White-Label AI Visibility Reports: The Agency Playbook

White-label AI visibility reporting lets an agency track whether ChatGPT, Claude, Gemini and Perplexity recommend each of its clients — and hand the results to those clients under the agency’s own name, not a vendor’s. Here’s what that actually needs to include, how it works in Surfaced, and how to launch it.

Why agencies are adding AI visibility as a service line

Buyers are increasingly asking an AI assistant for a recommendation before — or instead of — running a Google search. That’s a new, largely unmeasured channel for most local and service businesses, and most agencies already own the relationship where this naturally fits: they’re already reporting on search performance monthly. AI visibility is a logical extension of that report, not a new client relationship to build from scratch.

What “white-label” actually needs to mean

Plenty of tools call themselves white-label and mean “you can change your login screen logo.” For a report that’s actually going in front of a client, it needs more:

• Your logo, colour and company name on the report itself — not just the app shell.
• The same branding carried into report emails, since that’s often the only part a client actually opens.
• No vendor branding anywhere the client can see it.
• Unlimited clients under one login, each with its own scoring and prompts — not one account per client.
• Automated, scheduled delivery, so this doesn’t become a manual task someone has to remember to run every week.
• An optional custom domain, for agencies that want reports served from their own URL rather than a shared vendor domain.

How Surfaced’s white-label works

The Agency plan ($149/mo) covers unlimited clients and unlimited prompts under one account. Each client is its own project — its own prompts, its own tracked competitors, its own score — switchable from a single client list.

Branding lives in one settings screen with a live preview: set your company name, pick an accent colour (or enter a hex code), and add a logo URL, and the sample report re-skins instantly so you can see exactly what a client will see before you send anything. An optional custom domain field lets you point a CNAME at Surfaced so reports can live on your own domain. Weekly checks run automatically across all 4 engines for every client, and the report emails go out on your schedule — nothing to trigger by hand.

How to think about pricing this as a service line

There’s no single right number — it depends on your market and how much interpretation you bundle in on top of the raw data (a report with a one-line “here’s what to fix this month” note reads very differently to a client than the same numbers with no context). The useful framing: your cost is fixed regardless of client count on an unlimited plan, so the more clients you run through it, the lower your cost per client — which gives you room to either compete on price or treat the margin as the reward for building the report interpretation into your existing retainer.

A launch checklist

• Set your branding (logo, colour, company name) and preview it before you send anything.
• Add your first client as a project, with the real questions their customers ask AI.
• Run a check and review the report yourself before it goes to the client — know what you’re about to sell.
• Add 2–3 competitors per client so the report shows who’s winning the prompts your client isn’t.
• Decide your cadence for surfacing this to clients — folded into an existing monthly call, or its own weekly email.
• Roll it out to your full client list once the first one is dialed in.

Related reading

Once reporting is running, the next question is usually how to actually move the score. Our guides on Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) cover the practical work behind the numbers — useful context for the “what to fix” conversation with clients. See the GEO & AEO agency plan for pricing and the white-label setup itself.

Frequently asked questions