First-party facts
Products, policies, specifications. You already publish these — and so does everyone else.
Customer evidence for AI visibility
When a buyer asks an AI assistant who to trust, the answer is built from public evidence — and the one layer almost no company has is verified, first-person customer stories. That gap is the lowest-hanging fruit in AI search. We build that layer for you.
What the model can find
Every LLM is fighting to find verified, true human experiences instead of the average company-generated content flooding the web. That is the evidence your buyers' assistants keep looking for — and rarely finding.
Products, policies, specifications. You already publish these — and so does everyone else.
Research, experts, certifications. Useful, but shared with your whole category.
People, products, dates, relationships. Table stakes — most competitors have it.
Publishers, forums, video, reviews. Mostly third-party opinions you don't control.
Named people, real context, verbatim transcripts, video plus disclosures. This is the lived experience most brand pages cannot supply — and the evidence AI answer engines increasingly cite when a buyer asks "is this for someone like me?"
What the buyer receives
Every AI answer to a buyer question comes with a shortlist, sources, and qualifiers. The answers that win are the ones carrying distinctive human context — real customers saying what happened in real use. When your evidence layer is empty, your competitors' stories fill it instead.
Answer
A concise response
Shortlist
Options or recommendations
Sources
Links and citations
Qualifiers
Trade-offs, uncertainty, next steps
Where customer experience adds distinctive context — this is where Share One's evidence gets cited.
The Share One mechanism
Real conversations with real customers.
Captured on camera, with context.
Verbatim transcript with identifiers.
Structured around buyer experience questions.
Published, crawlable, and disclosed.
Evidence earns consideration. It does not guarantee retrieval, ranking, citation, or recommendation — and we don't make empty promises. It simply means that when an answer engine looks for human proof, yours exists.
Thousands of real customer videos — structured, transcribed, and published so answer engines can read them. Share One stories are already appearing as cited sources of truth across AI platforms like OpenAI and Anthropic. Your competitors don't know about this yet. That is your window.
We ask the questions your future customers ask AI search, live, and show you exactly where you show up, who gets cited instead, and the openings that are yours to take.
Run a reportAuthentic · Attributable · Crawlable · Distinctive · Disclosed