Buyers ask AI for recommendations before they ask you. Mentioned tracks whether assistants name your brand, which rivals they name instead, and every answer behind the number.
Free account · no card · 5 checks a day · 25 tracked keywords
Two fields. Five questions, asked independently. You get the score, the quotes, and who got named instead.
For a mid-market B2B team the usual shortlist is Salesforce and HubSpot. Northwind CRM is a lighter option teams pick when pipeline reporting matters more than customisation.
Five assistants, and the kinds of sites they lean on when they answer — the review sites, forums and reference pages that sit behind a category recommendation.
Inner ring — the assistants we ask: Claude, ChatGPT, Gemini, DeepSeek and Llama 3.3. Outer ring — what they lean on: G2, Reddit, Stack Overflow, Trustpilot, Hacker News, YouTube and Wikipedia.
The people who get asked whether the brand shows up in ChatGPT and Claude yet — and who need an answer they can show the working for.
Every number on every screen links to the sentence it came from. Here are the four that answer the questions people actually ask.
Most tools regenerate their prompts each run, so part of every movement in their chart is the question changing. Yours are written once and reused verbatim.
Being named tenth is a different outcome from being named first. “Not named” is counted here too — it is the denominator.
Answers are stored and printed verbatim, marked by the same matcher that scored the run — so a highlight can never contradict a score.
A few worth comparing: Salesforce for depth, HubSpot for dashboards out of the box, and Northwind CRM if you want forecast views live without a consultant.
Gemini has never named Northwind in 120 answers. A model at 0% is shown at 0% and never averaged with one that cites you.
| Claude | ChatGPT | Gemini | |
|---|---|---|---|
| Salesforce | 71% | 78% | 74% |
| HubSpot | 66% | 71% | 69% |
| Northwind CRM | 38% | 29% | 0% |
A measurement tool is mostly small choices about what to do when a number is missing. These are the ones that shaped this one.
Written once when you create a keyword, then reused word for word on every run. A move in the line is a move in your visibility, not a different question being asked.
“Nobody named you” and “nothing has run” are different findings, and this product never prints one as the other.
Filters and the trend window live in the URL, and the dashboard ships no client JavaScript. Every view exports to CSV carrying the same filters you are reading.
IP addresses are stored hashed, never raw. A key you paste for a one-off check is used for that request and thrown away.
The brands winning the answers you are missing, counted from the runs themselves rather than from a list somebody typed.
The AI-visibility tools all measure the same thing. They differ on what it costs to find out, and on whether you can audit the number.
Competitor entry prices are the vendors' own published figures as of August 2026, and this category changes fast — check their pricing pages before you decide. “Not published” means we could not verify a published answer, not that the feature is absent.
Paying buys quota. The check runs identically for every brand, funded or not.
Add a key for ChatGPT, Gemini, DeepSeek, Llama 3.3 or Perplexity to check those models too. One-off keys are used then discarded; saved keys are encrypted at rest. Gemini and Groq have free tiers.
Premium is not billable yet — the waitlist is how you hear when it is. Paying buys quota and tooling. It never buys a better score.
Yes. We ask Claude five real buyer questions about your category and report how often your brand comes up, with the actual quote when it does and who got named instead when it doesn't. Free with a free account, about 30 seconds, five checks a day.
We write five realistic buyer questions for your category, ask the model each one independently, and check whether your brand name appears in each answer. The score is how many of the five named you. Nothing is hand-tuned or estimated. See how it works for the full methodology.
Visibility is the share of answers that named you. Share of voice is your mentions as a fraction of every brand named in those same answers, which catches the case where you hold your score but the model starts naming twelve rivals instead of three. Average position is where you land when named: it is a rank, so lower is better, and it is left blank when you were named only in prose.
The free check runs on Claude, paid for by us. ChatGPT, Gemini, DeepSeek, Llama 3.3 and Perplexity run on an API key you supply — pasted into a one-off check and thrown away, or saved encrypted so a tracked keyword can be re-asked there. Gemini and Groq both have free tiers.
It counts listed praise and criticism cues in the sentence that names your brand, and shows you every cue that fired and the sentence it fired on. It is not a model's opinion of you and it is not a score out of ten. It will miss sarcasm and praise phrased in words that are not on the list, which is why the whole word list is on the screen. See the sentiment screen.
A rank tracker measures where a URL sits in a results list — a stable, repeatable position. We measure whether an assistant actually names your brand in a generated answer to a real buyer question. AI answers are not a ranked list and can vary between runs. See the full breakdown.
We store the check itself — brand, category, questions, answers and score — so a shareable result link works, plus a hashed version of your IP for rate limiting. We never store raw IP addresses. See the privacy policy for details.
No, and it never will. Premium, when it ships, buys quota, cadence and tooling — hundreds of keywords, daily sweeps, suggested queries, MCP access, team seats. The check itself runs identically for every brand, and every mention is a real substring of the model's actual answer.
An AI citation checker tests whether AI assistants like Claude and ChatGPT mention a specific brand when people ask for recommendations in that brand's category. Mentioned asks 5 realistic buyer questions and reports how often your brand appears in the answers.
More buyers now ask AI assistants for recommendations instead of searching Google directly. If an AI doesn't mention your brand for your category, it's recommending competitors instead — even if you rank well in traditional search.
Yes. Mentioned is free, with a limit of 5 checks per day per account and up to 25 tracked keywords that re-run weekly. A paid plan for higher volume and more providers is on the pricing page.
Yes. A tracked keyword is a brand and a category that re-runs on a schedule — weekly on our key, or daily if you have saved your own API key for every model it asks. The five questions are frozen when you create the keyword and reused verbatim on every run, so a move in the trend is a move in your visibility rather than a different question being asked. A free account can track up to 25 keywords. See the keywords screen.
Yes. Save an API key for ChatGPT, Gemini, DeepSeek, Llama 3.3 or Perplexity and a tracked keyword's frozen questions can be asked there too, then read back as a brands-by-models matrix. Because the questions are identical, a gap between two models is a gap between the models rather than a gap in what they were asked. A model that never names you is shown at 0% and never averaged with one that does. See the models screen.
There's no official “good” threshold — Mentioned doesn't grade you against a benchmark. 5/5 means your brand showed up in every one of the 5 answers; 0/5 means it showed up in none. What matters more than the raw number is who got named instead when you didn't — those are the competitors currently winning that answer — and how the score moves over time or across categories you check.
Run a free check, then track it weekly on frozen questions. No card, and every number keeps its receipt.