AI Visibility Reporting for Clients

## Overview Effective AI visibility reporting demonstrates concrete value to clients and provides the evidence base for retaining and expanding AI visibility engagements. This guide covers what to measure, how to present results, and how to use AI Verified's reporting tools. ## What to Measure **AI citation frequency:** How often does the client appear in AI-generated answers to relevant queries? Track this monthly by running a standard set of queries across ChatGPT, Perplexity, and Google AI Overviews. **Citation accuracy:** When the client is cited, how accurately is the information presented? Track the percentage of citations that are fully accurate, partially accurate, and inaccurate. **Verification status:** Is the client's AI Verified passport active and up to date? Has the tier changed? **Structured data health:** Is the Organisation JSON-LD valid and complete? Has anything changed on the website that might have broken the schema? **llms.txt status:** Is the llms.txt file present, accessible, and up to date? ## Monthly Report Structure A monthly AI visibility report should include: 1. **Executive summary:** One paragraph summarising the month's key findings and any changes from the previous month. 2. **AI citation scorecard:** A table showing citation frequency and accuracy across the three major AI systems. 3. **Technical health check:** Traffic-light status for structured data, llms.txt, and AI Verified passport. 4. **Trend analysis:** Month-on-month comparison of citation frequency and accuracy. 5. **Recommendations:** Any actions required to maintain or improve AI visibility. ## Using AI Verified's Reporting Tools AI Verified's agency dashboard provides: - Verification status for all registered clients - Tier and upgrade recommendations - Passport health indicators Combine this data with your manual AI citation checks to produce a comprehensive monthly report. ## Demonstrating Value The most effective way to demonstrate the value of AI visibility services is to show the before-and-after comparison from the initial audit. If the client was not appearing in AI-generated answers before registration and is now appearing regularly, this is a clear, concrete demonstration of value. For clients who were already appearing in AI answers, focus on accuracy improvements and the risk mitigation value of having a verified, tamper-evident identity record. ## See Also - [How to Audit Client AI Visibility](/wiki/how-to-audit-client-ai-visibility) - [AI Verified for Digital Agencies](/wiki/ai-verified-for-digital-agencies)