What Should an Israeli SaaS Team Put on Its AI Visibility Scorecard?
Start with the customer decision, not the percentage. A buyer comparing analytics platforms for organic search is making a different decision from a buyer comparing mobile measurement partners. Combining those questions into one visibility number lets the choice of questions drive the headline.
Look at two categories in the answers archived for Nir Levi’s October GEO research. Both English mobile-attribution openings named six tracked products. Both English competitor-traffic openings named three. If you combine every product appearance, the mobile category carries twice the weight even though the team asked each question the same number of times.
Choose the weight before reading the results
Give each category a row. Show the prompt, language, number of usable answers, target brand appearances and competing product appearances. For an equal-category score, calculate the proportion within each category first, then average those category scores. For a revenue-priority score, set the category weights with sales before collection and publish them beside the result. Keep a copy of the equal-weight view so a change in priorities cannot masquerade as a gain in visibility.
A market-sizing slide needs its own inputs: the target segment, geography, period, potential account count and price assumptions. None of those comes from how many names fit in an answer. Present observed prompt-panel share on one slide, estimated commercial opportunity on another and actual qualified pipeline on a third. A good executive question then becomes possible: which buyer decision combines a meaningful sales opportunity with a documented information gap?
Study and archived answers: https://nirlevi.com/en/research/israeli-geo-hebrew-english/
