AI AUDIT™ evaluates how visible, understandable, verifiable, and trustable your business is from the perspective of AI systems. Six layers. One composite score. A ranked gap list. A prioritised action plan. Delivered in 24 hours.
Most businesses investing in digital presence have never asked the question that now determines whether a buyer finds them or their competitor: what does ChatGPT say when asked to recommend a business like mine?
The answer is almost always one of three things. Either AI cannot find the business at all. Or AI finds it but describes it incorrectly. Or AI finds it, describes it partially, but recommends a competitor instead — because that competitor has stronger authority signals.
AI AUDIT™ answers this question precisely, systematically, and verifiably. Not with an opinion. With a score.
Each layer is scored independently and combined into a composite AI Readiness Score. Weighting reflects the impact of each layer on AI recommendation probability.
Can AI correctly identify this business? Legal name, trading name, category, location, founding date, and legal identifiers — consistent across all sources and present in the knowledge graph.
Can AI accurately describe what this business sells? Services named, categorised, and described in machine-readable format. Each service mapped to a buyer intent with target client defined.
Can AI confirm claims from sources it did not generate itself? sameAs references active, certifications schema-marked, company registry data consistent with website data.
Are the 167 atomic AI signals deployed? Which are present, missing, inconsistent, or unverifiable? Is the signal layer served from the edge? Are AI crawlers permitted?
Does AI treat this business as a credible, authoritative source? External citations, case studies with schema markup, sector directory presence, cryptographic proof layer, third-party verification.
Does AI name this business when buyers ask for a recommendation? On which AI systems does it appear? For which queries? With what description accuracy? How does it compare to top competitors?
A composite number calculated from all six layers. Each band represents a distinct AI visibility and authority state.
AI cannot find the business or describes it incorrectly. Immediate action required across all six layers before any marketing investment will have AI visibility impact.
AI can find the business and partially describe it. Not yet recommendable. Competitors with higher scores will capture AI recommendations for shared target queries.
AI can find, understand, and verify the business. May still lack authority signals required for consistent recommendation. Focus shifts to TRUST LAYER™ and PROOF LAYER™.
AI names this business in recommendation responses for target buyer queries. Consistent across ChatGPT, Gemini, Claude, Copilot, and Perplexity. Verified by eu-ai-audit.eu.
Every identified gap is entered into the Gap Matrix — structured, ranked, and referenced to the product that closes it.
Unique identifier for tracking and cross-referencing across audit cycles.
Which of the six audit layers the gap belongs to.
How much closing this gap improves the overall AI Readiness Score.
Low, medium, or high implementation effort.
Which product or action closes this specific gap.
Current status of the gap — missing, inconsistent, or unverifiable.
Projected status once the gap is closed — present, consistent, and verified.
Exact projected improvement to AI Readiness Score if this gap is closed.
Impact divided by effort — highest value gaps surfaced first.
gap-matrix.json consumed directly by AI READY™ and SIGNAL COMPILER™.
Every signal is assessed individually and tagged. The assessment file is consumed directly by AI SIGNALS™ for systematic deployment.
Signal exists, is correctly structured, and is accessible to AI systems.
Signal does not exist in any accessible location.
Signal exists but conflicts with data in another source.
Signal exists but cannot be confirmed from an external source.
Machine-readable composite score with dimensional breakdown, trend data, and benchmark comparison. Input for all downstream products.
Structured gap list ranked by impact score with effort estimates and fix references. Direct input for AI READY™ and SIGNAL COMPILER™.
Complete signal assessment ready for AI SIGNALS™ consumption. Every signal tagged with status, source, and confidence score.
Relative AI visibility positioning vs top three competitors. Score comparison, signal gap analysis, and opportunity identification.
Human-readable report with executive summary, six-layer findings, gap matrix, competitor benchmark, and prioritised action plan.
Submit domain, primary service category, target geography, and top three competitors. No website access required. No credentials. No login.
All six layers assessed automatically. Entity data retrieved from public sources. Signal files checked. Schema validated. External references cross-referenced. AI systems queried for recommendation frequency.
Every automated finding reviewed by a human analyst before the report is finalised. HITL checkpoint — no gap is reported without human confirmation.
Full output package — score, gap matrix, signal assessment, competitor benchmark, and audit report — delivered within 24 hours of submission.
Optional 30-minute debrief call. Analyst walks through findings, answers questions, and recommends highest-impact next actions.
That have never measured AI visibility and want to understand their current position before investing in implementation.
That want to understand whether that investment is translating into AI visibility. SEO and AI visibility are related but not the same.
That want to understand where competitors stand before deciding where to invest their own AI visibility budget.
That need a structured, measurable baseline to report to leadership. A score — not an opinion — that can be tracked over time.