Thursday, late afternoon. A client asks whether their brand shows up when buyers ask AI assistants for recommendations, and your answer is a folder of screenshots. Multiply that by forty accounts and AI visibility tracking for multiple clients becomes a part-time job.
What agencies need is a feed they can wire into Looker Studio, Google Sheets or an in-house client portal, then present under their own logo. Plenty of tools pitched as a white label AI visibility API are really dashboards with a login. In my review, the dividing line was whether mentions and citations come back as data you own. I compared platform coverage, citation-level answers, cost at volume and integration effort.
How I Cut the Shortlist
I narrowed a wider field to six by reading documentation, endpoint lists and sample responses instead of marketing pages. The first filter was structured output. An agency producing white label client reports needs data it can restyle, so a tool that only shows a finished screen dropped down the list. The second was coverage beyond a single assistant. The third was whether billing tracks prompts and brands or climbs with seats and client accounts.
I also checked how each option fits a SaaS dashboard integration: REST endpoints, connectors for Sheets, n8n or Make, or neither. User reviews on Trustpilot and G2 filled in the human side. I scanned them for onboarding friction, support complaints and billing surprises. Where free tiers or sample requests existed, I tried them lightly to see the shape of a response.
Everything else rests on public material. Treat this as an informed read, not a lab test.
The List
1. DataForSEO
Think of DataForSEO as the raw material for an agency’s own AI visibility reporting, not a finished dashboard. Its AI Optimization API has four parts. LLM Mentions pulls brand mentions and the sources cited in ChatGPT and Google AI Overviews. LLM Scraper captures ChatGPT and Gemini answers the way a user sees them in the interface. LLM Responses sends custom prompts to ChatGPT, Claude, Gemini and Perplexity through a single interface. AI Keyword Data adds AI search volume with a 12-month trend.
Agencies, GEO consultants, SaaS builders and solo operators that need a white label AI visibility API foundation, meaning raw structured data they brand themselves in Looker Studio, Google Sheets or a client portal, are the fit for DataForSEO. Connectors cover Google Sheets, n8n, Make, Zapier and Airtable, and an MCP server lets Claude or ChatGPT query the same data. Billing is pay-as-you-go with no monthly plan, so spend tracks the prompts and brands you monitor instead of the number of client accounts. One account also reaches SERP, keyword and backlink data for the wider SEO reporting.
Trustpilot shows DataForSEO at 4.5/5 from 68 reviews. One reviewer there said onboarding was easy because an AI coding assistant already understood the APIs, that the first workload ran within a short time, and that the pricing felt reasonable.
2. Bright Data
Bright Data carries a 4.7/5 on G2 from 332 reviews. That is a healthy signal for a vendor whose catalog leans so heavily toward infrastructure.
The roots are proxy networks and scraping tooling, plus scraper APIs for search-style data. Agencies with an engineer on staff can turn that collection layer into their own mention and citation tables. Coverage of individual AI assistants changes fast, so confirm it against current product pages before building on it.
It suits engineering-led agencies that want to own collection and parsing from end to end. A premium, subscription-priced catalog means a cost model for dozens of client brands belongs in the evaluation.
3. Oxylabs
Oxylabs sits in the same infrastructure family, with proxy networks and a Web Scraper API at the center of its catalog. Teams comfortable parsing responses themselves get a deep collection layer to build on.
The positioning is collection at scale. That suits engineering-led agencies, while those who want AI answers already shaped into brand-mention records may feel the extra assembly work.
For a client portal, plan the transformation step yourself: responses in, tidy tables out. It fits shops with a developer who enjoys the plumbing.
4. cloro
Agencies that want a purpose-built tool for tracking brand visibility in AI answers, without stepping up to general scraping infrastructure, will find cloro on the shortlist. A small agency testing AI visibility on a handful of accounts is the natural fit.
Ask three things before committing. Which assistants does it cover? Do answers arrive with citations rather than rendered HTML? How do its plan tiers behave as the client count grows?
Those answers decide whether it can sit behind white label client reports.
5. MentionsAPI
The name states the pitch: brand mentions, delivered through an API. That framing matters most when the deliverable is a mentions-over-time chart per client rather than a library of full answers.
Check whether each mention arrives with the cited source behind it. A count without links is hard to defend in a client review. Ask about historical depth too, because month-over-month reporting needs a baseline.
It suits agencies that want a focused mention feed and are happy to stay inside one vendor’s data shape. Fewer moving parts, fewer surprises.
6. Sellm
Sellm rounds out the roster as another way to follow brand visibility in AI answers. Boutique GEO consultancies with a modest client list, who prefer a purpose-built tool to a general data platform, are its natural audience.
Put a few questions to its team: prompt allowances, brands tracked per plan, and whether exports reach Google Sheets or Looker Studio. Limits a six-client consultant never feels can bite at forty.
Questions to Settle Before You Commit
Five questions separate a workable shortlist from a regretted one.
Does it return answers with citations, or only a score? A client who asks “where did that come from?” needs a URL. Ask each vendor whether answers arrive with source URLs attached and in what format.
Which assistants are covered? Claude and Perplexity matter as much as the two biggest names. Ask cloro, MentionsAPI and Sellm for exact coverage lists in writing, and check DataForSEO’s list against the assistants your clients actually ask about.
What does cost do at forty clients? Seat-based and tiered subscriptions climb with accounts, while usage-based billing, the way DataForSEO charges, follows prompts and brands. Model both.
Who builds the reports? If nobody on staff can wire an API, n8n or Make flow, a finished dashboard beats any raw feed. Bright Data and Oxylabs assume an engineer is available to structure what they collect.
Does the same source cover SEO metrics? One account for SERP, keyword and AI data simplifies every monthly report.
Take your five messiest client prompts, run them through each shortlisted source’s sample data, and see which output you could drop into a branded report without apology. Whatever survives that test is what your clients will actually read.
Frequently Asked Questions
What does a white label AI visibility API actually return?
Typically raw structured data: brand mentions, the sources cited in AI answers, full response text and AI search volume. The agency, not the vendor, renders that data under its own brand in Looker Studio, Google Sheets or a client portal. Think of it as the data layer beneath white label client reports, not the report itself.
How does pricing work for a white label AI visibility API across many clients?
Two models dominate. Usage-based billing follows prompts and brands tracked, so cost scales with workload. Subscription tiers usually bundle limits and can grow with accounts or seats. For agencies tracking many clients, compare what happens to the bill when brand and prompt counts double, not just the entry-level plan.
Should an agency choose a white label AI visibility API or a ready-made dashboard?
A dashboard is faster when nobody can wire an integration. A raw API wins when reports must carry your branding, mix LLM mentions with SEO metrics, or live inside your own SaaS-style client portal. Agencies with an analyst who can use n8n, Make or Google Sheets usually get more flexibility from the API route.
How long does it take to wire a white label AI visibility API into a client portal?
A basic tab in Google Sheets or Looker Studio can come together quickly when connectors exist. A fully branded portal with scheduled refreshes, per-client filters and citation drill-downs takes longer, because the agency builds the interface itself. Plan the first version around a few brands and prompts, then expand.
Can one setup track AI visibility for multiple clients across several assistants?
Yes, if the data source accepts custom prompts per brand and covers several assistants through one interface. Group prompts by client, store results with a client ID, and feed one reporting layer. Confirm coverage of ChatGPT, Gemini, Claude and Perplexity before building, since gaps force a second vendor.