Globalcare / AISO Canonical

What is AI Search Optimization (AISO)?

Definition: AI Search Optimization (AISO) is the discipline of structuring organizational knowledge and signals so intelligent systems can accurately interpret, trust, and reference an entity within generated answers.

Why AISO exists

Discovery is moving from “find a page” to “get an answer.”
AI systems compress many sources into a small set of referenced entities.
Organizations must engineer clarity and eligibility to be included.

What AISO optimizes (not rankings)

1) Interpretability

Clear positioning statements and scope boundaries.
Consistent naming: company, products, frameworks, categories.
Canonical pages that define concepts in stable URLs.

2) Trust signals

Specific explanations and repeatable methodology.
Evidence patterns: case narratives, process artifacts, published frameworks.
Consistency over time: updates without rewriting the core identity.

3) Referenceability

Answer-shaped content: FAQs, comparisons, “when to use / when not to use.”
Internal linking that teaches entity relationships.
Machine-readable publishing patterns (structured pages, sitemaps, robots, canonical tags).

How Globalcare implements AISO

Entity definition: build canonical pages that AI can quote without distortion.
Framework publishing: document the AISO model and implementation phases.
Reference readiness: produce content mapped to real questions buyers ask.
Visibility infrastructure: ensure crawlability (robots/sitemap), clean URLs, and stable internal linking.

FAQs

Is AISO just “AI SEO”?

No. AISO focuses on machine understanding and referenceability inside answers, not only on ranking pages in traditional search results.

Can a small brand do AISO?

Yes. AISO is primarily about clarity and structure. The fastest gains come from canonical pages and consistent internal linking.

What pages should exist first?

A definition page (this one), a framework page, and at least one comparison page that explains the shift from search to AI discovery.