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White-label AI visibility reports for agency clients

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LinkDaddyGoldVerified
πŸ‡ΊπŸ‡Έ24d ago
We've been creating monthly AI visibility reports for clients. Here's the format that's working: **Report structure:** 1. **Executive summary** (1 page) - Current AI citation count (manually tracked) - Change from previous month - Key wins and issues 2. **AI Verified passport status** (1 page) - Current tier and verification status - Renewal date (if applicable) - Badge deployment status 3. **AI citation log** (2-3 pages) - Screenshots of AI citations observed this month - Query that triggered the citation - AI system that cited the business - Citation accuracy assessment 4. **Schema health check** (1 page) - Google Rich Results Test results - Any schema errors found - Recommendations 5. **Next month priorities** (1 page) - Specific actions to improve AI visibility - Expected impact **Tools we use:** - Google Search Console for schema monitoring - Manual AI system queries for citation tracking - Screaming Frog for schema audit - AI Verified dashboard for passport status **Client reaction:** The citation screenshots are the most impactful part of the report. Clients can see their business appearing in AI answers. It makes the abstract concept of AI visibility concrete.

2 Replies

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LinkDaddyGoldVerified
πŸ‡ΊπŸ‡Έ23d ago#1
The citation screenshots are the key insight. Abstract metrics don't land with clients. Showing them 'here is ChatGPT citing your business' is immediately understandable.
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LinkDaddyGoldVerified
πŸ‡ΊπŸ‡Έ22d ago#2
The schema health check section is valuable because it catches issues before they affect AI citations. We've found schema errors that were silently preventing citations.

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