What does WRKNG Digital do?

WRKNG Digital helps Shopify store owners optimize for AI-powered product discovery. We build the structured data, content strategy, and product feed optimizations that get your store recommended by ChatGPT, Google AI Overviews, and Perplexity.

Who is WRKNG Digital for?

Shopify store owners and DTC brand operators doing $500K to $10M+ in annual revenue who want to understand how AI is reshaping product discovery — and what to actually do about it.

What is the Free AI Commerce Audit?

A free tool that scores your Shopify store for AI discoverability across ChatGPT, Google AI Overviews, Copilot, and Perplexity. Identifies gaps in structured data, product feeds, and content extractability. Results delivered in 24 hours.

How does AI change product discovery for Shopify stores?

AI shopping assistants like ChatGPT and Perplexity now recommend products directly in conversation — without sending users to a search results page. Stores that aren't optimized for AI extraction are invisible to these systems, regardless of their Google SEO.

The Two Shopping Graphs Every Shopify Store Owner Needs to Understand Right Now

By Steve Merrill | May 25, 2026

There are two shopping graphs deciding whether AI recommends your products. Most Shopify owners are optimizing for one of them. Some aren't optimizing for either. Understanding what each graph is, what it feeds, and where your data sits right now is the most clarifying thing you can do for your AI commerce strategy this week.

This isn't abstract. Both graphs are live. Both are feeding recommendations to buyers right now. And they pull from completely different data sources.

What Is the Google Shopping Graph and How Does It Feed AI Results?

The Google Shopping Graph is Google's structured product intelligence database. It powers Google AI Overviews, AI Mode shopping results, and Google Shopping tabs. Google builds it from three primary sources: your Google Merchant Center feed, product schema on your web pages, and signals from third-party data partners. Google has described it publicly as containing over 35 billion product listings, updated continuously.

When someone types "best running shoes for wide feet under $120" into Google AI Mode, the shopping graph is what surfaces product cards inside that response. If your GMC feed has thin descriptions, missing attributes, or outdated pricing, Google's AI won't surface your products even if your paid campaigns are running fine.

Most experienced Shopify merchants understand this one. They've worked with Merchant Center, they know feed quality matters, and they've probably optimized at least some product attributes. The second graph is the one almost nobody has opened.

What Is Shopify's AI Shopping Graph and Where Does It Send Your Products?

Shopify's own AI shopping graph is newer and less understood. Shopify built it to feed AI assistants outside of Google — specifically ChatGPT, Perplexity, Claude, and Microsoft Copilot — through a layer called the Agentic Storefront. Shopify's Agentic Commerce documentation explains that this graph uses product titles, descriptions, categories, variants, inventory, and review data pulled directly from your Shopify backend.

This graph communicates over the Agentic Commerce Protocol (ACP). When someone asks ChatGPT "what's a good anniversary gift for someone who likes hiking," the system queries Shopify's graph for relevant products. Your product data quality inside Shopify itself — not your GMC feed, not your product schema — determines whether your store gets matched to that query.

I've audited dozens of stores over the past several months and the same pattern keeps showing up: strong GMC data, weak Shopify Agentic data. The merchants who spent years optimizing for Google have mostly ignored the settings controlling their presence in ChatGPT and Perplexity. That gap is widening as AI-originated orders grow.

How Do the Two Graphs Differ in What They Need From You?

The differences matter for how you spend your optimization time.

Google Shopping Graph priorities:

Structured Merchant Center feed with full attribute coverage (GTIN, MPN, condition, size, color)
Competitive pricing signals updated in near real-time
Product schema on your product pages with rich attributes
Review schema with aggregate rating and count
Accurate inventory and shipping estimate data

Shopify AI shopping graph priorities:

Product titles that include brand name and describe who the product is for
Descriptions written for intent, not keyword matching — answering "what problem does this solve and for whom"
Category accuracy inside Shopify's taxonomy (not just your custom collections)
Variant structure that makes size/color selection clear to an AI reading the data
Aggregate review context at the product and brand level

These requirements don't fully overlap. A product with excellent GMC data can still fail in Shopify's graph if the descriptions are generic or the category assignments are off. Shopify's own documentation on AI shopping readiness spells out what the Agentic Storefront checks before serving a product to AI channels.

How Do You Check Your Shopify Agentic Storefront Settings?

Most merchants haven't done this. Here's the path: Shopify Admin > Settings > Apps and sales channels. Scroll to Shopify Agentic Storefront. If you see it, click through. You'll find which AI channels are currently active (ChatGPT, Perplexity, Claude, Copilot each have separate toggles in some configurations), what product data fields are being shared, and whether any catalog warnings exist.

Common problems I see during this check:

Agentic Storefront is active but category data is using custom collection names that don't map to standard taxonomy
Products have short, generic descriptions that don't answer intent-based queries
Variant titles are internal codes ("BLK-M-V2") instead of readable attributes ("Black / Medium")
No aggregate review fallback for products with zero individual reviews

Not great if any of these describe your store. Each one reduces your probability of being cited in AI shopping responses.

Which Graph Should You Optimize First?

The honest answer is both, running in parallel. But if you're starting from scratch or have limited bandwidth, the Shopify graph gets priority for one reason: it's easier to fix and it directly controls your presence in ChatGPT and Perplexity, which are where AI-originated ecommerce orders are growing fastest right now.

Google's graph requires ongoing feed management, bid strategy, and GMC troubleshooting. Shopify's graph responds to one-time content quality improvements in your product data. A morning spent rewriting 20 key product descriptions can shift your Shopify graph visibility immediately. That same morning spent on GMC tweaks might take weeks to reflect in results.

Once your Shopify Agentic data is solid, turn attention to GMC. The two graphs compound each other — strong product data on one tends to raise quality signals on the other. Shopify actually pulls some product schema signals when building its graph, so improving your on-page markup helps both.

FAQ: Google Shopping Graph vs. Shopify AI Shopping Graph

What is the Google Shopping Graph?

The Google Shopping Graph is a structured database of products, merchants, reviews, and inventory signals that Google maintains by pulling data from Google Merchant Center, product schema on web pages, and third-party data partnerships. It powers Google Shopping, Google AI Overviews, and AI Mode shopping results.

What is Shopify's AI shopping graph?

Shopify's AI shopping graph is the product intelligence layer Shopify built to feed AI assistants like ChatGPT, Perplexity, Claude, and Microsoft Copilot through its Agentic Storefront. It uses your product titles, descriptions, categories, variants, and inventory data from your Shopify backend.

Do I need to optimize for both graphs?

Yes. Each graph feeds different AI channels. The Google Shopping Graph feeds Google AI Mode and AI Overviews. Shopify's graph feeds ChatGPT Shopping, Perplexity, and Claude. Products visible on one may be invisible on the other if the underlying data quality differs.

How do I check my Shopify Agentic settings?

Go to Shopify Admin > Settings > Apps and sales channels > Shopify Agentic Storefront. From there you can see which AI channels are active, review what product data is being shared, and verify that categories and descriptions meet minimum quality thresholds.

What data does Shopify send to ChatGPT through the shopping graph?

Shopify sends product titles, descriptions, prices, availability, images, categories, and review data to ChatGPT via the Agentic Commerce Protocol (ACP). Fields left empty or filled with generic copy reduce citation probability across all connected AI channels.

Want to know where your store actually stands across both graphs? Check Your Store's AI Readiness →