How it works

An AI answer can change from one run to the next. One run is not a measurement. Everything below is there so that a result can be traced back to the evidence behind it.

Every number names its evidence

See it work

When AI answers, does it say your name? Here is how we check.

Every picture is labelled. Where a result is an example, it says so. Where it is real, it says that too.

Ask the AI what a buyer would ask.

We put buyer-style questions to answer engines through their official APIs and record who is named, and which sources are cited. Below: a real Gemini answer with Google Search on, and the same question put to Perplexity, both on 19 October 2026. Neither is a customer result.

Google Gemini · gemini-3.8-flashGrade C · 1 observation

What are the best AI search visibility monitoring tools?

Named in the answer

  • Otterly.AI
  • Profound
  • Peec AI
  • ZipTie.dev
  • Semrush
  • Ahrefs
  • Similarweb
  • Radarkit
  • Orchly
  • Scrunch AI
  • AthenaHQ
  • Vindhya Security (fictional) — not mentioned

Cited sources · 11 across 10 publishers

  • thatmarketingbuddy.com
  • otterly.ai
  • zapier.com
  • semrush.com
  • nexscope.ai
  • reddit.com
  • +4 more

Google Search grounding on: a live-retrieval answer.

One real Google Gemini answer (gemini-3.8-flash), asked on 19 October 2026. Search grounding on. Vindhya Security is fictional. Kept as history: Google Gemini gemini-3.8-flash without search, 19 October 2026; Google Gemini gemini-3.8-flash without search, 19 October 2026; Perplexity Sonar, 3 August 2026. See the full sample result.
Same question, second engine · Perplexity sonar · 19 October 2026 · web search on · one real answer

Named: Profound, Peec AI, Ahrefs Brand Radar, Conductor, Rankscale, Otterly.ai and others.

Cited publishers: frase.io, seo.com, blog.hubspot.com, 01net.com, searchengineland.com, +5 more.

Turn it into a score you can defend.

Code, not a model, works out the score from the evidence. Each number says who saw the evidence: you, our checks, or a person who verified it.

Example data · Example Company is not a real company
21of 100

FOUND Score

  • F20 Findable
  • O10 Opinions
  • U25 Underdog Moves
  • N10 Nods
  • D40 Distinctions

Nothing leaves without your approval.

Agents prepare drafts and check them. You approve anything published or sent.

Example queue · approval points taken from the letter specs

Waiting for your approval

  • FOUND-FStrategist approves decision-grade findings and anything published or sent externally.Review
  • FOUND-OReview requests, analyst briefings and outreach are sent only by a human or after explicit approval.Queued
  • DRONICS-ONamed customers, quotes and figures appear only with written permission.Queued

Nothing goes out until a person approves it.

Later: connect the tools you already use.

The harness would let agents read from your CRM, analytics and content systems. It is a plan. It is not built.

Roadmap, not built · systems named in the letter specs
HubSpotSalesforceCrossbeamGoogle AnalyticsGoogle Search ConsoleSlackAWS MarketplaceG2Harnessroadmap

Confidence is calculated, not simply stated

Grade C: exploratory

A small sample, a single model, a one-time observation, or incomplete evidence.

Grade B: directional

Enough coverage of platforms and prompts, with the gaps written down.

Grade A: decision-grade

Many models, many runs, place controlled, current evidence, checked by people, repeatable, and with corrections on record.

A reviewer may lower a grade and give the reason. A reviewer may not raise it above what the system allows.

The score card’s High/Medium/Low label is different: the share of points from direct reads (provenance), not statistical confidence, completeness or human verification.

Live

Share of Answer is reported in parts

Inclusion rate, recommendation rate, citation rate, accuracy rate and competitive-win rate are reported separately. We never fold them quietly into one visibility number.

Engine coverage, as it stands today

Our sampling method needs three engines. Three adapters are built. Each runs only when its key is set. Here is the true state of each.

Answers differ a great deal between engines. A company present in one can be missing from another for the same question. So, until all three run, limited coverage is a limit on every result.

Perplexity SonarAdapter built and tested against a real call: 20 citations parsed from one response on 2026-08-03, cost reported by the provider at $0.005670. That observation is what the sample assessment is built from; it was captured in Syntax, our measurement workspace. The adapter is now connected to the live assessment here; Perplexity Sonar is the only live answer engine in production today.
Live
Google GeminiThe citations come in the grounding metadata. Adapter built; it ran live on 19 October 2026. Gemini is deliberately paused in production: its key is not set for the application.
Demonstration
OpenAI ResponsesA stand-in for the ChatGPT answer that consumers see. It is not an exact copy of it. Adapter built, but not run live. It runs only when an OpenAI key is set.
Demonstration

What we do not claim

We do not control what models answer. We do not manufacture reviews, testimonials, analyst opinions or awards. A finding is an association we observed within a stated period and sample. It is never a promise of cause.

Live

Put the method to work on your own site.

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