State of AI-Commerce
Are Shopify stores ready for the AI-commerce era? Benchmark based on 202 audits of 53 real stores, analyzed by the Verity Score engine.
Data updated automatically with every new audit. No data is fabricated. Every figure comes from a real audit.
Score distribution
How do the 53 audited stores break down?
The 4 AI-Commerce dimensions
Each store is evaluated across 4 complementary axes.
AI Visibility
49/100Can AI find and index your products? Schema.org, robots.txt, sitemap, llms.txt.
Consistency
55/100Is your data consistent across layers (HTML, schema, meta)?
Agent Readiness
45/100Is your store ready for AI shopping agents (ChatGPT Shopping, Perplexity)?
AI Buyer Score
53/100Would an AI recommend your product to a potential buyer?
Post-AI-click experience
When an AI recommends a product, the visitor lands on the product page. What do they see? Average score: 64/100 (n=45).
Key insights
The most striking findings from our benchmark.
of stores have no llms.txt file
This file helps LLMs understand your catalog. Only 6/45 stores have deployed it.
Average AI comprehension score
Product pages speak to humans, not to AI. Conversational content remains weak.
Trust signals extractable by AI
On average, 77% of trust signals are visible to AI crawlers.
Average sitemap health
Sitemaps are generally well maintained. This is one of the few strong points in the benchmark.
Positive signals per store
Out of 40 total findings per audit, 11 are positive.
of stores support the UCP protocol
The Universal Commerce Protocol (Google/Shopify) has not been adopted yet.
Top 5 most common issues
The zones that most frequently come up as problematic.
Stale / outdated content
43/45 stores
Incomplete Schema.org
41/45 stores
No llms.txt file
37/45 stores
New products invisible to AI
35/45 stores
Degraded post-AI-click experience
33/45 stores
Breakdown by industry
The 53 audited stores span 13 different industries.
Methodology
This benchmark is generated automatically from audits performed by the Verity Score engine. Each audit analyzes 39+ zones of a Shopify store: structured data (Schema.org), AI crawler accessibility, post-click experience, trust signals, conversational content, and agentic readiness.
Data is anonymized, no domain names or brands are revealed. Only aggregated statistics are published. The benchmark updates automatically with every site build, incorporating the latest audits performed.
The current sample (53 stores, 202 audits) is primarily composed of French stores in the beauty/cosmetics sector. The results are not representative of global e-commerce. They provide a snapshot of the French-speaking Shopify market.
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