Which AI models does the GCR Index score for?

The GCR Index scorer evaluates citation readiness for ChatGPT (GPT-4o), Gemini, Perplexity, Claude (Claude 3.7), DeepSeek, Mistral, and Meta AI. The scoring methodology is calibrated against each model's retrieval and citation behavior.

Is the GCR Index scorer free to use?

Yes. The GCR Index scorer is free to use, requires no registration, and needs no API key. It is an open research initiative.

What does a high GCR score mean?

A high GCR score (70–100) indicates that your content has strong structural and semantic properties that make it likely to be cited by AI systems. This includes high information density, explicit factual anchoring, clear Q→A heading structure, and low keyword stuffing.

How is the GCR Index different from traditional SEO?

Traditional SEO optimizes for search engine ranking (PageRank, backlinks, keyword density). The GCR Index optimizes for AI citation readiness: how likely an LLM is to retrieve and cite your content as a source. It focuses on semantic density, entity salience, and extractability.

GCR Index™

How likely will AI cite your content? The GCR Index™ scores citation readiness for ChatGPT, Gemini, Perplexity, Claude, DeepSeek, and Meta AI.

The composite formula (v2.1) is: GCR = 0.55×GeoContent + 0.20×AICitability + 0.15×TopicalAuthority + 0.10×Readability. GEO Content is scored across 6 sub-metrics: sentence autonomy, information density, factual anchoring, fanout query coverage, navigation clarity, and semantic uniqueness.

The scoring methodology is transparent, research-backed, and free to use. No registration required. Tested on n=2,847 articles.

Open the GCR Scorer → | Explore Methodology →