--bn-sand-2); border:1px solid var(--bn-sand); padding:20px 22px} .chk-pieces{display:grid; gap:10px; margin:0 0 16px} .chk-piece{border-radius:var(--bn-r-sm); background:#fff; border:1px solid var(--bn-border); padding:12px 14px} .chk-piece.hit{border-color:var(--bn-green); background:var(--bn-green-soft)} .bn-art .chk-piece b{display:block; font-family:var(--bn-mono); font-size:14px; text-transform:uppercase; letter-spacing:.08em; color:var(--bn-muted); margin-bottom:5px} .bn-art .chk-piece.hit b{color:var(--bn-green)} .bn-art .chk-piece span{display:block; font-size:16px; line-height:1.6; color:var(--bn-text)} .bn-art .chk-verdict{border-radius:var(--bn-r-sm); padding:14px 16px; font-size:16px; line-height:1.55; background:var(--bn-green-soft); border:1px solid #cfe6c4; color:var(--bn-text); margin:0 0 12px} .bn-art .chk-verdict.ko{background:var(--bn-coral-soft); border-color:var(--bn-coral-line)} .bn-art .chk-stats{margin:0; font-size:16px; line-height:1.6; color:var(--bn-text)} .bn-art .chk-stats b{font-family:var(--bn-mono); color:var(--bn-coral-txt); font-weight:700} .bn-dev{background:var(--bn-card); border:1px solid var(--bn-border); border-radius:var(--bn-r); padding:24px 26px; margin:28px 0; box-shadow:var(--bn-sh)} .bn-dev h3{margin:.1em 0 .3em} .bn-dev>p{font-size:.95em; color:var(--bn-muted); margin:0 0 18px} .bn-dev br{display:none} .bn-dev p:empty{display:none; margin:0} .dev-q{padding:15px 0; border-top:1px solid var(--bn-border)} .dev-q:first-of-type{border-top:none; padding-top:2px} .bn-art .dev-qt{font-weight:700; color:var(--bn-ink); margin:0 0 11px; font-size:16px; line-height:1.45} .dev-out{margin:24px 0 0; border-radius:var(--bn-r-sm); background:var(--bn-sand-2); border:1px solid var(--bn-sand); padding:20px 22px} .dev-tiles{display:grid; grid-template-columns:repeat(4,1fr); gap:14px; margin:0 0 16px} .dev-stat{background:#fff; border:1px solid var(--bn-border); border-radius:var(--bn-r-sm); padding:16px 12px; text-align:center} .bn-art .dev-stat b{display:block; font-family:var(--bn-mono); font-size:1.5em; line-height:1.12; font-weight:800; letter-spacing:-.02em; color:var(--bn-coral-txt)} .bn-art .dev-stat:nth-child(2) b{color:var(--bn-blue)} .bn-art .dev-stat:nth-child(3) b{color:var(--bn-green)} .bn-art .dev-stat:nth-child(4) b{color:var(--bn-ink)} .bn-art .dev-stat span{display:block; margin-top:7px; font-size:14px; color:var(--bn-muted); line-height:1.4} .bn-art .dev-line{margin:0 0 14px; font-size:16px; line-height:1.6; color:var(--bn-text)} .bn-art .dev-line b{font-family:var(--bn-mono); color:var(--bn-coral-txt); font-weight:700} .dvv{display:none; border-radius:var(--bn-r-sm); padding:16px 18px; background:#fff; border:1px solid var(--bn-border)} .dvv.on{display:block} .bn-art .dvv b{display:block; font-size:1.06em; color:var(--bn-ink); margin-bottom:5px} .bn-art .dvv p{margin:0; font-size:16px; line-height:1.62} @media(max-width:680px){ .dev-tiles{grid-template-columns:1fr 1fr} } .bn-fig.doc img{max-width:520px; margin:0 auto} .bn-nlu{background:var(--bn-card); border:1px solid var(--bn-border); border-radius:var(--bn-r); padding:24px 26px; margin:28px 0; box-shadow:var(--bn-sh)} .bn-nlu h3{margin:.1em 0 .3em} .bn-nlu>p{font-size:.95em; color:var(--bn-muted); margin:0 0 18px} .bn-nlu br{display:none} .bn-nlu p:empty{display:none; margin:0} .nlu-q{padding:15px 0; border-top:1px solid var(--bn-border)} .nlu-q:first-of-type{border-top:none; padding-top:2px} .bn-art .nlu-qt{font-weight:700; color:var(--bn-ink); margin:0 0 11px; font-size:16px; line-height:1.45} .bn-art .nlu-in{width:100%; font-family:inherit; font-size:16px; color:var(--bn-ink); background:#fff; border:1px solid var(--bn-border); border-radius:999px; padding:12px 18px; outline:none} .bn-art .nlu-in:focus{border-color:var(--bn-coral)} .nlu-ex{display:flex; flex-wrap:wrap; gap:8px; margin-top:12px} .nlu-ex p:not([class]){display:contents} .bn-art .nlu-exb{font-family:inherit; font-size:16px; line-height:1.35; color:var(--bn-ink); background:#fff; border:1px solid var(--bn-coral-line); border-radius:999px; padding:9px 16px; cursor:pointer; transition:.15s; text-align:left} .bn-art .nlu-exb:hover{background:var(--bn-coral-soft)} .nlu-out{margin:24px 0 0; border-radius:var(--bn-r-sm); background:var(--bn-sand-2); border:1px solid var(--bn-sand); padding:20px 22px} .bn-art .nlu-toks{margin:0 0 14px; font-size:16px; line-height:1.7; color:var(--bn-text)} .bn-art .nlu-toks b{font-family:var(--bn-mono); font-size:14px; text-transform:uppercase; letter-spacing:.08em; color:var(--bn-coral-txt); display:block; margin-bottom:8px} .bn-art .nlu-tk{display:inline-block; font-family:var(--bn-mono); font-size:14px; background:#fff; border:1px solid var(--bn-border); border-radius:999px; padding:3px 11px; margin:0 6px 6px 0; color:var(--bn-ink)} .nlu-row{display:grid; grid-template-columns:1fr 130px 54px; gap:12px; align-items:center; padding:10px 0; border-top:1px solid var(--bn-sand)} .nlu-row:first-child{border-top:none} .bn-art .nlu-lab{font-size:16px; line-height:1.4; color:var(--bn-ink); font-weight:700} .nlu-bar{height:10px; border-radius:999px; background:var(--bn-sand); overflow:hidden} .nlu-bar i{display:block; height:10px; background:var(--bn-coral); border-radius:999px; width:0} .nlu-row.win .nlu-bar i{background:var(--bn-green)} .bn-art .nlu-sc{font-family:var(--bn-mono); font-size:16px; font-weight:700; color:var(--bn-coral-txt); text-align:right} .nlu-verdict{margin:16px 0 0; border-radius:var(--bn-r-sm); padding:16px 18px; background:#fff; border:1px solid var(--bn-border); border-left:4px solid var(--bn-green)} .nlu-verdict.ko{border-left-color:var(--bn-coral)} .bn-art .nlu-verdict b{display:block; font-size:1.06em; color:var(--bn-ink); margin-bottom:5px} .bn-art .nlu-verdict p{margin:0; font-size:16px; line-height:1.62} .bn-art .nlu-note{font-size:16px; color:var(--bn-muted); margin:14px 0 0; font-style:italic} @media(max-width:680px){ .nlu-row{grid-template-columns:minmax(0,1fr) 64px 48px; gap:9px} .bn-art .nlu-lab{font-size:16px} } @media(max-width:560px){ .nlu-row{grid-template-columns:minmax(0,1fr) auto; gap:7px 10px; padding:12px 0} .bn-art .nlu-lab{grid-column:1; grid-row:1} .bn-art .nlu-sc{grid-column:2; grid-row:1; text-align:right} .nlu-bar{grid-column:1\/3; grid-row:2} } .bn-art code{font-family:var(--bn-mono); font-size:16px; line-height:1.5; background:var(--bn-sand-2); border:1px solid var(--bn-sand); border-radius:6px; padding:1px 7px; color:var(--bn-ink); word-break:break-word} .bn-art pre{background:var(--bn-sand-2); border:1px solid var(--bn-sand); border-radius:var(--bn-r-sm); padding:16px 18px; overflow-x:auto; margin:22px 0} .bn-art pre code{background:none; border:none; padding:0; font-size:16px} .bn-hd{background:var(--bn-card); border:1px solid var(--bn-border); border-radius:var(--bn-r); padding:24px 26px; margin:28px 0; box-shadow:var(--bn-sh)} .bn-hd h3{margin:.1em 0 .3em} .bn-hd>p{font-size:.95em; color:var(--bn-muted); margin:0 0 18px} .bn-hd br{display:none} .bn-hd p:empty{display:none; margin:0} .hd-q{padding:15px 0; border-top:1px solid var(--bn-border)} .hd-q:first-of-type{border-top:none; padding-top:2px} .bn-art .hd-qt{font-weight:700; color:var(--bn-ink); margin:0 0 11px; font-size:16px; line-height:1.45} .hd-out{margin:22px 0 0; border-radius:var(--bn-r-sm); background:var(--bn-sand-2); border:1px solid var(--bn-sand); padding:20px 22px} .hd-head{display:grid; grid-template-columns:minmax(0,auto) minmax(0,1fr); gap:18px; align-items:center} .hd-n{font-family:var(--bn-mono); font-weight:800; line-height:1; color:var(--bn-ink); white-space:nowrap} .bn-art .hd-n span{font-size:34px} .bn-art .hd-n i{font-style:normal; font-size:16px; color:var(--bn-muted); font-weight:600} .hd-track{position:relative; height:14px; border-radius:999px; background:#fff; border:1px solid var(--bn-sand); overflow:hidden} .hd-fill{position:absolute; left:0; top:0; bottom:0; width:0; background:var(--bn-coral); transition:width .18s} .hd-parts{display:grid; grid-template-columns:repeat(4,minmax(0,1fr)); gap:10px; margin-top:16px} .hd-part{background:#fff; border:1px solid var(--bn-sand); border-radius:var(--bn-r-sm); padding:11px 8px; text-align:center} .bn-art .hd-part span{display:block; font-family:var(--bn-mono); font-size:14px; text-transform:uppercase; letter-spacing:.05em; color:var(--bn-muted); line-height:1.3} .bn-art .hd-part b{display:block; font-family:var(--bn-mono); font-size:20px; font-weight:800; color:var(--bn-coral-txt); margin-top:4px} .hdv{display:none; margin-top:18px; border-radius:var(--bn-r-sm); background:#fff; border:1px solid var(--bn-sand); padding:17px 19px} .hdv-1{display:block; border-left:4px solid var(--bn-green)} .hdv-2{border-left:4px solid var(--bn-blue)} .hdv-3{border-left:4px solid var(--bn-coral)} .hdv-4{border-left:4px solid var(--bn-ink)} .bn-art .hdv b{display:block; font-size:18px; line-height:1.4; color:var(--bn-ink); margin-bottom:7px} .bn-art .hdv p{margin:0; font-size:16px; line-height:1.62; color:var(--bn-text)} .bn-art .hd-note{font-size:16px; color:var(--bn-muted); margin:14px 0 0; font-style:italic; line-height:1.55} @media(max-width:680px){ .bn-hd{padding:20px 17px} .hd-out{padding:17px 15px} .hd-head{grid-template-columns:minmax(0,1fr); gap:12px} .hd-parts{grid-template-columns:repeat(2,minmax(0,1fr))} } .bn-tri{background:var(--bn-card); border:1px solid var(--bn-border); border-radius:var(--bn-r); padding:24px 26px; margin:28px 0; box-shadow:var(--bn-sh)} .bn-tri h3{margin:.1em 0 .3em} .bn-tri>p{font-size:.95em; color:var(--bn-muted); margin:0 0 18px} .bn-tri br{display:none} .bn-tri p:empty{display:none; margin:0} .tri-q{padding:15px 0; border-top:1px solid var(--bn-border)} .tri-q:first-of-type{border-top:none; padding-top:2px} .bn-art .tri-qt{font-weight:700; color:var(--bn-ink); margin:0 0 11px; font-size:16px; line-height:1.45} .tri-out{margin:22px 0 0; border-radius:var(--bn-r-sm); background:var(--bn-sand-2); border:1px solid var(--bn-sand); padding:20px 22px} .triv{display:none; border-radius:var(--bn-r-sm); background:#fff; border:1px solid var(--bn-sand); padding:17px 19px} .triv-1{border-left:4px solid var(--bn-ink)} .triv-2{border-left:4px solid var(--bn-coral)} .triv-3{border-left:4px solid var(--bn-blue)} .triv-4{border-left:4px solid var(--bn-muted)} .triv-5{display:block; border-left:4px solid var(--bn-green)} .bn-art .triv em{display:block; font-style:normal; font-family:var(--bn-mono); font-size:14px; text-transform:uppercase; letter-spacing:.06em; color:var(--bn-coral-txt); margin-bottom:7px; line-height:1.4} .bn-art .triv b{display:block; font-size:18px; line-height:1.4; color:var(--bn-ink); margin-bottom:8px} .bn-art .triv p{margin:0 0 .7em; font-size:16px; line-height:1.62; color:var(--bn-text)} .bn-art .triv p:last-child{margin-bottom:0} .tri-lines{display:grid; grid-template-columns:repeat(2,minmax(0,1fr)); gap:12px; margin-top:16px} .tri-line{background:#fff; border:1px solid var(--bn-sand); border-radius:var(--bn-r-sm); padding:13px 15px} .bn-art .tri-line span{display:block; font-family:var(--bn-mono); font-size:14px; text-transform:uppercase; letter-spacing:.05em; color:var(--bn-muted); line-height:1.3; margin-bottom:6px} .bn-art .tri-line b{display:block; font-size:16px; line-height:1.55; color:var(--bn-ink); font-weight:600} .bn-art .tri-note{font-size:16px; color:var(--bn-muted); margin:14px 0 0; font-style:italic; line-height:1.55} .bn-tri .bn-tablewrap{margin-top:22px} .bn-art .tri-load{font-family:var(--bn-mono); font-size:16px; line-height:1.2; color:var(--bn-ink); background:#fff; border:1px solid var(--bn-coral-line); border-radius:999px; padding:8px 15px; cursor:pointer; white-space:nowrap; transition:.15s} .bn-art .tri-load:hover{background:var(--bn-coral-soft)} @media(max-width:680px){ .bn-tri{padding:20px 17px} .tri-out{padding:17px 15px} .tri-lines{grid-template-columns:minmax(0,1fr)} } .bn-art .bn-steps ol{list-style:none;padding:0;margin:0} .bn-art .bn-tip,.bn-art .bn-warn,.bn-art .bn-info{background:var(--bn-card);border:1px solid var(--bn-border);border-radius:var(--bn-r);padding:18px 20px;margin:24px 0;box-shadow:var(--bn-sh-sm)} .bn-art .bn-tip{border-left:4px solid var(--bn-green)} .bn-art .bn-warn{border-left:4px solid var(--bn-coral)} .bn-art .bn-info{border-left:4px solid var(--bn-blue)} .bn-art .bn-tip .bn-klabel,.bn-art .bn-warn .bn-klabel,.bn-art .bn-info .bn-klabel{margin-bottom:6px} .bn-art .bn-tip p,.bn-art .bn-warn p,.bn-art .bn-info p{margin:0} .bn-art .bn-tri table{table-layout:fixed;min-width:640px} .bn-art .bn-tri th:nth-child(1),.bn-art .bn-tri td:nth-child(1){width:22%} .bn-art .bn-tri th:nth-child(2),.bn-art .bn-tri td:nth-child(2){width:14%} .bn-art .bn-tri th:nth-child(3),.bn-art .bn-tri td:nth-child(3){width:14%} .bn-art .bn-tri th:nth-child(4),.bn-art .bn-tri td:nth-child(4){width:13%} .bn-art .bn-tri th:nth-child(5),.bn-art .bn-tri td:nth-child(5){width:22%} .bn-art .bn-tri th:nth-child(6),.bn-art .bn-tri td:nth-child(6){width:15%} .bn-art .bn-tri thead th,.bn-art .bn-tri tbody td{padding:11px 8px} .bn-art .tri-load{padding:4px 10px} .bn-art .bn-cta-in{text-align:center;margin:26px 0} .bn-lng{background:var(--bn-card); border:1px solid var(--bn-border); border-radius:var(--bn-r); padding:24px 26px; margin:28px 0; box-shadow:var(--bn-sh)} .bn-lng h3{margin:.1em 0 .3em} .bn-lng>p{font-size:.95em; color:var(--bn-muted); margin:0 0 18px} .bn-lng br{display:none} .bn-lng p:empty{display:none; margin:0} .lng-q{padding:15px 0; border-top:1px solid var(--bn-border)} .lng-q:first-of-type{border-top:none; padding-top:2px} .bn-art .lng-qt{font-weight:700; color:var(--bn-ink); margin:0 0 11px; font-size:16px; line-height:1.45} .lng-out{margin:22px 0 0; border-radius:var(--bn-r-sm); background:var(--bn-sand-2); border:1px solid var(--bn-sand); padding:20px 22px} .lng-lines{display:grid; grid-template-columns:repeat(2,minmax(0,1fr)); gap:12px} .lng-line{background:#fff; border:1px solid var(--bn-sand); border-radius:var(--bn-r-sm); padding:13px 15px} .bn-art .lng-line b{display:block; font-family:var(--bn-mono); font-size:14px; text-transform:uppercase; letter-spacing:.05em; color:var(--bn-muted); line-height:1.3; margin-bottom:6px} .bn-art .lng-line span{display:block; font-size:16px; line-height:1.55; color:var(--bn-ink); font-weight:600} .lngv{display:none; margin-top:16px; border-radius:var(--bn-r-sm); background:#fff; border:1px solid var(--bn-sand); padding:17px 19px} .lngv-1{display:block; border-left:4px solid var(--bn-blue)} .lngv-2{border-left:4px solid var(--bn-coral)} .lngv-3{border-left:4px solid var(--bn-green)} .lngv-4{border-left:4px solid var(--bn-ink)} .bn-art .lngv em{display:block; font-style:normal; font-family:var(--bn-mono); font-size:14px; text-transform:uppercase; letter-spacing:.06em; color:var(--bn-coral-txt); margin-bottom:7px; line-height:1.4} .bn-art .lngv b{display:block; font-size:18px; line-height:1.4; color:var(--bn-ink); margin-bottom:8px} .bn-art .lngv p{margin:0 0 .7em; font-size:16px; line-height:1.62; color:var(--bn-text)} .bn-art .lngv p:last-child{margin-bottom:0} .bn-art .lng-note{font-size:16px; color:var(--bn-muted); margin:14px 0 0; font-style:italic; line-height:1.55} .bn-lng .bn-tablewrap{margin-top:22px} .bn-art .bn-lng table{table-layout:fixed; min-width:620px} .bn-art .bn-lng th:nth-child(1),.bn-art .bn-lng td:nth-child(1){width:26%} .bn-art .bn-lng th:nth-child(2),.bn-art .bn-lng td:nth-child(2){width:28%} .bn-art .bn-lng th:nth-child(3),.bn-art .bn-lng td:nth-child(3){width:32%} .bn-art .bn-lng th:nth-child(4),.bn-art .bn-lng td:nth-child(4){width:14%} .bn-art .bn-lng thead th,.bn-art .bn-lng tbody td{padding:11px 10px} @media(max-width:680px){ .bn-lng{padding:20px 17px} .lng-out{padding:17px 15px} .lng-lines{grid-template-columns:minmax(0,1fr)} } .bn-gem{background:var(--bn-card);border:1px solid var(--bn-border);border-radius:var(--bn-r);padding:24px 26px;margin:28px 0;box-shadow:var(--bn-sh)} .bn-gem h3{margin:.1em 0 .3em} .bn-gem>p{font-size:16px;color:var(--bn-muted);margin:0 0 18px} .bn-gem br{display:none} .bn-gem p:empty{display:none;margin:0} .gem-q{padding:15px 0;border-top:1px solid var(--bn-border)} .gem-q:first-of-type{border-top:none;padding-top:2px} .bn-art .gem-qt{font-weight:700;color:var(--bn-ink);margin:0 0 11px;font-size:16px;line-height:1.45} .gem-out{margin:22px 0 0;border-radius:var(--bn-r-sm);background:var(--bn-sand-2);border:1px solid var(--bn-sand);padding:20px 22px} .giv{display:none;border-radius:var(--bn-r-sm);background:#fff;border:1px solid var(--bn-sand);padding:17px 19px;border-left:4px solid var(--bn-coral)} .giv.on{display:block} .giv0{border-left-color:var(--bn-green)} .giv4{border-left-color:var(--bn-blue)} .bn-art .giv em{display:block;font-style:normal;font-family:var(--bn-mono);font-size:14px;text-transform:uppercase;letter-spacing:.06em;color:var(--bn-coral-txt);margin-bottom:7px;line-height:1.4} .bn-art .giv b{display:block;font-size:18px;line-height:1.4;color:var(--bn-ink);margin-bottom:8px} .bn-art .giv p{margin:0;font-size:16px;line-height:1.62;color:var(--bn-text)} .bn-gem .bn-tablewrap{margin-top:22px} @media(max-width:680px){.bn-gem{padding:20px 17px}.gem-out{padding:17px 15px}} .bn-gene{background:var(--bn-card); border:1px solid var(--bn-border); border-radius:var(--bn-r); padding:24px 26px; margin:28px 0; box-shadow:var(--bn-sh)} .bn-gene h3{margin:.1em 0 .3em} .bn-gene>p{font-size:.95em; color:var(--bn-muted); margin:0 0 18px} .bn-gene br{display:none} .bn-gene p:empty{display:none; margin:0} .gene-q{padding:15px 0; border-top:1px solid var(--bn-border)} .gene-q:first-of-type{border-top:none; padding-top:2px} .bn-art .gene-qt{font-weight:700; color:var(--bn-ink); margin:0 0 11px; font-size:16px; line-height:1.45} .gene-out{margin:24px 0 0; border-radius:var(--bn-r-sm); background:var(--bn-sand-2); border:1px solid var(--bn-sand); padding:20px 22px} .gene-tiles{display:grid; grid-template-columns:repeat(3,minmax(0,1fr)); gap:14px; margin:0 0 16px} .gene-stat{background:#fff; border:1px solid var(--bn-border); border-radius:var(--bn-r-sm); padding:16px 12px; text-align:center} .bn-art .gene-stat b{display:block; font-family:var(--bn-mono); font-size:1.5em; line-height:1.12; font-weight:800; letter-spacing:-.02em; color:var(--bn-coral-txt)} .bn-art .gene-stat:nth-child(2) b{color:var(--bn-blue)} .bn-art .gene-stat:nth-child(3) b{color:var(--bn-green)} .bn-art .gene-stat span{display:block; margin-top:7px; font-size:14px; color:var(--bn-muted); line-height:1.4} .bn-art .gene-line{margin:0 0 14px; font-size:16px; line-height:1.6; color:var(--bn-text)} .bn-art .gene-line b{font-family:var(--bn-mono); color:var(--bn-coral-txt); font-weight:700} .gene-v{display:none; border-radius:var(--bn-r-sm); padding:16px 18px; background:#fff; border:1px solid var(--bn-border)} .gene-v.on{display:block} .bn-art .gene-v b{display:block; font-size:1.06em; color:var(--bn-ink); margin-bottom:5px} .bn-art .gene-v p{margin:0; font-size:16px; line-height:1.62} .bn-art .gene-note{margin:14px 0 0; font-size:16px; line-height:1.55; color:var(--bn-muted)} .bn-gene table.gene-data{margin:0 0 4px} .bn-art table.gene-data tbody tr.gene-hit td{background:var(--bn-green-soft)} @media(max-width:680px){ .gene-tiles{grid-template-columns:minmax(0,1fr)} }.bn-art .bn-cta-btn.ghost{background:transparent;color:#fbf7ec !important;border:2px solid var(--bn-coral);box-shadow:none}.bn-art .bn-cta-btn.ghost:hover{background:var(--bn-coral);color:#332c19 !important}`));document.head.appendChild(s);<\/script><\/p>\n<div class=\"bn-art\">\n<div class=\"bn-tldr\">\n<p><strong>In short:<\/strong> \u201cgenesys chatbot\u201d refers to the chatbots of Genesys, an American contact center software vendor: \u201cnative bots\u201d included in its Genesys Cloud CX plans, plus AI \u201cvirtual agents\u201d activated with tokens. The public grids captured on August 31, 2026 run from $75 to $240 per user per month (annual commitment, USD view), and from $95 to $135 for the voiceless Digital edition. It is a heavy-duty machine built for contact centers that already run teams of agents; for a website, WhatsApp or support chatbot with no contact center infrastructure, a no-code platform like Botnation deploys faster and bills per conversation. This article covers how it works, the prices captured at the source, a cost-structure simulator and the decision criteria.<\/p>\n<\/div>\n<p>Type \u201cgenesys chatbot\u201d into Google and you mostly land on the vendor\u2019s own pages: virtual agents, definitions, documentation. No surprise: the query names a specific product, not a generic topic. This guide does the work the official pages do not: explain what exactly the Genesys chatbot offer covers, put real numbers on it (grids captured at the source on August 31, 2026, in dollars and in euros), spell out for which profile it is the right choice, and for which one it is not. Every screenshot reproduced here was taken on the day of the capture, from the vendor\u2019s public pages and from our own pricing page, so that every figure in this article can be verified.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_87 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Summary<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #3d351f;color:#3d351f\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #3d351f;color:#3d351f\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 eztoc-toggle-hide-by-default' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/botnation.ai\/en\/genesys-chatbot\/#What_is_the_Genesys_chatbot\" >What is the Genesys chatbot?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/botnation.ai\/en\/genesys-chatbot\/#How_the_Genesys_chatbot_works_in_practice\" >How the Genesys chatbot works in practice<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/botnation.ai\/en\/genesys-chatbot\/#Genesys_chatbot_pricing_the_grids_captured_on_August_31_2026\" >Genesys chatbot pricing: the grids captured on August 31, 2026<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/botnation.ai\/en\/genesys-chatbot\/#%E2%80%9CAI_Experience%E2%80%9D_tokens_the_subtlety_to_know_before_budgeting\" >\u201cAI Experience\u201d tokens: the subtlety to know before budgeting<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/botnation.ai\/en\/genesys-chatbot\/#What_the_pricing_page_says_and_what_it_does_not\" >What the pricing page says, and what it does not<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/botnation.ai\/en\/genesys-chatbot\/#Two_budget_examples_to_set_the_order_of_magnitude\" >Two budget examples to set the order of magnitude<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/botnation.ai\/en\/genesys-chatbot\/#Simulator_seat_credit_or_token\" >Simulator: seat, credit or token?<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/botnation.ai\/en\/genesys-chatbot\/#Your_cost_structure_in_two_clicks\" >Your cost structure, in two clicks<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/botnation.ai\/en\/genesys-chatbot\/#Is_the_Genesys_chatbot_right_for_your_situation\" >Is the Genesys chatbot right for your situation?<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/botnation.ai\/en\/genesys-chatbot\/#The_right_choice_if%E2%80%A6\" >The right choice if\u2026<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/botnation.ai\/en\/genesys-chatbot\/#Less_relevant_if%E2%80%A6\" >Less relevant if\u2026<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/botnation.ai\/en\/genesys-chatbot\/#Side-by-side_summary\" >Side-by-side summary<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/botnation.ai\/en\/genesys-chatbot\/#How_to_try_and_deploy_a_Genesys_chatbot\" >How to try and deploy a Genesys chatbot<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/botnation.ai\/en\/genesys-chatbot\/#FAQ_the_questions_everyone_asks_about_the_Genesys_chatbot\" >FAQ: the questions everyone asks about the Genesys chatbot<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/botnation.ai\/en\/genesys-chatbot\/#Conclusion_the_right_tool_depends_on_the_agent_floor_not_the_buzz\" >Conclusion: the right tool depends on the agent floor, not the buzz<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/botnation.ai\/en\/genesys-chatbot\/#A_chatbot_with_no_contact_center_infrastructure\" >A chatbot with no contact center infrastructure?<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"What_is_the_Genesys_chatbot\"><\/span>What is the Genesys chatbot?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Genesys is an American vendor specializing in contact center software: call distribution, IVR, omnichannel routing, workforce supervision, quality analysis. Its flagship offer, <strong>Genesys Cloud CX<\/strong>, is a SaaS contact center platform. The \u201cGenesys chatbot\u201d is not a standalone product: it is the conversational layer of that platform, which comes in three tiers.<\/p>\n<ul>\n<li><strong>\u201cNative bots\u201d<\/strong>: the basic chatbots included in the plans (you will see them listed on the pricing cards below). They handle purposeful dialogues and are built with the platform\u2019s own tools.