Is your brand in the AI's shortlist?
When someone asks ChatGPT, Perplexity, or Gemini for the best tools in your category, the model names a few. Is it you — or your competitor?
LLMBrandScan asks the questions your buyers actually ask across five AI engines — sampled for honesty — and shows exactly where you stand and what to fix.
5 engines · 25 buyer questions · 3 samples each · confidence bands, not vanity numbers
Search moved inside the model.
Your buyers stopped scrolling ten blue links. They ask an AI and trust the three names it gives back. That shortlist is the new first page of Google — except you can't see it, can't rank-track it, and don't know who's on it. That's the gap we close.
What you get back
Example — not live dataBuilt from invented numbers, so you can see the shape of the report before you run one.
Share of voice
±6% confidence band
| Prompt | ChatGPT | Perplexity | Gemini | Grok | AI Overviews |
|---|---|---|---|---|---|
| “best expense management software for small teams” | Acme not mentioned | Acme not mentioned | Acme not mentioned | Acme not mentioned | Acme not mentioned |
| “Acme vs Northwind for expense management” | Acme mentioned | Acme mentioned | Acme mentioned | Acme mentioned | Acme not mentioned |
| “top-rated expense management tools in 2026” | Acme not mentioned | Acme not mentioned | Acme not mentioned | Acme not mentioned | Acme mentioned |
3 of 25 sampled prompts shown.
What to fix
- g2.com cites Northwind 8×earn a category review
- you're absent from "best for teams" promptspublish a teams comparison
- Reddit threads cite Rival Labs 5×join the conversation with a transparent comparison
Every number is sampled at least three times and shown with its confidence band. One-run vanity metrics lie; we don't.
Three steps to your standing.
Tell us your brand
Brand, aliases, domains, up to 5 competitors, your category and locale.
We ask the AIs like a buyer would
25 auto-generated questions — general, branded, comparative — across ChatGPT (API-grounded proxy), Perplexity Sonar, Gemini, Grok, and Google AI Overviews. Each one sampled 3+ times.
You get an honest report
Share of voice with confidence bands, who took your slot, the sources the models cite, and a ranked list of what to fix.
Built to be honest, not flattering.
Sampled, not single-shot
LLMs answer differently every time. We run each question 3+ times and report confidence bands.
ChatGPT, labeled for what it is
An API-grounded proxy, not the consumer app. We never pretend otherwise.
Mentions ≠ citations
Being named and being cited are different wins. We track them as separate funnels.
No invented trends
We won't dress a single run up as a trend line.
Pay per scan. No subscription.
One honest scan starts at $19. Agencies run 30 scans for $290.
See where you stand in the answers your buyers trust.
Not ready to run one?
Get occasional launch notes.