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Ten guides covering everything from what AI agents read to how Recommendation Share is measured. Built for ecommerce founders and marketers who want to understand and win the AI recommendation layer.

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Ten guides on the AI recommendation layer

02
How ChatGPT Recommends Brands
ChatGPT Shopping evaluates stores differently than Google. It reads structured data, evaluates brand entity, and scores recommendation confidence. Here is exactly how it works.
03
What AI Agents Actually Read
Human View vs AI View. Your beautiful website is not what AI sees. This guide shows exactly what signals AI agents read, extract, and evaluate when they visit your store.
04
llms.txt Explained for Shopify
Shopify added llms.txt to every store in May 2026. File existence is not enough. This guide explains what makes a good llms.txt and how to optimize yours for AI recommendation readiness.
05
AI Retrieval Signals: The 8 Factors
The eight signals AI shopping agents use to evaluate every store. Semantic Clarity, AI Readability, Trust Confidence, Intent Match, Crawlability, Commerce Accuracy, Recommendation Confidence, and External Authority.
06
How Perplexity Cites Brands
Perplexity operates completely differently from ChatGPT. It crawls in real time, weighs external citations heavily, and cites sources directly. What this means for your store and how to optimize for it specifically.
07
Recommendation Share: The New Market Share
Recommendation Share is the percentage of high-intent buying prompts in which your brand appears. It is the most important metric in AI Commerce Intelligence. This guide explains how to measure and improve it.
08
Machine-Readable Commerce
Most stores are built for humans. Machine-Readable Commerce is the practice of building for AI. Schema markup, price visibility, trust signal structure, and the architecture of a store AI can confidently recommend.
09
AI Visibility Risk: What It Costs You
More than half of scanned stores score below 50 on the AI Commerce Score. This guide explains exactly what that means in revenue terms, how to calculate your exposure, and the fastest path out of the risk zone.
10
Prompt Visibility Testing
The most direct way to measure AI Commerce visibility. Send real buyer prompts to AI systems and track whether your brand appears, at what position, and who shows up instead.
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If you have 30 minutes, read these five guides in order. You will understand the AI commerce layer better than 95% of ecommerce founders.

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Everything on Atom Foundry

Every page, guide, and tool across the platform. All interconnected. Built around one question: how does AI see your store?

Category Definition
AI Commerce Intelligence
The full framework defining the intelligence layer between ecommerce and AI systems.
Visual Feature
Human View vs AI View
Side-by-side: what humans see vs what AI shopping agents actually read on your store.
Core Concept
Machine-Readable Commerce
The architectural approach to making your store legible to AI shopping agents.
Scoring Model
Methodology v3.1
The 8-factor, 100-point model. How the AI Commerce Score is calculated.
The Model
The Framework
How AI reads, understands, trusts, and recommends a store, layer by layer.
Live Data
Research
Real data from thousands of scanned stores. Industry averages, trends, and findings.
Database
Store Database
Browse AI Commerce Scores for thousands of real DTC stores. Filter by niche and score.
Industry Data
Benchmarks by Niche
Average AI Commerce Scores by category: fashion, beauty, health, home, and 6 more.
Score Explained
AI Readiness Score
What the 0-100 score measures, how it is calculated, and what each zone means.
Shopify Guide
Shopify AI Visibility
Why most Shopify stores are invisible to AI agents and the fastest fixes.
2026 Guide
Agentic Commerce
AI agents now complete purchases. Shopify launched its Agentic Dashboard in May 2026.
Free Tool
AI Commerce Audit
Find every gap costing you AI revenue. Free scan in 30 seconds across all 8 factors.
Glossary
AI Commerce Vocabulary
45 terms that define the AI recommendation economy. Fully defined, with examples.

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