What does AI citation tracking answer for you?
It answers the question of where AI engines get their information about your market. When ChatGPT, Perplexity or Google AI Overviews answer a question, they list the pages they used. Those pages are the citations. Across many answers, they show you which sites the engines trust in your topic.
The term AI citation tracking refers to gathering every citation your tracked answers include and grouping them by domain and type.
That is useful because it turns a vague goal into a list. Instead of "get mentioned by AI", you get a set of real domains and pages. Some will be yours, some will be competitors' and many will be directories, review sites and lists.
How does AI citation tracking work?
It collects the cited pages from every answer and adds them up across your whole prompt set.
- Run your prompts. Your prompt set runs on a schedule across the engines you choose.
- Store the sources. For ChatGPT, Perplexity, Gemini and Google AI Overviews, each answer is saved with the pages it cited.
- Group by domain. Pages are rolled up into source domains, so you can see which sites come up most.
- Classify each source. Every domain is sorted by type, such as a directory, review site or competitor page.
- Match your own URLs. URL mentions picks out every time one of your own pages is cited, and for which prompts.
Gemini is asked with Google Search on, so it names the pages it used. Plain Claude is asked without web search, so it doesn't return citations, though its answers still count towards mentions and share of voice. Claude with search does return citations.
What do you see on screen?
You see a ranked list of the most cited domains and pages across all your answers. Each one is labelled by type. You can filter by engine, prompt or date.
| Source type | What it usually means for you |
|---|---|
| Directory | A listing site the engines lean on. Worth checking you are listed and correct |
| Review site | Reviews shape how you are described. Worth watching what they say |
| Listicle | A "best of" list. Being included can lead to being named |
| Social | Posts and threads, often from Reddit, that the engines quote |
| Your own pages | Pages of yours the engines already trust |
| Competitor pages | Pages that give rivals a voice in the answer |
| News | Press coverage the engines draw on |
The social group often includes Reddit threads. Reddit insights finds the subreddits AI engines cite in your topic. It reads answers you already have, so it costs nothing extra.
Does it track earned media?
Yes, in the sense that matters for AI answers. Earned media tracking here means seeing which third party sites the engines cite in your topic. That covers news sites, trade press, review sites, directories and "best of" lists. Each cited source is sorted by type, so you can see which press and review sites carry the most weight. The prompt gaps screen then shows the sites cited in answers that name a competitor and not you, which are often the best places to earn a mention.
Which of your own pages get cited?
URL mentions shows every one of your URLs that an engine cited, with the prompts and engines behind it. That tells you which pages already work for AI search. It also shows which important pages never get picked up.
A good next step is to compare the two groups. Look at what the cited pages have in common, such as clear answers, plain facts or good structure. Then look at the pages that are missing. Page optimisation for AI search scores each page and gives a fix list.
Copilot is covered as well, from the other side. Upload the AI Performance report from Bing Webmaster Tools and the Copilot screen lists the pages Copilot and Bing AI cited, with the searches behind them. Each page shows which of your tracked engines also cite it.
If you link a task to a page in Work, the platform records a baseline first. Later it checks whether the page got cited. That way you can see whether the changes you made had any effect, rather than guessing.
Is an AI citation the same as a local citation?
No, they are different things, though they often overlap. An AI citation is a page an AI engine lists as a source for its answer. A local citation is a listing of your business name, address and phone number on a directory.
The overlap is that AI engines often cite directories. So a directory that shows up in your AI citations is usually worth checking in your local listings too. Both live in the same login, which makes that check quick.
Why do citations matter for AI search?
They matter because the pages an engine cites shape what it says. If a directory lists your competitors and not you, an answer built on that directory may leave you out. If a review site describes you badly, that tone can carry into the answer.
Citations also give you evidence. When an engine gets a detail wrong, the cited page often shows where it came from. According to the GEO research paper, adding citations, quotations and statistics to a page can raise its visibility in generative engine answers by up to 40%. Our guide on how AI engines choose sources goes into this in more detail.
Who uses AI citation tracking?
SEO and PR teams use it to decide where to spend outreach time. Local businesses use it to find the directories that matter most in their area. Agencies use it to give clients a clear list of target sites, backed by real answers.
Content opportunities also include AI answer gaps. These are questions where AI engines cite others and not you. Each one can be turned into a task with the evidence attached.
Where it fits
Citation tracking draws on the answers from AI visibility tracking. Competitor share of voice shows who is named alongside those sources. Reddit insights goes deeper on the communities the engines quote, and local citations tracks your directory listings and their status.