Back to Blog
SourcesGEO

Source Evidence Makes AI Answers Easier to Trust

Why headings, FAQ schema, HTTP status codes, and extracted page text are useful when auditing AI answers.

Article

Author: LLM Sleuth

Published: Jun 12, 2026

Read time: 3 min read

A citation URL is useful, but it is not enough. You still need to know what was on the page and whether the answer really matched the source.

That is why LLM Sleuth fetches source pages and extracts extra evidence.

Evidence Worth Keeping

The strongest source audit usually starts with four checks:

  • HTTP status: did the page actually load?
  • Headings: what is the page really about?
  • FAQ schema: does the page expose answer-ready structured content?
  • Page text: does the cited claim appear in the source?

Why Fallback Readers Help

Some sites block direct fetches or return partial HTML. Reader fallbacks can often retrieve a cleaner text or markdown view of the same URL. That makes the evidence panel more useful without forcing a manual browser check for every source.

Better AI Visibility Work

For AI visibility and GEO work, the source evidence is often more useful than the answer itself. It shows which pages are easy for AI systems to interpret and which pages are technically present but not answer-ready.