Research & Audits

Systematic intelligence on how AI recommendation systems discover, evaluate, and cite local businesses — with a focus on the Indian professional market.

Published audits are based on direct testing: real queries, real AI outputs, real citation behavior. Not vendor theory.

Active research tracks
AI crawler access patterns in Indian professional websites Active
Schema adoption rates by profession type — Delhi NCR Active
Citation confidence signal mapping across AI platforms Active
Local entity recognition gaps in LLM recommendation outputs Active
Review schema and AI trust signal correlation Planned
Off-site citation authority mapping for Indian SMBs Planned
Published reports
1 report
Upcoming reports
INRADAR-AUDIT-2026-002 Delhi NCR Photographer AI Visibility Audit In preparation
INRADAR-AUDIT-2026-003 Law Firm AI Citation Behavior Study In preparation
"Most AI visibility advice is borrowed from SEO orthodoxy. We prefer to test."

These audits are the empirical foundation behind InRadar's GEO methodology. When we recommend a schema type or cite a citation signal, it's because we've tested it — not because a whitepaper said so. The audits are published publicly so that the findings benefit Indian businesses whether they work with us or not.