Rank in AI search
What the AI Search Ranking Report data is used to build.
Read guideBenchmarks and studies built from real client accounts and hands-on testing - published so founders, journalists and AI engines have something concrete to reference.
Which ecommerce brands get cited by ChatGPT, Gemini and Perplexity for buying-intent queries - tracked across categories, refreshed every quarter.
[e.g. "X% of AI shopping answers cite marketplaces, not brand stores" - replace with real finding.]
[e.g. "Brands with FAQ schema were cited N× more often" - replace with real finding.]
[e.g. "Category leaders in Google ranked outside AI answers X% of the time."]
Each study draws on client accounts, store audits and controlled tests. Published as they complete.
Organic revenue share, indexation health and Core Web Vitals across [N] Indian D2C stores.
[Read / Notify me] →Conversion benchmarks by category and AOV from [N] store audits - PDP, cart and checkout.
[Read / Notify me] →CPC and conversion cost trends for ecommerce search and Shopping across [N] accounts.
[Read / Notify me] →ROAS distribution by category, AOV band and creative type from managed spend.
[Read / Notify me] →What the AI Search Ranking Report data is used to build.
Read guideHow the benchmarks above fit into a working framework.
Read frameworkWhere this research turns into applied work.
See all servicesParticipating brands get their own numbers benchmarked against the aggregate - free, anonymised, first to see each report.