Score the credibility signals AI weighs before recommending you

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

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

What does E-E-A-T stand for?+

Experience, Expertise, Authoritativeness and Trust — the credibility signals AI weighs.

Do I get specific fixes?+

Yes — each weak signal comes with a concrete, prioritized action.

Is this the same as Google's E-E-A-T?+

It's the same underlying concept — credibility signals — applied to how AI engines evaluate who to recommend.

How long until my score improves after a fix?+

It depends on how quickly engines re-crawl and re-index the change; re-scoring reflects it once they do.

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