<\/li>\n<li><strong>AI \u201cvirtual agents\u201d<\/strong>: the upper tier, activated through \u201cAI Experience\u201d tokens. The product page puts it this way: \u201cWith Agentic Virtual Agent, you go beyond reactive automation. These agents reason, act and adapt at every step of the customer journey.\u201d (quote translated from the French page; original: \u201cAvec Agentic Virtual Agent, vous allez au-del\u00e0 de l\u2019automatisation r\u00e9active. Ces agents raisonnent, agissent et s\u2019adaptent \u00e0 chaque \u00e9tape du parcours client.\u201d)<\/li>\n<li><strong>Orchestrated third-party bots<\/strong>: the platform can also drive bots built elsewhere. The official documentation sums it up: \u201cGenesys Chatbots supports native platform Dialog Engine Bot Flows and third-party platforms such as Amazon, Google etc.\u201d<\/li>\n<\/ul>\n<div class=\"bn-def\">\n<p><span class=\"bn-klabel\">Definition (vendor\u2019s own words, in French)<\/span><\/p>\n<p>\u201cUn chatbot de centre de contact est un assistant virtuel pilot\u00e9 par IA qui automatise les conversations avec les clients sur les canaux digitaux (chat, messagerie, r\u00e9seaux sociaux, etc.). Il r\u00e9pond aux questions courantes, recueille des informations sur les clients et transmet les probl\u00e8mes complexes \u00e0 l\u2019agent humain le mieux adapt\u00e9 pour y r\u00e9pondre.\u201d In English: a contact center chatbot is an AI-powered virtual assistant that automates customer conversations across digital channels (chat, messaging, social networks, etc.). It answers common questions, gathers customer information and hands complex issues over to the best-suited human agent. Published by Genesys on its \u201ccontact center chatbot\u201d definition page, captured on August 31, 2026 (page available in French only).<\/p>\n<\/div>\n<p>The virtual agent promise rests on what the vendor calls \u201clarge action models\u201d: \u201cAu lieu de se baser sur la g\u00e9n\u00e9ration libre ou les scripts, Agentic Virtual Agent est pilot\u00e9 par de grands mod\u00e8les d\u2019action (LAM).\u201d (translated: instead of relying on free-form generation or scripts, Agentic Virtual Agent is driven by large action models). In other words, the bot does not merely reply: it triggers actions in the company\u2019s systems (check an order, book an appointment, update a record) within pre-defined guardrails, and hands over to a human when needed. The product page also promises \u201cno-code\u201d design inside Genesys Cloud AI Studio and execution across voice and digital channels.<\/p>\n<figure class=\"bn-fig\"><img src=\"https:\/\/botnation.ai\/wp-content\/uploads\/2026\/08\/botnation-ai-genesys-cap-aichatbots-en.jpg\" alt=\"Screenshot of the Genesys AI chatbots page: intelligent conversations through a scalable engine, with three feature cards\" decoding=\"async\"><figcaption>The Genesys \u201cAI chatbots\u201d marketing page (capture of August 31, 2026). The copy claims \u201cpersonalised, dynamic customer conversations\u201d against competitors \u201climited to predefined scripts\u201d.<\/figcaption><\/figure>\n<h2><span class=\"ez-toc-section\" id=\"How_the_Genesys_chatbot_works_in_practice\"><\/span>How the Genesys chatbot works in practice<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The official documentation (\u201cGenesys Chatbots\u201d, Genesys Cloud Resource Center, page consulted on August 31, 2026) describes an end-to-end flow: \u201cUse chatbots to automate customer conversations and seamlessly hand over to a chat agent when needed.\u201d Behind that sentence, four concrete mechanics.<\/p>\n<ol class=\"bn-steps\">\n<li><b>Entry from any digital channel.<\/b> The documentation lists web chat, mobile chat, Facebook Messenger, X (Twitter) direct messages, LINE, WhatsApp and SMS. The bot is the first contact: it identifies the requester, asks qualifying questions and attempts a resolution.<\/li>\n<li><b>Natural language understanding.<\/b> The bot relies on an NLU engine to extract intents and entities from the message. In practice Genesys leans on its own AI engines and on third-party integrations (notably Google Dialogflow), which matches the \u201cthird-party platforms\u201d mention quoted above.<\/li>\n<li><b>Actions in the back end.<\/b> A useful chatbot does more than talk: it looks up the CRM, queries the order system, opens a ticket. That is the whole point of \u201cagentic\u201d virtual agents, which execute multi-step workflows in back-office systems, according to the product page.<\/li>\n<li><b>Handover to a human, with context.<\/b> When the bot cannot resolve, the conversation is transferred to an agent with the full history: the \u201cseamless handover\u201d of the documentation. Queuing, routing and resolution statistics are handled by the contact center platform itself.<\/li>\n<\/ol>\n<figure class=\"bn-fig\"><img src=\"https:\/\/botnation.ai\/wp-content\/uploads\/2026\/08\/botnation-ai-genesys-cap-docs.jpg\" alt=\"Screenshot of the Genesys Chatbots use case in the Genesys Cloud documentation, with its benefits table\" decoding=\"async\"><figcaption>The \u201cGenesys Chatbots\u201d use case in the official documentation (capture of August 31, 2026). The benefits table lists an improved containment rate, customer experience, first contact resolution and employee utilization.<\/figcaption><\/figure>\n<p>One vendor-published number sets the tone: \u201c49 % des consommateurs d\u00e9clarent accorder la plus grande importance \u00e0 la r\u00e9solution au premier contact (FCR) lors d\u2019une interaction avec le service client, et 48 % privil\u00e9gient une r\u00e9ponse rapide.\u201d (from the \u201cState of Customer Experience\u201d study, Genesys, 2025, quoted on the French product page; translated: 49 % of consumers say first contact resolution matters most to them in a service interaction, and 48 % favor a fast answer). The promise is speed of resolution, not conversation for its own sake.<\/p>\n<figure class=\"bn-fig\"><img src=\"https:\/\/botnation.ai\/wp-content\/uploads\/2026\/08\/botnation-ai-genesys-corps1.jpg\" alt=\"3D diagram: messages arrive on a conveyor belt, a junction routes them either to a robot or to a human agent's desk bell\" decoding=\"async\"><figcaption>The principle in one image: every incoming conversation is routed, either resolved end to end by the bot, or handed to a human agent with its context.<\/figcaption><\/figure>\n<h2><span class=\"ez-toc-section\" id=\"Genesys_chatbot_pricing_the_grids_captured_on_August_31_2026\"><\/span>Genesys chatbot pricing: the grids captured on August 31, 2026<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Genesys publishes a public pricing grid, with one quirk: the price is quoted <strong>per user and per month, with an annual commitment<\/strong>, and the page offers several licence types (\u201cnamed\u201d, \u201cconcurrent\u201d, \u201chours of interaction\u201d). Here is the full Genesys Cloud CX grid as displayed in US dollars (USD view served in France, captured on August 31, 2026).<\/p>\n<div class=\"bn-tablewrap\">\n<table>\n<thead>\n<tr>\n<th>Plan<\/th>\n<th>Captured price<\/th>\n<th>What the plan includes for the chatbot<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Genesys Cloud CX 1<\/td>\n<td>$75\/user\/month (annual)<\/td>\n<td>Voice contact centers. Includes \u201cvirtual agents\u201d, \u201cnative voicebot\u201d, knowledge, predictive routing, Agent Copilot, speech and text analytics.<\/td>\n<\/tr>\n<tr>\n<td>Genesys Cloud CX 2<\/td>\n<td>$115\/user\/month (annual)<\/td>\n<td>Adds digital channels, omnichannel routing, quality assurance and compliance. \u201cVirtual agents\u201d and \u201cnative bots\u201d included.<\/td>\n<\/tr>\n<tr>\n<td>Genesys Cloud CX 3<\/td>\n<td>$155\/user\/month (annual)<\/td>\n<td>Adds full workforce engagement management (WEM): employee performance, workforce management, forecasting and scheduling, speech and text analytics.<\/td>\n<\/tr>\n<tr>\n<td>Genesys Cloud CX 4<\/td>\n<td>$240\/user\/month (annual)<\/td>\n<td>The \u201cmore AI\u201d tier: 30 AI Experience tokens per named agent, \u201cvirtual agents\u201d included, speech-enabled IVR, social listening, Supervisor Copilot and Virtual Supervisor.