Agency tool
The AEO Citation Monitor asks ChatGPT, Claude, Perplexity, and Gemini the questions your buyers ask, then tells you whether you were cited, merely mentioned, or left out entirely.
Example output
How it works
Give the monitor your business name, domain, and the category you compete in. Category matters more than name: buyers rarely ask for you, they ask for what you sell.
The monitor runs a standing set of buying-intent prompts across ChatGPT, Claude, Perplexity, and Gemini. Best-tools questions, recommendation questions, comparison questions, and direct brand questions. The same shapes a real buyer uses.
Being named is not being recommended. Each response is classified three ways: cited with a link, mentioned without one, or absent. Positive and negative language around your name is scored separately, so a bad mention never reads as a win.
The monitor re-runs on a schedule and reports what changed. New citations, lost citations, competitors who appeared where you used to be, and any answer where a model describes your business incorrectly.
Why citation monitoring matters
Ranking in the top 10 for a query no longer predicts being cited in the AI answer for it. The two systems select on different signals. If you are only watching positions, you are watching the wrong dial and will not see the drop until traffic tells you.
Most AI visibility tools count brand mentions. A mention in a list of also-rans and a recommendation as the top pick both register as one mention. The monitor separates them, because only one of them sends you a customer.
Misdescription is the failure nobody looks for. A model repeating stale pricing, a discontinued feature, or the wrong category does more damage than silence, and it persists until something in the index corrects it.
The set of businesses an AI recommends in your category shifts as new content enters the index. Watching that set, not just your own name, is how you see a competitor coming while there is still time to respond.
What you get
4-engine coverage
ChatGPT, Claude, Perplexity, and Gemini, asked the same questions on the same schedule.
Cited, mentioned, absent
Three outcomes, never collapsed into one number. You always know which one you got.
Sentiment scoring
Positive, negative, and recommendation language scored separately around every mention.
Competitor set tracking
Who else appears in the answers you want, and whether that set is growing or shrinking.
Weekly deltas
What changed since last week, not a static snapshot you have to interpret yourself.
Client-ready reporting
White-label export for agencies running this across a book of clients.
Reading the results
The model named you and linked to you. This is the outcome that sends traffic, and the one worth defending. When a citation appears, note which page earned it and what that page answers directly. That structure is the thing to repeat, not the topic.
The model knows you exist but did not send anyone to you. Usually this means your name has entered the index through third-party coverage while your own pages have not answered the question directly enough to be worth linking. The fix is on your site, not in more coverage.
You were not in the answer at all. Before writing more content, check what the models did return. The businesses named in your place are the actual competitive set for that question, which is often not the set you assumed you were competing with.
Common questions
Answer engine optimization monitoring tracks whether AI systems name, link to, and recommend your business when someone asks a buying question in your category. It is the AI equivalent of rank tracking, except the unit is a citation in an answer rather than a position in a list of links.
ChatGPT, Claude, Perplexity, and Gemini. Each is asked the same standing prompt set on the same schedule, so the comparison between engines is like for like rather than a collection of one-off spot checks.
A brand mention tool counts occurrences of your name. This monitor classifies the context. Cited with a link, mentioned in passing, or absent entirely, with the language around each mention scored for whether it endorses you or warns against you. Being listed last among five options is a mention, and it is not a win.
Weekly by default. AI answers move slower than search results but faster than most teams check, and a weekly cadence catches meaningful movement without generating noise from single-run variance.
Start with what changed on the page the model used to cite, then check whether a competitor published something more specific on the same question. Lost citations are usually displacement rather than penalty, and the response is better content on the exact sub-question, not more content in general.
Yes. The monitor is an Agency feature and supports multiple client workspaces with white-label reporting, so citation tracking can sit alongside rankings in the report you already send.
Less than most people assume. Large studies have found no citation lift from adding schema alone, and several AI systems do not read JSON-LD at fetch time at all. Clear, specific, answerable content on the page beats markup. The monitor measures the outcome so you can stop guessing which changes worked.
Set your category once. The monitor asks the questions every week and tells you what changed.