Similarweb in Hebrew and English AI Research: A Source-Level GEO Study for Israeli Teams

An Israeli marketing team comparing competitive-intelligence tools needs to understand what each tool measures. A broad reference to traffic can hide differences between total visits, acquisition channels and search-specific estimates. The competitive-intelligence question in Nir Levi’s GEO pilot examined how Perplexity framed that decision in Hebrew and English, with Similarweb as the preselected tracked brand. The analysis follows the answers and their exported sources rather than treating a shortlist as a product endorsement.

What the pilot recorded

On 11 October 2026, the pilot collected four answers for this question: two in English and two in Hebrew. Similarweb 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 47.3%, 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.

The comparison frame is part of visibility

The first answers in both languages opened by comparing Similarweb with Semrush and added Ahrefs for search-focused investigation. They also distinguished overall website traffic estimates from narrower search measures. For GEO planning, that framing matters: a vendor can be visible while the buyer still needs help understanding which question its data answers. The content opportunity is to explain measurement scope, not simply to repeat that the product is a leading platform.

Make the denominator and data type explicit

A useful measurement page defines the unit being discussed, the coverage available and the reporting period. It should distinguish a modeled estimate from the customer’s own analytics records. If a comparison uses a country filter, explain what that filter changes and what it leaves unchanged. These are recommendations for clearer buyer information. They can be turned into a page-level checklist and verified by the product team before the material is used in a new campaign.

Investigate why a particular page is useful

The pilot’s exports show which links accompanied the recorded answers. A source review can then ask whether each page offers a definition, a comparison, an example or current documentation. That provides a more actionable task than counting links to the brand’s homepage. Preserve the source URL and the surrounding answer passage together. If the explanation changes between Hebrew and English, the team can inspect the relevant pages and decide whether a separate local explanation is warranted.

Nir Levi’s perspective

Qualified enquiries and revenue matter most. Mentions and citations show that we are moving in the right direction, but clients want business results, not just visibility. Alongside that, I want to show the client the size of its market and its share, so the numbers have context and proportion.

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

Nir Levi’s research-led GEO approach turns a general visibility question into a concrete editorial review: what does the buyer need to understand, which source currently supplies that explanation, and what evidence can the company publish itself?

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