# GeoXylia
> The scoring model behind every GeoXylia audit: 9 dimensions, the evidence each one uses, and how the overall AI-visibility score is calculated.
Transparency First

## How the AI Visibility Score
is calculated.

GeoXylia scores your site across 9 dimensions of AI readiness (Foundation + Visibility). Here&#x27;s the full breakdown of what we measure, why it matters, and what a good score looks like.

//// HOW IT WORKS

## How scores are calculated

- 1

AI citation readiness

The primary score measures how quotable your content is - passage-level structure, unique and checkable claims, and the authority signals AI retrieval weighs when it selects a source. It is a readiness measurement, not a live citation sample.

- 
- 2

9 dimensions

Each dimension is independently scored. Foundation tier (technical, accessibility, readability) measures AI crawler access. Visibility tier (citability, entity, brand, content, platform) measures AI citation readiness.

- 
- 3

The primary score maps to a letter grade + action plan

Readiness score → A ≥ 60, B ≥ 50, C ≥ 35, D ≥ 20, F < 20. Below the grade, you get ranked recommendations ordered by impact.

- 

Why these weights? AI Citation Score (25%) and Answer Readiness (20%) together account for nearly half the score because passage-level retrieval and direct-answer structure are the most consistent differentiators between cited and non-cited content. We continuously update dimension weights as AI platforms evolve.

//// THE 9 DIMENSIONS

## The audit: 9 dimensions of AI readiness

Ranked by weight — the dimensions at the top have the biggest impact on your overall score.

#0

## AI Citation Score

%

Passage retrieval, quote uniqueness, and authority signals. Whether AI engines actually cite your content for relevant queries.

✓ Good:

Your site appears in search-grounded answers on 2+ engines. AI platforms recognize you as a cited source.

#1

## Answer Readiness / LLMO

%

Entity precision, synthesis readiness, contextual density, FAQ structure, question-based headings. Optimized for AI synthesis and retrieval.

✓ Good:

Pages answer target questions in the first 2-4 sentences, use question-based H2s, and include FAQ sections.

#2

## Brand Signals

%

Unlinked brand mentions, citation context quality, entity consistency across the web. One of the widest gaps in our 476-site benchmark (28 points).

✓ Good:

Brand mentioned authoritatively by third-party sources in contexts directly related to core topics.

#3

## Entity Clarity

%

Schema.org depth, Wikipedia/Wikidata presence, E-E-A-T signals, knowledge-graph alignment.

✓ Good:

Organization represented in Wikidata, Schema.org markup is comprehensive and error-free.

#4

## Content Depth

%

Topic coverage, Q&A alignment, paragraph depth, factual density, information gain.

✓ Good:

Content covers topic end-to-end with original analysis, data, and named entities.

#5

## Platform Readiness

%

llms.txt presence and quality, robots.txt AI-crawler directives, headless render fidelity, agentic discovery.

✓ Good:

robots.txt allows all AI retrieval crawlers; content renders identically with and without JS.

#6

## Technical Foundation

%

Core Web Vitals, HTTPS, structured data validity, mobile readiness, TTFB.

✓ Good:

All Core Web Vitals in the good range, HTTPS enforced, valid structured data.

#7

## Source Authority

%

Outbound link quality, data source citations, expert quotes. Named-source citation is itself a citation signal.

✓ Good:

Content cites named sources with dates; statistics carry attribution.

#8

## Media Readiness

%

Image alt text, ARIA labels, descriptive media ratio.

✓ Good:

Every image has descriptive alt text and all interactive elements have ARIA labels.

//// GRADES

## What each grade means

Your overall AI Visibility Score and what to prioritize at each level.

A

Strong

Score 60+

Strong AI visibility — your content is being cited. Keep monitoring and fix remaining diagnostic issues.

B

Good

Score 50–59

Good fundamentals with clear room to grow. Focus on the top impact recommendations to move into A territory.

C

Average

Score 35–49

Identifiable gaps costing you AI citations. Targeted fixes in the highest-impact areas will move the needle.

D

Weak

Score 20–34

Significant foundational work needed. Start with platform accessibility and content depth.

F

Poor

Score Below 20

Structural barriers preventing AI systems from accessing or citing your content. Begin with technical foundation.

An honest note on methodology

GeoXylia&#x27;s scores are derived from structural analysis and content pattern recognition. We do not have access to proprietary AI model ranking data. What we do have is a set of signals that correlate across thousands of audited sites with whether a site appears in AI-generated responses. We continuously update our weights as AI platforms evolve. GeoXylia is not affiliated with or endorsed by any AI platform.

//// THE 476-SITE BENCHMARK

## How the State of GEO 2026 dataset was built

Every headline figure in the State of GEO 2026 report comes from this dataset, published in full as a public CSV (47
## Links
- [GXGeoXylia](/)
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- [Zhenliang Lim — Founder on LinkedIn](https://www.linkedin.com/in/zhenlianglim)
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- [ChatGPT &amp; Claude](/blog/chatgpt-claude-seo)
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Generated by [GeoXylia](https://geoxylia.com) — AI Visibility Platform