ChatGPT recommends your competitors.
Your score tells you why.

AI models like ChatGPT decide which brands to recommend based on four primary signals: (1) how often and how clearly your brand is mentioned on high-trust third-party sources (review sites, industry publications, Reddit, Wikipedia), (2) how well your own site's content is structured for extraction — clear entity definitions, FAQ format, schema markup, (3) entity recognition — whether AI training data associates your brand name with your category clearly, and (4) citation density — how many authoritative list posts name you. A near-zero correlation exists between Google organic rankings and AI citation frequency; traditional SEO doesn't solve this.

Brands referenced as sources within AI Overviews see a 35% boost in click-through rates — becoming an AI Overviews source is a better outcome than ranking #1 without citation. An AI visibility audit identifies exactly which of your pages are structurally eligible to be cited (passage length, schema, question-answer format) vs. pages that look good in Google but won't survive an AI layer stripping away the need to click.

An AI visibility score is a composite metric measuring how consistently your brand appears across structured queries on the major AI engines. Ours is built from four components: citation rate (what % of relevant queries mention your brand), share of voice (your mentions vs. top 3 competitors), recommendation position (does AI recommend you 1st, 2nd, 3rd?), and factual fidelity (does AI describe your brand correctly when it does appear). Our CRM leaderboard study (60 queries, 20 brands) found scores ranging from 80.8 (HubSpot) to 0 (4 brands) — using the same methodology we apply to your audit.

Same diagnostic, different entry point. The AI visibility audit is framed around the question 'why aren't we in AI results?' — it focuses on the diagnosis story and the score methodology. The GEO audit is framed around the deliverable: the structured action plan. Both pages describe the same Discovery Audit product at €497. Choose the framing that matches how your team thinks about the problem.

The free check is automated: crawler access, basic schema detection, llms.txt status, and 5 sample queries. It takes 60 seconds and tells you if you have obvious blockers. The paid audit runs 40–60 curated queries across your specific category, benchmarks your citation rate against your top 3 competitors, detects hallucinations AI models are spreading about your brand, and produces a 10–20 item ranked action plan. Different products; the free check is a screening tool, the audit is the diagnosis.

ChatGPT (GPT-4o), Perplexity (Sonar), Google Gemini, and Google AI Overviews. These four account for the large majority of AI-referred traffic. Claude is included when queries are relevant to your category.

Schema changes and technical fixes (crawler access, entity disambiguation) typically reflect in AI answers within 2–6 weeks as models update their web-grounding indices. Content and third-party citation changes take longer — 6–12 weeks for meaningful movement in training-data-dependent answers. We don't manufacture false urgency: AI visibility is a compound asset built over months, not a switch you flip overnight.