Guide · mentions, citations, recommendations · checked November 8, 2026
AI brand monitoring means asking ChatGPT, Gemini, Perplexity, Claude and Google's AI your buyers' questions on a schedule and recording what the answers say about you: whether you're named, recommended or cited, how you're described, and who's picked instead. A mention is the weakest of those: in our November 7 run, a typical answer named six tools.
Want to know whether AI recommends you, not just whether it says your name? supereo ours is our pick: its judge reads every answer and records whether you're named, recommended or cited, leads with how often you're recommended, shows each answer word for word, and flags wrong prices and features against your own pages. Run the free audit.
"AI brand monitoring" also names social listening tools that use AI to track mentions on social media and the web. This page is about mentions inside AI answers.
On November 7, 2026, supereo's research panel asked 28 buyer questions about AI visibility tools, AEO agencies and getting cited on ChatGPT, Perplexity, Claude, Gemini and Google AI Mode, 140 answers in all. 108 of them named at least one tool or company. Those named a median of 6, and as many as 16.
A mention-based metric scores all six the same. That's why the measure that matters is narrower: how often answers to your buyers' questions recommend you. The difference shows up in posts from people doing this work too: one consultant tracking AI Overviews found a site cited in 10 of 11 answers but named in only 3.
"Mentions" sounds like one thing. Each tool's docs define it differently, which is part of why tools disagree.
| Tool | What counts as a mention, in its own docs | Mentions and citations kept apart | Recommendations judged |
|---|---|---|---|
| supereo ours | Named: "the answer mentions you"; also judged for the same three calls on each competitor | Yes: named and cited are separate calls | Yes: "the answer offers you as something to buy or use", with its own words kept as the quote |
| Otterly.AI | Each prompt, engine and day counts as 1 or 0, even if the brand appears twice or under two names | Yes: brand mentions and domain citations | Not found |
| ZipTie.ai | Whole-word matching against a written contract; a brand named only as a source or integration "is not counted as a mention unless the text actually evaluates it" | Yes: Mentions Rate and Citations Rate | Not found; records sentiment |
| SE Visible | Mentions weighted by position; suggested aliases count once you confirm them | Yes: "Linked and unlinked mentions are counted separately" | Not found; records position and sentiment |
| Semrush | Its "advanced proprietary AI brand extraction system", which tells Tesla the carmaker from Nikola Tesla | Yes: mentions and citations | Not found |
| Profound | A response counts if it mentions your brand; the score's base is responses that name at least one brand | Yes: Citation Share is separate | Not found |
| Peec AI | "How often your brand gets mentioned across AI responses" | Yes: sources tracked separately | Not found; records position and sentiment |
Sources: supereo method, Otterly KPI definitions, ZipTie methodology, SE Visible, Semrush, Profound glossary, Peec AI docs, read November 8, 2026. "Not found" means their pages we read don't describe judging a recommendation.
Problem-first questions ("how do I…"), best-tool questions, comparisons and alternatives to your rivals. Keep questions that name your brand apart; they come back with you in them almost every time, and SE Visible warns they inflate overall numbers.
The app and the API can give different answers; a good tracker says which it used.
Named, recommended, cited, and whether the facts are right. Set aliases for how engines spell your name.
Read rates with their answer count and range. At a 30% rate, 200 answers still leave ±6 points.
Look at who's recommended instead of you and which pages the engine cited. That list is what to fix.
You can't edit an AI answer; you can fix the pages it reads. Judge each fix against questions it couldn't have touched.
Monitoring isn't only about presence. Engines repeat old prices and wrong features. ZipTie.ai lets you register up to 15 facts and flags answers that contradict them; supereo flags a wrong price or feature against your own pages and fixes the page the engine read. Either way, the fix is at the source: as SE Visible puts it, you can't edit an AI answer directly, only the page behind it.
Public posts, word for word, complaints first. They're individual posts, not reviews or ratings.
“HubSpot gets cited in every AI answer in our space and we don't, and I can't figure out why. That's the insight I'd pay for, not a mention count.”u/reviewflow on r/SEO_tools_reviews · Jul 29, 2026 · Read the post
What helpssupereo shows who gets picked when it isn't you, for each question, and the pages the engines cite instead of yours, so the gap comes with its reason.
“Semrush does that too and it always feels like a vanity metric.”u/evolkween on r/DigitalMarketing · Jul 15, 2026 · Read the post · The post is about a single percentage visibility score
What helpsA share of answers that mention you can't tell a passing mention from a pick. supereo leads with how often answers recommend you, with its range, and reports mentions beside it.
“The reason they disagree is that they're not measuring the same thing, they just all call it "visibility." Underneath there are four different events: mentioned (your name appears), cited (your name appears attributed to a claim), linked (there's an actual URL to you), and selected (you're the recommended answer, not one of ten).”u/Glyn_SLS on r/GEO_optimization · Jul 10, 2026 · Read the post
What helpssupereo's judge makes three calls on every answer, named, recommended and cited, keeps the answer's own words as the quote, and leads with recommended.
“Being a source is not the same as being named. Semrush.com was cited in 10 of those 11 answers, but the name Semrush appeared in only 3.”Yusuf Ozbay on LinkedIn · Nov 8, 2026 · Read the post · The poster built his own AI Overview tracker
“We tried peec and profound. Ultimately used GrowByData, semrush, Google search console and Bing search data. Just ai monitoring tool wasn't sufficient as we had to use another one for Google.”u/Traditional-Dog-2850 on r/aeo · Oct 19, 2026 · Read the post
What helpssupereo tracks Google's AI Overviews and AI Mode on the same plan as ChatGPT, Gemini, Perplexity and Claude, each labeled with how it was asked.
Tracking what AI assistants and AI search say about your brand: whether answers to your buyers' questions name you, recommend you or cite your pages, how they describe you, and who they pick instead, measured over many answers.
Ask ChatGPT a fixed set of buyer questions on a schedule, signed out, and record each answer. Report the share that name you and, separately, the share that recommend you, with ranges. supereo does this on ChatGPT's app and five other engines, three times a week each.
Times an AI answer names your brand. They're the broadest signal: a typical answer in our November 7 run named six tools, and a buyer acts on the one it recommends. Count recommendations and citations too.
A mention is your name in the answer text; a citation is a link to your page among its sources. They often come apart: you can be cited without being named, or named while the answer links someone else's review of you.
No. AI visibility counts how often a brand shows up anywhere in an AI answer, often as one name in a list of six. Being recommended means the answer tells the buyer to pick you. supereo reports both, and leads with its recommendation rate: the share of answers to your buyers' questions that recommend you, with its range.
supereo, for most brands that want to be recommended rather than counted: it judges every answer as named, recommended or cited, shows the answers, and does the work to change them. For mention tracking alone, Otterly.AI and Peec AI publish clear definitions.
More: AI Overview trackers compared · AI share of voice · LLM monitoring tools
The November 7 figures are our count of supereo's research panel answers (28 questions, 5 engines, US). Tool definitions come from each tool's docs, read November 8, 2026. Quoted posts are copied word for word and linked. Full method.