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White-label AI visibility reports for agency clients
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LinkDaddyGoldVerified
πΊπΈ24d 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
πΊπΈ23d 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
πΊπΈ22d 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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