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Methodology v1.0 · Updated 2026-08-27

How we interpret AI visibility.

A specialist-led diagnostic for understanding where a brand can be found, understood, and recommended—and the evidence supporting that reading.

Sampling Queries represent relevant buying contexts, categories, and comparisons; they do not claim to capture every possible answer.

Interpretation Findings are prioritised opportunities, not causal guarantees of ranking, recommendation, or conversion.

The model

Four dimensions, read together.

01

Retrieval

Can the system access the information it needs?

Crawlability, indexability, rendering, important pages, and structured information.

02

Understanding

Can it identify the company and offer correctly?

Entity, category, services, audience, differentiators, and relationships.

03

Evidence

Are important claims corroborated?

Citations, authoritative mentions, source diversity, and claim consistency.

04

Selection

Does the brand surface in relevant commercial answers?

Mention presence, citation presence, recommendation presence, question coverage, and competitive gaps.

Confidence and evidence

The quality of a reading depends on its scope.

Confidence varies with query coverage, source availability, language, market, engine behaviour, and the recency of observations. An audit should expose these conditions alongside any conclusion.

Citations are treated as contextual evidence: they can help explain why a claim appears corroborated, but do not prove a causal relationship with a recommendation.

Explicit limits

What ALUNO does not claim to measure.

  • A guaranteed position in third-party systems.
  • The future outcome of every query, market, or language.
  • A causal relationship between an isolated change and recommendation.
  • An automated score that substitutes human interpretation.

Terms

GEO
Work that makes brand information useful and visible in generative experiences.
AEO
Work that helps information answer questions clearly in answer engines.
AI visibility
How clearly a brand can be found, understood, and selected for a defined set of queries and engines.