Executives do not want a dashboard. They want to know whether AI visibility went up, why, and what it cost. A good quarterly GEO report answers that with three numbers.
Share of voice
The simplest signal: across your key prompts, what fraction of answers name you? Track it as a trend, not a point. A flat line is a warning; a rising line is the story.
Lift per action
Visibility is only valuable when you can tie it to work. Attribute each point of lift to a specific deployed change — a published fix, an experiment that won. This is what separates a report from a vanity chart.
A real quarter reads like a ledger:
- +6pp — added verifiable claims to the pricing page (control vs treatment, n=200).
- +9pp — closed three coverage gaps competitors owned.
- +7pp — refreshed 14 stale sources the engines had stopped trusting.
Confidence
Every claim of lift should carry a confidence interval from a treatment-vs-control test. If the number cannot survive scrutiny, it should not reach the board.
| Metric | Q1 | Q2 | Δ | Confidence |
|---|---|---|---|---|
| Share of voice | 41% | 63% | +22pp | 94% |
| Avg. citations / answer | 1.8 | 2.6 | +0.8 | 91% |
| Competitor X lead | +18pp | +4pp | −14pp | 90% |
How to defend the report
When someone asks “how do we know this is real?”, the answer is the method: real answers from real engines, measured before and after, with the source answer linked. Proof, not opinion.
A report nobody trusts is worse than no report. Attribution is what makes it credible.
That is the standard every GoGoChart GEO report is built to meet — board-ready, with the evidence attached.