Scoring Methodology

This page explains how MeshWeave computes AEO, GEO, and AAX, how missing inputs are handled, and how to interpret each score as a diagnostic signal rather than a guaranteed outcome.

How to read this page

MeshWeave uses AEO, GEO, and AAX as diagnostic views into AI visibility risk. These scores do not guarantee ranking, traffic, or conversion. They show where AI systems may fail to crawl, interpret, cite, or act on your content.

Shared composite logic

All three scores use a weighted composite with re-normalization. Factors with no score are excluded, the remaining weights are redistributed, and the result is calibrated to compress inflated upper-range scores.

Rule Behavior
Weighted composite Σ(score × weight) / Σ(weight) using only factors with non-None scores
Missing factors Weights are re-normalized across available factors
Calibration curve 100 × (composite / 100)^1.15 compresses the upper range
Output Capped at 100, rounded to 1 decimal place, plus an auto-only composite

AEO — answer extraction risk

AEO measures how well your content is structured for AI answer engines such as featured snippets, AI Overviews, and voice assistants.

Factor Weight Auto?
Capture Rate 30% No — manual input
Schema Implementation 20% Yes
Content Structure 20% Yes
Query Match 15% No — manual input
Voice Rate 10% No — manual input
Freshness 5% Yes
Score Rating
0–25 Poor
26–45 Below Average
46–65 Average
66–85 Strong
86–100 Excellent

GEO — generative discovery risk

GEO measures how well your content is positioned to be discovered, cited, and referenced by LLMs such as ChatGPT, Claude, and Perplexity.

Factor Weight Auto?
Citation 30% No — manual input
Topical Authority 20% Yes
E-E-A-T Signals 15% Yes
Crawl Access 15% Yes
Content Depth 10% Yes
Entity Consistency 10% Yes
Score Rating
0–25 Invisible
26–45 Emerging
46–65 Visible
66–85 Authoritative
86–100 Dominant

AAX — agent usability risk

AAX measures how well AI agents can understand your site, assess it, and complete meaningful tasks across key pages.

Factor Weight Auto?
Homepage Comprehension 30% Yes
Meta Optimization 20% Yes
Content Delta 20% Yes
llms.txt 15% Yes
Email Validation 15% Yes
Score Rating
0–24 Opaque
25–39 Unclear
40–59 Readable
60–79 Clear
80–100 Fluent

Automatic inputs

MeshWeave scores measurable technical signals from crawl data, structured data, content structure, entity consistency, crawl accessibility, and LLM-based page analysis where AAX is enabled.

Manual inputs

Input Used in Purpose
Capture Rate AEO Featured snippets and AI Overviews
Query Match AEO Natural-language demand alignment
Voice Rate AEO Voice assistant answer selection
Citation GEO Observed LLM citation frequency

Use this methodology as the reference for how the model works, then use your analysis page to see which factors are limiting your site right now.

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