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Clear foundations for AI Visibility Intelligence.

Concise, reliable definitions for decision-makers and agencies. No GEO tricks—just understandable concepts, measurement limits and action context.

ANSWER SIGNALAI visibility knowledge
AI visibility
Sources4
Competitors7
GEO context
Evidence before assertion
DefinitionsMethodologyPractical guidance
A connected visual world spanning Swiss architecture, premium ecommerce and a precise B2B specialist environment, linked by subtle evidence signals.
One intelligence system. Different buyer journeys.
01
Foundation

What is AI Visibility?

AI Visibility describes whether and how a brand, its offer or its content appears in AI-system answers—including mentions, recommendations, sources and competitors in the context of a question.

02
Context

GEO and SEO serve different jobs.

SEO improves discoverability in search engines. Generative Engine Optimisation aligns content and entity signals so AI systems can understand a business accurately and consider it a relevant source or option. Search data can help but does not replace AI visibility measurement.

03
Measurement

How is AI Visibility measured reliably?

With reviewed buyer questions, separate AI systems, repeated full measurements and visible data quality. Comparability matters more than one spectacular answer.

04
ChatGPT and others

How does a brand appear in AI answers?

A brand may be named directly, recommended as a provider, cited through its own content or described indirectly by third-party sources. Meaning depends on the question, system, time and source landscape.

05
Stability

Why is one AI answer not stable evidence?

Models, search access and answer variants change. Only repeated comparable observations reveal whether a signal recurs or was just a snapshot.

Next step

Start with a controlled 30-day pilot.

Reviewed questions, four separate AI systems and evidence through remeasurement.

Explore the pilot