AI visibility audit (AEO and GEO)

Start with an AI visibility audit

The audit establishes a baseline before I recommend ongoing work. I review how your business appears in AI answers, check supporting website content, and document gaps and practical next steps.

I review crawler access, business facts, service explanations, original evidence, and the pages that answer buyer questions. I then define a repeatable set of prompts and record how the monitored engines respond.

The work complements SEO rather than replacing it. Clear pages, accessible content, and credible evidence matter across both search and AI answers.

Ongoing monitoring and implementation

If the audit identifies a reason to continue, I monitor relevant buyer questions, review citations and factual accuracy, and prioritize changes to your website and business information.

I can implement agreed content, structure, and measurement changes or provide recommendations for your existing contributors. I confirm the monitoring cadence, responsibilities, and reporting approach in writing.

There are no preset packages. The scope follows the questions your buyers ask, the evidence available, and the changes you can realistically maintain.

Evaluation method

I agree a set of buyer questions and a defined group of answer engines before sampling. For each run, I record the exact question, engine, date, whether the business is named, which pages or sources are cited, and whether key facts are represented accurately. I repeat selected questions to separate recurring patterns from answers that vary between runs.

When competitor comparison is useful to the decision, I review the cited competitor pages and other public evidence behind those answers. I compare the clarity of the service explanation, the fit between the claim and its cited support, and whether the source actually answers the buyer's question. Visible mention or campaign activity is not treated as proof of traffic, conversion, or internal strategy.

I then check your relevant pages for crawler access, consistent business facts, service descriptions, useful supporting evidence, and content gaps. The findings distinguish direct observations from interpretation, note missing or time-sensitive evidence, and prioritize changes that can be tested in a later run. This keeps the work an AI visibility audit rather than a broad local or competitor report.

How I measure AI visibility

I record engine, prompt, date, citation, and how accurately an answer represents the business. I keep prompt sets consistent enough to compare changes and note the limits of any sample.

I compare visibility observations with relevant website inquiries and business outcomes where data is available. An observed mention is not proof that the work caused a lead or sale.

How the work starts

You send a short message about your business, audience, and the questions buyers ask. I confirm the scope, baseline review, tracking approach, and implementation responsibilities by email.

Pricing is shared after a short scoping message, based on scope. I do not guarantee inclusion in AI answers, a particular ranking, or a fixed volume of inquiries.

Audit and ongoing support

For a practical starting checklist, read AI search visibility for small business: the 2026 guide.

For the differences between these search approaches, read AEO, GEO, and SEO compared.