AEO results are easy to do and hard to report — there’s often no click to point to. This template gives you a clean, repeatable structure for reporting AI visibility to executives or clients, so the work gets understood, valued, and funded. Adapt the sections to your audience and cadence (monthly works for most teams).
1. Executive summary (the “so what”)
Three to five sentences, no jargon. Lead with the trend and the business implication:
This month, our AI visibility score rose from 42 to 51, and our share of voice in [category] grew from 18% to 24% — overtaking [Competitor]. We now appear in 7 of 10 priority buying queries, up from 4.
2. Headline metrics (with trend)
Always show the prior period and the change, not just the current number:
| Metric | Last period | This period | Change |
|---|---|---|---|
| Visibility score | 42 | 51 | +9 |
| Impression / mention rate | 40% | 58% | +18pts |
| Share of voice (category) | 18% | 24% | +6pts |
| Citation rate | 12% | 19% | +7pts |
| Avg. mention position | Listed | Prominent | ↑ |
| Sentiment (positive) | 78% | 83% | +5pts |
| Accuracy rate | 90% | 96% | +6pts |
See AI search metrics terminology for definitions to footnote.
3. Per-engine breakdown
A single aggregate hides the story. Show visibility by engine, since the root cause and fix differ per engine:
| Engine | Mention rate | Position | Notes |
|---|---|---|---|
| ChatGPT | 60% | Prominent | Training presence improving |
| Perplexity | 70% | First | New citations from 3 pages |
| Google AI Overviews | 45% | Listed | Schema work in progress |
| Claude | 40% | Listed | Thin coverage on [topic] |
4. Wins & what drove them
Connect movement to specific actions, so results read as cause-and-effect, not luck:
- Published 4 comparison pages → +3 priority-query appearances
- Fixed
robots.txtblocking PerplexityBot → citation rate +7pts - Corrected pricing across the site → accuracy rate +6pts
5. Gaps & next actions
- Brand safety: [any inaccuracies, with remediation status]
- Top opportunity: [highest-impact gap and the planned fix]
- Next period focus: [2–3 prioritized actions]
6. ROI / business impact
Tie visibility to outcomes leadership cares about — branded-search lift, referral traffic from cited pages, and pipeline influence. See measuring GEO/AEO ROI.
Reporting tips
- Lead with the trend, not the snapshot. A rising line tells the story.
- Always include competitors. Share of voice is relative; context makes numbers meaningful.
- Footnote definitions so non-specialists trust the metrics.
- Keep it one page for executives; attach detail as an appendix.
Frequently Asked Questions
What metrics should an AI visibility report include?
Include a visibility score, mention/impression rate, share of voice, citation rate, average mention position, sentiment, and accuracy — each with the prior period and the change — plus a per-engine breakdown and a link to business outcomes.
How do I report AEO results when there’s no click?
Report visibility metrics (mentions, position, citations, share of voice) as trends over time, then connect them to downstream signals like branded-search lift, referral traffic from cited pages, and pipeline influence. The trend and competitive context carry the story.
How often should I report AI visibility?
Monthly works for most teams, matching a monthly audit cadence. Use biweekly spot checks for fast-moving priority queries, and report event-driven changes after launches or major press.
Why include a per-engine breakdown?
Because a single aggregate score hides where you’re winning and losing. Each engine sources answers differently, so per-engine results reveal whether a gap is a retrieval problem or a training-data problem — and where to focus next.