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 Outdated information and contradictions are recorded with source references.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.
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.
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