ChatGPT visibility audit

See whether ChatGPT-style search has enough context to recommend you.

AI recommendations depend on clear entities, answers, proof, and structured context. This teardown shows what your public website gives AI and what it leaves ambiguous.

What the teardown checks

Clear entity and business description

Service pages that answer customer intent

Location and market relevance

Trust proof that appears near the offer

Structured data and crawler basics

Common blockers

AI search needs clearer answers than traditional web pages give.

The scanner is a first pass. The 48-hour teardown turns that scan into a practical fix plan for the pages most likely to move.

The business entity is vague

AI needs to confidently understand what the business is, where it operates, and which searches it should match.

Important answers are implied

If the site hints at answers but does not state them directly, AI search has less useful content to summarize.

Proof is disconnected from claims

Reviews, credentials, and experience are more useful when they support the same service claims the page is making.

Use cases

Built for practical audits, not dashboard theater.

Check a local service website before investing in content.

Find the first page to improve for AI search clarity.

Give agencies a sales-call audit asset.

Validate whether FAQ and schema work is worth doing.

Free scanner

Find the first AI visibility gaps before you buy anything.

Run free scan