When buyers ask ChatGPT for the best tools in your category, does it name you — or your competitor?
51% of B2B buyers now start research in an AI chatbot, and 69% pick a different vendor after it answers.
— G2, 2026
From $19 · pay per scan · auto-refund if it fails
5 engines · 90–600 live answers per scan · ranges, not fake precision · from $19
Each LLMBrandScan run asks between 90 and 600 real AI questions across up to 5 engines — ChatGPT, Perplexity, Gemini, Grok, and Google's AI answers in Search (AI Overviews) — and reports the observed range instead of one lucky answer.
youtube.com — 188 citations, the top-cited source → earn a mention in a workspace-comparison video
ClickUp holds 20% share of voice, your closest rival → target head-to-head comparison prompts
reddit.com — 77 citations across category threads → join the conversation with a transparent comparison
The report you walk away with.
Real scan — Notion, July 2026 · 180 live answersA real scan we ran on Notion — this is the exact structure you get, not a stripped-down preview.
Share of voice
Wider ranges mean less stable answers — we show you the spread across samples, not a false-precision single number.
3 of 12 prepared prompts · 11 Strong, 1 Noisy overall.
Why now.
Buyers already ask an AI before they ask a salesperson. Here's what's happening in that conversation whether you're watching or not.
51%
of B2B buyers now start vendor research in an AI chatbot instead of a search engine.
— G2, 2026
92.8%
of ChatGPT shopping answers send the buyer nowhere — zero clicks to the open web.
— Profound, 2026
24% vs 11%
Brands buyers ultimately choose show up in roughly 1 of 4 AI answers; passed-over brands, barely 1 of 9.
— Profound, 2026
15.9% vs 1.76%
ChatGPT-referred traffic converts at 15.9% — Google organic search converts at just 1.76%.
— Airfleet, 2026
Built like a brand tracker.
Our three question lenses aren't invented — each one mirrors a construct brand trackers have measured for decades. The AI assistant is the new “mind” we're measuring, not a survey panel.
Unaided recall + mental availability via Category Entry Points — does the brand come to mind before anyone names it?
— Byron Sharp & Jenni Romaniuk, Ehrenberg-Bass
Aided recall — how the model describes the brand once it's named.
— Classic aided / prompted-recall canon
Consideration set — which brands the model puts in the choice frame together.
— Consideration-set theory; Share of Voice, Binet & Field
"Share of AI answers" — the next-generation Share of Search.
— Les Binet, EffWorks 2020
“LLMBrandScan measures the same thing brand trackers have measured for decades — whether your brand comes to mind when a buyer asks about your category — but the ‘mind’ is now the AI assistant your customers ask instead of a survey panel. It's a sample, not a census: we run your category's questions across multiple engines multiple times and show you the range, so you see both where you stand and how stable that standing is.”
A sample, not a census.
— Variance-decomposition analysis of 12,933 AI brand answers, 2026
What you pay for.
Tell us your domain, approve the questions we prepare, and we ask every engine live — every credit buys real model calls, not a subscription seat.
| Depth | Questions | Engines | Samples | Live answers | Credits |
|---|---|---|---|---|---|
| Light | 10 | 3 | 3 | 10×3×3 = 90 | 1 |
| Standard | 25 | 5 | 3 | 25×5×3 = 375 | 3 |
| Deep | 40 | 5 | 3 | 40×5×3 = 600 | 5 |
Deep adds questions, not repeats — phrasing diversity buys ~15× more signal than re-asking the same one. Samples stay 3 everywhere: they detect instability, not average it away.
$49 → 375 live queries across 5 assistants.
That's the real cost of running your questions live on every engine, 3 times each — not a margin we're hiding.
A failed call is 0¢. A fully failed scan refunds itself.
Enforced in the billing code, not a policy page — a dropped or errored engine call is never charged, and if every engine call in a scan fails, the whole scan refunds automatically.
Pay once. No subscription. No dashboard you'll never open.
Every AI-visibility monitoring tool we found charges $29–495 a month, forever, whether you log in or not. We charge once, per scan — from $19.
