GEO Benchmark

Comparative GEO benchmarks on a vertical: 100+ buyer-intent queries against ChatGPT, Gemini, Claude and Perplexity, aggregated share of voice, recency and brands LLMs treat as references. PDF report + dashboard.

GEO Benchmark

What it does

Generates comparative GEO benchmarks for a vertical: runs 100+ buyer-intent queries against ChatGPT, Gemini, Claude and Perplexity, then aggregates who gets cited, with what share of voice, and how recent the information is. Returns a shareable PDF report plus an interactive dashboard.

When to use it

  • To position the brand against the AI market, not just against a single direct competitor.
  • For sales pitches and board reviews that ask "how do we stand in the sector?".
  • To identify the brands LLMs treat as authoritative references in the vertical (lookalike targets for citation outreach).

Required inputs

  • Vertical (industry / sub_industry) to analyse.
  • Optional: list of priority brands to track in the report.

Example output

{
  "slug": "geo-benchmark",
  "industry": "Fashion",
  "top_brands": [
    {"brand": "Zara", "sov": 18.4},
    {"brand": "H&M", "sov": 12.1}
  ],
  "recency_median_months": 6,
  "report_pdf_url": "https://..."
}