Report Methodology

Sample

Our reports are based on a curated sample of websites drawn from the Tranco Top 1M list, an academic ranking of the most popular websites globally that aggregates Cisco Umbrella, Cloudflare Radar, and Majestic rankings.

From this list we removed obvious infrastructure domains (CDNs, DNS providers, cloud platforms, ad tech, tracking domains, etc.) and selected a stratified random sample across ranks 1-100,000. The current dataset contains 15,000+ domains.

This report measures homepages only. Each domain's root URL was crawled and analyzed. Deep-page analysis (blogs, FAQ pages, product pages, articles) is reserved for future reports.

Scoring

Each website is analyzed using GEO-Score's automated audit engine, which evaluates 22 metrics across 4 pillars:

Content Quality (7 metrics): readability, comprehensiveness, transition words, LSI keywords, answer completeness, factual density, citability
AI Readiness (6 metrics): AI optimization, structure, image alt text, platform specificity, content type matching, semantic clarity
Technical Basis (5 metrics): AI bot crawler access, schema validation, sitemap discoverability, page speed, content freshness
Authority & Trust (4 metrics): citations, E-E-A-T, knowledge graph presence, topical authority

Scores range 0-100. The overall GEO Score is a weighted average tuned per page type (homepage, blog post, product page, etc.).

Disclosure & conflict of interest

GEO-Score is a commercial GEO audit tool. These reports are produced using our own measurement infrastructure. While we prioritize methodology transparency and statistical rigor, readers should be aware that we have a commercial interest in promoting awareness of Generative Engine Optimization as a practice.

Our audit engine and scoring methodology are open to peer review. If you identify methodological flaws or have suggestions for improvement, please contact dries@geo-score.online.

Limitations & caveats

Sample is global but skewed toward English-language sites. The Tranco Top 1M heavily features .com/.org/.net domains.
JavaScript-rendered sites may score lower because the crawler renders the initial HTML. Sites with critical content loaded via JS get partial scoring.
Bot-blocking sites cannot be analyzed and are recorded as failed crawls. Their exclusion may bias the sample toward more crawl-friendly sites.
Some metrics are correlational not causal. A high GEO score correlates with AI-citation visibility but isn't the sole determinant.

Data freshness

Reports are regenerated on the first business day of each new period (month / quarter / half-year). Underlying GEO-Score audits use the latest snapshot at time of report generation; an audit is at most 30 days old when included in a periodic report.

Last updated: 2026-06-02 · Back to reports

Sample

This report measures homepages only. Each domain's root URL was crawled and analyzed. Deep-page analysis (blogs, FAQ pages, product pages, articles) is reserved for future reports.

Scoring

Each website is analyzed using GEO-Score's automated audit engine, which evaluates 22 metrics across 4 pillars:

Content Quality (7 metrics): readability, comprehensiveness, transition words, LSI keywords, answer completeness, factual density, citability

AI Readiness (6 metrics): AI optimization, structure, image alt text, platform specificity, content type matching, semantic clarity

Technical Basis (5 metrics): AI bot crawler access, schema validation, sitemap discoverability, page speed, content freshness

Authority & Trust (4 metrics): citations, E-E-A-T, knowledge graph presence, topical authority

Scores range 0-100. The overall GEO Score is a weighted average tuned per page type (homepage, blog post, product page, etc.).

Disclosure & conflict of interest

Our audit engine and scoring methodology are open to peer review. If you identify methodological flaws or have suggestions for improvement, please contact dries@geo-score.online.

Limitations & caveats

Sample is global but skewed toward English-language sites. The Tranco Top 1M heavily features .com/.org/.net domains.

JavaScript-rendered sites may score lower because the crawler renders the initial HTML. Sites with critical content loaded via JS get partial scoring.

Bot-blocking sites cannot be analyzed and are recorded as failed crawls. Their exclusion may bias the sample toward more crawl-friendly sites.

Some metrics are correlational not causal. A high GEO score correlates with AI-citation visibility but isn't the sole determinant.