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This is what gets said about your category. Bring one into focus.

Twelve readings across three surfaces: what the assistants answer, what the answer box says, and where you sit in ordinary search. One picture, not three tools that disagree with each other.

Free · no account · under ten minutes

Hover a reading, or tab to it. 1 of the 12 is a stored answer — Perplexity, 31 July 2026, from the Linear run. The rest show the shape a reading takes and are marked as examples.

The three surfaces

A buyer looks for you in three places.

Choosing one sinks the others rather than hiding them, because the whole argument of the house is that they are read together.

Surface 01 · GEO

Assistants

The question a buyer types, the whole paragraph that came back, and who it named.

ChatGPT · Claude · Perplexity · Gemini

Surface 02 · AEO

The answer box

The summary above the results, and the pages it read to write it.

The answer · cited sources · the questions you are missing from

Surface 03 · SEO

Ordinary search

Your position in the plain results, in the same report as the other two.

Position · who is above you · a dated change

The field above holds 4 readings from assistants, 4 from the answer box and 4 from ordinary search.

A stored reading

This is what one looks like.

Stored answer

Perplexity

31 July 2026

Web search on

The question a buyer types

best project management tools for software teams

For software teams, look first at a tool that matches your actual workflow. Jira remains the standard for agile and issue tracking, while ClickUp and Asana suit teams that want a lighter surface…

Named · Jira · ClickUp · Asana

Did not name you · 3 rivals

Our own first full run measured 15 questions across 4 engines for $4.01, stored 51 answers and collected 460 cited URLs across 190 domains. The ledger reconciled exactly against the provider.

What runs underneath

Five measured capabilities.

From Local upward every plan carries every capability. The ladder is rows and refresh, not access.

Positions

rank tracking

Where you come up, and the move since the last reading.

325100250500

free → scale · keywords

Keyword research

keyword research

Volume, competition and cost per click. The provider’s figures, not our estimate.

105020010001000

free → scale · rows

Domain overview

domain overview

A domain’s estimated organic value. Most useful pointed at a rival.

102550100200

free → scale · rows

Site audit

site audit

A technical crawl. The one capability that fetches somebody else’s server, so the free account does not carry it.

501505002000

free → scale · pages

Backlinks

backlinks

Who links to you and to the competition, crossed with the sources the assistants cited.

10501504001000

free → scale · rows

Total share of voice

share of voice

One figure across the assistants and ordinary search, weighted by position and by how commercial the question is.

every surface · the only figure that combines the two

What arrives

A dated report at a URL, that you can forward.

unbound.geo/r/Pm8ktBMykLJg
the verdict

linear appeared in 3 of 4 answers.

You are in the conversation but not in all of it. The answers where you are missing, and who was named instead, are below.

the receipt

perplexity31 July 2026not named

"I need help choosing project management tools for software teams. What should I look for?"

For software teams, look first at a tool that matches your actual workflow. Jira remains the standard for agile and issue tracking, while ClickUp and Asana suit teams that want...

sources it read

reddit.comread to answer without you
youtube.comread to answer without you
learn.g2.comread to answer without you

share of voice

Jira4 of 423.6%
Asana4 of 412.6%
Linearyou3 of 412.0%
Notion3 of 48.1%
ClickUpfound2 of 47.7%

The count leads. Weighted share follows, weighted by position and by how commercial the question is. Coverage 100%: 4 of 4 calls came back naming a business, so every count above is out of the same 4.

A real report from a real run, not a mockup. Every report lives at its own permanent URL and says the same thing in two weeks, which is what lets you forward it.

The rules we build under

Most of these exist because we watched the alternative produce a number nobody could defend.

The reasoning trace is not the answer

excluded · discards counted

How we measured it

Reasoning models return a private draft alongside the reply. That draft names brands the answer then drops. We exclude it and record how many items we dropped, because counting it would report you as visible where no buyer ever sees you.

Whole word matching, never substring

2,420 mentions vs 0 · same query

How we measured it

We measured a brand name that is also an ordinary word returning 2,420 mentions from an index while the brand’s own domain returned zero on the same query. Three orders of magnitude of noise.

A failed call is not a zero

out of both sides · coverage declared

How we measured it

It is excluded from both sides of the ratio and the coverage is declared. An answer that named nobody is not a loss either; it means the question did not discriminate.

No confidence band under three runs

three runs minimum · intervals compared

How we measured it

A single measurement dressed as precision is how credibility gets spent. Two snapshots differ reportably only when their intervals do not overlap.

Unknown competitors count

every brand named · listed or not

How we measured it

Every brand the answer names enters the denominator, listed or not. A share of voice that improves because you stopped tracking a rival is a corrupt number.

Nothing is generated by a model guessing

real call · raw response stored

How we measured it

Every result comes from a real call to a real engine, and the raw response is stored. Without a provider connected, the feature stays inert and writes nothing.

Where this goes next

Your data in your own agent, and the honest comparison.

Point Claude or ChatGPT at your account over MCP and ask it what no dashboard anticipated. Every comparison opens by saying when to pick them instead.

list_findingsget_finding_evidenceget_share_of_voicecompare_scanslist_cited_sourcesrun_scan

Find out in under ten minutes.

Five real questions, a live engine with web search on, and the full answer text. No account, no card.

How it works
free scan

are you in the answer?

Five real questions against a live answer engine with web search on, each asked ten times. That is fifty real calls, so the report lands in under ten minutes rather than while you wait. You see every question before anything runs, and you get the answer text, who got named and the sources the engine read, not a score.

your site/what you sell/where your buyers are/the questions