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<figure class=\"bn-fig\"><img src=\"https:\/\/botnation.ai\/wp-content\/uploads\/2026\/08\/botnation-ai-genesys-cap-pricing-usd.jpg\" alt=\"Screenshot of the Genesys Cloud CX 1 to CX 4 plans in US dollars per user per month, captured on August 31, 2026\" decoding=\"async\"><figcaption>The Genesys Cloud CX grid in the USD view (capture of August 31, 2026): $75, $115, $155 and $240 per user per month, billed annually. The euro view served in France showed a different packaging the same day: 60, 92, 124 and 192 \u20ac per user per month, with \u201cnative bots\u201d listed on CX 1 to CX 3 and \u201cvirtual agents\u201d only on CX 4.<\/figcaption><\/figure>\n<p>Genesys also sells a <strong>Genesys Cloud CX Digital<\/strong> edition, without voice, dedicated to digital interactions: it is the edition that maps most directly to a \u201cchatbot\u201d project in the strict sense.<\/p>\n<div class=\"bn-tablewrap\">\n<table>\n<thead>\n<tr>\n<th>Digital plan<\/th>\n<th>Captured price<\/th>\n<th>What the plan includes<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Genesys Cloud CX 2 Digital<\/td>\n<td>$95\/user\/month (annual)<\/td>\n<td>\u201cDigital channels, including SMS, WhatsApp and more\u201d, digital message routing, outbound campaigns, analytics and reporting, quality assurance and compliance, knowledge, \u201cnative bots\u201d, Agent Copilot, \u201cvirtual agent\u201d.<\/td>\n<\/tr>\n<tr>\n<td>Genesys Cloud CX 3 Digital<\/td>\n<td>$135\/user\/month (annual)<\/td>\n<td>The same foundation, plus employee performance, resource management, forecasting and scheduling, speech and text analytics.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<figure class=\"bn-fig\"><img src=\"https:\/\/botnation.ai\/wp-content\/uploads\/2026\/08\/botnation-ai-genesys-cap-digital-usd.jpg\" alt=\"Screenshot of the Genesys Cloud CX 2 Digital and CX 3 Digital plans in US dollars per user per month\" decoding=\"async\"><figcaption>The Genesys Cloud CX Digital edition in the USD view (capture of August 31, 2026): $95 and $135 per user per month, annual commitment. There is no \u201cCX 1 Digital\u201d entry plan: the digital edition starts at CX 2. In the euro view captured the same day, the same plans displayed 76 \u20ac and 108 \u20ac.<\/figcaption><\/figure>\n<h3><span class=\"ez-toc-section\" id=\"%E2%80%9CAI_Experience%E2%80%9D_tokens_the_subtlety_to_know_before_budgeting\"><\/span>\u201cAI Experience\u201d tokens: the subtlety to know before budgeting<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>On the same page, a banner states that \u201cAll plans natively enabled with ready-to-use Genesys Cloud AI capabilities\u201d and that \u201cGenesys Cloud AI Experience tokens required for certain features.\u201d The comparison table details the allowance as follows (labels of the USD view, captured on August 31, 2026): \u201c250 named \/ 350 concurrent tokens per org\/month included\u201d, then \u201c+30 named \/ +39 concurrent tokens per agent\/month\u201d. In plain terms: the advanced AI features, virtual agents included on plans CX 1 to CX 3, are consumed in tokens, and the included allowance covers an organization up to 250 \u201cnamed\u201d users; beyond that, each additional agent adds a monthly cost. Only plan CX 4 ships 30 tokens per named agent up front.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"What_the_pricing_page_says_and_what_it_does_not\"><\/span>What the pricing page says, and what it does not<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div class=\"bn-warn bn-call\">\n<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M10.29 3.86L1.82 18a2 2 0 0 0 1.71 3h16.94a2 2 0 0 0 1.71-3L13.71 3.86a2 2 0 0 0-3.42 0z\"><\/path><line x1=\"12\" y1=\"9\" x2=\"12\" y2=\"13\"><\/line><line x1=\"12\" y1=\"17\" x2=\"12.01\" y2=\"17\"><\/line><\/svg>\n<div><span class=\"bn-klabel\">Read this before budgeting<\/span>\n<p>The pricing page carries this disclaimer: \u201cThis page is for information purposes only and subject to change. Prices shown are based on an annual commitment. Usage-based pricing may apply.\u201d The call to action is not \u201cbuy\u201d but \u201cget custom pricing\u201d: for a real deployment, the final quote will depend on the licence type, the add-ons and the token consumption.<\/p>\n<\/div>\n<\/div>\n<p>Another point of vigilance, found by comparing the two language views of the same page: <strong>the dollar view does more than convert<\/strong>. Opened from France on August 31, 2026, it showed $75, $115, $155 and $240 for CX 1 to CX 4 (and $95\/$135 for the Digital edition), with a different packaging: the CX 1 plan in the English view includes \u201cvirtual agents\u201d, which the French CX 1 card did not list. Morale: never price a Genesys project without re-reading the grid in your own currency, and ask for the quote.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Two_budget_examples_to_set_the_order_of_magnitude\"><\/span>Two budget examples to set the order of magnitude<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>With these public prices alone (USD view, annual commitment): a team of 10 named users on the entry digital plan CX 2 Digital costs 10 \u00d7 $95 = $950 per month, or $11,400 per year. The same headcount on the omnichannel plan CX 2 costs 10 \u00d7 $115 = $1,150 per month. Those figures include neither add-ons, nor tokens beyond the allowance, nor any negotiated discount: they are arithmetic floors, not commercial proposals. (In the euro view captured the same day, the same 10-user team on CX 2 Digital came to 10 \u00d7 76 \u20ac = 760 \u20ac per month.)<\/p>\n<figure class=\"bn-fig\"><img src=\"https:\/\/botnation.ai\/wp-content\/uploads\/2026\/08\/botnation-ai-genesys-corps2.jpg\" alt=\"Brass balance comparing a single tile and a pile of coins: per-seat billing against per-credit billing\" decoding=\"async\"><figcaption>Two cost structures compete: per-user billing (seats) and usage-based billing (credits). The simulator below compares them on your own assumptions.<\/figcaption><\/figure>\n<h2><span class=\"ez-toc-section\" id=\"Simulator_seat_credit_or_token\"><\/span>Simulator: seat, credit or token?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Contact center platforms bill per seat (per named user), mass-market chatbot platforms bill per credit (per AI request). To arbitrate, the right reflex is to pin down two variables: how many users need access to the platform, and how many conversations your bot actually handles per month. The simulator below computes both cost structures on those assumptions, from public data captured on August 31, 2026 only, displayed in the table: the amounts recompute at every click, and the data row in use is highlighted in green. Amounts are the euro figures of the August 31 EUR capture, so that both languages share the same dataset; the dollar grid above serves as a cross-check.<\/p>\n<div class=\"bn-gene\" data-sep=\",\" data-cur=\" \u20ac\">\n<span class=\"bn-klabel\">Simulator<\/span>\n<h3><span class=\"ez-toc-section\" id=\"Your_cost_structure_in_two_clicks\"><\/span>Your cost structure, in two clicks<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Two readings of the market, computed on your assumptions (public data, EUR view, prices excluding tax).<\/p>\n<div class=\"bn-tablewrap\">\n<table class=\"gene-data\">\n<thead>\n<tr>\n<th>Reading<\/th>\n<th>Reference captured on 08\/31\/2026<\/th>\n<th>Value used<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr data-seat=\"76\">\n<td>Seats (Genesys)<\/td>\n<td>Genesys Cloud CX 2 Digital: 76 \u20ac per user per month, billed annually (EUR view, entry digital plan)<\/td>\n<td>76 \u20ac\/user\/month<\/td>\n<\/tr>\n<tr data-tokfrom=\"250\" data-tok=\"30\">\n<td>AI tokens (Genesys)<\/td>\n<td>\u201c250 named \/ 350 concurrent tokens per org\/month included\u201d, then \u201c+30 named \/ +39 concurrent tokens per agent\/month\u201d<\/td>\n<td>+30 \u20ac\/agent\/month beyond 250<\/td>\n<\/tr>\n<tr data-min=\"1000\" data-eur=\"25\">\n<td>1,000-credit pack (Botnation)<\/td>\n<td>1,000 credits: 25 \u20ac (public grid, prices excluding tax)<\/td>\n<td>25 \u20ac<\/td>\n<\/tr>\n<tr data-min=\"5000\" data-eur=\"100\">\n<td>5,000-credit pack (Botnation)<\/td>\n<td>5,000 credits: 100 \u20ac (public grid, prices excluding tax)<\/td>\n<td>100 \u20ac<\/td>\n<\/tr>\n<tr data-min=\"15000\" data-eur=\"250\">\n<td>15,000-credit pack (Botnation)<\/td>\n<td>15,000 credits: 250 \u20ac (public grid, prices excluding tax)<\/td>\n<td>250 \u20ac<\/td>\n<\/tr>\n<tr data-min=\"60000\" data-eur=\"900\">\n<td>60,000-credit pack (Botnation)<\/td>\n<td>60,000 credits: 900 \u20ac (public grid, prices excluding tax)<\/td>\n<td>900 \u20ac<\/td>\n<\/tr>\n<tr>\n<td>Monthly plans (Botnation)<\/td>\n<td>BASIC 39 \u20ac\/month or PRO 59 \u20ac\/month, AI credits granted once; overage user: 0.05 \u20ac\/user\/month<\/td>\n<td>not used in the computation<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div class=\"gene-q\">\n<p class=\"gene-qt\">1. How many named users need access to the platform?