Starter
$19
1 Light scan
Standard
$49
1 Standard scan (or 3 Lights)
Deep
$99
7 credits = 1 Deep scan (5) + 2 Light re-scans (1 each)
Agency
$290
10 Standard scans
Failed engine calls are never charged — a fully failed scan refunds automatically. That's enforced in the billing code.
Your first scan is the baseline.
“Increase share of voice in AI answers from 14% to 22% by Q3” is how marketing teams already write the OKR. Re-scan monthly, or right after a campaign, to show the board a trend — not a single number.
The Deep pack already bakes this in: one Deep audit plus two Light re-scans, so you can prove movement without buying credits twice.
Who it's for.
Nobody owns AI visibility yet — SEO, brand, and content all get handed the question. Get a defensible number in an afternoon, self-serve — no procurement cycle, no onboarding call.
Is ChatGPT sending your buyers to a rival?
Run the scan before your next board update or fundraise — know your AI shortlist status cold, instead of guessing.
Prove your AI visibility to your CMO.
Sourced numbers and an observed range, not a hunch — a report built to drop straight into a QBR deck.
A per-client deliverable. No seat lock-in.
Buy scans in packs, brand the findings for each client, and skip the monitoring-tool contract neither of you wants.
Query your AI visibility from your own tools.
LiveThe pay-per-call MCP nobody else in the category ships. Plug check_brand_visibility straight into Claude, Cursor, or your own agent — no subscription, no seat required.
Questions, answered honestly.
Which AI engines do you check?
Five: ChatGPT (via API — more on that below), Perplexity Sonar, Google Gemini, Grok, and Google's AI answers — the AI Overviews box at the top of Google Search. Those are the engines buyers actually use for AI SEO / AEO research today, not just the one your team happens to have open.
Is that the real ChatGPT?
We call OpenAI's API with search grounding enabled — the same model family, without the chat memory or plugins of the consumer app at chatgpt.com. We label every ChatGPT result an “API-grounded proxy” rather than pretend it's identical, because it isn't, and a tool that doesn't say so is being dishonest with you.
How accurate is this?
AI answers are non-deterministic, so we don't trust a single run. We sample each question 3 times and show you the observed range — never a confidence interval or a claim of statistical significance; 3 draws can't support one. Real accuracy comes from coverage: asking across more engines and more phrasings buys roughly 15× more signal than repeating the same question (a published variance study of 12,933 AI brand answers). It's a sample, not a census — an honest read on where you stand today.
Why is there no free scan?
Every scan runs 90 to 600 live paid queries across real AI engines — there's no way to run one without spending real API money. A free tier would mean cached, throttled, or fake results, and we'd rather charge $19 and run it live than pretend otherwise. If a scan fails outright, it refunds automatically — that's our substitute for a free trial.
Is this a subscription?
No. You pay once per scan — packs start at $19 — and get a report plus a fix list. No recurring charge, no seat, no dashboard you're billed for whether you open it or not.
How is this different from AI-visibility monitoring tools?
Monitoring tools sell you a dashboard to check forever. We sell you an honest, one-time answer and a ranked list of what to do next — the diagnostic, not the subscription. If you want another read later — before a launch, a rebrand, a competitor's push — buy another scan then.
What do I actually do with the report?
Every finding ships with a fix: which prompts you're losing, which competitor and source is winning them, and the concrete action to take — earn a review, publish a comparison, get cited on a page the AI engines already trust. Built to hand straight to whoever owns your AI SEO / AEO work, not to sit in a browser tab.
Do I control what it asks?
Yes. We prepare a tailored set of buyer questions from your domain, but nothing runs until you approve it — check the ones to test, edit anything that's off, add your own. You're never trusting a black box with your questions.
What happens if an engine fails?
You're never charged for it. A dropped or errored call to any engine is 0¢, and if every engine call in a scan fails, the whole scan refunds automatically — both enforced in the billing code, not a policy we're just promising.
See where you stand before your next buyer asks the AI.
From $19 · pay per scan · auto-refund if it fails
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