AI visibility audits for SaaS teams

Find out if AI recommends your competitors first.

Run a free snapshot to see what the result means now, which page to ship first, and where buyers still need clearer pricing, proof, and comparisons before AI can recommend you confidently.

Free: your buyer's questions, measured liveSee where you appear, where a competitor does, where nobody doesCredits to measure again after you publish

Instant audit

Visibility snapshot

Free output: score meaning, first move, first page to publish, and prompts to re-test after shipping.

Free audit

The AI verdict, the questions your buyers actually ask an assistant (read from your site), and one live measurement of them across ChatGPT, Gemini and Claude.

The map

Question by question: where the models recommend you, where they recommend a competitor, and where nobody answers well. The empty ones are what to write next.

The full report

The snapshot is free. The report is the plan: which pages to publish first, in what order, what to verify, and what should move in 14 days. One payment, no subscription.

Current snapshot

Your brand

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AI verdict

Mode: localOpenAI missing keyGoogle Gemini missing keyClaude missing key
Diagnosis

This snapshot estimates readiness from category clarity, competitor set, and brand signals. Add API keys to enable provider checks and reduce guesswork.

Competitors
No competitors listed
Operator brief

The brand is still too hard to recommend consistently from the current site and prompt coverage.

The main gap is not more prompts. It is turning your brand into an easier choice on comparisons, proof, and fit questions.

The product is still hard to classify and trust from the current inputs, so broad category prompts will be unstable until the basics are clearer.

This snapshot is using the local scoring layer only. Treat it as directional until provider checks are enabled. This ran without a location, so it measures the category as a whole. If the business serves one city or region, re-run with it: the prompts, the competitors and the actions all change.

First page to ship

What is your brand and who is it for

Do next

  • - Ship "What is your brand and who is it for" first.
  • - Publish a page that explains when buyers should choose your brand.
  • - Publish "What is your brand and who is it for" so models can answer recognition and fit questions quickly.

Pages to line up next

  • - What is your brand and who is it for
  • - your brand alternatives

What to expect

Expect clearer answers on "your brand" comparison prompts after the first two decision-stage pages go live.

What to expect

Expect less provider disagreement once proof and fit are explicit on-page.

What to expect

Do not expect broad "best in category" wins first. Expect easier branded and mid-intent recommendation paths before category leadership.

See the full report
Buyer prompts to verify after shipping

best your category

which your category should I choose

recommended your category

your category alternatives

what is your brand

your brand reviews

compare your brand vs competitors

How an audit works

The questions your buyer asks an assistant, the answer they get back, and where your brand sits in it.

GEO & AEO FAQ

What is Generative Engine Optimization (GEO)?

GEO is the practice of making your brand more likely to be surfaced, cited, and recommended when people ask AI assistants and AI search about your category. Instead of ranking blue links, you optimize the site evidence and context that language models draw on when they generate an answer.

How is GEO different from traditional SEO?

Traditional SEO targets a ranked list of links on a results page. GEO targets the single synthesized answer an AI assistant gives, where there are no ten blue links — only whether your brand is named. It rewards clear, structured, quotable evidence over keyword density and backlinks.

What is Answer Engine Optimization (AEO)?

AEO is optimizing to be the direct answer an engine returns, rather than one of many results. In practice it overlaps heavily with GEO: both aim to get your brand cited inside AI-generated answers on ChatGPT, Gemini, Perplexity, and AI Overviews instead of buried in a link list.

Which AI assistants does LLM Audit check?

Each audit queries your buyer-intent prompts against OpenAI, Google Gemini, and Claude. We report how consistently your brand appears across repeated runs, so you see a confidence signal rather than a single non-deterministic answer that could change on the next request.

Can I see how my brand appears in AI answers for free?

Yes. The free snapshot audit shows how likely your brand is to surface when buyers ask AI assistants about your category, which competitors get cited instead, and which decision pages are missing. No credit card is required — it is a lead magnet, not a trial.