Understand how AI-powered search interprets, evidences and represents your brand
AI search does not give you a stable rankings table.
A response can change with the system, the question, the context, the sources available at that moment and the way the question is framed. Some answers include citations. Some do not. Some mention brands confidently and incorrectly. That is not a flaw you can solve with a weekly scorecard.
This is a senior-led AI Search Audit, sometimes described as an AI visibility audit, GEO audit or LLM visibility audit, focused on whether your business is clear, credible and well-evidenced enough to be considered when buyers use AI-powered search to compare options and validate decisions.
The useful question is not simply, “Did we appear?” It is whether there is enough clear and reliable information for an AI system to understand where your business fits and why it should be included.
Is an AI Search Audit the right place to start?
Before recommending an audit, I will tell you if AI search is not the real problem. Sometimes a Technical SEO Audit or broader Strategic SEO Consulting engagement is the more sensible investment.
Request an AI Search Audit25+ years’ experience
Senior SEO judgement across technical, strategic and international search work.
Independent assessment
No visibility platform, prompt tracker or predetermined solution to sell.
Direct senior delivery
The audit is carried out by me, not passed to a junior team or generated by a dashboard.
AI Search Audit vs AI visibility report
A visibility report can show what happened in a controlled set of prompts. That has some value. It is not strategy.
| AI visibility report | AI Search Audit |
|---|---|
| Counts mentions across a prompt set | Investigates why inclusion or exclusion happens |
| Produces a score or dashboard | Produces priorities and a commercial roadmap |
| Treats prompts as the strategy | Starts with real buyer questions and decisions |
| Automated and repeatable | Senior-led and specific to your market |
| Shows outputs at a point in time | Assesses brand clarity, evidence, sources and competitive contrast |
An AI visibility tool tells you what it observed. My audit asks the more useful questions behind the output: whether the brand is understood accurately, which buyer questions it is eligible to answer, why competitors are easier to retrieve or cite, and what should change first.
What the AI Search Audit is designed to uncover
Whether systems can make sense of your business
Is it clear what you do, who you serve, where you fit in the market and what you should be known for?
Whether claims are properly evidenced
Are important claims supported by useful pages, original research, proof points, reviews and credible third-party sources?
Where you are genuinely eligible to appear
Which comparison, evaluation, validation and category-choice questions have real commercial value and are plausibly winnable?
Why competitors are easier to use
Are competitors clearer, better evidenced or more consistently referenced even when their underlying offer is not better?
What I look at
Brand and entity clarity
How consistently the business is named, described and categorised across its own site and the wider web.
Buyer-intent coverage
Whether useful material exists for the questions people ask when comparing options, checking suitability or reducing risk.
Evidence and source strength
Whether key claims have enough supporting material to be found, interpreted and reused.
Competitive contrast
Where competitors are clearer, better evidenced or more consistently referenced, and whether that matters commercially.
The scope depends on the market and business model. This is broader than on-page SEO and more commercially grounded than a generic LLM visibility report.
What you will receive
The deliverable is designed to be used, not admired and forgotten.
Executive assessment
A clear view of how your brand is understood and where the material risks sit.
Buyer-question map
The commercially relevant comparisons, evaluations and validation questions worth concentrating on.
Evidence and competitor findings
Where claims, sources and category signals are weak and where competitors are easier to use.
Prioritised roadmap
Quick wins, structural work and longer-term opportunities separated from low-value noise.
Walkthrough
A direct discussion of the findings, trade-offs and what should happen next.
How the audit works
1. Map
Identify questions that reflect real evaluation behaviour, not a generic list of 100 prompts.
2. Assess
Sample relevant AI-search surfaces systematically while remaining honest about variation.
3. Trace
Investigate terminology, evidence, consistency, retrievability and external reinforcement.
4. Prioritise
Separate what to address first, what can wait and what is unlikely to justify the effort.
Recommendations may cover pages to consolidate or create, claims that need better proof, category language that needs tightening, comparison content, research or case evidence, third-party validation and technical work that makes important information easier to retrieve.
For a wider view of how search behaviour reveals real demand and decision-making, see how to turn search data into market intelligence.
Typical findings
Inconsistent business descriptions
The organisation is described differently across important pages and external sources.
Competitors own comparison questions
They are easier to explain and retrieve, not necessarily better.
Unsupported marketing claims
Important claims exist, but the evidence needed to rely on them cannot be found.
Category language is unclear
Product or service terminology makes the business harder to categorise and compare.
Rankings conceal buyer-journey gaps
Conventional performance looks healthy while commercial decision-support content is missing.
Teams send conflicting signals
Content, brand, PR and SEO activity do not reinforce the same positioning or evidence.
Who this AI visibility audit is for
This is for established businesses and serious marketing teams that want to make better decisions about AI search.
It is a good fit if buyers may be encountering inaccurate descriptions of your business, competitors appear more often in comparisons, conventional rankings are stable but visibility is becoming less straightforward, or you need an experienced view before committing budget to another AI-search initiative.
It is not a good fit if you want a single score to track every week, a guarantee that you will appear in specific answers, or an automated report that can be generated with very little thought.
Those things are available elsewhere. They are just not especially useful on their own.
FAQs.
Can anyone guarantee rankings or mentions in ChatGPT?
No. AI-generated answers vary by system, context, available sources and phrasing. The audit identifies conditions you can improve; it does not pretend an unstable environment can be guaranteed.
Is an AI Search Audit different from SEO?
Yes, but they overlap. Technical accessibility, content structure, search demand and authority still matter. The audit adds brand interpretation, evidence, source strength and AI-mediated buyer journeys to that foundation.
Which AI search platforms do you assess?
The mix depends on where your customers search and what can be assessed responsibly. It may include ChatGPT, Google AI experiences, Perplexity and other relevant systems rather than a fixed platform checklist.
Is this the same as a GEO or LLM visibility audit?
The labels overlap. The important distinction is the method: this is a strategic assessment of buyer questions, evidence, sources and competitive eligibility, not an automated mention-counting report.
Can my internal team implement the recommendations?
Yes. The roadmap is intended to be usable by your team, agency or another specialist. Where helpful, I can remain involved through ongoing SEO management or strategic consulting.
What if AI search is not our main problem?
I will say so. If technical SEO, positioning or broader search strategy is the more sensible starting point, I would rather recommend that than sell you the wrong audit.
What happens after the audit
You can take the roadmap and implement it internally, with your agency or with another specialist.
Where it makes sense, I can stay involved to refine category narrative, improve content structure, build evidence assets, strengthen source material and challenge priorities as the market changes. The audit remains a defined piece of work. The purpose is clarity, not dependency.
Is an AI Search Audit the right investment?
An audit is useful when there is a real business question behind it. Perhaps the brand is being misrepresented. Perhaps competitors are becoming the default answer. Perhaps you have a lot of content but little confidence that it supports decisions buyers now make through AI-powered search.
Request an AI Search Audit
Book a direct conversation about whether an audit is actually the right investment. If I believe the problem lies elsewhere, I will tell you.
Request an AI Search AuditNo guaranteed placements. No “rank in ChatGPT” nonsense. Just a clearer view of what AI search can currently make of your business and what is worth fixing.