Mobile Attribution in Israeli AI Answers: What Nir Levi’s AppsFlyer-Focused Pilot Measured

For an app company in Israel, researching paid user acquisition is also a research problem about measurement. The mobile-attribution question in Nir Levi’s Hebrew-English GEO pilot asked which platforms a buyer should compare and requested sources for the trade-offs. AppsFlyer was tracked as the category brand without being inserted into the prompt. This setup records whether the brand appears naturally within the tested scenario and keeps that outcome separate from a link to its own domain.

What the pilot recorded

On 11 October 2026, the pilot collected four answers for this question: two in English and two in Hebrew. AppsFlyer 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 26.8%, 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.

Use the buyer’s task to define the content

The first Hebrew answer opened with AppsFlyer, Adjust and Singular, then discussed other options for particular requirements. It framed the category around mobile measurement rather than media buying itself. That distinction gives an editorial team a useful starting point: explain the job a platform performs, the information it needs and the decisions it can support. Avoid relying on a long feature list to communicate the category’s basic purpose.

Create inspectable implementation explanations

A strong practical brief can ask for current documentation covering data flows, integration responsibilities and the interpretation of reporting fields. Each explanation should have a product owner who can verify it. The content can then show how a buyer evaluates fit without inventing a performance uplift or implying that one configuration works everywhere. Israeli commercial context belongs in the audience and implementation discussion, while technical terminology should stay consistent across the Hebrew and English material.

Keep mention, source and conversion records separate

The pilot records literal brand presence and exported official-domain links as different fields. A company can add its own referral and enquiry records later, using definitions agreed with its commercial team. An answer mentioning a platform is not itself a demo request, and a cited page is not automatically the page that receives a visit. Keeping these stages distinct helps a team identify whether its next task concerns discoverability, explanation quality or the journey after a visitor arrives.

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 Israeli app businesses, Nir Levi’s pilot provides a starting format for reviewing AI-assisted vendor research: ask a concrete question, retain the full answer, inspect its evidence, and turn a verified information gap into a content task.

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