AI Commerce Index

The open methodology for measuring e-commerce AI readiness.

51 checks across 5 weighted dimensions that measure how discoverable, understandable, and recommendable an e-commerce store is to AI shopping assistants like ChatGPT, Perplexity, and Google AI Overviews.

---

Status

Public Beta v0.74 - This methodology is under active development. Check definitions, weights, and scoring may change based on real-world validation and community feedback.

Aspect	Status
Version	0.74 (Public Beta)
Stability	Beta - expect changes
Check Definitions	51 defined, being validated
Weights	Experimental - subject to adjustment
Documentation	In progress
Contributions	Feedback welcome via Issues

---

Why AI Readiness Matters

AI shopping assistants are changing how consumers discover products:

• ChatGPT recommends products in conversations
• Perplexity provides shopping answers with citations
• Google AI Overviews summarize product information
• Voice assistants guide purchasing decisions

These systems evaluate stores based on structured data, trust signals, and content quality. The AI Commerce Index provides a transparent framework to understand and optimize for these evaluations.

---

The 5 Dimensions

Dimension	Weight	Question	Checks
AI-ACCESS	10%	Can AI systems crawl your content?	8
AI-ENTITY	15%	Does AI recognize your brand?	8
AI-CONTENT	20%	Is your content citable by AI?	8
AI-SHOP	35%	Can AI recommend your products?	10
AI-TRUST	20%	Should AI trust your business?	17

View full dimension documentation

---

Quick Start

Understanding Your Score

Scores range from 0-100:

Score	Rating	Meaning
80-100	Excellent	AI systems can confidently recommend your store
60-79	Good	Most AI features work, minor improvements possible
40-59	Fair	Some AI limitations, optimization recommended
0-39	Poor	Significant barriers to AI discovery

Check Your Store

Get your AI Discovery Score:

• Free tool: aidiscoveryscore.com
• Platform: risify.net

---

Documentation

Document	Description
Methodology	How scoring works, weights, and calculations
Dimensions	Detailed explanation of each dimension
All Checks	Individual check documentation (51 files)
Sample Report	Example output format

---

Check Categories

Critical Checks (Score Impact: 20-25 points)

Issues that significantly impact AI discoverability:

• AI-ACCESS-001 - AI Search Crawlers Blocked
• AI-SHOP-001 - No Product Schema
• AI-SHOP-002 - Missing Product Price
• AI-TRUST-002 - Missing SSL Certificate

Warning Checks (Score Impact: 10-15 points)

Important issues that affect AI recommendations:

• AI-ENTITY-001 - No Organization Schema
• AI-SHOP-003 - No Product Availability
• AI-TRUST-003 - No Privacy Policy

Notice Checks (Score Impact: 3-5 points)

Optimization opportunities:

• AI-ACCESS-003 - No llms.txt File
• AI-ENTITY-005 - No Wikipedia Presence
• AI-CONTENT-001 - No Speakable Content

Browse all 51 checks

---

Implementations

This methodology powers:

Product	Description	Link
AI Discovery Score	Free scoring tool	aidiscoveryscore.com
Risify	AI Readiness Platform for Shopify	risify.app
Risify Tools	Free e-commerce analysis tools	risify.net

---

Versioning

The AI Commerce Index follows semantic versioning:

• Current Version: v0.74 (Public Beta)
• Scoring Algorithm: v0.74.0

Note: We're in Public Beta. Version 1.0 will be released after real-world validation across 100,000+ stores confirms the methodology.

Changes to check definitions, weights, or scoring are documented in the CHANGELOG.

---

Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

Ways to contribute:

• Propose new checks
• Suggest weight adjustments with data
• Report issues with existing checks
• Improve documentation

---

License

MIT License - see LICENSE for details.

---

Authors

Created and maintained by:

• Erman Kuplu
• Analyzify - Analytics for Shopify
• Risify - AI Readiness Platform

Built with Claude Code

This methodology and its implementation were almost entirely built using Claude Code - Anthropic's AI coding assistant. The author designed the algorithm concept and continuously tested against real stores, while Claude Code handled the engineering: writing the checks, building the scoring system, and creating this documentation.

A testament to what's possible when human domain expertise meets AI engineering capability.

---

Links

• Website: aicommerceindex.com
• Scoring Tool: aidiscoveryscore.com
• Platform: risify.net
• Issues: GitHub Issues