What Hebrew and English AI Answers Reveal About Work-Management Content in Israel

When a growing Israeli company researches work-management software, its real question is often how marketing and operations will coordinate a shared process. Nir Levi’s Hebrew-English GEO pilot used that scenario to examine Perplexity’s answers. monday.com was tracked as the category brand, while the prompt remained open to competing platforms. The resulting evidence makes it possible to compare brand presence with the explanations and sources surrounding that presence.

What the pilot recorded

On 11 October 2026, the pilot collected four answers for this question: two in English and two in Hebrew. monday.com appeared in 2 of 2 English answers and 2 of 2 Hebrew answers. Links to its official domain appeared in 2 of 2 English exports and 2 of 2 Hebrew exports. The mean overlap between the two languages’ exported source-host sets was 36.9%, calculated across the two rounds. All four observations used Perplexity Search with the GPT-6.1 Sol model label in fresh incognito conversations.

Source-host overlap is the number of shared hostnames divided by the number of distinct hostnames across the two answer exports. Perplexity’s Copy output is the measured record; grouped on-screen sources may contain additional links.

Look beyond a place on the shortlist

Both first-round openings included monday.com, Asana and ClickUp. The English opening also proposed Wrike or Smartsheet for particular workflow needs. The useful editorial question is therefore more specific than whether a familiar product was named. A team should ask which use case earned it a place, which alternatives appeared beside it, and which buying criteria organized the comparison. Those details provide a much clearer brief for a product page.

Describe the handoff between teams

A cross-functional workflow is a useful unit of content. Explain how a marketing request becomes an approved project, how operations receives the work, and who can see delays or unresolved decisions. Product-approved examples can show these steps without inventing customer success figures. Connect the explanation to current documentation and let readers identify which capabilities belong to their intended configuration. A page built around the handoff can support a more precise evaluation conversation.

Keep a separate record for each language

The pilot retains Hebrew and English answers as separate observations. For a company reviewing its own visibility, this makes it possible to identify a language-specific documentation need without assuming the other version behaves the same way. Save the question, answer, source links and testing conditions together. When a plan or feature changes, update the relevant product material and repeat the original question. Compare the new answer with the saved baseline rather than reconstructing the earlier impression from memory.

Nir Levi’s perspective

First, check which sites are being cited and why. Then identify information missing from the company’s own site and publish useful original content that answers those questions, with real data and examples. The aim is to give AI answers a clearer, better-supported basis for describing the company.

Read the original research

The complete study, paired prompts, evidence downloads and Nir Levi’s commentary are available at https://nirlevi.com/en/research/israeli-geo-hebrew-english/

Put the finding to work

For work-management businesses addressing Israel, the next GEO brief can begin with one real coordination problem and the evidence required to explain it. Nir Levi’s role is to connect that buyer question with an inspectable source review and a practical content assignment.

Explore GEO and AEO consulting in Israel with Nir Levi at nirlevi.com and bring a buyer question to your next review.