How the Magpire Index measures AI visibility
Magpire audits how accounting firms appear in AI-generated search results. Every Magpire Audit and the aggregate Magpire Index Report use the same scoring methodology: a 0–100 Index built from five weighted categories, measured across four AI engines — ChatGPT, Claude, Gemini, and Perplexity.
Methodology sections
Scoring model
The Magpire Index is a 0–100 composite score built from five weighted categories. Each category measures a distinct dimension of AI visibility.
Data collection
Every Magpire Audit queries four AI engines — ChatGPT, Claude, Gemini, and Perplexity — with buyer-intent prompts mapped to the firm's city, specialism, and service lines.
Weightings & rationale
Why some categories carry more weight than others, how the weights were calibrated, and the reasoning behind the current allocation.
Limitations & caveats
Every measurement method has boundaries. Here we document what the Magpire Index does — and does not — measure.
Transparency & reproducibility
Methodology is open, the prompt templates are documented, and the anonymised aggregate statistics are published publicly on the Magpire Index Report.
See how your firm scores
Run a free Magpire Audit to see where your firm sits on the same 0–100 Index — no credit card needed.
Explore anonymised aggregate data on the Benchmarks hub, the Magpire Index Report, or the statistics index.
