AI Visibility Audit

AI visibility audit: see where AI names and cites you

A GEO and AI SEO audit run on 50 buyer prompts across ChatGPT, Claude, Perplexity and Gemini. You see where you appear, who is named instead, and what to fix first.

The gap

Ranking in Google does not show if AI cites you.

  • One answer: Assistants return one answer with a few sources, not ten links. A brand that is not cited is not considered.
  • Different engines: ChatGPT, Gemini and Perplexity rarely agree. In LLMReach's October 2026 test of 250 buyer questions across 25 industries, 72% of the businesses named came from only one of the three assistants.
  • Google rank: A top Google position is not a guarantee of citation. Of 3,690 sites the assistants cited in that test, 13% ranked in Google's top 10 for the same question.
  • Blind spots: Without a baseline you cannot tell what works, so every change to your content or site is a guess.

A GEO audit starts from the questions your buyers ask, not from your keyword list, and ends with a baseline you can measure against.

Our own results

We do this for our own brand first.

Gemini · Named

“best agency for getting cited in LLMs”

ChatGPT · Named

“agency that gets you cited in AI models”

ChatGPT · Named

“best agency for getting cited in LLMs”

AI answers vary by platform and moment, so these show the method working on those days, not a promise of identical answers.

See all results

What you get

What an AI search audit should include.

A useful audit shows the buyer prompts where you appear or are absent, who is named instead, the sources behind those answers, and the work that would close the gap.

  • An AI share of voice baseline against your competitors
  • A prompt-level gap map across ChatGPT, Claude, Perplexity and Gemini
  • Competitor citation intelligence: who is cited and from which sources
  • A technical AEO checklist for your site
  • The single highest-impact recommendation
  • A prioritized 90-day roadmap
  • Each citation captured with the exact prompt, platform and screenshot

How it works

How the audit feeds the Citation Stack.

  1. 01

    Prompt research

    Define the scope and build the buyer-question set the audit measures: 50 prompts. Once an engagement starts, prompt research takes these further, defined by search volume and buyer intent.

  2. 02

    Technical optimization

    Check whether important information can be found and read by AI crawlers, and list the technical fixes in a checklist.

  3. 03

    Content

    Find the pages that should answer each question, and why they are not chosen.

  4. 04

    Reddit authority

    Map the third-party and community sources the answers rely on, including Reddit.

  5. 05

    Visibility tracking

    Record each metric separately, so later work is read against this baseline.

The audit diagnoses. The Citation Stack does the work: prompt research, technical optimization, content, Reddit authority and visibility tracking.

Who this is for

Understand the gap before choosing the tactic.

An AI visibility audit is the step that shows where AI assistants answer your buyer questions without citing you, and which evidence gaps cause it. LLMReach measures visibility, mentions, citations, share of voice, average position, sentiment and cited sources for a defined set of buyer questions. You then get the priorities those gaps point to.

Not for you

If any of these are you.

  • You want certainty that assistants will cite you
  • You want a single vanity score
  • You cannot define your buyer questions yet
  • You need proof of revenue impact from the audit alone

For you

If this is you.

  • You need a baseline before investing
  • Competitors appear where you do not
  • You want each metric explained
  • You want a clear next step

FAQ

Questions about the AI visibility audit.

What does LLMReach's audit of AI visibility cover?

The audit is a structured review of how a brand appears in AI-generated answers for relevant buyer questions. It measures visibility, mentions, citations, share of voice, average position, sentiment and cited-source patterns, then uses those findings to identify evidence gaps and priorities.

Is the free audit from LLMReach really free?

The strategy session and audit are free and carry no obligation. LLMReach delivers the audit and roadmap at no cost, reviewed with you live. You need only your website URL and the names of two or three competitors.

In an AEO audit, what is the difference between visibility and share of voice?

Visibility measures how often your brand appears in AI responses. Share of voice measures your brand's share of all tracked brand mentions relative to competitors. A business can have high visibility while holding a low share of voice if competitors appear more often in the same answers.

What does an AI search visibility audit record as a mention versus a citation?

A mention is a text reference to your brand in an AI-generated answer. A citation is a link to a page on your website. A brand can be mentioned without receiving a citation, so the audit records the two separately.

Which AI platforms does the audit cover?

The audit checks ChatGPT, Gemini and Perplexity, each one separately, because they rarely agree. In LLMReach's October 2026 test across 25 industries, 72% of the businesses named came from only one of the three assistants.

Can an audit promise that assistants will cite you?

An audit cannot promise citations. It diagnoses where buyer questions go unanswered by you, which competitors are cited in your place, and which technical, content and authority signals limit you. It also sets the baseline that later work is measured against.

Does the audit prove business impact?

An audit of your AI visibility does not prove traffic, pipeline or revenue by itself. It measures AI-answer presence and evidence patterns. Connect those findings with your own analytics and commercial data before making claims about business impact.

How can I verify the results of an AI visibility check?

Every citation is captured with the exact prompt, platform and screenshot, so you can reproduce any test yourself and compare the finding against the live answer.

What happens after an LLM visibility audit?

After the audit you leave with a clear roadmap. If you decide to move forward, LLMReach can expand the work into a full GEO engagement. If not, you still keep the data.

Free AI Audit

See where you stand in AI answers.

You leave knowing where the gap is, what is causing it, and which changes would matter first, whether we work together or not.

What to expect

  1. Audit

    Before the call, we run your buyers' questions through ChatGPT, Claude, Perplexity and Gemini.

  2. Map

    On the call, we show you where competitors are cited and you are not, and what's causing it.

  3. Decide

    An honest read on whether the Citation Stack fits. If it doesn't, you'll hear it on the call.

Don't see a time that works? Email Karim directly: contact@llmreach.ai