How aisle measures AI visibility
Written for humans. No score without a method behind it.
What we measure
For each product category we maintain a library of real buyer questions (“best air purifier for allergies?”, “best running shoes under ₹5,000 in India?”). Every week we put those questions to five AI surfaces — ChatGPT, Claude, Gemini, Google AI Overviews, and Google AI Mode — and record which brands each answer recommends.
Why we ask the same question many times
AI answers vary run to run: the same question can mention your brand once and skip it the next time. A single check is noise. We ask each question multiple times and report your visibility as a percentage with a 95% confidence range. If two numbers’ ranges overlap, we say so instead of pretending one is bigger. We only alert you when a change is statistically real.
Markets are never mixed
A US shopper and an Indian shopper get different AI answers, so we sample each market separately — US questions with US locations and desktop Google, Indian questions with Indian phrasing (₹ price points, local brands) and mobile-first Google, which is how India actually shops. Your US number and your India number are two different facts, and we never average them.
What we honestly can’t measure
- Personalized answers. A person’s own chat history shapes their answers, and no tool can see into private accounts. We measure the logged-out baseline — the same way SEO rank trackers have always worked. We partially cover this with persona-flavored questions (“…for a beginner”, “…on a budget”).
- Gemini’s exact location behavior. Google’s Gemini API doesn’t accept a location setting, so market targeting there comes from how questions are phrased. The two Google Search surfaces (AI Overviews, AI Mode) are fully geo-targeted.
- App vs. API differences. Our ChatGPT numbers come from OpenAI’s API with web search — a close proxy for the app. We run periodic calibration checks against the real app and publish the agreement rate here.
Where the homepage statistics come from
- 46% of AI users start purchase research on AI platforms — MarTech, AI shopping stats 2026
- 50% of US shoppers bought after researching with AI — Elogic, ChatGPT commerce statistics (Semrush survey, Dec 2025)
- 100M+ weekly ChatGPT users in India — TechCrunch, Feb 2026
Questions?
Ask us anything via the early-access form on the homepage — methodology questions get answered first.