Free AI Visibility Audit

See exactly where your brand stands in AI.

Buyers are asking ChatGPT, Gemini, Perplexity and Claude what to buy. Get a free audit of how often your brand shows up in those answers — and where the gaps are.

  • Coverage across four AI engines
  • Sentiment and competitor benchmarks
  • The citation gaps to close first
Request your free audit

No cost, no pitch. You get coverage, sentiment and citation gaps across four AI engines.

What the audit covers

Three reads. One clear picture.

Query coverage

How many of your category's real buying questions actually surface your brand inside each AI engine — with competitor benchmarks.

Sentiment read

When the engines do mention you, are they positive, neutral, or steering buyers elsewhere? Measured per engine.

Citation gaps

The publishers, reviews and sources feeding the answers in your category — and the ones you need to earn to shift them.

How it works

From request to report in 48 hours.

01

Share a few details

Your name, email and phone. We'll follow up to confirm your category and a handful of high-intent buying queries.

02

We scan four engines

We run structured prompts across ChatGPT, Gemini, Perplexity and Claude — every surface, every citation.

03

You get the report

Within 48 hours: coverage, sentiment, citation gaps, and a prioritised view of where to start.

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Frequently asked

The free audit, answered.

Is the AI visibility audit really free?

Yes. The initial audit is free and comes with no obligation. It's how most engagements start — you see the data first, then decide whether you want help acting on it.

What do I need to provide?

Just your name, email and phone to start. We'll then confirm your category and a short list of the buying questions your customers ask AI, which we use to run the scan.

How long does it take?

You'll hear from us within 24 business hours, and the full report lands within 48 hours of confirming your queries.

Which AI engines do you check?

ChatGPT, Gemini, Perplexity and Claude — measured separately, because each one cites and recommends content differently.