<\/p>\n<div class=\"gene-a cdc-chips\">\n<label class=\"cdc-chip\" for=\"gene-a5\"><input type=\"radio\" name=\"gene-a\" id=\"gene-a5\" value=\"5\" data-l=\"5 named users\" checked> 5<\/label><br>\n<label class=\"cdc-chip\" for=\"gene-a40\"><input type=\"radio\" name=\"gene-a\" id=\"gene-a40\" value=\"40\" data-l=\"40 named users\"> 40<\/label><br>\n<label class=\"cdc-chip\" for=\"gene-a120\"><input type=\"radio\" name=\"gene-a\" id=\"gene-a120\" value=\"120\" data-l=\"120 named users\"> 120<\/label><br>\n<label class=\"cdc-chip\" for=\"gene-a300\"><input type=\"radio\" name=\"gene-a\" id=\"gene-a300\" value=\"300\" data-l=\"300 named users\"> 300<\/label>\n<\/div>\n<\/div>\n<div class=\"gene-q\">\n<p class=\"gene-qt\">2. How many conversations does your bot handle per month?<\/p>\n<div class=\"gene-c cdc-chips\">\n<label class=\"cdc-chip\" for=\"gene-c500\"><input type=\"radio\" name=\"gene-c\" id=\"gene-c500\" value=\"500\" data-l=\"500 AI conversations\" checked> 500<\/label><br>\n<label class=\"cdc-chip\" for=\"gene-c2000\"><input type=\"radio\" name=\"gene-c\" id=\"gene-c2000\" value=\"2000\" data-l=\"2,000 AI conversations\"> 2,000<\/label><br>\n<label class=\"cdc-chip\" for=\"gene-c8000\"><input type=\"radio\" name=\"gene-c\" id=\"gene-c8000\" value=\"8000\" data-l=\"8,000 AI conversations\"> 8,000<\/label><br>\n<label class=\"cdc-chip\" for=\"gene-c25000\"><input type=\"radio\" name=\"gene-c\" id=\"gene-c25000\" value=\"25000\" data-l=\"25,000 AI conversations\"> 25,000<\/label>\n<\/div>\n<\/div>\n<div class=\"gene-out\">\n<div class=\"gene-tiles\">\n<div class=\"gene-stat\"><b id=\"gene-s\">380 \u20ac<\/b><span>per-seat reading (Genesys CX 2 Digital, tokens included if exceeded)<\/span><\/div>\n<div class=\"gene-stat\"><b id=\"gene-p\">25 \u20ac<\/b><span>per-credit reading (smallest Botnation pack covering the volume)<\/span><\/div>\n<div class=\"gene-stat\"><b id=\"gene-g\">+355 \u20ac<\/b><span>monthly gap between the two structures<\/span><\/div>\n<\/div>\n<p class=\"gene-line\">For <b id=\"gene-la\">5 named users<\/b> and <b id=\"gene-lc\">500 AI conversations<\/b>: <b id=\"gene-ls\">380 \u20ac<\/b> on the seat side versus <b id=\"gene-lp\">25 \u20ac<\/b> on the credit-pack side.<\/p>\n<div class=\"gene-v on\" id=\"gene-v0\"><b>The per-seat reading weighs at least twice as much<\/b>\n<p>Rule applied: seats at least 2 times the pack. At this headcount, a contact center platform billed per user costs far more than the credits of a standalone bot: that budget is justified by the rest of the suite (routing, IVR, quality, workforce management), not by the chatbot alone.<\/p>\n<\/div>\n<div class=\"gene-v\" id=\"gene-v1\"><b>The credit pack costs more than the seats<\/b>\n<p>Rule applied: pack at least 1.5 times the seats. With very few users and many AI conversations, the per-credit reading becomes the main line item: that is the profile of a bot working alone on a website or a messaging app, with no agent team to equip.<\/p>\n<\/div>\n<div class=\"gene-v\" id=\"gene-v2\"><b>Both structures meet in the middle<\/b>\n<p>Rule applied: neither one dominates clearly (ratio between 1.5 and 2). The real decision criterion then leaves the budget: a contact center to equip favors the full per-seat suite, a website or messaging bot favors the per-credit platform.<\/p>\n<\/div>\n<div class=\"gene-v\" id=\"gene-v3\"><b>And the AI token allowance is exceeded<\/b>\n<p>Rule applied: more than 250 named users. The August 31, 2026 capture shows an allowance of 250 named \/ 350 concurrent tokens per organization per month, then +30 named \/ +39 concurrent tokens per agent per month: the surcharge is added to the seat computation. At that headcount, \u201cAI\u201d becomes a budget line of its own, to be negotiated in the quote.<\/p>\n<\/div>\n<p class=\"gene-note\">Assumptions: per-seat reading = entry digital plan Genesys Cloud CX 2 Digital, 76 \u20ac per user per month billed annually (EUR view of 08\/31\/2026); token surcharge applied beyond 250 named users at +30 \u20ac per agent per month (same capture); per-credit reading = smallest Botnation credit pack covering the monthly volume, 1 credit = 1 basic AI request (grid equivalences: 1,000 credits also cover 500 advanced requests or 100 GPT-4.0 requests), excluding BASIC and PRO monthly plans whose credits are granted once; Genesys \u201cnamed users\u201d are users of the contact center platform (human agents, supervisors), not bots; amounts exclude tax, discounts and quotes.<\/p>\n<\/div>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"Is_the_Genesys_chatbot_right_for_your_situation\"><\/span>Is the Genesys chatbot right for your situation?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Prices aside, the substance: which problem does this machine solve, and when is it overkill? The answer boils down to one question: do you already run a contact center worth equipping?<\/p>\n<div class=\"bn-cols\">\n<div class=\"bn-col biz\">\n<h4><span class=\"ez-toc-section\" id=\"The_right_choice_if%E2%80%A6\"><\/span><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><polyline points=\"20 6 9 17 4 12\"><\/polyline><\/svg>The right choice if\u2026<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<ul>\n<li>You already run a contact center (voice and\/or digital) with teams of agents to route, supervise and evaluate: the chatbot then plugs into the queue, the statistics and the agent tools already in place.<\/li>\n<li>You need serious omnichannel: voice, chat, email, SMS, WhatsApp and social networks in a single queue, with context-aware handover to humans.<\/li>\n<li>Compliance and quality are structural (banking, insurance, healthcare, telecom): recording, quality assurance, workforce management and speech analytics are in the catalogue of the higher plans.<\/li>\n<li>You want the bot to act in your systems (order status, record updates), not just answer: that is the stated promise of the virtual agents.<\/li>\n<\/ul>\n<\/div>\n<div class=\"bn-col warn\">\n<h4><span class=\"ez-toc-section\" id=\"Less_relevant_if%E2%80%A6\"><\/span><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"12\" r=\"10\"><\/circle><line x1=\"15\" y1=\"9\" x2=\"9\" y2=\"15\"><\/line><line x1=\"9\" y1=\"9\" x2=\"15\" y2=\"15\"><\/line><\/svg>Less relevant if\u2026<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<ul>\n<li>You have no agent team to seat: paying a per-user licence for a bot that answers on a website is like renting an office building for one desk.<\/li>\n<li>Your volume does not justify an annual per-user commitment: in our examples, the entry digital plan starts at $950\/month for 10 users, where a per-credit bot bills actual usage.<\/li>\n<li>You want a first chatbot live within days, run by non-technical teams: the Genesys platform targets customer operations teams that live inside the tool, with a real learning curve.<\/li>\n<li>Your need is first and foremost local (support, copywriting, experts on the phone): the Genesys ecosystem in most markets runs through system integrators, and the reference documentation is in English.