Brand visibility across AI & search
800 million people ask AI first. See what it says about your brand.
When someone asks ChatGPT, Google or Perplexity about your category, a handful of brands get named and cited — and the rest are invisible. Nostimates is the central place to see how your brand, product or service is perceived and displayed across AI answers and search, measured against your competitors so you know exactly where you stand.
Visibility
618
Share of AI answers
Rank
#2
of 6 you track
Engines
12
All regions
Visibility trend
trending upWhere you're tracked
A live view of your share of AI answers — or pull the same numbers into your own tools.
Why now
Search is splitting in two, and half of it is invisible to you
For twenty years, being found meant ranking on Google. Now a fast-growing share of questions never produce a list of links at all — ChatGPT, Google's AI Overviews, Perplexity and Copilot answer directly, naming a few brands and citing a few sources. Classic search (SEO) and AI answers (AEO/GEO) are now two different games that decide whether people find you. Most brands can measure the first and are completely blind to the second.
What you get
Perspective, not a screenshot
Knowing you're mentioned isn't enough. You need to know what's being said, how often, and how it stacks up against everyone you compete with.
How you're described, not just whether you rank
See the claims AI engines attribute to your brand, taken from the answer text itself — the strengths they repeat, the gaps they leave out, and the framing your buyers actually read before they ever reach your site.
Measured against your competitors
Ask the same questions for every brand in your set and you get a clean scoreboard: who gets named, who gets cited, and where you're winning or losing share of the answer. The conversation stops being a hunch and becomes a number.
The engines others can't see
If you sell in China or Korea, Western tools measure none of the engines your buyers actually use. DeepSeek, Qwen, Doubao, Kimi, Baidu ERNIE and Naver sit in the same view as ChatGPT and Google — so your global picture is actually global.
Coverage
Twelve engines, three regions, one view
They aren't variations of one thing. Each names and cites brands differently, so each is tracked separately — and rolled up into a single picture of how you show up everywhere your audience asks.
Google AI Overviews
GlobalThe AI summary box above the blue links. Nobody asked for it; everybody sees it.
google_ai_overviews
Google AI Mode
GlobalA separate tab the user deliberately clicks. No blue links at all.
google_ai_mode
ChatGPT
GlobalThe logged-out web surface, which returns citations. We never log in.
chatgpt
Perplexity
GlobalThe cleanest parse in the set — citations are structural, not bolted on.
perplexity
Microsoft Copilot
GlobalWorks logged-out, detection is softer than the others.
copilot
Gemini app
GlobalRequires login, which makes it structurally different and materially more expensive.
gemini
DeepSeek
ChinaGated behind an account, trained on a different web, cited by different rules.
deepseek
Qwen
ChinaAccount-gated, deeply wired into Alibaba's commerce and cloud surfaces.
qwen
Doubao
ChinaPulls from Douyin, Toutiao and Xigua. A different web entirely.
doubao
Kimi
ChinaThe long-context one — where B2B whitepapers actually get read.
kimi
Baidu ERNIE
ChinaCloser to AI Overviews than to a chatbot now.
baidu_ernie
Naver
KoreaSearchable logged-out, and the easiest Asian surface to ship.
naver
Two ways to use it
A dashboard your team logs into
For marketing, brand and comms teams who want the answer, not the plumbing. Track your visibility over time, benchmark against competitors, and get told when the picture changes — no engineering required.
For brand & marketing teams →Two ways to use it
Or the data, straight into your systems
For teams and agencies that want to own the data. Pull the same measurements into your own reporting, warehouse or client dashboards. White-label by default — your brand on top, ours nowhere.
For agencies & data teams →Why you can trust the number
Ask an AI the same question twice and you'll often get two different answers.
So a single screenshot proves nothing. We ask many times, across the real interfaces your audience sees, and report the pattern — a trend you can put in front of a sceptical executive and defend, not a lucky reading that flips next week.
How we measure →Why teams trust the numbers
We'd rather be checkable than impressive
We're early, so we're not going to paper the page with logos. Instead, here is every commitment we make about the numbers — each one you can check yourself, without a sales call.
We catch drift before you do
Every engine is re-checked on a 15-minute cadence with known-answer probes. When an engine changes and a number starts looking wrong, we catch it and flag it — before it reaches your dashboard or a client report.
One reading isn't a measurement
Ask an AI the same question twice and you'll often get two different answers. So we ask many times and report the pattern, with a confidence level shown next to every number — something you can defend to an executive, not a lucky screenshot.
A failed check is never a zero
A blocked page or a login wall is reported as a failed collection — never silently counted as 'brand not mentioned'. A missed reading and a real absence are different things, and we keep them different.
White-label by default
Nothing we hand back names us — not the dashboard your clients log into, not the data you pull into your own reports. Brands, in-house teams and agencies all present the same numbers as their own.
Verify us before you pay
Ask the engine yourself
Open the engine, ask the question, and compare it to what we recorded for that moment. We measure the same interface you just used, so it should line up.
Ask again and watch it hold
Check the same question a week later. A real number drifts a little; noise swings wildly. Ours is built to be the former — and if it isn't, we'll say so.
Read how we measure before you buy
How we measure, what it costs, and where it can fall short are all documented in the open — not behind a sales call.
“We were still ranking on our head terms, so classic rank tracking said we were fine. AI Overviews told a different story — a competitor was getting cited on our biggest queries while we were barely in the answer. Putting citation share next to rank in the same report is what finally moved the exec conversation from screenshots to a number.”
“We pitch with Nostimates data now — the prospect's brand and three competitors across six engines, pulled before the meeting. It turns the conversation from 'we think AI visibility matters' into 'here's the gap you're losing.' The white-label part matters just as much: our brand on the dashboard, our logo on the client report, no attribution anywhere.”
“Set it up in an afternoon, no engineers involved. The part nothing else covered was APAC — DeepSeek and Naver showed us things no Western tool measures at all. What sold our team on it is that every number traces back to a saved answer, so when someone challenges a figure, we open the evidence instead of arguing.”
Get started
See how your brand shows up
Tell us your brand and who you compete with. We'll come back with a read on how the AI engines and search surfaces describe you today — and a plan to track it. One reply from a human, no demo theatre.