The Answerability Index · pilot edition · May 2026

How AI systems decide which companies buyers see.

The Answerability Index measures exactly that — who AI systems surface when buyers ask high-intent questions across industries, how concentrated each market is, and where visibility is still contestable.

5 AI systems · 4 industries · observed behavior, not rankings.

4 markets
analyzed end to end
5 AI systems
measured in parallel
Hundreds of companies
surfaced and scored
Repeated captures
three runs per question
See your industry ↓ Request a diagnostic →

01 — What it is

A measurement system, not a ranking.

We don't decide who's best. We observe which companies five AI systems actually name when buyers ask real questions — then measure how much the engines agree.

HOW THE MEASUREMENT WORKS Buyer questions Five AI systems Companies surfaced Overlap measured Market type

The overlap score runs 0.00–1.00. 1.00 means the engines fully agree on which companies belong in the answer; 0.00 means they share none. It's the single number behind every market type below.

02 — Why it matters

AI builds the shortlist before the website visit.

More buyers now open a research question with an AI system instead of a search box. By the time they reach anyone's website, the consideration set is often already drawn. If your company isn't in the answer, it isn't on the list — and you rarely get to know it happened.

03 — The decoder

Frozen, molten, fragmented.

Every market we measure falls into one of three structures — and each one creates a different visibility problem.

Frozen
High agreement. The engines have converged on the same handful of names on nearly every prompt.

What it means: incumbents hold a structural moat — you can't optimize your way in.

Molten
Moderate agreement. The leaders shift by engine and the answer is still forming.

What it means: visibility is contestable — retrieval, entity clarity, and answer-shaped content change who gets named.

Fragmented
Low agreement, by design. There's no single answer because there's no single buyer.

What it means: different buyers see different firms — you win territories, not keywords.

Most markets we've studied are still contestable — molten or fragmented — not frozen.

04 — The evidence

What it looks like across markets.

These examples aren't rankings — they show how different market structures create different visibility problems. Each links to the full analysis.

Airlines

Frozen · Overlap 0.64

All five engines converge on Delta, United, and American — recommendation behavior locks around a handful of dominant brands.

Overlap visualization
What this means

The market is settled. Big, well-corroborated brands dominate the AI conversation consistently — you can't tune your way in.

Industrial machinery

Molten · Overlap 0.34

Only Caterpillar is a consensus pick. Ask for "leading US industrial companies" and the engines return Komatsu, Siemens, ABB — an open field.

Overlap visualization
What this means

The market is still forming. Visibility is contestable — retrieval, entity clarity, and answer-shaped content can change who gets named.

LA wealth management

Fragmented · splits by buyer

244 firms named, and 93% are local RIAs Google never shows. A founder, a physician, and a $10M family get sent to almost entirely different firms.

Fracture map (mini)
What this means

There's no single answer because there's no single buyer. AI builds a different consideration set for each archetype — win the territory, not the keyword.

Commercial insurance brokers

Molten · Overlap 0.38

72 brokers named, near-zero agreement. A startup buying cyber is steered to insurtechs; a mid-market manufacturer gets the global giants.

Overlap visualization
What this means

No broker owns the answer, and the leader flips by engine — visibility is contestable line by line, not locked.

05 — Where you fit

Which problem sounds like yours?

06 — The work

From research to results.

Research tells you how your market behaves. A Diagnostic tells you how you behave inside it. Most clients start with the Diagnostic — which then keeps running as monthly Visibility Intelligence — and bring in a Sprint or a custom engagement when they want the fixes built.

01 — Diagnostic + monthly
AI Answerability Diagnostic
The report on where you stand across the five engines — then ongoing monthly Visibility Intelligence: what moved, why, and what to do next.
  • Baseline score, retrieval inventory, competitor & territory analysis
  • Excel playbook + two deploy-ready example pages
  • Then monthly: a delta report, refreshed playbook & two more pages
  • $2,500 first month, then $950/mo — cancel anytime

Monthly during active build periods; quarterly once visibility stabilizes.

02 — Implementation
Sprint
The done-for-you build, when you'd rather not staff it internally. Includes the monthly intelligence.
  • Surfaces built
  • Trust & retrieval improvements
  • Hands-on implementation
03 — Custom
Done-for-you, on your site
When you'd rather we implement directly on your site, or run something larger or ongoing.
  • We implement on your site
  • Larger or ongoing scope
  • Scoped to you

See where AI routes your buyers.

The AI Visibility Diagnostic runs your buyers' real questions across all five engines and scores every cited source — so you can see where you're surfaced, where a competitor is named instead, and what moves it.

Not ready? Read the field report first →

A pilot edition of the Answerability Index. Real five-engine capture (ChatGPT, Claude, Gemini, Perplexity, Grok), 6–7 prompts × 3 runs per market, 2026-05-27 to 2026-05-28. Research based on sampled AI outputs — observed surfacing, not endorsements, rankings, or investment advice. © Answerability.
5
AI engines
ChatGPT, Claude, Gemini, Perplexity, Grok
6
Buyer questions / market
≈25 prompts total · 3 runs each
4
Markets shown
Airlines · machinery · LA wealth · insurance