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<h3><span class=\"ez-toc-section\" id=\"Side-by-side_summary\"><\/span>Side-by-side summary<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div class=\"bn-tablewrap\">\n<table>\n<thead>\n<tr>\n<th>Criterion<\/th>\n<th>Genesys (chatbot + contact center)<\/th>\n<th>Botnation (no-code platform + built-for-you offer)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Natural fit<\/td>\n<td>Equipped contact centers, large accounts, voice and digital omnichannel<\/td>\n<td>Companies of any size wanting a chatbot on their website, WhatsApp, Messenger, Instagram<\/td>\n<\/tr>\n<tr>\n<td>Captured billing<\/td>\n<td>Per user\/month, annual commitment: $75 to $240 (full edition) or $95 to $135 (Digital); euro view 60 to 192 \u20ac<\/td>\n<td>FOR FREE $0, BASIC 39 \u20ac\/month, PRO 59 \u20ac\/month, ENTERPRISE on demand; credit packs from 25 \u20ac to 900 \u20ac<\/td>\n<\/tr>\n<tr>\n<td>AI consumption<\/td>\n<td>\u201cAI Experience\u201d tokens: allowance of 250 named\/350 concurrent per org\/month, then a per-agent surcharge<\/td>\n<td>Credits: 1 credit = 1 basic AI request; 1,000 credits also cover 500 advanced requests or 100 GPT-4.0 requests<\/td>\n<\/tr>\n<tr>\n<td>Bot building<\/td>\n<td>Platform tools (AI Studio, Architect, Dialog Engine Bot Flows) or third-party bots (Google, Amazon)<\/td>\n<td>English-language no-code builder; or a chatbot built for you by our chatbot creation experts (Enterprise offer, on demand)<\/td>\n<\/tr>\n<tr>\n<td>Human handover<\/td>\n<td>At the core of the platform: queues, routing, context, supervision<\/td>\n<td>Transfer to your teams or tools (CRM, email, tickets), with no contact center infrastructure<\/td>\n<\/tr>\n<tr>\n<td>Time to launch<\/td>\n<td>Structured project (licence, integration, setup), custom quote<\/td>\n<td>Free account in minutes; built-for-you via a quote and a dedicated account manager<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<figure class=\"bn-fig\"><img src=\"https:\/\/botnation.ai\/wp-content\/uploads\/2026\/08\/botnation-ai-genesys-cap-bn-pricing-en.jpg\" alt=\"Screenshot of the Botnation offers: FOR FREE, BASIC 39 euros, PRO 59 euros and ENTERPRISE on demand with chatbot creation services\" decoding=\"async\"><figcaption>Our own grid, captured the same day (August 31, 2026): public price ranges on the left, and the Enterprise offer on the right which literally includes \u201cchatbot creation services\u201d, a dedicated account manager and personalized onboarding, on demand.<\/figcaption><\/figure>\n<div class=\"bn-tip bn-call\">\n<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M14 9V5a3 3 0 0 0-3-3l-4 9v11h11.28a2 2 0 0 0 2-1.7l1.38-9a2 2 0 0 0-2-2.3zM7 22H4a2 2 0 0 1-2-2v-7a2 2 0 0 1 2-2h3\"><\/path><\/svg>\n<div><span class=\"bn-klabel\">The Botnation bridge<\/span>\n<p>Genesys equips the contact center; Botnation makes your website, your messaging apps and your customers talk, with no infrastructure. And if you want both levels of service, we assume it: the no-code platform for day-to-day autonomy, and a team that builds your chatbot end to end when you would rather delegate (Enterprise offer, on demand: the team that builds is the team that edits the platform, and you keep control of your account after delivery). For an automation example focused on agent teams, see our article on the <a href=\"https:\/\/botnation.ai\/en\/call-center-chatbot\/\">call center chatbot<\/a>.<\/p>\n<\/div>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"How_to_try_and_deploy_a_Genesys_chatbot\"><\/span>How to try and deploy a Genesys chatbot<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Genesys does not sell its plans online in one click: every pricing card leads to \u201cget custom pricing\u201d and a bookable demonstration. The typical path of a project, from the vendor\u2019s public pages and its documentation:<\/p>\n<ol class=\"bn-steps\">\n<li><b>Frame the use cases and the volumes.<\/b> Number of named users (agents, supervisors), monthly conversations, channels actually opened: exactly the two variables of the simulator above, and they drive the economics.<\/li>\n<li><b>Pick the edition and the licence.<\/b> Full edition (CX 1 to CX 4) or Digital (no voice); named, concurrent or hours-of-interaction licence; check the currency of the grid (the EUR and USD views diverge, capture of August 31, 2026).<\/li>\n<li><b>Build the bot.<\/b> Native bots for purposeful dialogues, virtual agents (AI Experience tokens) for AI-assisted resolution, or the integration of an existing third-party bot (Google, Amazon) through Dialog Engine Bot Flows.<\/li>\n<li><b>Connect the channels and the systems.<\/b> Web and mobile chat, WhatsApp, Messenger, SMS, email depending on the plan; connections to the CRM and back-office tools so the bot acts, not just answers.<\/li>\n<li><b>Design the human handover.<\/b> Queues, opening hours, waiting messages, transfer with context: this is the most structural part of a deployment, the one that separates a contact center from a plain bot.<\/li>\n<li><b>Measure and iterate.<\/b> Bot containment rate, re-contact rate, satisfaction: the official documentation lists improved containment as the first expected benefit.<\/li>\n<\/ol>\n<p>For a first trial without a project: the platform is evaluated through a demonstration booked on the vendor\u2019s website. And if your need is a support or sales chatbot on your website and messaging apps, with no contact center infrastructure, you can create a free account on Botnation, explore our <a href=\"https:\/\/botnation.ai\/en\/channels\/\">channels (website, WhatsApp, Messenger, Instagram)<\/a>, our <a href=\"https:\/\/botnation.ai\/en\/products\/client-support\/\">client support module<\/a>, or <a href=\"https:\/\/botnation.ai\/en\/contact\/\">talk to our chatbot creation experts<\/a>.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"FAQ_the_questions_everyone_asks_about_the_Genesys_chatbot\"><\/span>FAQ: the questions everyone asks about the Genesys chatbot<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<details class=\"bn-faq\">\n<summary>What budget for 10 agents?<\/summary>\n<div class=\"bn-faq-b\">\n<p>On the public prices captured on August 31, 2026 (USD view, annual commitment): $950\/month on the entry digital plan CX 2 Digital (10 \u00d7 $95), $1,150\/month on the omnichannel plan CX 2 (10 \u00d7 $115). That floor excludes add-ons, AI tokens beyond the included allowance, and any negotiated discount: the official page invites you to get custom pricing anyway.<\/p>\n<\/div>\n<\/details>\n<details class=\"bn-faq\">\n<summary>Is there a free plan or a no-commitment option?<\/summary>\n<div class=\"bn-faq-b\">\n<p>No free tier is displayed on the Genesys grids captured at the source: public prices start at $75 (full edition) or $95 (Digital) per user per month, billed annually, and the page warns that usage-based pricing may apply. That is a real contrast with mass-market chatbot platforms: at Botnation, a permanent free account (0 \u20ac) exists, with plans from 39 \u20ac\/month and no infrastructure to assemble.<\/p>\n<\/div>\n<\/details>\n<details class=\"bn-faq\">\n<summary>What is the difference between \u201cnative bots\u201d and \u201cvirtual agents\u201d?<\/summary>\n<div class=\"bn-faq-b\">\n<p>\u201cNative bots\u201d are the basic chatbots included in the plans: purposeful dialogues, Q&amp;A, data collection. \u201cVirtual agents\u201d are the advanced AI tier: language understanding, actions in your systems, replanning. On the captured grid, they appear explicitly on the CX 4 card (\u201cvirtual agents\u201d + 30 AI Experience tokens per named agent) and are consumed in tokens on the lower plans. The documentation also mentions support for third-party bots (Google Dialogflow, Amazon) for teams that already invested elsewhere.<\/p>\n<\/div>\n<\/details>\n<details class=\"bn-faq\">\n<summary>How do \u201cAI Experience\u201d tokens work?<\/summary>\n<div class=\"bn-faq-b\">\n<p>According to the pricing page (USD view of 08\/31\/2026): every organization receives a monthly allowance of \u201c250 named \/ 350 concurrent tokens\u201d included, and beyond it the grid displays \u201c+30 named \/ +39 concurrent tokens per agent\/month\u201d. The exact label on the page stays summarized (no per-feature unit of consumption), so the real AI cost of a project gets pinned down in the quote: that is precisely the line to have put in writing.<\/p>\n<\/div>\n<\/details>\n<details class=\"bn-faq\">\n<summary>Is Genesys suitable for small businesses?