How to Add an AI Agent to Your Website (Step-by-Step Guide)
Adding an AI agent to your website used to require an engineering team, weeks of development, and significant budget. In 2026, you can deploy a fully functional autonomous AI agent in under 10 minutes with no code required. This guide walks you through every step.
What you'll need
- • A BolChat account (free to start — get access here)
- • Your FAQs, help docs, or product pages (in any format — PDF, URL, or text)
- • Access to your website's code or CMS (to paste one script tag)
Step 1 — Connect your knowledge base
Your AI agent's quality depends entirely on the quality of the information it has access to. The first step is connecting your knowledge base — the private repository of information BolChat will use to answer customer queries.
BolChat supports multiple input formats:
- PDF files — product manuals, FAQs, onboarding guides
- Website URLs — BolChat scrapes your site automatically
- Plain text — paste your FAQs directly
- Notion pages, Google Docs, and more via integrations
BolChat processes your content using RAG (Retrieval-Augmented Generation) — building a private vector index that the AI queries in real-time when answering questions. Your data is encrypted and never used to train public models.
Step 2 — Configure your AI agent persona
Once your knowledge base is connected, configure your agent's behavior in the dashboard. Key settings include:
- Agent name and persona — Give your agent a name and define its personality — professional, friendly, formal, or casual.
- Brand voice instructions — Write a brief system prompt: 'Always respond in a helpful, concise tone. Never discuss competitor pricing.'
- Language settings — Choose your primary language and enable auto-detection for 50+ additional languages.
- Escalation triggers — Define when the agent should escalate — e.g., when sentiment is negative, when the query is about billing, or when the user explicitly requests a human.
- Lead capture rules — Set when to capture visitor contact details — e.g., after 2 messages, or when the visitor asks about pricing.
Step 3 — Customize the chat widget
Your chat widget is the customer-facing interface. BolChat gives you full control over its appearance — no designer required.
- Brand colors and accent colors
- Widget position (bottom-right, bottom-left, custom)
- Launcher button style and icon
- Welcome message and initial prompts
- Mobile-responsive behavior
Step 4 — Embed on your website
Once configured, BolChat generates a single script tag. Paste it into your website before the closing </body> tag:
<script
src="https://cdn.bolchat.tech/widget.js"
data-key="YOUR_AGENT_KEY"
defer>
</script>
Platform-specific instructions:
- Next.js:Add as a <Script> component in your root layout.tsx with strategy='afterInteractive'
- WordPress:Paste in Appearance → Theme Editor → footer.php, or use a header/footer plugin
- Webflow:Project Settings → Custom Code → Footer Code
- Shopify:Online Store → Themes → Edit Code → theme.liquid before </body>
- Framer:Site Settings → General → Custom Code → End of <body>
Step 5 — Test and go live
Before going live, test your agent on a staging environment. Ask it your 10 most common customer questions and verify the answers are accurate, on-brand, and in the correct language. Check escalation behaviour by asking a question outside your knowledge base.
Once satisfied, publish to production. Your AI agent is now live — resolving customer queries, capturing leads, and escalating to your team 24/7.
Ready to deploy?
Get BolChat on your website today
Free to start. Live in under 10 minutes. Resolves queries in 50+ languages autonomously.
Common mistakes to avoid
- —Don't connect a thin knowledge base — the more context you give, the better the answers
- —Don't skip testing in staging — verify escalation triggers before going live
- —Don't forget to set a fallback message for out-of-scope queries
- —Don't ignore analytics — check resolution rates weekly in the first month
Start for free in under 10 minutes
Book a demo and we'll walk through the setup live — configured for your specific website and use case.