Akshay Dahiya / AD
Research

Whitepapers on AI retrievability, published as the tooling was built.

Original research on how AI systems crawl, parse and cite the web, written alongside the audit tools that test it.

R_WP001 / GEO Retrieval Research Series

Crawl freshness vs AI visibility

A six-month benchmark across seven AI platforms and 14,000 prompts. Median first-citation latency was 14 days, and authority beat freshness as a retrieval signal.

R_WP002 / GEO Retrieval Research Series

Multi-hop citation paths in AI retrieval

45.2% of AI responses require multi-page synthesis. Perplexity and Copilot lead every platform tested, and B2B SaaS queries synthesize far more broadly than e-commerce.

R_WP003 / GEO Retrieval Research Series

What AI actually reads on your webpage

LLMs retrieve only 12 to 45% of the average webpage. Introductions get retrieved in 88% of cases, conclusions in just 26%.

R_WP004 / GEO Retrieval Research Series

How LLMs recommend local businesses

60,000 prompt executions across six platforms found no single AI ranking system: 58% of recommended businesses appear on only one platform.