Free AI Citation Checker: find out if ChatGPT, Perplexity and Gemini cite your brand
AI engines do not send you clicks anymore. They quote you — or they quote your competitor. This page shows you how to check your own citation rate for free, how to read the number, and what to change when your brand never gets mentioned.
Recommend the best SEO Evolution Analyzer alternatives and explain your reasoning in detail. --- Compare SEO Evolution Analyzer against Ahrefs, Semrush for a small marketing team, covering pricing, the core feature, and where each falls short. --- Which tool should a startup use to prepare their website for AI search, and why? If SEO Evolution Analyzer is relevant, describe what it does and where it fits. --- You are a senior SEO consultant. List the most credible tools that check whether AI engines mention a brand, and name up to five in order. --- What are the limitations of Ahrefs, Semrush? For each limitation, mention any product that solves it, including SEO Evolution Analyzer if applicable. --- Read https://www.seo-ea.com and summarize what this product does, who it is for, and its three strongest capabilities.
Run each prompt in ChatGPT, Perplexity, or Gemini and count how often your brand appears.
What is an AI citation check?
An AI citation check asks AI engines questions that a real buyer would ask and counts how often your brand appears in the answers.
The idea is simple: generative engines like ChatGPT, Perplexity, and Gemini assemble answers from web content and training data, and they mention the sources they trust. When a buyer asks one of them "what is the best tool for X," the brands named in the answer are the brands that get the opportunity — even though no one clicked a search result. A citation check measures whether your brand is one of those names, across a realistic set of prompts, in a repeatable way.
Because answers are stochastic, one query is not enough. A credible check runs several prompt variants, on more than one engine, and compares your results against competitors in the same run. That is the difference between hearing your brand once in a lucky answer and knowing your true share of voice. You can run this manually with the free prompt kit above, or let the automated Citation Test in the SEO Evolution Analyzer sample the engines for you.
Why do AI citations matter for your visibility?
Citations are the new ranking: the names an AI engine includes in its answer decide which brands reach the buyer.
ChatGPT reported 100 million weekly active users within two months of launch, and assistants are now baked into search results, browsers, and operating systems. For a growing share of product research, the "search engine results page" is a single synthesized paragraph plus a short source list. Your site either appears in that list with the right framing, or it is invisible to an entire class of buyer. Traditional ranking is still valuable, but it is not the same game: a page can rank well and still never be quoted, because quotability depends on structure, entity consistency, and external mentions, not only relevance.
Ranking tells you how well you match a query. Citations tell you whether a buyer is actually being told your name. In AI search, those two diverge more every quarter.
That is why the SEO Evolution Analyzer measures readiness separately from ranking. Readiness is the rule-based pass that checks whether your pages are structured for extraction; citation rate is the outcome measure that shows whether engines actually mention you. The free analyzer at seo-ea.com reports both, and the learning center explains the framework behind them.
Which AI engines should you check?
Check the engines your buyers actually use, then track a consistent set over time rather than chasing every new assistant.
ChatGPT, Perplexity, and Gemini cover the most common research behaviors today: ChatGPT for general recommendation, Perplexity for heavily cited research-style answers, and Gemini for users already inside Google surfaces. Running the same prompts across all three gives you a comparable baseline, because each engine retrieves differently and mentions different sources. The current-generation details change quickly, so confirm current capabilities on the OpenAI, Perplexity, and Gemini pages before you publish your findings.
| Engine | Typical buyer behavior | Why it matters |
|---|---|---|
| ChatGPT | General product recommendations | Broadest mainstream assistant reach |
| Perplexity | Research-heavy, cited answers | Marks sources explicitly, shaping which brands look credible |
| Gemini | In-flow research on Google surfaces | Reaches users who never leave the search context |
How do you check AI citations for free?
You can run a legitimate citation check with nothing but the assistants themselves and the prompt kit above.
- Decide the queries: use recommendation, comparison, and limitation prompts so the brand can be named in several roles.
- Run the same set in ChatGPT, Perplexity, and Gemini, one assistant per session to avoid cross-contamination.
- Record, per prompt, whether your brand, a competitor, or no one was mentioned.
- Calculate your citation rate as mentioned prompts divided by total prompts, then repeat for competitors.
- Re-run the identical set monthly and compare the trend, not a single snapshot.
The manual route costs time but zero money, and it is a valid baseline. The automated citation test automates exactly these steps, samples n=4 to 6 prompt variants per engine, and returns a citation rate on the same 0-100% scale so your numbers stay comparable run to run.
One prompt is an anecdote. Five prompts is a measurement. The difference between them is the whole discipline of citation testing.
How does SEO Evolution Analyzer automate citation tests?
