How to Chat With a Website Using AI: A Step-by-Step Guide
Chatting with a website means asking a web page questions instead of skim-reading it for the one line you need. Here's how it works and how to get answers you can trust.
What does it mean to chat with a website?
To chat with a website, a tool reads the page's content and lets you ask about it in plain language — “What does this article conclude?” or “Does this page mention a refund policy?” — instead of you scanning a long article or documentation page for one detail. The answer comes back grounded in what the page actually says, with a pointer back to the source.
Under the hood it works the same way as chatting with a document: the page is fetched, split into chunks, each chunk is embedded, and your question retrieves the most relevant ones before a language model writes an answer from them. We cover the general mechanism in our RAG explainer; for a website the only difference is that the text comes straight from the live page instead of an uploaded file.
Step by step: chat with a website
- Pick a tool that accepts a URL as a source, not just file uploads.
- Paste the link and wait while it fetches and indexes the page — a few seconds, the same as uploading a file.
- Ask a broad question first, like “Summarize this page,” to get your bearings.
- Follow up with specific questions — a definition, a figure, a claim you want to verify.
- Add a second or third page to the same project to compare what different sources say about the same topic.
Why some pages don't work
Chatting with a website depends on the page being publicly reachable, so it works for most articles, docs and reports — but not pages behind a login, a paywall, or aggressive bot protection. A good tool will tell you clearly when it can't fetch a page instead of silently answering from a cached title and description. That distinction matters before you rely on the answer for anything important.
Mix web pages with your other sources
The real value shows up once a page sits alongside your other material: chat with a website in the same project as a PDF or a YouTube video, and one question can pull from all of them at once. That's useful for research that spans a report, an article critiquing it, and a talk about the same subject — see how an AI research assistant handles multiple sources for more on that workflow.
Try it with your own link
Doxy lets you chat with a website the same way you'd chat with a document: paste the URL, wait for it to index, and start asking. Mix web pages with PDFs, slides and videos in one project, and every answer stays grounded in what was actually on the page — no copy-pasting text into a chat box.
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