AnswerShelf
Do the machines recommend you?
A ranked read of how often ChatGPT, Claude, Gemini, and Perplexity recommend your brand for buying-intent questions in your category — and exactly which pages earn the mention. Aggregates with sample counts, never a single-shot claim.
$500/ audit · delivered within days
What we check
Six signals, every one grounded.
Small samples render as “insufficient” rather than a shaky percentage — statistical honesty applied to stochastic model output.
Share of voice
What share of high-intent buying questions in your category actually mention your brand.
First-mention rate
Being mentioned isn’t enough — is your brand the first name a model reaches for, or an also-ran.
Recommendation sentiment
When a model mentions you, does it recommend warmly or hedge toward a competitor.
Cited-source domains
The exact pages models cite when they recommend you — the concrete fix list, not generic SEO advice.
Competitor delta
Your share of voice next to your named competitors’, not in isolation.
Week-over-week trend
A longitudinal history a new entrant can’t backfill — the moat is the trendline, not one snapshot.
Sample finding
Not a checklist. An answer.
Illustrative — the format every real finding follows.
critical · share of voice
You appear in 12% of high-intent answers in your category; Competitor X appears in 41%.
Next step: Here are the 6 pages the models cite when they recommend Competitor X — strengthen the equivalent pages on your own site first.
29-point gap to the category leaderRequest your audit
Tell us where to send it.
We’ll build your prompt set and run the first battery within days.