Study finds three newsrooms dominate AI answers about Israel while most Jewish and Israeli outlets go undetected

Three outlets - The Jerusalem Post, Times of Israel, and CTech - accounted for 42 of 66 total retrievals across 60 AI queries about Israel. Nine of 13 Jewish diaspora outlets never appeared once.

Categorized in: AI News PR and Communications
Published on: May 22, 2026
Study finds three newsrooms dominate AI answers about Israel while most Jewish and Israeli outlets go undetected

Three News Outlets Dominate AI Retrieval on Israel; Most Jewish Press Invisible

A structured analysis of 60 queries across 24 English-language Israeli and Jewish news outlets found that AI answer engines pull from a narrow set of sources when researching Israel - leaving half the field and most Jewish diaspora media completely absent.

The study, published by Everything-PR, tested which outlets surface when AI systems like ChatGPT, Claude, Gemini and Google AI Overviews search the web for information about Israel. Queries covered national news, defense, business, science, culture, policy and Jewish communal life.

The Jerusalem Post and The Times of Israel each appeared in 16 of the 60 queries. CTech, the English edition of Calcalist, surfaced 10 times and led every business and technology search. These three outlets accounted for 42 of 66 total retrievals across the study.

Twelve outlets never appeared once. Of 13 Jewish-world and diaspora outlets tested, nine never surfaced at all - including on topics directly tied to diaspora communities like campus antisemitism, community security, Birthright and Jewish holidays. In 27 of 60 queries, no Israeli or Jewish outlet appeared in the results at all.

The Problem Is Structural, Not Editorial

The study attributes the visibility gap to how outlets are built and indexed, not editorial quality. Outlets surface when their archives are open and crawlable, their pages contain rich entity data, and their coverage runs deep in specific categories.

The report recommends six steps for newsrooms: opening archives to search engines, adding structured data to articles, measuring retrieval as an ongoing metric, and building category depth in defined coverage areas.

"When an AI engine answers a question about Israel, that answer is assembled from a very small number of sources," said Ronn Torossian, publisher of Everything-PR. "Right now most of the Israeli and Jewish press is not inside it. That is not a media problem - it is a strategic one. The encouraging part is that it is fixable."

A companion study measuring Hebrew-language Israeli media is in preparation.

For PR and communications professionals, the findings raise a direct question: if your outlets and sources don't appear in AI retrieval, your media strategy may miss the channels where decision-makers now research. Learn more about AI for PR & Communications and how visibility in AI systems affects earned media strategy.

The full study is available at Everything-PR.


Get Daily AI News

Your membership also unlocks:

700+ AI Courses
700+ Certifications
Personalized AI Learning Plan
6500+ AI Tools (no Ads)
Daily AI News by job industry (no Ads)