Source reliability for AI
Source reliability for AI refers to the criteria by which a language model evaluates and selects the information it incorporates into its responses. These criteria include domain reputation, data consistency, and citation frequency.
In practice
A model such as Claude or GPT-4 does not cite sources at random: it favors domains perceived as authoritative in their sector, information that is consistent across multiple sources, and recent content. For an SEO agency, this means that publishing original studies, earning mentions in specialist publications, and keeping data current increases the probability of being retained as a reliable source. Authority as perceived by AI is built the same way as classical SEO authority.