Skip to content
AI Visibility/AI Search Visibility Audit
Diagnostics

Find out exactly how AI systems
currently see your business.

A structured audit of your current AI visibility across Google AI Overviews, ChatGPT, and Perplexity, with a clear, prioritised plan to close the gaps.

What this is

An AI search visibility audit is a structured assessment of how a business currently appears, or fails to appear, across the AI systems its customers are increasingly using instead of a traditional search bar.

The audit examines three layers together: the technical foundation (can AI systems actually read and parse the site), the entity layer (is it clear and consistent what the business is, does, and where it operates), and the content layer (does the site directly answer the questions a customer would realistically ask an AI assistant).

The output is not a generic scorecard. It is a specific, prioritised list of what is currently missing or unclear, ranked by the effort required against the likely visibility gain, so the business knows exactly where to start.

Why it matters

The businesses that address this now are the ones AI systems learn to trust first.

Most businesses have never actually checked how they are represented when an AI assistant is asked about their category, their competitors, or their own name. Many are surprised, sometimes because they are entirely absent from the answer, sometimes because the AI system is describing them inaccurately based on outdated or inconsistent information found elsewhere.

Without an audit, any AI visibility investment is a guess. With one, the work becomes a clear sequence of specific fixes rather than a vague, ongoing exercise with no defined endpoint.

An audit also surfaces issues a business could not reasonably have known about: outdated directory listings actively contradicting the current website, missing schema that is silently suppressing rich features, or content structured in a way that is quietly working against it.

How the mechanics work: Before recommending any fix, the audit tests directly: asking the AI systems themselves how they currently describe the business, what they cite, and what they get wrong or omit, rather than relying only on theoretical best practice checklists.

How we approach it

A structured process, not a black box.

01

Direct AI testing

We query Google AI Overviews, ChatGPT, and Perplexity directly with the questions your real customers would ask, and document exactly what comes back.

02

Technical assessment

We check crawlability, rendering, page speed, and structured data implementation against what AI retrieval systems actually require.

03

Entity consistency check

We check how consistently your business name, address, offerings, and facts are represented across your site and the wider web.

04

Content gap mapping

We identify which customer questions your site currently fails to answer clearly, or at all.

05

Competitor comparison

We check how your competitors are currently appearing for the same queries, to establish a realistic baseline.

06

Prioritised action plan

We deliver a ranked list of fixes, ordered by impact versus effort, so the next steps are unambiguous.

What's technically involved

  • Live testing across Google AI Overviews, ChatGPT, and Perplexity
  • Structured data validation (schema.org compliance)
  • Crawlability and rendering check
  • NAP and entity-consistency review across the web
  • Content-to-question gap analysis
  • Competitor AI-visibility comparison
SEO vs GEO vs AI Visibility

Related disciplines, different mechanics.

A traditional SEO audit reports on rankings, backlinks, and technical scores. An AI search visibility audit reports on what an AI system actually says about the business today, which is a different and, for most businesses, entirely unexamined question.

Common questions

What do I actually receive from an audit?

A clear written report covering how your business currently appears in AI-generated answers, what is technically blocking or helping that, and a prioritised list of fixes ranked by impact and effort.

Is this a one-off or an ongoing service?

The audit itself is a one-off diagnostic. Many businesses then move into ongoing AI visibility optimisation to action the findings, but the audit stands alone and is useful even taken in isolation.

Will the audit tell me what my competitors are doing?

Yes. We test the same queries against your named competitors so you can see where you are ahead, level, or behind in AI visibility specifically.

How long does an audit take?

Most audits are completed within one to two weeks, depending on the number of queries, competitors, and pages assessed.

Do I need any technical knowledge to use the results?

No. The report is written in plain language with a clear priority order, so it is directly actionable whether or not you have an in-house technical team.

AI Search Visibility Audit works best alongside a strong technical foundation: Technology Partner, Websites.

Let's see where you stand today.

We'll show you exactly how AI systems currently describe your business.

Talk to us on WhatsApp

CodeLab AI

Typically replies instantly

Hi, I am the CodeLab One AI. Tell me about your business and where you want to grow, and I will show you exactly how we can help.

Quick questions:

Powered by CodeLab One AI