LLM visibility checker: does ChatGPT, Gemini, Perplexity or Google's AI Overview recommend your brand?
- Built for
- Brands, agencies and local businesses (clinics, firms, spas, home services) that want to know whether AI assistants recommend them, and agencies that report it to clients.
- You enter
- Your brand, its category in buyer words and a competitor. Up to three more competitors, a city for a local business and your website are optional.
- Price
- Free plan: 100 credits, no card. One analysis uses about 55–68 credits.
- What you get
- Coverage (answers returned per engine), a mention share table for your brand, your competitors and every brand named in at least 3 category answers (per engine and overall, average position, times named first), the best value and “alternatives to” answers, how each engine judges you against your competitor and whether you are worth it, the most cited domains and whether your own site is cited, and 3 to 5 gaps, each with an action.
- Coverage
- ChatGPT (with web search), Gemini, Perplexity (Sonar) and Google's AI Overview, asked from the United States, logged out. 8 fixed questions, each asked once per engine: 32 answers per run. Google shows no AI Overview for some searches; those count as “no AI Overview shown”. Claude, Copilot, Meta AI and Grok are not included.
- Time to report
- Usually 17–33 minutes.
- Account
- Sign-in with Google required to run it. You can read the example and fill in the form without an account.
How do you check your LLM visibility?
Ask ChatGPT, Gemini, Perplexity and Google's AI Overview the questions buyers ask, then count which brands each answer names, in what order, and which sites it cites. In a check on November 10, 2026, Brooklinen was named in 16 of 18 category answers about bed sheets and named first in 8, but only 2 of 4 engines named it when asked for the best value brand, and none of the 6 AI Overviews cited brooklinen.com.
An AI search audit you can run every week. Enter your brand, what it is and your competitors. Nolyn asks ChatGPT, Gemini, Perplexity and Google's AI Overview the same 8 buyer questions (“best X”, “top X brands”, “best value”, “best reviews”, “you vs them”, “is it worth it”, “alternatives to them”) and counts which brands each answer names, in what order, and which sites it cites. You get your mention share per engine, the head-to-head verdicts, the sources the engines lean on, and 3 to 5 gaps with what to do about each. Ask Nolyn to repeat it every week and it becomes a weekly scheduled task that tracks your brand mentions in ChatGPT and the others.
- Brooklinen named
- 16 of 18 category answers
- Asked for the best value brand
- 2 of 4 engines named Brooklinen
- brooklinen.com cited
- 8 of 29 answers
- Answers returned
- 29 of 32
Key findings
- Called the value pick, missing from half the value answers
- First on ChatGPT and Perplexity, rarely first elsewhere
The report includes
- Coverage first
- Mention share by engine
- The questions that decide a sale
- Sources the engines cite
- 3 to 5 gaps, each with an action
- A weekly monitor
Want to change what the engines say, not just measure it? Readhow to show up in ChatGPT
What you get
Coverage first
Mention share by engine
The questions that decide a sale
Sources the engines cite
3 to 5 gaps, each with an action
A weekly monitor
AI visibility check example: Brooklinen bed sheets, with Parachute
A real run on November 10, 2026, for Brooklinen, the bedding brand, with Parachute as the main competitor and Boll & Branch and Cozy Earth added. None of them is a Nolyn customer. Each of the 8 questions went once to ChatGPT, Gemini, Perplexity and Google's AI Overview from the United States; 29 of the 32 answers came back. The table counts the 5 category questions (best, top brands, best value, best reviews, which to recommend): in how many answers each brand is named, per engine.
Brooklinen named
16 of 18 category answers
Named first in 8: ChatGPT 3 of 4, Perplexity 3 of 5, Gemini 1 of 5, AI Overview 1 of 4
Asked for the best value brand
2 of 4 engines named Brooklinen
ChatGPT 5th of 5 brands, Gemini 3rd of 4; Quince and Threshold were named by all 4
brooklinen.com cited
8 of 29 answers
ChatGPT 5 of 7, Gemini 2 of 8, Perplexity 1 of 8, AI Overview 0 of 6
Answers returned
29 of 32
No AI Overview shown for questions 7 and 8; one ChatGPT answer timed out
| Brand | ChatGPT | Gemini | Perplexity | AI Overview | Named in (category answers) | Named first |
|---|---|---|---|---|---|---|
| Brooklinen | 4 of 4 | 5 of 5 | 4 of 5 | 3 of 4 | 16 of 18 (88.9%) | 8 |
| Quince | 3 of 4 | 5 of 5 | 3 of 5 | 3 of 4 | 14 of 18 (77.8%) | 3 |
| Boll & Branch | 1 of 4 | 4 of 5 | 1 of 5 | 3 of 4 | 9 of 18 (50.0%) | 0 |
| L.L.Bean | 4 of 4 | 1 of 5 | 3 of 5 | 1 of 4 | 9 of 18 (50.0%) | 1 |
| Cozy Earth | 1 of 4 | 4 of 5 | 2 of 5 | 1 of 4 | 8 of 18 (44.4%) | 3 |
| Threshold (Target) | 1 of 4 | 4 of 5 | 1 of 5 | 1 of 4 | 7 of 18 (38.9%) | 1 |
| California Design Den | 2 of 4 | 0 of 5 | 4 of 5 | 0 of 4 | 6 of 18 (33.3%) | 1 |
| Saatva | 0 of 4 | 1 of 5 | 4 of 5 | 1 of 4 | 6 of 18 (33.3%) | 1 |
| Mellanni | 0 of 4 | 2 of 5 | 2 of 5 | 2 of 4 | 6 of 18 (33.3%) | 0 |
| Parachute | 0 of 4 | 3 of 5 | 0 of 5 | 1 of 4 | 4 of 18 (22.2%) | 0 |
Category answers returned per engine: ChatGPT 4 (one timed out), Gemini 5, Perplexity 5, AI Overview 4 (no overview for “Which bed sheets brand would you recommend and why?”). A brand counts as named when its name appears in the answer text; source cards at the end of an AI Overview are not counted. “Named first” = first brand in the answer. Brands named in at least 6 of the 18 answers, plus Parachute.
