Live data · scanned weekly
Viclaro Atlas
Public rankings of how ChatGPT, Claude, Gemini, and Perplexity recommend businesses in each category. 25 prompts × 4 models × 2 samples per scan run. 95% Wilson confidence intervals. Methodology versioned. Reproducible.
Live rankings
Reproducible
Every citation traces to a verbatim LLM response. Same prompts in, same numbers out. Public JSON API.
Honest CIs
95% Wilson intervals shown next to every rank. Long-tail firms flagged below threshold. No false precision.
Cross-LLM consensus
Per-model breakdowns surface which LLMs disagree — a firm cited only by Perplexity is a different signal than one cited by all four.
How it works
For each (city, category), we send 25 buyer-style questions to ChatGPT, Claude, Gemini, and Perplexity — twice each, with different sessions — for a 200-slot scan run. We parse which businesses each model cites, fuzzy-match against a pre-harvested firm database, and rank by recommendation share.
Prompts are grouped into 5 intent buckets (broad authority, specific need, process, style/approach, conversational). Per-bucket counts surface which buyer questions each firm wins on. Methodology is versioned — changes increment the version and snapshots from different versions are not directly comparable.