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AI search visibility audit

Find out how your brand appears in AI search results, which sources are cited and where your content needs improvement. Get a prioritised action plan.

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Explore the service
Where does the answer come from?
QuestionsSourcesMentions
ContextQuery, service, date
ReviewYour brand and competitors
HandoverEvidence and priorities

An audit you can put to work.

When to audit your AI search visibility

Before creating more content, establish the starting point. We review representative questions, cited sources and the consistency of your public brand information.

A GEO audit gives you a starting point before you invest in a large AI-search content programme. It is useful when competitors appear in relevant answers, your company is described inaccurately, or different teams disagree about what needs to change. We examine a defined set of customer questions and the public information that supports them. The review connects observed answers with your website, factual evidence and relevant external sources. Marketing, editorial and development teams receive a common set of findings and a prioritised plan, making it easier to choose a focused first project and estimate the resources it will require. The audit can cover ChatGPT, Perplexity, Google AI answers and Yandex Alice. The exact services and testing conditions are agreed for your audience and market.

What the AI visibility audit covers

Brand mentions and citations in AI answers

We agree on the platforms, languages and question groups before checking visibility. Observations record the wording and context needed to understand the result, including whether the company is named, linked or compared with another supplier. The sample is designed around your market and customer decisions. This makes the report useful for a business conversation rather than a collection of unrelated screenshots.

Brand information and inconsistencies

We inspect how the offer, locations, specialisms and experience are described across important public pages. Outdated information and contradictions are recorded with source references. Where an answer misrepresents the business, we identify which facts need clearer support. Recommendations focus on correcting the information you control and preparing well-supported updates for relevant third-party profiles, without assuming that every external description can be changed directly.

Content gaps and supporting evidence

We assess whether important claims are explained and supported on the website. Service scope, original examples, author information and answers to buyer questions are reviewed together. A content gap is described as a specific missing answer or piece of evidence, with a suggested destination page. Editors can then estimate the work, request the right expert input and avoid producing another general article with no clear role.

Technical accessibility for AI search

We check whether important information is present in accessible page content and organised with a clear hierarchy. The review covers relevant crawl restrictions, rendered content, internal links and factual structured data. Findings identify the practical obstacle and affected page types. A technically accessible page does not ensure a citation, but removing avoidable access problems gives your published information a sounder foundation for discovery.

Competitor insights and an action plan

We compare the useful information available about competing offers, concentrating on the customer question rather than copying their pages. The report identifies topics, evidence and page types your website lacks. Recommendations are ordered by relevance, effort and dependency. Each proposed task explains its purpose and required inputs, allowing you to begin with a manageable group of changes and keep a record of later priorities.

Our AI visibility audit process

  1. 01

    Agree the audit scope

    We agree on products, markets, languages and the decisions you want the audit to inform. This determines the question sample and relevant sources, while recent changes and known information problems help direct attention from the beginning.

  2. 02

    Review AI answers and the sources they cite

    We document the agreed checks and investigate relevant public pages. Observed answers are kept separate from explanations about their possible causes, so the report remains clear about what was seen and what needs further investigation.

  3. 03

    Prioritise improvements

    Findings become technical and editorial tasks with a clear purpose. We identify who can supply the missing facts, which pages need attention and which changes depend on another action, helping your team estimate a realistic implementation sequence.

  4. 04

    Walk through the findings and next steps

    We review the important evidence with your team and explain the proposed priorities. The handover also defines what to observe after implementation, so you can evaluate later changes using a consistent question set and documented conditions.

Your AI visibility audit report

A record of tested questions and AI responses, a content gap analysis and prioritised recommendations for your content and development teams.

How we approach SEO

AI visibility audit pricing

Custom quote

The audit scope depends on the number of products, languages, platforms and competitors, plus the depth of website review required. A single specialist service can be studied differently from a broad international catalogue. We specify the observation sample, deliverables and discussion format in advance. Ongoing monitoring, new content production and implementation are separate scopes, which keeps the initial audit clear and easy to estimate.

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Our commitments

Clear scope and agreed costs

We document the scope, deliverables and costs before work begins. Additional tasks are agreed separately, so you can see what the budget covers.

You keep ownership and access

Your website, source materials and account access remain available to you. We document the work so another specialist can continue it without starting from scratch.

Transparent progress reporting

We show completed tasks, outstanding dependencies and the next priorities. Results are linked to the agreed reporting period and data sources.

Evidence behind recommendations

You receive the tested query set, observations and prioritised recommendations. We separate problems visible in the evidence from hypotheses that need further testing.

AI visibility audit FAQ

Why repeat the questions?

One answer is one observation. Repeated checks help distinguish recurring patterns from a one-off result.

Can we implement the plan ourselves?

Yes. Recommendations explain the purpose and priority of each change.

Can you audit a brand without changing the website?

Yes. The audit is an investigation and planning stage. We review agreed public information and available data, then explain recommended changes. Publication, account edits and development are separate actions. This is useful when you need to compare priorities internally or decide which contractor should implement the work before authorising changes to the website.

Why might our brand be missing from AI answers?

Your brand may be absent because an answer draws on different sources, the question does not call for a supplier recommendation, or clear information about your business is missing. We compare repeated checks with your website and relevant public sources to identify gaps you can address. A missing mention alone does not establish the cause.

Can the audit cover several languages?

Yes. We treat each language and market as a separate context, because customers may use different questions and comparison criteria. The scope specifies which versions and sources will be reviewed. This also helps reveal mismatched service descriptions or missing local information before you commission translations or expand the content programme.

Practical guides

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