LLM Citation Checker

Citations are how language models build trust — and they're the strongest signal of whether your content actually works in AI. An LLM citation checker tells you whether ChatGPT, Perplexity, Gemini, and Google AI cite your website as a source, and which sources they use instead.

What Is an LLM Citation Checker?

An LLM citation checker is a tool that runs your category's real buying questions through the major language models and records the sources their answers cite. It answers three questions:

• Are you cited? Do the models reference your website in their answers?
• What's the source list? Which pages do the models actually draw on?
• Who's cited instead of you? When competitors are recommended, which sources drive it?

A checker is a snapshot. When you want the trend, move to AI citation tracking.

Why LLM Citations Matter

Being cited is the strongest signal in AI search — stronger than a mention:

1. Cited = trusted. A mention says a model knows you. A citation says a model used your site to build its answer. That's the difference between being named and being relied on.
2. Citations compound. Models reuse sources they trust. A citation this month increases the odds of one next month.
3. Citations reveal the mechanics. Every recommendation has a source behind it. Find the sources behind competitor wins and you've found your placement targets.

This is the supply chain behind how to get cited by AI.

How the LLM Citation Checker Works

1. Add your brand. Your domain and, optionally, your category and competitors.
2. We build your question set. The real buying questions buyers ask language models.
3. We ask the engines. ChatGPT, Perplexity, Gemini, and Google AI answer with live browsing.
4. We extract every citation. The full source list for each answer — not just your domain.
5. We grade your position. Are you cited? In which questions? Which sources do the models prefer instead?

Reading Your Citation Check

Your results come back as a clear picture:

• Cited questions. Where models draw on your site. Double down — citations are the strongest signal.
• Missing citations. Questions where models cite competitors or roundups but not you. High-intent gaps.
• The source landscape. The recurring sources models lean on in your category. Each one you're absent from is a placement target.

Growing Your LLM Citations

Citations follow a repeatable playbook:

1. Be the best answer. Content that answers each question more completely than the current sources. See AI search optimization.
2. Structure for extraction. Headings, tables, lists, and FAQ blocks a model can lift into an answer.
3. Get cited elsewhere first. Models cite pages that other trusted sources cite. Get into the recurring roundups and directories.
4. Add structured data. Schema makes your facts machine-readable. See schema markup for AI.
5. Re-check monthly. Citations compound, so the trend is the asset.

LLM Citation Checker FAQ

What counts as an LLM citation? Any answer where a model references your website — as a listed source, a linked reference, or a URL in the answer body. The checker captures the context so you can see exactly how you're cited.

Does the checker cover all major models? Yes. ChatGPT, Perplexity, Gemini, and Google AI are all included, and the report shows your citations per engine so you can see where you're strong and where you're missing.

How is a citation different from a mention? A mention is a model naming your brand. A citation is a model using your site to build the answer. Both are valuable; citations are the stronger trust signal and more predictive of future mentions.

How long does the check take? A few minutes. You get your citation count per engine, the full source list, and the gaps where models cite competitors instead of you.

Start Checking Your LLM Citations

See whether ChatGPT, Perplexity, Gemini, and Google AI actually use your site as a source — and which sources they prefer instead. Run your questions today and get your citations, the source lists, and the gaps to close.

Check your LLM citations → — see if the models rely on you.

Which metrics does the LLM citation checker report? The core metrics are: your citation count, citations by type (source list vs quoted in the answer), your citations per engine, the full source list for each question, and the recurring sources that dominate your category. Together they show the complete citation landscape — not just whether you're cited, but how and from where.

Why do models cite some sources over others? Models favor sources that are clear, structured, and corroborated elsewhere. A page that directly answers the question, uses schema, and is itself cited by trusted roundups is far more likely to be used. The checker's source list shows you exactly which pages have those qualities in your category — and which to target.