White-Label AI Visibility Reports for SEO Agencies

The New Client Question Every SEO Agency Is Hearing

It starts as a casual question in a quarterly review: "Are we showing up in ChatGPT?" Then it becomes a standing agenda item. Then it becomes a deliverable clients expect every month alongside their traditional SEO report.

The agencies that are ahead of this curve — the ones that proactively bring AI visibility data to client relationships before clients ask — are the ones that look like experts right now. The agencies that are behind it are scrambling to find a credible answer.

This guide covers how SEO agencies can deliver white-label AI visibility reports to clients: what the reports contain, how to produce them efficiently, and how to position them as a service.

What a White-Label AI Visibility Report Contains

An effective AI visibility report for clients answers three core questions:

1. Where does the client's brand stand in AI search?

This is the Share of Voice headline: what percentage of AI responses to the client's target keywords include their brand, across ChatGPT, Perplexity, and Gemini. This number — expressed as a percentage per platform — is immediately intuitive to clients and becomes the benchmark for all future reports.

2. How does the client compare to competitors?

AI visibility data is most meaningful in competitive context. A client with 60% Share of Voice looks strong if competitors are at 20%. The same 60% is a problem if a competitor is at 85%. The competitive comparison section of the report shows the client exactly where they stand relative to their main competitors across the same keywords.

3. How does AI describe the client's brand?

Sentiment analysis answers this. When AI engines mention the client, are they framing the brand positively, neutrally, or negatively? What keywords and attributes are AI engines associating with the brand? This section often surfaces insights that clients find genuinely surprising — and that point directly to content or positioning work.

Why White-Label Matters for Agency Relationships

The white-label dimension isn't just about aesthetics. It's about the client relationship dynamic.

When a client receives a report with your agency's logo, colors, and company name on it, the data feels like your work — your analysis, your methodology, your expertise. That's the right dynamic for an agency relationship. The tool is infrastructure; the insight is what you're selling.

When a client receives a report with a third-party tool's branding on it, two things happen: the value attribution shifts away from your agency, and the client becomes aware of the tool — and may wonder why they need you to run it for them.

White-label reporting keeps the value where it belongs: with the agency delivering the insight.

How to Produce White-Label AI Visibility Reports with TrackAIMentions

The workflow is straightforward:

1. Set up your agency branding: In Settings, upload your agency logo, set your brand color, and enter your company name. This takes about two minutes and applies to all reports going forward.
2. Create a report for the client: Enter the client's brand name, their main competitors (up to three), and the keywords you want to track — the queries their target customers are most likely to ask AI search engines. Hit generate.
3. Review the results: Within 60 seconds, you have Share of Voice data across ChatGPT, Perplexity, and Gemini, sentiment scores, and a competitive comparison. Review the data and note the key insights before exporting.
4. Export the white-label PDF: Export the report as a PDF. The document carries your agency's logo and branding — not TrackAIMentions' branding. It's ready to send to the client or include in a broader deliverable.
5. Add your commentary: The best agency deliverables pair data with interpretation. Add a brief narrative — what the data means, what changed since the last report, and what you recommend doing about it. This is where your agency's expertise creates value that the tool alone can't replicate.

How to Price AI Visibility Reporting

AI visibility reporting is new enough that pricing norms haven't fully settled, which means there's pricing power for agencies that position it well. A few approaches that work:

Standalone monthly report: A dedicated AI visibility monitoring service, delivered monthly. Typical pricing: $150-300/month per brand, depending on the number of keywords and competitors tracked. At $29-79/month for TrackAIMentions credits, the margin is healthy.

Retainer add-on: Add AI visibility monitoring to existing SEO retainers at $100-200/month. Frame it as extending your existing brand visibility service into AI search channels. Most clients will view this as a natural evolution rather than a separate purchase decision.

Quarterly brand audit component: Include AI visibility as a section of a broader quarterly brand health audit. Position it alongside traditional SEO metrics, social listening data, and review site performance. Charge $500-2,000 for the full audit depending on scope.

New client onboarding deliverable: Run an AI visibility baseline report as part of your new client onboarding process. This establishes a benchmark from day one and positions your agency as thinking ahead. You can include the cost in onboarding fees or offer it as a value-add to close deals.

The Client Conversation Around AI Visibility

Introducing AI visibility data to clients is most effective when you frame it as expanding the definition of brand visibility — not replacing existing metrics.

A useful framing: "We've always tracked how your brand appears in Google search. Now we're also tracking how AI search engines describe your brand when potential customers ask for recommendations. Here's what we found."

This framing does several things: it connects AI visibility to something clients already understand (search presence), it positions your agency as proactively expanding scope, and it frames the data as genuinely new information — which it is.

The competitive comparison data is often the most immediately impactful for clients. Showing a client that a competitor has 75% Share of Voice in Perplexity responses while they have 20% is the kind of concrete competitive intelligence that motivates action and budget.

Which Agencies Should Offer AI Visibility Reporting

AI visibility reporting is most valuable for agencies working with:

• B2B SaaS clients: This is where AI search influence on purchase decisions is highest. Enterprise software buyers routinely use AI search for vendor research and comparison.
• Professional services clients: Law firms, consulting practices, financial services — categories where buyers use AI to shortlist providers.
• Ecommerce brands in considered purchase categories: Higher-priced products where buyers research before purchasing through AI search.
• Any client in a competitive category: Where knowing your competitive AI Share of Voice is actionable intelligence, not just interesting data.

The agencies that will benefit most are those that move first — while AI visibility reporting is still novel enough to differentiate, before it becomes a table-stakes expectation.

Bottom Line

White-label AI visibility reporting is a concrete, deliverable service that SEO agencies can offer today. The tools exist, the client demand is growing, and the margin structure is favorable.

The agencies building this capability now — establishing workflows, pricing it appropriately, and delivering it consistently — will be the ones clients think of as the experts when AI search visibility becomes a standard part of every brand's measurement stack.

Ready to get started? Start a free trial with 2 credits included — run your first AI visibility report in under two minutes and see what white-label export looks like with your agency's branding. No credit card required.

Related reading: Best AI Visibility Tools for SEO Agencies →  ·  How to Track Your Brand in AI Search →  ·  What is Generative Engine Optimization (GEO)? →