White-label AI search.
Get your clients cited by the answer.

They overlap and are often sold together. AEO - answer engine optimisation - is about being the cited source inside answer features: Google AI Overviews, featured snippets, and the answer boxes search engines surface. GEO - generative engine optimisation - is broader, covering visibility and recommendation inside generative assistants like ChatGPT, Perplexity, Gemini, Claude and Copilot, including how those models describe and recommend a brand. In practice we run them as one integrated AI-search programme.

This is an emerging market, so ranges are wider than established lines. Wholesale typically runs 600 to 1,500 US dollars per month for an AI-visibility programme on a single brand, 1,500 to 3,500 dollars for a multi-entity or competitive market, and project fees of 1,000 to 4,000 dollars for one-time AI-citation audits and llms.txt and schema build-outs. Agencies bill clients two to three times that, often at a premium because few competitors can offer it. Market ranges from our delivery benchmarks, June 2026 - not a price sheet.

Because AEO/GEO is new, evolving monthly, and requires a different skill set than classic link-and-content SEO: entity optimisation, schema engineering, llms.txt infrastructure, Reddit and forum citation work, Wikidata and knowledge-graph signals, and prompt-level visibility testing across multiple AI engines. Most fulfillment shops are still selling 2018-era SEO. We built our own AI-search practice for direct clients first, which is why we can white-label it now.

There is no single lever - it is a programme. We strengthen the client's entity in knowledge graphs (Wikidata, schema, consistent NAP and sameAs), publish and structure content the way models extract it (clear definitions, comparison tables, ordered steps, FAQ schema), build llms.txt and AI-permission infrastructure, earn citations on the sources AI engines trust (including Reddit and editorial), and test visibility across engines on the prompts that matter to the client. Then we measure and iterate monthly.

Prompt-level tracking: we define the buyer prompts that matter for the client, then test how each AI engine answers - whether the client is cited, recommended, described accurately, or absent - and track that over time. We also monitor AI Overview presence on target queries and referral patterns from AI engines in analytics. You get a white-labeled report showing the client's AI-answer presence moving, which is a story almost no other agency can tell.

The spread, at a premium. Because few competitors offer AI-search fulfillment, agencies can bill it at a higher multiple than commodity SEO - and it is an easy upsell into every existing SEO retainer. Example: add a 2,000 dollar AI-visibility line to a client already on an SEO retainer; your wholesale cost is 900 dollars; you capture both the margin and a differentiating service that reduces churn on the whole account.

No - it extends it. Strong traditional SEO (crawlable, authoritative, well-structured content) is a precondition for AI-search visibility, because AI engines draw heavily on the same signals and often on the search index itself. We position AEO/GEO as a layer on top of SEO, not a replacement, and most partners sell it alongside their existing SEO line rather than instead of it.

Reports carry your logo and template, presenting AI-visibility findings - prompt-level citation results, AI Overview presence, entity-strength changes - in language you can forward verbatim or present on client calls as your own analysis. We write the strategic commentary so you own the narrative. Dashboards are built under your brand.

Apply through the partner application - four steps, two minutes. We reply within one business day with wholesale rates and, on request, a sample AI-visibility snapshot for one of your clients so you can see what the service produces. Most partners pilot AEO/GEO on one existing SEO client before rolling it out. No minimum commitments, no lock-in on the pilot.