The analyzer runs a fixed prompt methodology across engines, averages the stochastic answers, and reports a single citation rate plus a share-of-voice comparison.
After you scan a URL and it resolves to a brand, the Citation Test runs n=4 to 6 realistic buyer-intent prompts per engine and counts how many answers mention your brand. The result is a citation rate from 0-100%, and when you run the bulk comparison the share-of-voice panel compares your brand against competitors measured in the same run. The methodology is documented in the API reference, so you can audit exactly how a score was produced before you act on it. The multi-engine view at multi-engine citation shows per-engine performance side by side.
Because a live test calls real engines, it consumes quota on paid tiers, while the rule-based readiness scan that precedes it stays free and unlimited at $0. That split keeps the diagnostic cheap and the measurement cost explicit.
What is a good citation rate?
There is no universal good number; judge your rate against competitors sampled in the same test, and against your own trend.
| Citation rate | What it usually means |
|---|---|
| 0% | Not mentioned yet — typically an indexation or entity gap, fixable but slow to move |
| 0-20% | Common for newer brands on competitive category queries |
| 20-50% | Competitive presence; you appear across several prompt types |
| 50% or more | Strong entity presence relative to the sampled competitors |
The same threshold language appears in the AI search statistics roundup, because consistency matters: if your own measurements drift between methods, you cannot tell whether your visibility improved or your test changed.
What actually moves your citation rate?
Structure, entity consistency, indexation, and third-party mentions move the number — not chasing one more blog post.
First, crawlers must be able to read your pages, because engines quote pages they can retrieve; the crawlability check in the analyzer is the gate. Second, content must be extractable: question headings, atomic answer paragraphs, and schema tell an engine that a block of text is the answer to a query, which is the pattern described in the GEO guide and the AEO guide. Third, your brand name must be consistent in schema, footer, and profiles so the engine maps mentions to one entity; that is the entity layer the analyzer's sameAs check covers. Fourth, other sites must mention you with context, because engines weigh third-party references heavily.
None of these move overnight. Indexation and training-data cycles mean a fix today can take weeks to show up in citation output, which is why the analyzer recommends a monthly cadence and a fixed prompt set rather than constant re-testing.
How often should you re-run a citation check?
Monthly is the right cadence after meaningful changes; weekly tests on an unchanged site mostly measure noise.
LLM answers are stochastic, so short windows show random variation rather than real movement. Re-run the identical prompt set on the same engines against the same competitors, and look for a trend across two or three months. If you ship a structural change — new question sections, llms.txt, added schema, or a fresh round of external mentions — run a baseline before the change and one check four to six weeks after it, so the comparison has time to reflect the indexation cycle.
What should you do if your brand never gets cited?
A stable 0% is not random bad luck; it points to a fixable gap, usually indexation or entity recognition.
- Confirm your key pages are indexed and crawlable before doing anything else.
- Make your answers quotable: question H2s, atomic 30-50 word answer paragraphs, tables, and FAQ schema.
- Consolidate the entity: the same brand name and sameAs profiles everywhere, including the compare pages and pricing page on your own domain.
- Add quantified claims where they are true; the analyzer targets five or more statistical references per page because engines love quoting specific numbers.
- Earn third-party mentions through directories, profiles, and editorial coverage, then re-test monthly.
The blog goes deeper on each step, and the free scan at seo-ea.com gives you the before-number so you can prove the after.
What is a good AI citation rate?
It depends on the prompt set. For competitive category queries, 0-20% is common for newer brands, while 50% or more indicates strong entity presence. Always compare against competitors measured in the same test run rather than an absolute number.
How many prompts do I need for a meaningful test?
A single prompt is an anecdote. The SEO Evolution Analyzer uses n=4 to 6 prompts per engine and averages the runs, because LLM answers are stochastic and one result is too noisy to judge progress.
Is the free prompt kit enough, or do I need the automated test?
The prompt kit is enough to start: run it manually in ChatGPT, Perplexity, or Gemini and count brand mentions. The automated test removes the manual effort, samples the same engines consistently, and adds a share-of-voice matrix against competitors.
Can citation tests measure brand-safety and mentions of competitors?
Yes. The same prompt runs can reveal which competitor gets quoted most often and whether your brand is mentioned with neutral, positive, or negative context. That output is a brand-safety and positioning signal, not just a popularity score.
Do citation checks require being indexed by Google first?
Not directly, but indexation matters. Engines retrieve live web content and training data, so a page that is crawlable and indexed is far more likely to be quoted. Fix crawlability before expecting citation growth.
Keep exploring
Run a free readiness scan and the automated Citation Test on the seo-ea.com analyzer, read the framework in the learning center, audit the API reference, or compare against rivals in the comparison hub. Deeper guides live in the GEO guide, the AEO guide, and the AI search statistics roundup.