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AI Visibility Audit · Fixed-scope diagnostic

Find out why AI recommends competitors instead of you.

A senior diagnostic for founders and marketing teams that need evidence before investing in GEO, AEO or AI Search: which buyer questions matter, where your brand appears, which sources shape the answer and what to fix first.

ChatGPT · Gemini · PerplexityCompetitor benchmarkCitation source mapPrioritised roadmap

The decision gap

A visibility score alone does not tell you what to change.

AI answers vary by model, prompt, language, location and retrieval source. The useful question is not simply whether your brand was mentioned once, but why competitors keep earning the recommendation and which evidence gap is commercially worth closing.

Vanity prompts

Testing only your brand name creates reassuring results but says little about non-branded buyer discovery.

Missing source evidence

A percentage without the answers, citations and competitor sources cannot guide implementation.

SEO and GEO separated

Treating AI visibility as an isolated channel ignores the technical, content and authority systems that feed it.

No commercial priority

Tracking hundreds of prompts is useless when none reflects how qualified customers choose a provider.

The Visibility Evidence Map

From buyer questions to an implementation decision.

The audit turns an unstable set of AI answers into a practical baseline. It documents the evidence, separates observation from inference and assigns every recommendation to an existing page, a new asset or an external authority action.

01

Map

Define buyer prompts by problem, comparison, provider selection, market and decision stage.

02

Observe

Record mentions, recommendations, answer framing, citations and competitor presence across selected AI surfaces.

03

Verify

Audit the pages, entities, structured data and third-party sources that support or contradict each answer.

04

Prioritise

Build a roadmap scored by commercial relevance, evidence strength, effort, dependency and measurement value.

What the audit covers

Six layers of AI visibility — connected, not isolated.

01

Prompt opportunity

Which real customer questions can lead to discovery, comparison or a commercial shortlist.

02

Recommendation benchmark

How often and in what context your brand appears relative to named competitors.

03

Citation source graph

Which domains and pages influence answers, and where competitors have evidence you lack.

04

Entity accuracy

Whether models understand your offer, market, people, locations and differentiators consistently.

05

Technical retrievability

Crawlability, indexation, rendering, canonical, language and structured-data signals that affect access.

06

Content readiness

Whether service, comparison, proof and educational pages provide clear passages worth retrieving and citing.

What you receive

A decision pack your team can use immediately.

The output is designed for execution, not for decorating a reporting folder. Findings include the exact evidence behind each recommendation and a clear owner for the next step.

Prompt and competitor matrix

A focused set of commercial questions, models, languages and competitors with recorded outcomes.

Citation and source map

The domains and pages repeatedly shaping the category, plus missing sources and credibility gaps.

Readiness review

Entity, technical, content and trust issues connected to the pages or systems responsible.

90-day priority roadmap

Quick wins, structural work and authority actions ranked by impact, effort and dependency.

Who it is for

A focused starting point — not a generic automated report.

A strong fit if…

  • Buyers research providers, products or markets through AI assistants.
  • You need a baseline before approving a larger SEO or GEO investment.
  • Competitors appear in recommendations and you do not know why.
  • Your team can implement actions internally or needs a senior roadmap.
  • Spain, multilingual or international discovery is commercially important.

Not the right fit if…

  • You want a guaranteed recommendation from a specific model.
  • You only need a one-click visibility score without supporting evidence.
  • There is no working website, offer or defined audience to evaluate.
  • You expect AI visibility to replace product quality, reputation or SEO.
  • You want hundreds of automated prompts with no commercial prioritisation.

Clear scope

Audit first, ongoing optimisation when the evidence supports it.

AI Visibility Audit
AI Search & GEO
Purpose
Establish the baseline and diagnose gaps.
Implement, test and compound visibility over time.
Scope
Fixed prompt set, competitors, sources and site readiness.
Content, technical, entity, authority and measurement programme.
Best moment
Before committing budget or when visibility is unclear.
After priorities are agreed and the organisation can execute.
Output
Evidence pack and 90-day roadmap.
Ongoing implementation, reporting and roadmap iteration.

FAQ

Questions about the AI Visibility Audit

Which AI platforms are included?

The final selection depends on your market and customer behaviour. A focused audit can cover ChatGPT, Gemini, Perplexity and relevant Google AI surfaces without treating every platform as equally important.

How many prompts do you test?

The audit prioritises a commercially representative set rather than a vanity total. Prompts are grouped by buyer stage, offer, market, comparison and provider-selection intent.

Can you guarantee that ChatGPT will recommend us?

No credible audit can guarantee a recommendation from an external model. The work identifies observable gaps, supporting sources and actions that improve clarity, credibility and retrieval readiness.

Is this different from an SEO audit?

Yes. It examines prompts, generated answers, citations, competitor recommendations and entity accuracy, then connects those findings to technical SEO, content and authority.

Will the audit create duplicate content or cannibalisation?

No. Recommendations assign one primary intent to each commercial and informational page. New content is proposed only where a distinct buyer question or evidence gap exists.

Can you implement the roadmap afterwards?

Yes. You can execute internally, use the roadmap with existing partners or continue through a focused AI Search and GEO engagement.

Start with evidence

See the answers your buyers are getting before your competitors shape them.

Share your market, offer and the competitors customers usually compare. I will confirm whether a fixed-scope audit is the right first step.