Agency reporting
AI Visibility Reporting for Agencies
Give clients clearer reporting for AI visibility work with scan-driven summaries, priorities, fix-ready outputs, and re-scan validation.
The strongest reporting story in Gemmetric is simple: show what the scan found, explain which signals are limiting visibility, connect those findings to deliverable fixes, and come back after implementation with a validation loop.
Report anatomy
What a strong agency report should cover
A useful report helps a client understand the current state, the strongest constraints, the next actions, and what will be checked again after implementation. That is the core anatomy.
Section 1
Score summary
Summarize AI Visibility, GEO, GEM, scan outcome, and the overall situation so clients know where performance stands today.
Section 2
Priority findings
Highlight the most important blockers, caps, and missing signals instead of burying them inside a generic dashboard recap.
Section 3
Fix-ready outputs
Connect the report to deployable schema, metadata, copy, and FAQ recommendations where those outputs apply.
Section 4
Validation loop
Frame reporting as a before-and-after review cycle built on re-scan validation rather than a one-time presentation artifact.
What agencies can bring into the client review room
Scan-driven summaries
AI Visibility, GEO, GEM, situation overview, and current scan outcome in a format clients can follow.
Priorities and deployables
Top priorities, fix packs, and deployable outputs such as schema, metadata, copy, and FAQs where supported by the scan.
Client-ready outputs
PDF-ready summaries and reporting outputs that support review calls and follow-up communication.
A conservative reporting guardrail
The safest public claim is agency-ready, client-facing reporting. Avoid stronger white-label promises unless they are separately verified in product and pricing copy.
Client review flow
How agencies use the report in review cycles
Use score summaries to establish current visibility context quickly.
Walk through top priorities and explain why they matter before debating tactics.
Translate findings into concrete implementation follow-up for the next work cycle.
Come back after changes with a re-scan to show what moved and what still needs attention.