LLM Visibility Checker

Large language models now browse the web to answer your customers' questions — and every answer is a decision about your brand. The Gerush LLM visibility checker measures how ChatGPT, Perplexity, Gemini, and Google AI see you: mentioned, recommended, cited, or invisible.

What Is LLM Visibility?

LLM visibility is how prominently your brand appears in the answers large language models generate when they respond to questions in your category. It is the successor metric to Google rankings — and it behaves completely differently.

When a model answers "which analytics tool should a small team use?", it does not show ten links. It retrieves information, reasons over it, and writes one answer that names the brands it trusts. LLM brand visibility is where your brand sits in those answers.

The four levels, from weakest to strongest:

• Invisible — the model answers your category and never mentions you.
• Mentioned — the model knows you exist but does not recommend you.
• Recommended — the model names you as an option worth choosing.
• Cited — the model uses your website as a source for the answer.

Why LLM Visibility Is the Metric to Watch

Three forces make LLM visibility the metric your business should track alongside — and eventually above — search rankings:

1. The answer is the product. When a model recommends a brand inside an answer, that recommendation is the whole conversion. There is no "other results on page two" to save you.
2. Trust is transferred to the model. People ask an assistant and trust the synthesis. They rarely open every citation to verify.
3. It compounds across models. The sources and answers that win in ChatGPT influence Perplexity, Gemini, and Google AI. Win one and you begin to win the rest.

If you are only measuring Google rankings, you are measuring the channel that is shrinking while ignoring the channel that is growing.

How the LLM Visibility Checker Works

The checker measures real answers from real models:

1. Add your brand. Enter your domain, and optionally your category and competitors.
2. We generate your question set. The real buying questions in your space — recommendations, comparisons, and how-to-choose questions.
3. We ask the models. ChatGPT, Perplexity, Gemini, and Google AI answer each question with live web browsing.
4. We capture raw answers. Verbatim, so you can read exactly what the models say about you.
5. We score your visibility. Mention, recommendation, or citation per question per model — plus an overall LLM visibility score and a competitor gap report.

Reading Your LLM Visibility Score

Use your report in three moves:

1. Find your invisible questions. Which questions answer with competitors and never mention you? These are your highest-intent gaps.
2. Trace the sources. Why does the model recommend your competitor? From a comparison roundup, a review site, an editorial? The source is your placement target.
3. Track the trend. Run the same questions monthly. LLM visibility is a compounding asset — prove it growing.

What Moves LLM Visibility

The levers are consistent across every model:

1. Be quotable. Models cite content they can lift cleanly — direct claims, tables, lists, definitions. This is the essence of LLM SEO.
2. Be corroborated. Models weigh how many independent, credible sources agree. Third-party mentions — roundups, reviews, directories — matter more than your own pages.
3. Be legible. Clear entity signals — consistent naming, category, and structured data — let models classify you as a real brand, not a guess.
4. Be current. Fresh, well-sourced content beats stale pages.
5. Be tracked. Measure monthly. Visibility decays if you stop working.

For the full playbook, see LLM brand visibility and the broader AI search visibility guide.

LLM Visibility vs AI Visibility

These terms are often used interchangeably, and the distinction is small:

• AI visibility is the umbrella term for visibility across all AI-powered search — see our AI visibility guide.
• LLM visibility zooms in on the large language models themselves — ChatGPT, Gemini, Perplexity — and how they consume and cite the web.

In practice you track the same way: run real questions, grade the answers, and trend the score. Our AI visibility checker covers both in one audit.

Start Your Free LLM Visibility Check

See how large language models see your brand today. Run your first check and get a per-model breakdown — mentioned, recommended, cited, or invisible — plus the competitors the models name instead of you.

Run your free LLM visibility check → — your baseline in minutes.

LLM Visibility Checker FAQ

Which models does the checker cover? ChatGPT, Perplexity, Gemini, and Google AI — the engines your customers are actually using. Each model retrieves and cites the web differently, so you get a per-model breakdown, not one blended number.

Is LLM visibility the same as ChatGPT visibility? ChatGPT is the biggest single LLM, but visibility in Perplexity and Google AI matters too. If you specifically want a ChatGPT-focused audit, use the ChatGPT visibility checker.

How fast will my visibility improve? Content and entity fixes can move you from invisible to mentioned within weeks. Moving from mentioned to recommended and cited depends on earning third-party corroboration, which compounds over a few months of steady work.