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Posted on Originally published at entityrise.ai

Reporting AI visibility to your board: metrics that mean something

By Kamil Kępiński, founder of EntityRise

Four AI visibility metrics that survive board scrutiny - recommendation rate, description accuracy, citations, before/after delta - and what to refuse.

AI visibility earns a budget line only when it reports like one - and most of what gets reported today is noise: single screenshots, one blended score, unverifiable "share of AI" claims. Four metrics survive board scrutiny: recommendation rate on real buyer questions, description accuracy, citation presence in the sources AI engines use, and the before/after delta on identical questions. Each is measurable, repeatable and honest about its own confidence.

The four numbers worth reporting

Recommendation rate.Of your priority buyer questions, in what share of repeated runs across providers are you absent, mentioned or recommended - reported per funnel stage, because a strong shortlist rate with weak validation answers is a different problem than the reverse.

Description accuracy.When AI systems describe you, how often are the category, claims and facts right? Wrong descriptions convert worse than absence, and this number moves fastest after entity and markup fixes - an early proof point for the programme.

Citation presence.Of the sources AI engines actually cite for your category questions, how many mention you accurately? This is the leading indicator for live-search visibility.

Before/after delta.The same questions, same providers, remeasured after implementation. This is the only number that proves work happened - everything else is weather.

The numbers to refuse

Refuse one blended "AI score" with an opaque formula - it hides which system is failing and cannot survive a "what changed and why" question. Refuse single-run evidence - model answers vary between runs, so a screenshot proves availability of luck, not visibility. Refuse metrics without disclosed confidence - a serious report states how many runs completed, which provider tests failed and how much agreement supports each finding. If a vendor's reporting cannot answer these, the reporting is the product.

Reporting cadence and ownership

Quarterly reporting fits most B2B boards: long enough for implemented changes to reach live answers, short enough to catch drift - with monthly measurement underneath for the team running the work, because answers shift as models and sources change. Ownership belongs with whoever owns pipeline, not with a side-of-desk volunteer: the metrics above translate directly into shortlist presence, which translates into deals - which is the sentence that gets the budget approved.

Frequently asked questions

Can AI visibility be tied to revenue?

Directionally yes: shortlist presence on high-intent questions correlates with inbound quality, and validation-stage accuracy protects late-stage deals. Attribution is honest at the correlation level - anyone promising per-deal attribution from AI answers is overclaiming.

What is a good recommendation rate?

It depends on category competitiveness and question stage - which is why the meaningful benchmark is your own baseline, remeasured. Cross-company league tables mostly compare measurement setups, not companies.

How many questions and runs make a credible sample?

Enough repeated runs across several providers to see stability - as a reference point, an EntityRise audit records roughly 75 observations across ChatGPT, Claude, Gemini, Grok and Perplexity, with confidence labelled per finding.


About the author. Kamil Kępiński is the founder of Smophy Labs Inc., the company behind SmophyAI and EntityRise. Follow Kamil on X and LinkedIn.

About EntityRise. EntityRise, by Smophy Labs Inc., measures how ChatGPT, Claude, Gemini, Grok and Perplexity describe, cite and recommend your company, then implements the fixes: technical, content and authority work. Every audit asks 20 buyer questions across five AI providers, seals the question set with a SHA-256 hash and records the model versions, so every change is measured against evidence, not opinion. Start with the AI Visibility Audit for $49 and see how AI assistants present your brand to buyers today. Run your AI Visibility Audit.

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