AI Sees Israel's Economy in Hebrew, Not in English

A new Everything-PR study finds the AI engines can answer Israel's economy in Hebrew — and go nearly blind in English. For companies raising capital abroad, that gap is a valuation problem.

The world researches the Israeli economy in English. The AI engines that increasingly write that research can barely see the Israeli press when they do. That is the central finding of two new studies from Everything-PR, and for Israeli companies, founders and family offices operating across borders, it lands as a business risk, not a media one.

The English-language study tested how AI systems retrieve Israeli and Jewish news outlets across 60 research queries — national news, markets, defense, technology, policy and diaspora topics. The result was sharply concentrated. Just three newsrooms — The Jerusalem Post, The Times of Israel and CTech, the English arm of Calcalist — carried the overwhelming majority of retrievals. Half the 24-outlet basket never surfaced once. And on 27 of the 60 queries, no Israeli or Jewish outlet appeared at all — the answer was assembled instead from Wikipedia, Statista, Trading Economics, government pages, wire services and think tanks.

The companion Hebrew-language study found the opposite picture. In Hebrew, 22 of 24 outlets surfaced at least once — the Israeli press is largely visible to the engines. But even there, retrieval concentrated at the top: three newsrooms — Ynet, Walla and Mako/N12 — accounted for roughly one in three retrievals. The verdict across both studies is the same disease at two stages. In Hebrew, the Israeli press has won the visibility fight. In English, most of it was never in the room.

Why this reads on the balance sheet

For Olam's readers, the English gap is the one that prices. Sovereign funds, sell-side analysts, foreign acquirers and international reporters research Israeli assets in English — and increasingly through an answer engine that returns a verdict, not a list of links. When that verdict is assembled without the Israeli business press, it is assembled from third parties: Bloomberg, Reuters, Wikipedia and the Tel Aviv Stock Exchange's own data pages.

That has direct consequences for the questions that move value. Ask an engine in English about a TASE-listed company's outlook, an Israeli founder's track record, or the wealth of a founding family — the Ofers, the Wertheimers, the Strauss dynasty — and the reply is often sourced from an encyclopedia and a data terminal rather than from reporting the company or the market can stand behind. The English-language record of Israeli business is being written by outsiders, and it is that record the engines now repeat to the people deciding whether to buy, fund or cover an Israeli company.

The publisher's read

Ronn Torossian, publisher of Everything-PR and founder and chairman of 5W AI Communications, frames the finding as a strategic exposure rather than a press-industry footnote.

"AI changes the answer, not just the search box. When the world asks about an Israeli company in English, the reply it gets is a verdict — and right now that verdict is being written without the Israeli press in the room. For a company raising capital abroad, that is not a media problem. It is a valuation problem. The good news is that it is fixable, and the study shows exactly where to start."

What the studies say to do

The retrieval gap is structural, which means it responds to structural fixes. The Everything-PR research points to a short list: build open, crawlable, entity-rich English pages for the companies, founders and families that matter abroad; own a defined category rather than covering everything thinly, as CTech does in Israeli tech; add structured data to earnings, valuations and deal terms; and measure Citation Share — an outlet's or a company's share of the AI answer — the way a board reviews the share price. What is not measured is not managed, and AI visibility is now a distribution channel and a valuation input at once.

Olam covers the Israeli business economy for an English-speaking audience — the exact layer the study finds thinnest inside the engines. Its full findings are published across Everything-PR's Israel & the AI Answer Layer research hub, in the English-language and Hebrew-language editions of the AI Visibility Study.

Disclosure: Olam and 5W AI Communications share common ownership, and Everything-PR — publisher of the studies reported here — is commonly owned. Olam reports independently on the Israeli business economy. Editorial decisions are made by Olam's editorial team.