Make your product legible to agents. See the intent they carry.
Be discoverable, understandable, and measurable in AI-agent channels — with real first-party data, not guesswork.
Facts with proofs, not marketing copy.
Agents don't trust adjectives — they trust claims they can verify. Every fact you publish is typed, provable, and carries the URL that proves it plus the timestamp it was last verified. Pricing is sourced from your billing system, not a crawl — verified-fresh by construction, never stale.
- Typed claims rendered into both JSON-LD and prose — always in agreement.
- proofUrl + verifiedAt on every fact. Agents can check your work.
- Stripe-sourced pricing: the number an agent quotes is the number you charge.
Your docs are an agent surface now.
Before a team adopts your product, an agent reads your docs and answers one question: does it support X? Competitors' docs get skimmed as raw HTML. Yours answer directly — your API reference ingested into per-endpoint chunks, served at /agent/api-docs with structured proof attached to every answer.
- OpenAPI ingestion — every endpoint becomes an answerable chunk.
- "Does it support X?" answered with the endpoint, the plan, and the proof.
- For this buyer, docs are marketing. Agents read them first.
Intent capture nobody else has.
Agents volunteer buyer context to get better answers — the stack they run, the team size, the compliance requirements. That flows back as structured first-party intent. And every question your content can't answer is logged as a gap: roadmap intelligence no synthetic tool can produce.
- Buyer-context sensors: stack, team size, compliance — volunteered, structured.
- Answer-gap analytics: "agents asked about SSO 14 times — your content doesn’t answer it."
- Every fact served is logged, so you know what agents actually read.
Inside-out beats outside-in.
AI-visibility vendors poll ChatGPT with synthetic prompts and estimate what agents might say — a survey. We sit on your actual agent-facing endpoints and capture what really happened, stitched to revenue.
- Synthetic prompts, sampled on a schedule.
- Estimates of what an agent might have said.
- No connection to a real buyer, a real session, or a real outcome.
- Their own docs admit the guessing.
- Real agent interactions on your own endpoints.
- The exact questions, the facts served, the context volunteered.
- Stitched to conversions through deterministic attribution.
- Measurement, not a survey.
Agents are already forming an answer about your product.
Make it legible, provable, and measurable — and capture the intent that comes back.