What is BeSeenByAI and how does it work?

BeSeenByAI checks whether your web pages are accessible, readable, and trustworthy enough for AI systems to use. Here is how it works.

The problem it solves

Most visibility tools focus on how well your page ranks for human search. AI systems — including ChatGPT, Perplexity, Claude, Google’s AI Overviews, and others — retrieve content differently. They crawl pages using their own bots, fetch the raw HTML response, and assess whether the content is accessible, readable, and structured well enough to use in an answer.

A page can rank well in traditional search and still be effectively invisible to AI retrieval because of a slow server response, JavaScript-only content that never reaches the raw HTML, a robots.txt rule that blocks AI crawlers, or weak structured data that makes the page hard to attribute.

BeSeenByAI checks the signals that actually matter for AI retrieval: whether bots can reach the page, whether the content is in the initial HTML response, whether the structure supports being quoted and attributed, and whether the server responds fast enough.

What gets checked

Every audit runs across five dimensions:

Crawlability — Can the major AI bots access this page? This includes checking robots.txt rules, live fetch results for real bot user agents, and HTTP status codes. If a bot is blocked here, nothing else matters yet.

Content Visibility — Is the important content present in the raw HTML response, or does it only appear after JavaScript runs? Many AI systems work from the initial response, not from a browser-rendered version.

Authority — Does the page give AI systems enough context to understand what it is, who it belongs to, and whether it can be cited? This includes structured data (JSON-LD), page-type classification, authorship signals, and metadata completeness.

Performance — How fast does the server respond? TTFB (time to first byte) is the most critical metric for AI retrieval. Pages that respond slowly are harder to include reliably in retrieval pipelines.

Reverse Prompting and Prompt Fit — These deeper analysis features are available in the platform. Reverse Prompting estimates which questions the page already looks suited to answer. Prompt Fit tests whether the page can answer one specific question clearly enough to fit into an AI-generated response.

How an audit works

  1. You enter a URL.
  2. BeSeenByAI fetches the page using real AI crawler user agents — GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and others — to check actual access and what content arrives in the response.
  3. It queries real-world performance data from the Chrome UX Report (CrUX) where available, and runs lab-based performance checks for pages without field data.
  4. It parses the HTML response for structured data, metadata, heading structure, and other authority signals.
  5. Results are compiled into a single report with an AI Visibility Score and a breakdown across all five dimensions.

Results reflect the state of the page at the time the audit ran. Run a new audit after making changes to see the impact.

Who it is for

BeSeenByAI is for website owners, marketers, SEOs, and developers who want to understand why their pages may not be appearing in AI-generated answers — and what to fix to improve their chances.

The free audit tool runs a full check on any public URL without requiring an account. The platform at app.beseenby.ai adds project organisation, monitoring over time, batch auditing across many URLs at once, and deeper analysis with Reverse Prompting and Prompt Fit.