LLM Visibility Audit

Key Takeaways

A proper LLM visibility audit spans 4 engines and 25+ deterministic prompts.
Measure mention share, sentiment, and citation source — not just presence.
Compare against 3 direct competitors to reveal ‘revenue-at-risk’ prompts.
Rerun weekly; single-shot audits under-sample LLM variance.

What an LLM visibility audit measures

Every serious audit tracks four dimensions per prompt, per engine:

Mention presence — does the LLM name your brand at all?
Mention share — what % of the answer volume mentions you vs competitors?
Sentiment — positive, neutral, or negative framing.
Citation source — which URLs did the LLM pull to justify the mention?

The 45-minute audit workflow

You can run a manual pass with a spreadsheet, or automate with a tool like Optymia.

1. Build a prompt panel of 25 buyer-intent queries in your category.
2. Run each prompt through ChatGPT, Perplexity, Gemini, and Claude.
3. Log brand mention, sentiment, and cited URLs per response.
4. Repeat with 3 competitor brand names swapped in for baseline.
5. Aggregate into a mention-share matrix per engine.
6. Flag prompts where competitors are cited and you are not — this is your revenue-at-risk list.

What to do with the audit output

For every ‘competitor wins’ prompt, identify the cited URL and reverse-engineer why: does it have FAQ schema? A Wikipedia mention? A recent update? Then publish a superior answer on your own site and secure at least one third-party citation.

Rerun the audit every 7 days. LLM outputs are non-deterministic — a single audit tells you almost nothing; a 4-week rolling average tells you everything.

Frequently Asked Questions

What is an LLM visibility audit?

An LLM visibility audit is a structured measurement of how often and how favorably large language models like ChatGPT and Perplexity recommend your brand for representative buyer queries.

How often should I run an LLM visibility audit?

Weekly. LLM outputs vary run-to-run, so only a rolling multi-week average is statistically meaningful.

Can I run an LLM visibility audit myself?

Yes — a manual 25-prompt audit across 4 engines takes about 45 minutes with a spreadsheet. Automating with Optymia turns it into a persistent dashboard.

What is a good LLM mention share?

For a category challenger, 15–25% mention share against the top 3 competitors is a healthy target; category leaders should aim for 40%+.

How to Run an LLM Visibility Audit (Free Template Inside)