AI Visibility Audit for B2B: Measure and Grow Your Visibility in AI Search
Buyers, engineers and executives now research suppliers in conversation with ChatGPT, Gemini, Perplexity and Google AI Overviews. The AI names a handful of companies, categorizes them and explains its choice. Companies that appear in these answers make the shortlist early and enter every sales conversation with a head start.
An AI visibility audit is a systematic measurement of how visible a company is in the answers of generative AI systems, how it is described there and which sources shape that picture. The results translate into a prioritized roadmap for PR, content and your website. In the language of search specialists, this is a GEO audit: the starting point of generative engine optimization, which we describe in detail on our GEO agency page.
With the B2B AI Visibility Audit from Ruess Group, you receive this AI search visibility audit for your markets, languages and competitors. We combine data-driven GEO analysis with decades of experience in systematic trade media PR, because the trade press is among the most important sources AI systems draw on. The result is a clear baseline, a reliable metric and a plan that expands your AI visibility step by step.
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What marketing leaders are asking today
The way B2B companies discover suppliers is changing faster than at any time in recent decades. In conversations with marketing directors and CMOs, we hear six questions again and again. Each of them can be answered with data, and each points to a concrete lever for growth.
How do we make the shortlist that forms in AI?
Generative AI has arrived in B2B buying. According to Forrester’s State of Business Buying 2026, twice as many business buyers name generative AI as their most important information source as any other source. 94 percent of buyers use AI in their purchasing process. At the same time, buying groups keep growing: on average, 13 internal stakeholders and 9 external influencers take part in a purchase decision.
Many of these people ask an AI first: Which manufacturers offer this application? What should we look for when selecting a supplier? Who has experience in our industry? The answers determine which suppliers make the shortlist, long before sales makes first contact. The audit shows you which of these questions already lead to your company and where the greatest potential lies.
Why do strong Google rankings deliver fewer visits today?
Many marketing teams see stable rankings generate fewer clicks than before. An analysis by SEOcrawl of 16,661 websites shows Google clicks down 15 percent year over year, and 20 percent for the median site (October 2026). Pew Research measures a click rate of 8 percent when Google shows an AI summary, compared with 15 percent on results pages with a classic list of links.
Rankings remain valuable, because most AI systems ground their answers in Google or Bing search. A second layer now comes on top: whether the AI selects your content as a source and names your company in its answer. The audit makes this second layer measurable.
How visible are we in ChatGPT, Gemini and Perplexity?
For most companies, this question is still open. In Agentcy’s AI Visibility Index (March 2026, 104 senior B2B marketing leaders), 81 percent call AI visibility a blind spot in their marketing intelligence. 10 percent can currently connect AI touchpoints to revenue, and 26 percent have yet to assign ownership for the topic. Two thirds have checked how their brand appears in AI answers at least once; a quarter does so regularly.
Measuring ChatGPT visibility reliably requires a method that reflects how these systems work: AI answers vary from one query to the next. A robust picture emerges from many questions from your buyers’ perspective, several runs per question and a comparison across systems. LLM visibility also differs significantly between ChatGPT, Gemini and Perplexity, because each system uses different search indexes and sources. Our audit is designed exactly for this.
Does AI describe our company correctly?
Growth depends on being visible and on being described accurately. 46 percent of the companies that assessed their position in AI answers found it mixed or inaccurate (Agentcy). In Forrester’s research, 20 percent of buyers say inaccurate information from AI systems made them less confident in their decision.
Typical patterns include the wrong category, older product generations, missing markets or a close association with competitors you have little in common with. Each of these deviations can be traced back to the sources the AI relies on. The audit makes these sources visible and therefore correctable. This is how strong AI brand visibility emerges, one that reflects your positioning accurately.
Why does AI recommend our competitors?
AI systems trust independent sources. In May 2026, Muck Rack analyzed more than 25 million links from ChatGPT, Claude and Gemini answers: 84 percent of the cited sources are earned media, meaning trade press, research, associations and independent publications. Paid and advertorial content accounts for 0.3 percent. Journalism makes up 27 percent of the links, spread across more than 20,000 outlets, and more than half of the cited articles are less than twelve months old.
Companies that appear regularly in the trade media of their industry are mentioned more often by AI. The good news: this presence can be planned. The audit shows which media and websites have the greatest influence on AI answers in your industry and where your competitors are currently more visible.
How do we prove the impact of our PR in this new channel?
PR budgets need to hold their own with executive management and controlling. AI visibility opens a new, measurable perspective: the audit shows which of your publications AI uses as a source and which trade media are particularly effective for your category. Media relations thus become measurable in a channel that is growing in importance for supplier selection. Learn how we build PR for B2B companies on the page of our PR agency.
What the AI visibility audit delivers for you
Who the audit is designed for
How the GEO audit works: the Ruess Group AI Visibility Framework
Our audit follows the Ruess Group AI Visibility Framework with four phases: measure, understand, shape and steer. In the standard scope, we complete the eight steps of this AI search audit in three to five weeks. Your own time investment is around six hours for the kick-off, prompt set approval and results workshop.
Phase 1: Measure
1. Kick-off and briefing. We clarify goals, markets, languages, product and service areas, your buying group, the relevant competitors and your previous PR work.
2. Prompt set. We formulate the questions your buyers actually ask, along four question types: problem and trend, solution and technology, supplier selection, and direct brand questions. They are based on keyword data, sales questions and your industry knowledge. You approve the prompt set.
