When buyers ask AI for a recommendation, does your brand come up?
ChatGPT, Claude, Gemini and Perplexity have become the first place people
research providers. This audit measures – precisely, not by guesswork –
whether those models mention, cite and recommend your brand, and where you
stand against your competitors.
01What the audit answers
Presence rate
How often each model mentions you, unprompted, across real buyer questions.
Share of voice
Your slice of the conversation against a defined set of competitors.
Position
First recommendation, buried at the end, or not mentioned at all.
Locale effect
How the answer shifts when the user sits in one market versus another.
Where you win
The topics and use cases that already work in your favour – worth defending.
What to fix
A prioritized action plan, from quick wins to longer-term moves.
02How it works
A controlled measurement, not a sample.
Four AI models, a structured query matrix built from your industry, topics
and buyer intent, real location signals for each market, and repeated runs
to separate signal from noise.
You receive an executive report with findings, recommendations,
plus the baseline – so the next audit can be compared
directly to this one.
03Ways to run it
Single market
One market, four models, normally around fifty queries. A focused baseline.
Cross-market
Three markets in one study – the full competitive and locale picture.
Quarterly monitoring
A repeat measurement per quarter, to track whether your actions move the needle.
Scope – number of markets, queries and competitors – is agreed before we
start, and pricing follows from it.
04A real example
A full sample audit is available on request.