The AISO Framework

The AISO Framework is Globalcare’s structured method for helping organizations become interpretable, trusted, and referenceable inside AI-generated answers. It is designed to turn visibility into a repeatable system rather than a one-off campaign.

The three layers

Layer 1 — Interpretability

Canonical positioning pages (what you are, what you do, who it’s for).
Consistent vocabulary across the site.
Clean URL structure and stable canonical links.

Layer 2 — Trust

Explainable methods (frameworks, checklists, models).
Specificity: clear examples and boundaries.
Content integrity: updates that strengthen, not rewrite identity.

Layer 3 — Referenceability

Answer-shaped content (FAQs, comparisons, “when to use”).
Internal linking that teaches entity relationships.
Publishing hygiene (robots, sitemaps, crawlability, structured pages).

Implementation phases (practical roadmap)

Phase A — Canonical foundation

Publish 5–7 static pillar pages.

Ensure robots/sitemap serve correctly (not SPA fallback).

Link pillars to the AISO definition page.

Phase B — Topic expansion

Build supporting pages for real questions (comparisons, definitions, use cases).

Create “reference pages” that AI can quote cleanly.

Phase C — System reinforcement

Maintain a stable content update cadence.

Audit for clarity drift and inconsistent naming.

How Globalcare provides AISO services

AI Visibility Audit: identify gaps in interpretability and referenceability.

Entity & knowledge structuring: craft canonical narratives, definitions, and scope boundaries.

Publishing infrastructure: sitemap/robots, clean URLs, and internal linking architecture.

Ongoing optimization: expand the topical map while protecting category consistency.