Search has expanded to AI. The brands it recommends win the customer.

AI Visibility Audit

An AI visibility audit shows you exactly how often ChatGPT, Claude, Gemini, and Perplexity recommend your brand, which competitors they name instead, and what's driving the gap. You get a scored baseline across every high-intent prompt in your category and a prioritized list of what to fix first.

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The Visibility Scorecard

Mention rate on every model, scored against competitors

Visibility score

5 models

ChatGPT

44%

Gemini

67%

Perplexity

31%

The Gap Report

Why you're not appearing, and what's ranking instead

Gap report

Ramp

Named in 61%

Their edge

G2 reviews

Your fix

Comparison page

Mention rate

How often each model names you, measured across every high-intent prompt in your category.

Share of voice

Your mention rate against the three or four competitors the models reach for most.

Sentiment

What the model says about you when it does mention you, and whether that helps or hurts.

Source gap

Which sites the models cite to build answers in your category, and which of those never mention you.

We build the prompt set

Every question in your category that a buyer would plausibly ask a model, pulled from your sales calls, support tickets, and the forums where your category gets discussed. Typically 40 to 200 prompts depending on how wide your use case runs.

Then we run it across all four models

Each prompt goes through ChatGPT, Claude, Gemini, and Perplexity multiple times, since answers vary run to run. We log every brand mentioned, the position it appeared in, the sentiment attached to it, and every URL the model cited.

Finally, we score the gap and rank the fixes

You get a mention rate per model, a share-of-voice number against your named competitors, and a ranked list of what's causing the gap. Usually it's a mix of missing content, weak third-party presence, and sources that cite everyone but you.

Every model your buyers use

What is an AI visibility audit?

An AI visibility audit measures how often large language models recommend your brand when buyers ask purchase-related questions in your category. It covers ChatGPT, Claude, Gemini, and Perplexity, and produces a mention rate per model, a share-of-voice comparison against your competitors, and an explanation of what's driving the gap.

How is this different from an SEO audit?

An SEO audit measures how you rank on a page of blue links. An AI visibility audit measures whether you get named in an answer. Different mechanics: there's no position one, a model either mentions you or it doesn't, and what drives that is your presence across the sources the model cites rather than your own page's ranking. A site can rank well on Google and be invisible in AI answers.

How long does the audit take?

Two weeks from kickoff. Most of that is running the prompt set across four models with enough repetitions to get a stable mention rate, since model answers vary between runs.

What do I actually receive?

A scorecard with your mention rate per model and share of voice against your named competitors, a gap report explaining what's causing each shortfall, and a ranked list of fixes with effort and expected impact on each.

How accurate can this be if AI answers change every time?

They do vary, which is why a single test tells you nothing. We run each prompt multiple times per model and report the rate rather than a single result. A brand mentioned in 3 of 20 runs has a real 15% mention rate, and that number is stable enough to track over time and act on.

Do I need an audit before working with you on anything else?

Yes, and not for sales reasons. Without a baseline there's no way to tell whether anything you do afterward worked. The audit is what every later change gets measured against.

How much does an AI visibility audit cost?

Pricing depends on category breadth and how many competitors you want benchmarked against. Book a call and we'll scope it on the spot.