AI search visibility audit and 90-day GEO roadmap.
We measure how ChatGPT, Claude, Gemini, Perplexity and other LLMs describe your brand today, diagnose what is holding visibility back across owned and external surfaces, and hand you a prioritised generative engine optimisation roadmap your team can actually execute. Built on our in-house AI monitoring platform and senior specialists, not an automated report.
Buyers now build shortlists inside ChatGPT and Claude before they ever land on your website. Most brands have no read on whether they are in those shortlists, no diagnosis of why they are not, and no roadmap for changing it.
Answer engine optimization and generative engine optimisation run on signals that traditional SEO audits do not measure. Page rankings, backlink profiles and Core Web Vitals tell you almost nothing about whether ChatGPT will mention you in a recommendation, how Claude will describe your category, or which competitor Perplexity will cite ahead of you. AI search visibility is shaped by a different mix entirely: how clearly your brand is positioned across owned content, how often your name appears in citable third-party sources, how consistent your entity signals are, and how your category and competitive set are framed by the language models themselves.
The AI Search Visibility Audit gives you a clear, evidenced picture of where your brand stands today, how your competitive set looks through the eyes of LLMs, and which generative engine optimisation moves will shift visibility fastest in your category.
What does the AI search visibility audit cover?
The audit runs across four layers and each one answers a question you cannot reliably answer from inside the business.
How visible is your brand in AI search today?
We measure how often your company, products and expertise appear in answers generated by ChatGPT, Claude, Gemini, Perplexity and other LLMs, across the queries your buyers actually run. The output tells you whether AI mentions your brand at all, how it describes you when it does, which topics and prompts trigger mentions, where competitors are surfaced in your place, and which segments of your audience never see you in their AI conversations.
This is the baseline every other layer of the audit is interpreted against.
Is your website built for AI systems to read?
Knowing your own position is half the picture. We analyse how the competitors who actually matter in your category are represented in AI answers, which sources LLMs cite when recommending them, where they have built advantages you have not, and which visibility gaps you can take ground on. Competitive set accuracy is the second layer of this analysis: AI often groups brands into the wrong comparison context, and correcting that grouping is one of the higher-leverage moves in any GEO programme.
How do you compare against competitors in AI search?
Knowing your own position is half the picture. We analyse how the competitors who actually matter in your category are represented in AI answers, which sources LLMs cite when recommending them, where they have built advantages you have not, and which visibility gaps you can take ground on. Competitive set accuracy is the second layer of this analysis: AI often groups brands into the wrong comparison context, and correcting that grouping is one of the higher-leverage moves in any GEO programme.
How does your audience actually use AI search?
AI search behaviour does not mirror Google search behaviour. Prompts are longer, more conversational, more outcome-driven and far more varied. We map how your buyers ask questions inside LLMs, which problems they are framing, which language they use, which sources influence the recommendations they see, and how their decision journeys are changing in the AI era. This keeps the audit grounded in real buyer behaviour rather than a generic prompt set.
What do you walk away with?
The audit deliverable is a structured roadmap, prioritised so your team knows what to do first, what can wait, and what will compound over time.
Priority 1
Critical must-haves.
The foundational signals that are blocking visibility right now. These usually cover category positioning gaps, entity signal inconsistencies, schema and technical AEO basics, and the owned-surface fixes without which nothing else compounds. They are the highest-leverage actions in the roadmap and the ones we recommend addressing first.
Priority 2
Quick wins.
Higher-impact actions that can be implemented quickly and start moving visibility within the first four to eight weeks. These typically include content format diversification, FAQ and comparison page builds, schema additions, llms.txt setup, profile updates across the third-party platforms LLMs cite from, and the targeted external mentions that close specific visibility gaps.
Priority 3
Regulatory and trust signals.
The mid- and longer-term programme that gets you to consistent AI search presence. This layer covers content strategy and editorial direction, authority signal building, external visibility and PR opportunities, competitive positioning improvements, monitoring cadence and the dynamics tracking that tells you whether the work is moving the metrics that matter.
Each priority comes with concrete actions, owners, expected timelines and the visibility signals each action is meant to shift, so the roadmap is implementation-ready from the moment it lands.
How is this different from an automated GEO report?
Most GEO audits in the market today are generated almost entirely by AI. A platform scrapes some prompts, scores visibility, lists generic recommendations, and outputs a PDF. The reports look the part. The recommendations rarely connect to the specific dynamics of your category, the actual competitors you lose deals to, or the buying journey your audience runs.
Our approach pairs a proprietary monitoring platform with senior specialists who interpret the data. The platform handles the volume: prompt-level tracking, share-of-voice measurement, source and citation analysis, competitor benchmarking and dynamics over time, configurable around your category and ICP. The specialists handle the judgement: which signals actually matter for your business, which actions will move them fastest, and which third-party sources are worth investing in given how your category is cited.
The output is a roadmap shaped by people who have worked on AEO and GEO long enough to know which patterns repeat across categories and which are unique to yours.
Why work with us?
15+ years of SEO foundation.
Deep experience across the search signals that AEO and GEO build on top of, applied across industries and across both DACH and English-language markets. We know which SEO fundamentals carry over into AI search and which ones do not.
18+ years of marketing expertise.
Audience behaviour, positioning and buyer decision-making sit at the centre of how we build GEO roadmaps. AI search visibility that is not connected to how buyers actually decide does not convert to pipeline, and marketing strategy is what keeps the two connected.
Proprietary monitoring platform.
Custom prompt libraries, configurable metrics, adjustable competitor lists and full setup support, all tailored to your category, your ICP and the queries your buyers actually run. We built it in-house and configure it around each client from step zero.
Senior specialists end to end.
Every audit is run, interpreted and presented by experienced AEO and GEO specialists. No automated reports, no generic recommendations list. The platform handles the data volume, and people decide what it means for your specific business and category.
Execute with your team or with our support, depending on your internal capabilities.
How does the engagement work?
The audit runs as a structured five-step engagement.
5 STEPS
Discovery call (free, 30 minutes).
We use the discovery call to understand your business goals, identify your target audiences and segments, surface the visibility challenges you are already aware of, and align on priorities and what success looks like.
Estimated effort: 0.5 hours.
1
AI visibility assessment.
Initial analysis and data collection, covering the website review, AI search presence assessment, AEO readiness evaluation, an initial competitor review and the monitoring setup the rest of the audit runs on.
Estimated effort: 6 to 8 hours.
2
Deep-dive analysis.
Advanced AI visibility analysis at the prompt level, audience behaviour assessment, source and citation analysis, competitor benchmarking across the LLMs your buyers use and gap identification.
Estimated effort: 8-12 hours.
3
Findings workshop (30 minutes).
A working session to walk through the findings, present the roadmap, answer questions and discuss execution options, including whether your team runs the work, our team runs it, or a blend of both.
Estimated effort: 0.5 hours.
5
Roadmap development.
The full roadmap, structured across must-haves, quick wins and strategic moves, with a prioritised implementation plan and the success metrics and monitoring cadence that will tell you whether it is working.
Estimated effort: 8-12 hours.
4
Findings workshop (30 minutes)
A working session to walk through the findings, present the roadmap, answer questions and discuss execution options, including whether your team runs the work, our team runs it, or a blend of both.
Estimated effort: 0.5 hours.
5
Total estimated effort: 18 to 27 consulting hours.
Final pricing depends on website size, number of products or services, number of competitors analysed, geographic scope, monitoring requirements and any custom reporting needs. Contact us for a tailored proposal.