Called the value pick, missing from half the value answers
First on ChatGPT and Perplexity, rarely first elsewhere
Its own site is cited by ChatGPT, not by Google
“Worth it” means “on sale”
We recounted every answer in code from the saved responses and checked the run's own report against it; the page uses our recount. The run cost 57 credits: 39 for the 32 lookups (ChatGPT, Gemini and Google AI Overview 1 credit each, Perplexity 2) and 18 for the analysis. An hour earlier, a run of an earlier version of the brief asked the same 8 questions: Gemini then named Brooklinen in 3 of its 5 category answers instead of 5, Cozy Earth was named in 11 of 19 category answers instead of 8 of 18, and Google showed no AI Overview for questions 4 and 7 instead of 7 and 8. That run also showed that Google AI Overview replies end with source cards quoting the cited pages, which the brief now tells Nolyn not to count. AI answers vary from run to run; treat one run as a sample.
How it works
Enter your brand and a competitor
Type your brand, what it is in the words buyers use (“bed sheets”, “CRM software”, “med spas”) and your main competitor. Add more competitors, a city or your website if you like.
Nolyn asks 4 engines 8 questions
The same 8 buyer questions go to ChatGPT, Gemini, Perplexity and Google's AI Overview, each once, from the United States: 32 answers.
It counts names and sources
Every brand named in each answer, in order, and every domain each answer cites. Shares and averages are calculated from those counts, never estimated.
Read the gaps, then track them weekly
Start with coverage, then the share table, the best value and head-to-head answers, and the gaps. Ask Nolyn to repeat it weekly to see whether your changes move the answers.
Who uses an AI visibility checker
Brand and marketing teams
SEO and PR agencies
Local businesses
What it cannot do
AI answers change from one run to the next, by location, by account and by the time of day, and each engine is asked each question only once, so a run is a sample, not a ranking; the example shows how much two runs an hour apart can differ. Questions are asked from the United States with no sign-in history, which is not what a logged-in user with memory sees. Google shows no AI Overview for some searches. It covers ChatGPT, Gemini, Perplexity and Google's AI Overview only. It cannot see how many people ask these questions, so it is not search volume or traffic, and it does not tell you why a model prefers a brand beyond the sources it cites. Brand names are counted when they appear in an answer, whether the answer recommends them or not; the report says how each answer describes your brand.
Questions
How often, and how early, AI assistants such as ChatGPT, Gemini and Perplexity name your brand when someone asks for a recommendation in your category, and which sources they rely on. It is measured on answers, not on rankings: in the example, Brooklinen was named in 16 of 18 category answers but first in only 8.
Ask the same buyer questions on a fixed schedule and count the brands each answer names. Run this check once, then ask Nolyn in the same conversation to repeat it every week: it becomes a weekly scheduled task that asks the same 8 questions to ChatGPT, Gemini, Perplexity and Google's AI Overview, so changes in your mentions show up week to week. Each weekly run uses credits like a manual one.
A check of what AI answer engines say about your brand and category: whether you are named, against whom, with what verdict, and which sites the answers cite. This tool runs a small, repeatable one: 8 fixed questions on 4 engines, with every share shown with its count, the sources listed by domain and 3 to 5 gaps with actions.
Yes, as one of the four engines. Google shows an AI Overview for some searches and not others, and that changes too: in the example, 6 of 8 questions had one. A question without an overview is reported as “no AI Overview shown”, which is itself worth tracking week to week.
AI answers are generated fresh, depend on the web results the engine pulls that moment, and differ by location and account. Two runs an hour apart in the example disagreed on several brands: Gemini named Brooklinen in 3 of 5 category answers in one and 5 of 5 in the other. That is why the check asks fixed questions and is best read as a weekly trend, not a single score.
Start from what the answers cite. If an engine leans on a few review lists (Perplexity cited goodhousekeeping.com in 7 of 8 answers in the example), being in those lists matters more than your own blog. Make the claims the answers repeat about you easy to verify on your own pages, and check whether your site is cited at all; the gaps in each report name the lists and claims to work on.
No, the default check asks the engines live. Services that estimate brand mentions across large prompt sets exist (for example DataForSEO's LLM mentions data); Nolyn can query them on request, but each lookup costs about 20 credits and covers fewer engines, so they are not part of this check.
Reading this page and the example is free. Running a check needs a Nolyn account: sign in with Google and new accounts get 100 one-time free credits, no card. The example used 57 credits, so one check fits in the free credits; a weekly check uses credits each week.
Yes. Add your city and the category questions become “best med spas in Austin, TX” and so on. The engines are still asked from the United States without a precise location, so answers can differ from what a phone in your city shows.
Reading this page and the example is free. Running a check needs a Nolyn account: sign in with Google and new accounts get 100 one-time free credits, no card. The example run used 57 credits and about 22 minutes (39 for the 32 answers, 18 for the analysis), so it fits in the free credits; four runs of the brief that day used 55 to 68. A weekly check uses credits each week, the same as a manual run.
To run it, yes: sign in with Google. It is free and asks for no card. You can read the example and fill in the form before signing in.
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