Field Tests Prove ChatGPT Ignores JSON-LD Schema — Unique Attributes Boost Google AI Overviews

Field tests prove ChatGPT ignores unique factual data isolated within JSON-LD schema, confirms Thomas Peham.

When practitioners inject custom attributes into the backend code without rendering them on the visible page, OpenAI's models do not retrieve those entities.

Querying ChatGPT for those specific hidden attributes forces the model to hallucinate rather than retrieve the injected facts.

Conversely, the identical schema configuration boosts visibility in traditional Google organic results and Google AI Overviews.

The divergence shows that while Google's architecture processes structured data, ChatGPT requires visible front-end text for entity extraction.

Community replication validates this behavioral gap across multiple sites.

Specific JSON-LD parameter configurations are not disclosed in the source material.