Score the credibility signals AI weighs before recommending you

Grades Experience, Expertise, Authoritativeness and Trust, with concrete fixes.

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— Why it matters —

AI engines weigh credibility before they recommend anyone. If your Experience, Expertise, Authoritativeness and Trust signals are weak, you get passed over no matter how good your product is.

What it does

  • Scores each E-E-A-T dimension for your brand
  • Identifies the specific signals you're missing
  • Prioritizes the fixes with the biggest credibility lift
  • Re-scores as you improve

Common ways teams use this

Before a new content push, find out which E-E-A-T pillar is actually holding your visibility back.

Compare your Trust score against a named competitor to see where the credibility gap really is.

Re-run the audit after publishing author bios or case studies to confirm the fix landed.

How it works

1

Assess signals

We evaluate the credibility signals AI looks for.

2

Score each pillar

Get a grade for Experience, Expertise, Authoritativeness and Trust.

3

Fix and re-score

Ship the recommended fixes and watch the score rise.

What makes it different

Turns a fuzzy concept into a concrete, scored checklist tied to what actually moves AI recommendations.

Related features

Frequently asked questions

See how AI talks about your brand

Book a live walkthrough with our team. Track ChatGPT, Claude, Gemini, Perplexity, Grok, Google AI Overviews and Google AI Mode.

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