We help Wellness & Performance teams get cited and recommended by AI answer engines. Get cited and recommended by ChatGPT, Perplexity and Google AI Overviews — discovery that no policy review can switch off.
Restriction is the design input here, not the surprise.
Get cited and recommended by ChatGPT, Perplexity and Google AI Overviews — discovery that no policy review can switch off.
Assume restriction as the starting condition, then build the engine that does not depend on ad approval. Lifecycle carries the revenue when paid is constrained. Predictive LTV and churn models decide where retention spend goes, and the subscription flows are built against the prediction rather than a flat rule.
AI search is not a lighter version of SEO. Search is turning into a brand channel, where the winner is whoever the model trusts enough to name. That trust is earned off your own website, in the sources AI actually reads, and it compounds for whoever moves first.
Know exactly how AI engines answer your buyers, tracked straight to revenue. We run your buyers' real prompts through ChatGPT, Perplexity, Gemini, and Google AI Overviews to baseline citation rate, share of voice, and sentiment accuracy. Ongoing reports track those metrics plus LLM referral conversions, tied to revenue, with a clear read on what changed and why.
We shape content so models quote you first. We restructure content the way models read it: definition-first sentences, self-contained sections, and dense verifiable facts. AI cites specific passages rather than whole pages, so we optimize at the passage level, the exact unit a model can lift and attribute without guessing.
One foundation that pays into Google rankings and AI answers. Models reason about entities, so we make it unambiguous who you are and what you sell: schema, structured data, clean internal linking, and open crawl access for GPTBot and PerplexityBot. The same technical SEO and topical authority work lifts your Google rankings and feeds the models.
Most of the win is earned off your own domain. AI trusts credible sources, so we build presence where the models look: earned press, review platforms like G2 and Trustpilot, Reddit and community threads, and the listicles engines quote back verbatim. Every placement is structured so a model can extract and attribute it cleanly.
We stand up your AI share-of-voice tracking across ChatGPT, Perplexity, Gemini, and AI Overviews, and document your starting citation rate against named competitors. We audit content, entities, schema, and crawl access, then hand you a prioritized roadmap. You see exactly how AI describes you today and where the gaps are.
We fix the technical and entity blockers, ship schema and structured data, and confirm AI bots can crawl you. The first batch of retrieval-ready content and answers goes live against your highest-value prompts. Early digital PR outreach begins to seed the sources models trust.
Earned placements and reviews start landing in the sources AI reads, and we target first measurable citation wins on priority prompts. Reporting shows movement in share of voice and sentiment. We tune the roadmap based on which prompts and sources are converting.
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