AI Search Visibility Report Template

An AI search visibility report should help a team decide what to do next.

It is not enough to say, "We appeared in 42 percent of answers." The report needs to show which questions matter, which competitors appeared, which sources were cited, and which actions should move visibility in the next Run.

Use this template after you run an AI search visibility baseline or recurring AI search monitoring workflow.

Report Header

Start with scope. Without scope, the numbers are easy to misread.

Include:

• Brand.
• Market.
• Language.
• Date range.
• Query count.
• Provider channels.
• Competitors tracked.
• Run owner.
• Link to raw evidence.

Example:

Executive Summary

The executive summary should fit on one screen.

Use five bullets:

• What improved.
• What declined.
• Which competitor appeared most often.
• Which source pattern mattered.
• What the team should do next.

Example:

AEO Table appeared in 18 of 32 tracked answers. Visibility was strongest in ChatGPT category prompts and weakest in Perplexity citation-heavy prompts. Two competitors appeared more often for comparison queries. The top action is to publish clearer comparison and reporting pages, then rerun the same Task next month.

Do not bury the decision under charts.

Scorecard

Use a scorecard only if the underlying fields are visible.

Recommended fields:

If you need the scoring logic, use the AEO metrics guide and the AI visibility score framework.

Channel Breakdown

Do not mix channels too early. Show them side by side.

The numbers are less important than the pattern. A team needs to know whether to update owned pages, build third-party proof, or improve query coverage.

For channel-specific interpretation, use the ChatGPT vs Perplexity vs Google AI Overview monitoring guide.

Query-Level Findings

Every report should include the highest-impact queries.

Use three groups:

Wins

Queries where your brand appears with useful framing and credible citations.

Gaps

Queries where your brand is absent, weakly framed, or unsupported by citations.

Watchlist

Queries where visibility is mixed, volatile, or dependent on a source you do not control.

Example:

Citation Evidence

Citations explain why an answer may have favored a page or competitor.

Classify cited sources:

• Owned.
• Competitor-owned.
• Review or directory.
• Analyst or media.
• Community.
• Documentation.
• Weak or outdated.

Then list the top recurring domains. A single citation may not matter. A recurring source pattern matters.

Google's structured data guidance can help clarify page meaning for search systems, but the report should still judge whether the page itself answers the buyer question.

Competitor Snapshot

Include the competitors that appeared most often and the prompts where they were strongest.

Then write the interpretation in plain language:

Competitor A is not winning because of one page. It appears across review lists and comparison articles. The content backlog should include both owned comparison pages and third-party listing work.

For the full workflow, use how to track competitors in AI search.

Recommended Actions

Every action should map to evidence.

Use this format:

Avoid generic actions such as "create more content." Name the page, query, and source gap.

Report Template

Copy this outline:

1. Scope and date.
2. Executive summary.
3. Scorecard.
4. Channel breakdown.
5. Query-level wins, gaps, and watchlist.
6. Citation evidence.
7. Competitor snapshot.
8. Recommended actions.
9. Next Run date.

The Bottom Line

An AI search visibility report is only useful if it preserves evidence and points to action.

Show the query set. Keep channels separate. Explain citations. Name the competitors. Then turn the findings into a prioritized backlog.

Run a repeatable AI search visibility report with AEO Table and keep each Run comparable over time.