Methodology — MeshWeave

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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.

Weighted composite — Σ(score × weight) / Σ(weight) using only factors with non-None scores
Re-normalization — when a factor is unmeasurable, its weight is redistributed across the remaining factors
Calibration — the composite is passed through a power curve that compresses the upper range, so near-perfect scores require near-perfect factors
Auto vs. manual — free scans score auto-measurable factors only; manual inputs (citation frequency, capture rate, …) complete the picture for full audits

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 whether a structured AI evaluation can understand your site, assess the offer, and identify a credible next step from key pages. It does not test transactions or operate an interactive browser agent.

Factor	Weight	Auto?
Homepage Comprehension	35%	Yes
Meta Optimization	20%	Yes
Content Delta	20%	Yes
llms.txt	5%	Yes
Email Validation	10%	Yes
Contactability	10%	Yes — heuristic

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