How AI reads your site

See what your website teaches AI about your product

Find conflicting, outdated, or unsupported claims before they become inaccurate answers in ChatGPT, Perplexity, and Gemini.

Kelsey Site Analysis showing extracted product claims, conflict and confirm statuses, and pages that need review

Product claims audit

Catch the facts AI will learn from your site

Site Analysis crawls your pages, extracts the top product statements assistants are likely to pick up, and surfaces issues that need a human review before AI Search trusts them.

  • Flag conflicting, outdated, unverified, or unclear claims
  • See every source page behind a claim so your team can fix the right URL
  • Spot missing claims competitors already teach AI clearly

Issues first

Review what needs attention

Start with conflicts, outdated pricing, missing evidence, and unclear statements—not a wall of every sentence on your site.

All claims

See what AI can learn

Browse every extracted product claim with claim type, source pages, and review status so brand and product stay aligned.

Missing claims

Close competitor gaps

Find capabilities and use cases competitors clearly teach AI that your site never states—then turn those gaps into content work.

How it works

From crawl to clear next steps

  1. 01

    Crawl your site

    Kelsey analyzes up to hundreds of pages from your inventory or a live crawl.

  2. 02

    Extract top claims

    Product statements are pulled the way AI Search tends to read them—pricing, capabilities, positioning, and more.

  3. 03

    Prioritize fixes

    Issues, missing claims, and pages-to-review give your team a concrete list before inaccurate answers spread.

Site Analysis

Fix the product facts AI will repeat about you

Run Site Analysis on your workspace, review flagged claims with source pages, and keep ChatGPT from learning the wrong pricing or capabilities.

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