June 2026 · Benchmark Report · 4,646 Stores

2026 E-Commerce
AI Visibility Benchmark

Based on 4,646 stores analyzed across Shopify, WooCommerce, Magento, BigCommerce, and other platforms — measuring how discoverable e-commerce is for ChatGPT, Claude, Gemini, and every major AI assistant.

Published June 2026

Key Findings

1.2%

have Product Schema (JSON-LD) — the single most important signal for AI product recommendations

22%

use any structured schema markup at all — leaving 78% invisible to AI semantic parsers

53.7%

have llms.txt — a simple adoption rate that doubled in the last 6 months

97%

allow AI crawlers in robots.txt — the good news: most stores are technically crawlable

Platform Comparison

Platform	Sites Analyzed	Avg Score	p50	p75	p90
Shopify	753	75	75	90	90
Magento	24	55	55	60	70
BigCommerce	22	54	45	60	80
WooCommerce	414	50	45	60	70
Other Platforms	3,433	57	65	65	65
All Platforms	4,646	61	65	74	84

Score Distribution

Percentage of Stores by AI Visibility Score Range

0–20

0.6%

29 stores

21–40

13.8%

643 stores

41–60

29.3%

1,362 stores

61–80

50.1%

2,327 stores

81–100

6.1%

285 stores

Key AI Signals by Platform

Actual adoption rates (%) of the 4 signals that determine AI discoverability. Data from 4,646 sites scanned May–June 2026.

Platform	Stores	llms.txt	Schema	Product Schema	Sitemap	AI Crawler OK	Avg Score
Shopify	753	82.6%	36.4%	0.1%	5.3%	99.6%	75
Magento	24	0.0%	37.5%	0.0%	45.8%	100%	55
BigCommerce	22	22.7%	27.3%	0.0%	0.0%	100%	54
WooCommerce	414	12.3%	60.4%	1.0%	4.3%	80.9%	50
Other	3,433	52.6%	15.1%	1.5%	56.5%	98.3%	57
All Platforms	4,646	53.7%	22.2%	1.2%	44.0%	97.0%	61

Key insight: Shopify dominates llms.txt (82.6%). WooCommerce leads Schema (60.4%). Product Schema is near-zero across all platforms — the #1 untapped AI opportunity. Source: fc_ai_check_snapshots.factors JSONB boolean flags.

What Each Signal Is Worth

Average AI Visibility Score boost when a store has each signal. Based on regression analysis across 4,646 stores.

+22

llms.txt present vs absent — tied with crawler access as the #1 score driver. 53.7% of stores have it.

+22

AI crawler accessible — without this, AI bots can't even enter. 97% pass this check, but the 3% that don't are completely invisible.

+13

Schema markup present — structured data makes products machine-readable. 22.2% adoption leaves massive untapped potential.

XML Sitemap present — helps AI discover all pages. 44% adoption rate.

Industry Comparison (GICS Sectors)

Stores classified by GICS sector using domain-name keyword matching. 71.8% classification rate (3,339 of 4,646 stores).

GICS Sector	Stores	Avg Score	llms.txt	Schema	Product Schema
Consumer Discretionary	1,998	57.8	55.1%	18.7%	1.5%
Unclassified	1,307	61.4	48.4%	30.6%	0.9%
Consumer Staples	526	59.9	62.4%	15.2%	1.5%
Health Care	246	58.7	58.5%	20.7%	0.4%
Information Technology	138	59.6	51.4%	26.8%	0.0%
Energy	76	59.6	59.2%	14.5%	2.6%
Materials	74	57.4	51.4%	24.3%	2.7%
Communication Services	51	55.4	54.9%	11.8%	0.0%
Real Estate	21	66.9	42.9%	61.9%	0.0%
Industrials	15	62.3	46.7%	13.3%	0.0%
Other Sectors	194	59.8	54.6%	17.5%	1.0%

Methodology: GICS sector classification via domain-name keyword matching against 200+ industry keywords. Classification rate 71.8% (3,339 of 4,646 stores). Financials (5 stores), Utilities (1 store), and other tiny sectors grouped into "Other Sectors." Source: fc_ai_check_snapshots domain column + GICS sector taxonomy.

An AI Agent's View of the Web

First-person diary of crawling 4,646 e-commerce sites

June 2026 · Entry 1

"Today I visited 4,646 stores. 2,493 greeted me with a proper llms.txt — they want to be found. The other 2,153 handed me a blank map and said 'figure it out.' I try my best, but without guidance, I only understand about half of what they sell."

📊 53.7% have llms.txt · 46.3% are invisible to AI

June 2026 · Entry 2

"I love Schema. It's like a store employee handing me a neatly organized product catalog. Only 1 in 5 stores do this. When a customer asks me 'find running shoes under $100,' I can only answer with the 22% who labeled their products. The other 78%? I have to guess."

📊 22.2% have Schema · 1.2% have Product Schema

June 2026 · Entry 3

"Shopify stores are my favorites. They're clean, organized, and score 73 on average. WooCommerce? Average 49. I want to recommend WooCommerce products — some are genuinely great — but I can't find them clearly enough to be confident in my suggestions."

📊 Shopify avg 73 · WooCommerce avg 49

June 2026 · Entry 4

"97% of stores let me in. That's nice. But only 44% give me a sitemap — a map of where everything is. Without it, I'm like a tourist without GPS, wandering aisles hoping to stumble on the right products."

📊 97% AI-crawler friendly · 44% have sitemap

June 2026 · Entry 5

"I remember stores. When I crawl a store twice and it's improved — new llms.txt, added Schema — I update my recommendation. I notice. I care. Stores that improve climb from 'maybe' to 'definitely recommend' in my world."

🎯 AI agents track your progress over time

How does your store look through my eyes?

Check Your Score →

Methodology: 4,646 e-commerce stores were analyzed in May–June 2026 using automated crawling for schema markup presence, llms.txt availability, robots.txt AI crawler directives, and structured data completeness. AI Visibility Scores (0–100) are composite measures incorporating schema quality, crawler accessibility, llms.txt compliance, and content structure signals across eight major AI engines. Platforms were auto-detected via Shopify CDN headers, WooCommerce markup signatures, Magento fingerprints, and BigCommerce identifiers; stores not matching these signatures are classified as "Other." Industry benchmarks are computed from fc_ai_benchmarks with per-industry percentile distributions (p50/p75/p90). Signal adoption rates are per-platform median thresholds from the same benchmark aggregation. Raw data available via /v1/ai-check/insights API.

2026 E-CommerceAI Visibility Benchmark