3. Measurement. We run every question several times in ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and Google AI Mode, for each language and market. This creates a reliable picture of your AI visibility that accounts for the natural variation of answers.
Phase 2: Understand
4. Analysis. For every answer, we record mentions, position, accuracy and sentiment, and calculate your AI share of voice against your competitors. This reveals patterns by question type, language and system.
5. GEO analysis of sources. We capture every domain and article the AI cites and match them against your media list: already covered, within reach or new to develop. The result is a source map of your industry.
Phase 3: Shape
6. Technical check. We assess how well AI systems can read your website: indexing in Google and Bing, access for AI crawlers, content in HTML, structured data, newsroom, consistent company data, Wikipedia and industry directories.
7. Roadmap. All findings flow into a plan for PR, content, website and reference sources, prioritized by impact and effort, covering the first 90 days and the following 12 months.
Phase 4: Steer
8. Results workshop. We present the findings, discuss priorities with your team and define the next steps. The AI visibility score forms the baseline for ongoing monitoring.
Scopes and timing of the AI visibility audit
Scope | Coverage | Duration |
|---|---|---|
Compact | One language, one market, 30 to 40 prompts, three competitors, four AI systems | 2 to 3 weeks |
Standard | English and German, 60 to 80 prompts per language, four to five competitors, five to six AI systems | 3 to 5 weeks |
International | Three or more languages or markets, competitors, source analysis and roadmap per market | 5 to 8 weeks |
The AI visibility score: measure, compare, report
Dimension | What we measure | Weight |
|---|---|---|
Presence | Share of questions whose answer mentions your company | 30 % |
Competitive position | AI share of voice and rank of the mention within the answer | 20 % |
Accuracy | Correct facts, category, services and markets | 15 % |
Source strength | Citations of your pages and earned media about your company | 15 % |
Sentiment | Share of positive and neutral descriptions | 10 % |
Technical readiness | How well AI systems can read your website | 10 % |
Tools for GEO analysis and AI citation tracking
After the audit: program and monitoring
The audit provides the baseline. If you wish, we implement the roadmap together with you and make progress visible at regular intervals.
B2B AI Visibility Program
The program bundles the measures that expand your AI visibility sustainably. Through targeted trade media PR, we place your company in the media that AI cites in your industry, always with online publication. We develop citable content: expert commentary on industry trends, proprietary data and surveys, customer case studies, and buyer guides. Research on generative engine optimization shows that statistics, expert quotes and source references significantly increase visibility in AI answers.
On your website, we put the technical foundations of generative engine optimization in place: content in HTML, structured data, a well-maintained newsroom and open access for AI crawlers. Reference sources such as industry directories, associations and consistent company data complete the picture and give AI a coherent view of your company.
AI visibility monitoring and AI citation tracking
In AI visibility monitoring, we repeat the measurement every quarter and report score, share of voice and citations. AI citation tracking shows which of your pages and which articles about your company AI systems cite, and how brand mentions in AI develop over time. This AI search monitoring covers all systems from the audit, and we can add individual topics, product lines or languages on request.
On timing: in the live search of AI systems, first effects often appear after six to twelve weeks. In the underlying knowledge of the models, changes take hold over six to twelve months, with each new model version. A continuous program builds this position step by step.
Why Ruess Group
FAQ
AI visibility audit and GEO audit
An AI visibility audit is a systematic measurement of how visible a company is in the answers of generative AI systems such as ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. It shows how the company is described, which competitors are recommended and which sources shape that picture. The result is a prioritized roadmap for PR, content and the website.
An SEO audit examines rankings and technical health for classic search. A GEO audit extends this view to the answers of AI systems: it measures mentions, positioning and the sources that AI models cite. Depending on the provider, the same service is called an AI search audit, AEO audit, AI SEO audit, LLM visibility audit or LLM audit. At Ruess Group, it is the B2B AI Visibility Audit, and it combines both perspectives.
The question of how to show up in ChatGPT starts with measurement. Single prompts give a first impression; a reliable picture requires many questions from your buyers’ perspective, several runs per question and a comparison with competitors, because AI answers vary. Based on this, we identify the sources and content that strengthen your ChatGPT visibility.
In the standard scope, we measure ChatGPT, Google Gemini, Perplexity, Microsoft Copilot, Google AI Overviews and Google AI Mode. We tailor the selection to your markets, since usage differs between countries.
The compact scope takes two to three weeks, the standard scope with English and German three to five weeks. For three or more markets, we plan five to eight weeks. Your own time investment is around six hours.
The score combines six dimensions into a value from 0 to 100: presence, competitive position, accuracy, source strength, sentiment and technical readiness. It makes your AI visibility comparable across markets, languages and quarters.
A major one. According to Muck Rack, 84 percent of the sources cited in AI answers are earned media, meaning trade press, research and independent publications. Systematic trade media PR is therefore one of the most effective levers to be mentioned and positioned correctly in AI answers.
In the live search of AI systems, first effects often appear after six to twelve weeks. In the underlying knowledge of the models, changes take hold over six to twelve months, with each new model version. Quarterly monitoring makes this progress visible.
We need your goals, markets and languages, your key product and service areas, three to five competitors and, if available, your media list and PR history. We take care of everything else and clarify the details together in the kick-off.
Your AI visibility audit with Ruess Group
Would you like to know how visible your company is in the answers of ChatGPT, Gemini and Perplexity, and which levers will drive your growth most effectively? In an initial conversation, we clarify your goals, markets and the right scope for your audit.