Discover how an AI agent learns from your website content, finds relevant information, and answers customer questions using approved sources. Explore how website crawling, embeddings, and source-grounded AI work together, and learn how to improve your content and keep your AI agent accurate as your website evolves.
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To train an AI agent on your website, the platform reads your pages, breaks the text into searchable pieces, and stores them so the agent can find the right passage when a customer asks a question. It then writes the answer from that passage instead of relying on guesswork.
Your website already holds most of what customers ask about: services, prices, policies, opening hours, and contact details. When you train an AI agent on your website, you give it exactly the information you want customers to see, in your own words, so the answers match what you publish.
You enter your website URL. The platform visits your working pages and collects their text. OrhanAI starts this in the background as soon as you create the draft, so you can see progress while it runs.
For more information about how website crawlers work, see Google's documentation on robots.txt.
Menus, footers, and repeated elements add noise. The text is cleaned and divided into smaller passages, so each piece covers one idea, such as a return policy or a service description.
Each passage is converted into a numeric representation of its meaning, called an embedding. This allows the agent to match a customer's question to the right passage by meaning, not only by shared words. A customer who asks about getting their money back can still reach your refund policy.
Learn more about how text embeddings work.
When a visitor asks something, the system searches the stored passages and picks the most relevant ones.
This process is also explained in Google's guide to retrieval-augmented generation (RAG).
The agent composes a reply using those passages. This is the idea behind source-grounded AI: the answer is tied to your approved content, and source references stay available for review. If no relevant passage exists, the agent uses fallback wording instead of inventing an answer.
For a technical overview, see OpenAI's guide to retrieval and semantic search.
1. Review the draft. Confirm what the agent understood about your business.
2. Test real questions. Use the Playground to try the questions customers actually ask, including awkward ones.
3. Check the sources. Make sure the answers come from the right pages.
4. Fill the gaps. Add missing information to your website or as an extra training source.
5. Publish. Add the embed script to your approved domain.
Write clear pages with one topic each, for example one page per service.
Publish an FAQ page that answers common questions in plain sentences.
Keep prices, hours, and policies up to date, and state them in text rather than only inside images.
Put your contact details, location, and booking information where they are easy to find.
Use descriptive headings, because they help the system split and match content correctly.
A website-trained agent only knows what is on the pages it can read. It will not learn from content behind a login, from information that exists only in your team's heads, or from pages that block crawlers. Add those as separate training sources, or publish the information on your site.
Websites change. When you update prices, add services, or revise policies, run the crawl again so the agent learns the new content. Review the list of unanswered questions regularly, because each one points to something your content does not explain yet.
Orhan AI builds a first draft in minutes. The larger the site, the longer the crawl takes, and you should leave time to review and test the answers before you publish.
No. A no-code AI agent learns from the pages you already have, and you can add extra sources when needed.
A well-built agent answers from approved sources and uses a controlled fallback when it lacks the information. Testing before launch confirms this for your own content.
Re-crawl the site so the agent picks up the changes.
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An AI agent for business answers customer questions, captures and qualifies leads, and provides 24/7 support. Discover how AI agents work, explore business use cases, and learn how OrhanAI helps automate repetitive tasks, improve customer experiences, and support website conversations with a no-code AI agent.
