Understand visibility
See which approved customer questions were tested and whether the business appeared accurately.
Last updated: July 9, 2026
White-label AI visibility reporting lets a local SEO agency show, under its own brand, where a client appears in AI-generated answers, which competitors are recommended, and which sources influence the response.
It also explains what changed and what work should happen next. The best report is a decision document—not a gallery of screenshots.
Turn prompt tests, competitor findings, source gaps, completed work, and retests into a client narrative that supports recurring GEO delivery.
Visibility improved after priority evidence gaps were addressed.
Client outcomes
See which approved customer questions were tested and whether the business appeared accurately.
Identify which competitors were mentioned or recommended when the client was absent.
Review the citations and relevant sources visible alongside the answer.
Show what the agency completed during the reporting period.
Turn unresolved evidence gaps into owned, defensible next actions.
Branding makes the report recognizable. Defensible analysis makes it valuable. Connect observed outcomes to approved work and state uncertainty honestly.
GEO Catalyst connects prompt tracking, competitor and source evidence, action queues, client reports, white-label settings, exports, and retesting. Current plan-feature sources identify white-label reporting as a Pro feature.
Four-layer reporting model
Count and share across the stable prompt set.
Recommendation frequency and representative answer context.
Service, location, and attribute classifications.
Citations and relevant source observations without overstating causality.
Show who appears when the client does not and how often competitors earn recommendation language.
Connect every reviewed finding to completed, in-progress, blocked, or next work.
Do not call every mention a recommendation. Do not imply that a visible source caused the answer when the system does not establish causality. Use careful language such as “cited in the response,” “appeared alongside the answer,” or “a relevant source gap to investigate.”
Generated answers vary with prompt wording, context, location, provider, mode, and time. A credible report controls what it can:
Current source files establish OpenAI prompt runs and Google AI Overview checks through a DataForSEO adapter when configured. Agencies should not label a report “multi-engine” unless the named environments were actually tested.
Open with three or four sentences: where the client is strong, where the largest gap remains, what the agency completed, and what it recommends next. Avoid celebratory language based on one volatile response.
List the prompt count, prompt families, locations, covered answer environments, reporting period, and definitions. Note that generated answers are probabilistic and may differ between runs.
Show mention, recommendation, and accuracy trends across the stable prompt set. If the prompt set changed, label the change so the client does not compare unlike samples.
Identify the competitors that appear most often, the prompt families where they lead, and the differentiators or source patterns worth investigating. A competitor chart should lead to a decision, not anxiety.
Show cited sources where citations are available. Also show high-priority source gaps: missing profile consistency, weak service/location corroboration, thin first-party explanations, limited reviews, or an absent third-party source that repeatedly supports competitors.
Connect each completed task to the finding that prompted it. For example: “Updated emergency plumbing page to clarify 24-hour service area after five urgency prompts returned incomplete descriptions.” This proves execution without claiming that one page change caused a later answer.
End with a short, prioritized list. Give each action a reason, owner, status, and expected review point. The next-action queue is what turns a report into a retainer management tool.
Inspect the deliverableSee a sample report→Regional Roofing Company — June 2026 AI visibility summary
The client appeared in 11 of 25 tracked buyer prompts and was recommended in 6. The strongest coverage remained branded and roof-repair questions; storm-damage and financing prompts produced the largest competitor gap. This month the agency clarified service-area content, aligned financing language across two owned pages, and corrected one inconsistent profile. Next month’s priority is to strengthen storm-damage evidence and retest the unchanged prompt set. These outcomes are directional trend measurements, not guaranteed placements.
The generic label protects client confidentiality in demonstrations. Agencies should use real client facts only within authorized reports.
A useful white-label setup should support:
Do not remove the underlying methodology in pursuit of a cleaner design. A branded score without definitions is harder to defend in a client meeting.
See the product workflowExplore white-label reporting→AI Visibility Report
July 2026The report becomes commercially useful when findings map to work the agency already understands.
| AI visibility finding | Possible local SEO or GEO action |
|---|---|
| Wrong service or location description | Align owned page facts, profiles, internal links, and visible schema |
| Competitor dominates review-oriented prompts | Analyze review themes and improve the compliant review strategy |
| Third-party directory repeatedly supports competitors | Verify client inclusion, category accuracy, and profile completeness |
| Service question returns no strong local recommendation | Improve the service/location page and strengthen corroborating sources |
| Business is mentioned but rarely recommended | Review differentiation, reputation evidence, and buyer-fit explanations |
| Citation appears but contains outdated facts | Correct the source where possible and align canonical facts elsewhere |
A report should not automatically prescribe content for every gap. Some problems are entity inconsistency, weak third-party evidence, incomplete profiles, reputation context, or unsupported claims.
A small report can expose one meaningful gap without overwhelming a prospect. Keep it narrow and avoid presenting the sample as a full audit.
Use the GEO audit template to establish the prompt set, competitor context, source observations, and action queue. The baseline creates the reference point for future reports.
Monthly or quarterly reporting should pair trend data with completed actions and the next plan. The GEO retainer pricing guide helps budget the interpretation, account review, presentation, and revision time that reporting requires.
Agencies can add one AI visibility slide to an existing local SEO review. If the gap produces three to five credible actions, the report becomes a natural bridge to the service described in how to sell GEO services.
Turn reporting into revenueEstimate the retainer scope→Also avoid comparing periods when prompt sets, locations, or answer environments changed without a clear note. Consistency is more useful than decorative precision.
Pre-delivery review
✓Approved prompt set confirmed
✓Tested environments named
✓Reporting dates and scope visible
✓Mentions and recommendations separated
✓Competitors match the evidence
✓Citations do not imply causality
✓Client and agency names correct
✓Confidential information handled appropriately
✓Completed work matches the work log
✓Next actions have owners and priorities
✓No unsupported guarantees
✓Exported links and files open correctly
✓Final report is readable at normal size
Frequently asked questions
White-label AI visibility reporting is an agency-branded way to show a client’s mentions, recommendations, description accuracy, competitor presence, source evidence, completed work, and next actions across a defined prompt set.
It should include scope and methodology, prompt families, mention and recommendation trends, description accuracy, competitor context, citations or source observations, completed work, caveats, and a prioritized action queue.
Monthly reporting fits active retainers with recurring work, while quarterly reporting may suit monitoring-only clients or slower implementation cycles. Choose a cadence that allows meaningful work and retesting rather than manufacturing updates.
No. A report measures observed outcomes and documents work; it cannot guarantee a ranking, mention, recommendation, citation, or fixed placement. Generated answers vary, so reports should emphasize repeated measurements and longer trend lines.
A ranking report records positions for keywords and URLs. An AI visibility report records whether an entity is mentioned or recommended, how it is described, which competitors appear, what sources are cited or relevant, and what actions follow from those findings.
Yes. Current GEO Catalyst plan-feature sources identify white-label reporting as a Pro feature. Product surfaces also include client reports, PDF/export/share workflows, white-label settings, action queues, and retesting; plan details should be rechecked before publication.
Start with a baseline audit, define the prompt set, and price the recurring interpretation and execution before promising a reporting cadence.
This reporting layer belongs inside the end-to-end workflow described in GEO for local SEO agencies.
Visibility improved after priority service proof and source gaps were addressed.