Benchmark

The average site scores 26/100 for agent product-findability

Across 252 sites run through the Serge scanner, the average agent product-findability score is 26/100 and the median is 25/100. In plain terms: on most sites, an AI agent may not be able to find a product and add it to the cart.

What this means

A score of 26/100 is the gap between a sale and a silent loss. When a customer asks Claude, ChatGPT, or Operator to buy something, the agent either completes the task or gives up — and the failure never shows up in GA4. Most sites in this cohort score low because their product data, navigation, or cart were not built for a non-human shopper. The score is a measurement, not a verdict: every failed check ships with a specific fix.

Methodology

• Cohort: the 252 distinct domains run through the Serge scanner to date. No site is named, ranked, or identified — only aggregate figures are published.
• Metric: a deterministic 0-100 product-findability score from a crawler plus static analysis (structured data, navigation, semantic HTML, cart and form accessibility, bot posture). No AI runs at scan time.
• Sampling: the most recent scan per domain, so each site is counted once.
• Privacy: figures are aggregate only. An individual site score is never published here.

Cite this benchmark

Serge AI-Agent Product-Findability Benchmark (2026): across 252 sites scanned, the average score was 26/100. Source: serge.ai/benchmark