<\/summary>\n<div class=\"bn-faq-b\">\n<p>The platform is built for organizations that run customer service teams and large volumes: annual per-user commitment, entry digital plan at $95\/user\/month, an integration project. A small business with no existing contact center would pay seats for a need often covered by one website and messaging bot: in that case, a no-code per-credit platform (with local support and an optional built-for-you service) covers the need for a fraction of the budget. Break-even thresholds depend on volumes: test them with the simulator in this article.<\/p>\n<\/div>\n<\/details>\n<details class=\"bn-faq\">\n<summary>Does the Genesys chatbot work in languages other than English?<\/summary>\n<div class=\"bn-faq-b\">\n<p>The vendor serves its site and resources in several languages (the French pages quoted in this article are one example), and its conversational engines handle multiple languages through their NLU layer, including third-party engines. Points to check during a demo: the language of the building tools, the reference documentation (mostly English, like the use case quoted in this article), and the local depth of the integrator ecosystem in your market.<\/p>\n<\/div>\n<\/details>\n<details class=\"bn-faq\">\n<summary>Which alternatives are there to Genesys for a chatbot?<\/summary>\n<div class=\"bn-faq-b\">\n<p>Three families, depending on the problem to solve: contact center suites (Genesys and vendors of the same market) if you equip an agent floor; no-code chatbot platforms (including <a href=\"https:\/\/botnation.ai\/en\/\">Botnation<\/a>) if you want a bot on website and messaging apps with no infrastructure; and subscription AI assistants if the need is individual. The right sorting uses two numbers: your named users and your conversations per month, exactly the inputs of the simulator above.<\/p>\n<\/div>\n<\/details>\n<h2><span class=\"ez-toc-section\" id=\"Conclusion_the_right_tool_depends_on_the_agent_floor_not_the_buzz\"><\/span>Conclusion: the right tool depends on the agent floor, not the buzz<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The Genesys chatbot is a serious product, publicly priced high but consistent with what it contains: an omnichannel queue, agent tools, compliance, and now a layer of AI virtual agents billed in tokens. The grids captured on August 31, 2026 give clear floors: $75 to $240 per user per month on the full edition, $95 to $135 on the Digital edition, annual commitment, a quote to go further. If your reality is a contact center to equip, it is a legitimate candidate: have the licence, the add-ons and the tokens quoted, and compare the two currency views of the grid. If your reality is a website, a messaging app and the will to automate without a building of licences, the per-credit reading almost always wins: that is our trade, from the free account to the chatbot built end to end by our experts.<\/p>\n<div class=\"bn-cta\">\n<h3><span class=\"ez-toc-section\" id=\"A_chatbot_with_no_contact_center_infrastructure\"><\/span>A chatbot with no contact center infrastructure?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Tell us your volumes and your channels: our chatbot creation experts will answer, or start for free on the platform.<\/p>\n<p><a class=\"bn-cta-btn\" href=\"https:\/\/botnation.ai\/en\/contact\/\">Talk to our experts<\/a><br>\n<a class=\"bn-cta-btn ghost\" href=\"https:\/\/botnation.ai\/en\/pricing\/\">See our pricing<\/a>\n<\/p><\/div>\n<p style=\"font-size:16px;color:#6d6653;line-height:1.6;margin-top:26px;\">Sources and captures: public Genesys pages consulted on August 31, 2026 (Genesys Cloud CX pricing in the USD and EUR views, Genesys Cloud CX Digital pricing, the Agentic Virtual Agent page, the \u201ccontact center chatbot\u201d definition page in French, the \u201cGenesys Chatbots\u201d use case of the Resource Center); the Botnation pricing grid and credit equivalences captured the same day on botnation.ai (prices excluding tax). The screenshots reproduced in this article come from those pages. Third-party prices move: re-read them before any purchasing decision.<\/p>\n<\/div>\n<p><script>(function(){ var w=document.querySelector('.bn-gene'); if(!w){return;} if(w.getAttribute('data-bound')){return;} w.setAttribute('data-bound','1'); var seatRow=w.querySelector('tr[data-seat]'); var tokRow=w.querySelector('tr[data-tok]'); if(!seatRow||!tokRow){return;} var seats=parseInt(seatRow.getAttribute('data-seat'),10); var tokFrom=parseInt(tokRow.getAttribute('data-tokfrom'),10); var tok=parseInt(tokRow.getAttribute('data-tok'),10); var rows=w.querySelectorAll('table.gene-data tbody tr[data-min]'); var sep=w.getAttribute('data-sep'); if(!sep){sep=' ';} var cur=w.getAttribute('data-cur'); if(!cur){cur=' \\u20ac';} var aIn=w.querySelectorAll('.gene-a input'); var cIn=w.querySelectorAll('.gene-c input'); var sEl=document.getElementById('gene-s'); var pEl=document.getElementById('gene-p'); var gEl=document.getElementById('gene-g'); var laEl=document.getElementById('gene-la'); var lcEl=document.getElementById('gene-lc'); var lsEl=document.getElementById('gene-ls'); var lpEl=document.getElementById('gene-lp'); var panes=w.querySelectorAll('.gene-v'); function fmt(n){ var s=String(Math.round(n)); var neg=false; if(s.charAt(0)=='-'){neg=true;s=s.slice(1);} var out=''; while(s.length>3){out=sep+s.slice(-3)+out;s=s.slice(0,-3);} var r=s+out; if(neg){r='-'+r;} return r; } function sel(group){ var v=null; for(var i=0;group.length>i;i++){ if(group[i].checked){v=group[i];break;} } return v; } function show(idx){ for(var i=0;panes.length>i;i++){ if(i==idx){panes[i].className='gene-v on';} else{panes[i].className='gene-v';} } } function calc(){ var a=sel(aIn); var c=sel(cIn); if(!a||!c){return;} var av=parseInt(a.value,10); var cv=parseInt(c.value,10); var sc=av*seats; if(av>tokFrom){sc=sc+(av-tokFrom)*tok;} var pack=0; var hit=null; for(var i=0;rows.length>i;i++){ var m=parseInt(rows[i].getAttribute('data-min'),10); if(m>=cv){pack=parseInt(rows[i].getAttribute('data-eur'),10);hit=rows[i];break;} } if(!hit){return;} for(var j=0;rows.length>j;j++){ rows[j].className=(' '+rows[j].className+' ').replace(' gene-hit ',' ').replace(\/^\\s+|\\s+$\/g,''); } hit.className=hit.className+' gene-hit'; var gap=sc-pack; sEl.textContent=fmt(sc)+cur; pEl.textContent=fmt(pack)+cur; if(gap>0){gEl.textContent='+'+fmt(gap)+cur;} else{gEl.textContent=fmt(gap)+cur;} laEl.textContent=a.getAttribute('data-l'); lcEl.textContent=c.getAttribute('data-l'); lsEl.textContent=fmt(sc)+cur; lpEl.textContent=fmt(pack)+cur; var idx=0; if(av>tokFrom){idx=3;} else if(sc>=pack*2){idx=0;} else if(pack>=sc*1.5){idx=1;} else{idx=2;} show(idx); } for(var k=0;aIn.length>k;k++){aIn[k].addEventListener('change',calc);} for(var l=0;cIn.length>l;l++){cIn[l].addEventListener('change',calc);} calc(); })();<\/script><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In short: \u201cgenesys chatbot\u201d refers to the chatbots of Genesys, an American contact center software vendor: \u201cnative bots\u201d included in its Genesys Cloud CX plans, plus AI \u201cvirtual agents\u201d activated with tokens. The public grids captured on August 31, 2026 run from $75 to $240 per user per month (annual commitment, USD view), and from [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":31481,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[362],"tags":[],"class_list":["post-31496","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-chatbot-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/botnation.ai\/en\/wp-json\/wp\/v2\/posts\/31496","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/botnation.ai\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/botnation.ai\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/botnation.ai\/en\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/botnation.ai\/en\/wp-json\/wp\/v2\/comments?post=31496"}],"version-history":[{"count":1,"href":"https:\/\/botnation.ai\/en\/wp-json\/wp\/v2\/posts\/31496\/revisions"}],"predecessor-version":[{"id":31497,"href":"https:\/\/botnation.ai\/en\/wp-json\/wp\/v2\/posts\/31496\/revisions\/31497"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/botnation.ai\/en\/wp-json\/wp\/v2\/media\/31481"}],"wp:attachment":[{"href":"https:\/\/botnation.ai\/en\/wp-json\/wp\/v2\/media?parent=31496"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/botnation.ai\/en\/wp-json\/wp\/v2\/categories?post=31496"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/botnation.ai\/en\/wp-json\/wp\/v2\/tags?post=31496"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}