AI-Readiness Scoring Methodology

Name: friendly4AI GEO/AEO Methodology
Creator: friendly4AI
License: https://friendly4.ai/terms-and-conditions

v4.5 · 2026-05-31

friendly4AI scans websites against 48 parameters across 7categories to produce an AI-readiness score (0–100). The score is a composite of two weighted components: GEO and AEO.

Composite Score Formula

The composite score combines two components using a fixed weighting:

weighted(GEO, AEO)

GEO — Generative Engine Optimization: 60%

AEO — Answer Engine Optimization: 40%

GEO measures how discoverable and understandable the site is for generative AI systems. AEO measures how well the site surfaces as an authoritative answer source. Combined: GEO 60% + AEO 40% = 100%.

Parameter Breakdown

48Total parameters

47Scored

1Informational

Parameter Categories

Each category contributes a weighted share to the composite score. Category-level weights are published; per-parameter weights are not.

Crawlability & Access

crawlability

20%

Discovery & Metadata

discovery

20%

Content Structure

content-structure

15%

AI-Specific Signals

ai-signals

15%

Authority & Trust

authority

10%

Technical SEO

technical-seo

10%

Entity & Schema

entity

10%

Key takeaways

48 parameters across 7 categories, released 2026-05-31.
Composite score = GEO 60% + AEO 40%.
47 scored parameters contribute to the 0–100 score; 1 are informational only.
Category weights are published; per-parameter weights are not.

Explore Further

View all 48parameters →

View changelog →

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GEO/AEO glossary →