GEO Analytics & Reporting

GEO Analytics and Reporting turns AI visibility into numbers a leadership team can act on. It consolidates mention rate, citation share, recommendation rate, and sentiment across every major AI assistant into one view, and connects those movements to the work that caused them and the pipeline they influence.

The reporting stack

Three layers. The measurement layer captures AI responses on a fixed prompt panel and codes them consistently. The attribution layer links movements to interventions — a schema fix, a new comparison page, an earned citation — so that reporting explains cause rather than only reporting change. The executive layer condenses everything into a small set of metrics leadership can hold a team accountable to, with competitor curves alongside your own.

Metrics that survive scrutiny

We deliberately avoid composite vanity scores. The headline metrics are share of AI voice, citation share, recommendation rate on shortlist prompts, and answer accuracy. Each has a defined method, a fixed prompt panel, and a stated variance range, because AI responses are non-deterministic and a report that hides that loses credibility the first time someone re-runs a prompt by hand and sees a different answer.

Integration with existing analytics

Where the data exists, we connect AI visibility to referral and self-reported attribution data already in your stack, so AI-influenced pipeline can be discussed with the same seriousness as paid or organic. We also provide the raw response logs — you keep the underlying evidence, not just the dashboard.

Ready to see where geo analytics & reporting would move the needle?

Start with a GEO Audit scoped to your category, prompts, and competitive set.