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The terms behind the evidence.

Forty definitions for reading an AI search visibility report. Our method names five engines separately:

  • ChatGPT
  • Claude
  • Perplexity
  • Google AI Overviews
  • Google AI Mode
Absence Ladder

The Absence Ladder groups measured visibility into published levels. Its result depends on the questions, answer base and thresholds stated with that measurement.

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AEO

Answer engine optimization describes work on the information an answer engine can find and use. The name of the service does not replace evidence of whether a company was named or cited.

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AI search visibility

AI search visibility describes how a company appears in answers to a stated set of buyer questions. We report named answers, source citations and share of voice separately.

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Answer engine

An answer engine turns a question into a written response rather than returning only a list of links. Its response and cited sources are separate pieces of evidence in our measurement.

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Baseline

A baseline is the dated first measurement used for an agreed comparison. Its questions, engine coverage and valid answer base define what a later measurement can be compared with.

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Buyer question

A buyer question is a recorded question representing a software evaluation need. Its wording stays attached to the answer so another reader can inspect the scope of the observation.

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ChatGPT

ChatGPT is one of the five engine products named in our measurement. The report states the collection setup and does not claim to reproduce every buyer's individual screen.

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Citation

A citation is a source link supplied with an observed answer. A company counts as cited as a source when a listed source belongs to its own domain or a confirmed alias.

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Cited as a source

Cited as a source means an answer includes a source on the company's own domain or a confirmed alias. An uncited mention is not inferred to be a source citation.

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Claude

Claude is one of the five engine products named in our measurement. Its captured answers, valid base and exclusions remain identifiable in the evidence.

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Confidence interval

A confidence interval shows the statistical uncertainty around an estimated rate under the stated method. It does not remove limits caused by the question set, dates or measurement instrument.

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Crawler access

Crawler access describes whether a request can reach a page under the observed access conditions. Our server's result does not prove how a provider's own verified request will be handled.

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Denominator

The denominator is the base against which a count or rate is reported. A named-answer rate and share of voice use different bases and must keep those labels attached.

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Engine divergence

Engine divergence is a difference in observed answers or vendor selections between engines. Our published study reports its own engine coverage, dates and answer base.

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Entity

An entity is the company or other distinct subject being identified in an answer or source. Matching rules help separate that subject from similarly named organizations.

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Excluded answer

An excluded answer is an observation removed under a stated rule, such as a failed or empty response. We record the reason and do not count it as a measured absence.

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Fixed panel

A fixed panel is the agreed set of question and engine cells retained for a comparison. Extra adaptive answers do not enlarge that panel or silently change its denominator.

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GEO

Generative engine optimization is work intended to improve how a company appears in AI generated answers. We assess it through recorded answers and sources, with the instrument and date stated.

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Google AI Mode

Google AI Mode is a separate named search surface in our measurement. An observation from it is not substituted for an AI Overviews observation.

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Google AI Overviews

Google AI Overviews is one of the named search surfaces in our measurement. We report its captured answers and exclusions separately from Google AI Mode.

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Indexing

Indexing means a search service has included a resource in its searchable collection. A reachable page or an allowed robots rule does not by itself establish that inclusion.

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llms.txt

An llms.txt file is a text directory of selected website resources with descriptions. It provides a readable map and does not guarantee that an engine will use or cite those resources.

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MCP connector

An MCP connector gives a compatible assistant a structured way to request information from a service. Our public connector exposes published evidence with the scope stated on its connection page.

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Named

Named means the company appears in the answer text under the published matching rules. An answer counts once for that company even when the text repeats its name.

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Perplexity

Perplexity is one of the five engine products named in our measurement. We report its answer observations and sources within the stated collection and publication limits.

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Receipt

A receipt is the evidence record behind an observation or reported figure. It connects the result to the captured answer and its available source references.

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Recommendation position

Recommendation position records where a company appears in a discernibly ordered or grouped shortlist. When the answer has no discernible order, we report that limit instead of inventing a position.

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Record accuracy

Record accuracy concerns classified statements about a company checked against dated public evidence. Unreviewed or unclassified statements do not imply either correctness or a zero error count.

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Remeasurement

Remeasurement repeats the agreed measurement after an interval or a change. We keep the comparison's scope and exclusions visible rather than treating unrelated samples as the same panel.

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Robots.txt

Robots.txt is a public file containing path access rules for named crawlers. Our access checks report those rules separately from whether a page is indexed or cited.

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Run

A run is one scheduled attempt to obtain an answer for a question on an engine. Repeated runs preserve differences instead of treating one response as a stable result.

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Run-to-run noise

Run-to-run noise is the variation between answers produced for the same question under the same stated setup. We retain the repetitions so a changed answer is not automatically presented as an improvement.

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Share of voice

Share of voice is the company's named-answer count divided by the recorded brand mentions across the same valid answers. Each recorded brand counts once per answer, so this is a share of mentions rather than a percentage of answers.

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Source map

A source map lists the published pages cited in a defined set of captured answers. Counts belong to that sample and do not claim to describe every answer an engine could produce.

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Source presence

Source presence records whether a company's own website appears among the sources for an answer. It does not mean that the answer also names or recommends the company.

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Stale statement

A stale statement describes information that no longer matches the dated public evidence. It is distinguished from a statement whose truth cannot be checked.

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Structured data

Structured data labels facts in a machine-readable format alongside a page. Its presence can make those labels inspectable but does not establish that an answer engine will cite the page.

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Unverified statement

An unverified statement does not yet have enough recorded evidence or review to support a classification. We do not automatically turn that uncertainty into a wrong-statement count.

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Valid answer

A valid answer is a captured response that meets the measurement's published inclusion rules. It contributes to the reported answer base for the relevant engine and question group.

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Wrong statement

A wrong statement conflicts with the evidence used for its recorded classification. Its supporting source and review status remain attached to the finding.

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