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FOUND-F: the Findable agent

Answers the question: Do we appear when relevant buyers ask? Measured by: Share of Answer, inclusion rate, citation rate, accuracy of how AI describes the company.

Score your Findable for freeRead the Findable letter
Agent spec · read from the FOUND-F specification

FOUND-FFindable

In

  • Client profile, ICP, category terms and approved claims (from the str…
  • Prompt set and category definitions agreed at scoping.

Does

  • Load inputs and verify evidence from the prior cycle is intact.
  • Measure the letter's metrics (Share of Answer, inclusion rate, citati…

Out

  • Metric snapshot for this letter with method, provider/model, date, pr…
  • Draft recommendations and drafted assets (fixes, outreach drafts, bri…

You approveStrategist approves decision-grade findings and anything published or sent externally.

Simulation · Example Cyber Co does not exist · 90 days

12 drafts from 4 findings

  • Published after approval11
  • Waiting for a person0
  • Stopped by the checks1

The spec card is read from the agent's specification. The run card is from a simulation on made-up data; no real company is shown.

  • Specification published, and this page is built from it.
  • Runs in the simulation on a fictional company Demonstration
  • Connects to your systems Not built yet

How it works

What it does, step by step

The agent prepares. The Strategist agent checks. You approve anything that leaves the company.

Where it stops and waits for you

  • Strategist approves decision-grade findings and anything published or sent externally.
  • Review requests, analyst briefings and outreach are sent only by a human or after explicit approval.
  • Agents never create or buy reviews, testimonials, analyst opinions, awards or other third-party validation.
  1. Load inputs and verify evidence from the prior cycle is intact.
  2. Measure the letter's metrics (Share of Answer, inclusion rate, citation rate, accuracy of how AI describes the company) using deterministic calculation; LLMs may classify and draft rationales only.
  3. Compare to last cycle and flag deltas and anomalies.
  4. Draft the fixes or assets for the gaps found.
  5. Package findings with citations and confidence.
  6. Submit to the strategist for approval, then hand off.

Hands on: To: FOUND-O Opinions. Packet: metric snapshot, gap list, approved assets, open questions, evidence links.

What goes in, and what comes out

Inputs

  • Client profile, ICP, category terms and approved claims (from the strategist's scoping record).
  • Prompt set and category definitions agreed at scoping.
  • Prior-cycle metrics for this letter (never overwritten, append only).
  • Sanctioned sources only (official model APIs, public pages, listings); no scraping of consumer AI interfaces.

Outputs

  • Metric snapshot for this letter with method, provider/model, date, prompt version and sources recorded.
  • Draft recommendations and drafted assets (fixes, outreach drafts, briefs) marked `draft`.
  • Evidence log entries; handoff packet for the next stage.

Simulation · fictional data

What it prepared for Example Cyber Co

Example Cyber Co does not exist. These are drafts from a 90-day simulation, not work for any real company. See the whole simulation.

  • Day 1 · Published after approval

    About page: plain description of the company

  • Day 1 · Published after approval

    llms.txt for the site

  • Day 1 · Published after approval

    robots.txt: allow the AI crawlers we want

  • Day 1 · Published after approval

    Answer page: How do we give an AI agent its own identity and limited access?

  • Day 1 · Published after approval

    Answer page: How do we see every AI agent running in our systems?

  • Day 1 · Stopped by the checks

    Answer page: How do we stop an AI agent from using access meant for people?

What Findable means, how it is scored, the harness the agent runs in and what to avoid are on the letter page, so they are kept in one place.

Read the Findable letterSee its harnessLearn FOUND-F free in the AcademyNext agent: FOUND-O OpinionsAll twelve agents

See how Findable looks for your company today.

Free, open and no login. Every number shows who saw the evidence.

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