Interactive guide

AI Visibility Playground

See how ChatGPT, Claude, Gemini, and Perplexity decide which brands to mention, cite, and recommend — and try the same scoring logic your own audit uses.

Most founders assume AI visibility is about ranking higher. It is not. It is about being the clearest, most trusted, easiest-to-recommend answer for a given question. This page is the working reference for how each engine behaves and what to change first.

The four engines

How each one decides

Try it yourself

Ask the engines about your category

This runs a real category question against every provider you have configured and reports whether your brand comes back — and who gets named instead.

AI answer engine test

Asks each configured engine for the best tools in your category and checks whether they name you.

Score calculator

Estimate your score by hand

Tick what your site already has. The number recalculates live using the same 20/30/30/20 weighting the real scanner applies.

Tick what your site already has

Estimated score

53

Developing readiness

Same 20/30/30/20 weighting the real scanner uses.

Biggest wins available

  • H1 describes what you doStructural Understanding+3.8
  • Clear category statement ("X is a Y for Z")Structural Understanding+3.8
  • Plain language, low jargonStructural Understanding+3.8
  • FAQ section publishedAnswer Selection+3.8

What to fix first

The order that actually works

Access first — if crawlers cannot fetch you, nothing else counts. Then the category statement, because every downstream signal depends on the engine knowing what you are. Then answer-shaped content. Authority work last, since it takes longest and pays least on a site that still cannot be classified.

The full sequence

Related guides

Your competitors are already being recommended. Catch up.

Run the audit. Decide after. Understand why AI engines recommend competitors instead of you. Free, in about two minutes. No card, no signup, no obligation.

Or browse the sample audit first