The State of GEO — live aggregate data on AI readiness across the web
Generative Engine Optimization (GEO) is the practice of making content citeable by AI assistants. 3LA measures AI-readiness across three layers — Human, Search and AI — and publishes aggregate audit trends monthly. The State of GEO is the open dataset: L1/L2/L3 averages, TLD distribution and the structural elements most often missing.
Monthly aggregate scores: Layer 1 readability, Layer 2 search structure, Layer 3 AI-citability averages across all audited pages.
TLD distribution: which top-level domains score highest and lowest on AI-readiness.
Missing elements: the structured data fields, heading patterns and GEO signals most often absent.
Open for citation: the dataset is published for reference, research and benchmarking.
What the State of GEO measures
This report aggregates pages assessed with the Three-Layer Approach. It separates human clarity, search readiness and AI-readiness signals so teams can see where weaknesses cluster. The audited sample describes the pages included in the platform, not every website on the internet.
Use a benchmark to ask better questions
Compare similar pages and inspect the period and sample behind each result. A readiness score describes detectable page characteristics; it does not prove that an AI assistant has cited that page. Use repeated brand checks and source-level evidence to test whether improvements lead to more visibility.
Frequently Asked Questions
What is the State of GEO?
The State of GEO is a monthly open dataset published by 3LA. It reports aggregate three-layer scores (L1, L2, L3) across all pages audited on the platform, along with TLD distribution and the structural elements most often missing.
How often is the data updated?
Aggregate scores are recalculated monthly from the full audit corpus. The latest reporting period and sample size are displayed alongside every number.
Can I cite the State of GEO data?
Yes. The dataset is published openly for reference, research and benchmarking. Attribution to 3LA / Nettpilot AS is appreciated.
What does AI citation readiness mean?
AI citation readiness (Layer 3) measures whether a page is structured so that AI engines can discover, parse and cite it — including chunk optimisation, answer-first format, verifiable facts and GEO grounding signals.
