AI Visibility Report Template
A monthly reporting template to communicate AI visibility progress and insights to stakeholders.
About this template
This template provides a structured monthly report format that covers the key metrics, trends, and insights stakeholders need. It includes sections for executive summary, engine-by-engine performance, competitive positioning, content impact analysis, and recommended next steps.
The template is designed to tell a story — starting with the headline metrics that matter most, then drilling into the details that explain why those metrics moved. Use it to build ongoing support for your AEO initiatives and secure the resources needed for sustained improvement.
Executive Summary Section
- 1
Overall Share of Model trend (up, down, flat)
Lead with the single most important metric — is your brand becoming more or less visible to AI engines?
- 2
Month-over-month change in key metrics
Show SoM, citation rate, and competitor gap changes as percentages for quick executive scan.
- 3
Top 3 wins and top 3 concerns
Highlight the biggest positive movements and the areas requiring attention in bullet-point format.
- 4
Resource and budget implications
If results indicate a need for more investment or a shift in approach, flag it early in the report.
Engine Performance Breakdown
- 1
Share of Model per engine with trend arrows
Show SoM for ChatGPT, Perplexity, Gemini, Claude, and other monitored engines with directional indicators.
- 2
Citation rate per engine
Track what percentage of mentions include an actual link or source attribution to your content.
- 3
Engine-specific observations and anomalies
Note any engine-specific behaviours — model updates, new features, or unusual response patterns.
- 4
Cross-engine comparison chart
Visualise your performance across all engines side-by-side to identify strengths and weaknesses.
- 5
Query coverage per engine
Show how many of your bank queries resulted in a mention on each engine.
Competitive Intelligence
- 1
Competitor SoM comparison table
Show your SoM against top competitors for each engine and query category.
- 2
Competitor movement and trends
Highlight competitors who gained or lost significant visibility — and the likely reasons.
- 3
Competitive gap analysis
Identify query categories where competitors dominate and you are underrepresented.
- 4
New competitor detection
Flag any brands that appeared in AI responses for the first time this month.
Content & Technical Impact
- 1
Top-performing pages by citation count
Show which pages are driving the most AI engine citations this month.
- 2
Content changes and their measured impact
Connect specific content updates to changes in citation rates for those pages.
- 3
Technical audit status and fixes deployed
Report on schema, robots.txt, llms.txt, and other technical improvements made.
- 4
New content published and initial AI performance
Track how quickly new content is picked up and cited by AI engines.
Next Month Recommendations
- 1
Priority content targets for the coming month
Identify the highest-opportunity queries and recommend content to target them.
- 2
Technical improvements to implement
List any outstanding technical fixes or enhancements from the latest audit.
- 3
Query bank updates recommended
Suggest additions or removals to the query bank based on this month's insights.
- 4
Resource allocation suggestions
Recommend how to allocate team time across content, technical, and monitoring activities.
AI Visibility Report Template FAQ
Key concepts
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