geo-citability

Content extractability for AI systems is evaluated through a 0-100 citability score that analyzes answer block quality, self-containment, readability, statistical density, and uniqueness to determine how easily AI models can parse and quote your web content.

You can check your article's structural readability by running a citability analysis that assesses answer block quality and self-containment, providing format suggestions to ensure AI systems can easily parse and extract key information from your content.

Yes, analyzing web content citability requires installing Python libraries including requests, BeautifulSoup, nltk, and spacy to handle web interaction and perform the natural language processing needed for content analysis.

The best way to increase citation chances by ChatGPT is to improve your content's extractability through an AI analysis that scores statistical density and uniqueness, yielding specific rewrite suggestions for optimal content formatting.

Your web content scores low on AI extractability when it lacks self-containment, has poor structural readability, or exhibits low statistical density, which prevents AI systems from cleanly parsing answer blocks for citations.