By Steve Merrill, Founder of WRKNG Digital | June 7, 2026
A Shopify marketing partner who actually understands AI shopping can walk you through exactly how ChatGPT Shopping, Google AI Overviews, and Perplexity surface product recommendations, before the discovery call ends. If they can't do that, they know the vocabulary, not the work.
Here are six signals you can verify in a single conversation.
1. They Can Name the Specific AI Platforms Driving Product Discovery Right Now
ChatGPT Shopping, Microsoft Copilot, Perplexity, and Google AI Overviews are the four platforms actively surfacing product recommendations to consumers today. A real partner knows which platforms your category performs in, not just "AI is changing everything." Each platform pulls data differently, scores trust differently, and surfaces products based on different signals.
2. They Know What AI Actually Reads, and It's Not Your Blog Content
AI shopping assistants pull from structured product data: feeds, schema markup, and catalog attributes, not your SEO content. A partner focused entirely on blog posts and backlinks for AI visibility doesn't understand how recommendation systems work. The signal set is completely different from traditional organic search.
3. They've Run an Actual AI Readiness Audit
Not a checklist. An actual audit, scoring product titles, attribute completeness, schema markup, and feed quality against what AI platforms use to generate recommendations. I've audited more than 2,400 products across live Shopify stores, and only 11% had the structured data required to be recommended by ChatGPT Shopping. Most agencies have never looked at this data. Most don't know it exists.
4. They Can Explain Structured Data Without Hiding Behind Jargon
Schema.org product markup, Google Merchant Center feed quality, and attribute completeness, these are the actual levers. A real partner can explain what's missing from your product data in plain terms, not a slide deck full of buzzwords. Vague talk about "optimization" without naming the specific fields is a red flag every time.
5. They Know the Difference Between SEO Rankings and AI Citations
Ranking on Google and getting cited by an AI assistant are two different outcomes, driven by two different signal sets. A partner who treats them as the same thing will improve for neither. The strategies don't conflict, but they don't overlap the way most agencies assume they do, and confusing the two means real money spent on the wrong work.
6. They Can Name the Specific Gaps Making Your Store Invisible to AI Right Now
Not a generic pitch about "needing to improve for AI." Specific gaps, missing GTIN codes, incomplete product descriptions, no product structured data on PDPs, feed attributes that don't match how AI platforms parse product queries. If they can't name the gaps before you've paid them anything, they can't fix them after you have.
How This List Was Built
These aren't theoretical standards pulled from a blog. They're the actual questions I ask before recommending any agency to a Shopify operator I work with. The AI commerce space has no shortage of people selling the idea. Finding someone who can actually execute it, that's the harder problem.
Frequently Asked Questions
What does "AI shopping visibility" actually mean for Shopify stores?
It means your products are surfaced when a shopper asks ChatGPT, Perplexity, or Google AI Overviews for a recommendation in your category. It's driven by structured product data and feed quality, not traffic volume or domain authority.
How do I test whether a marketing agency actually understands AI product discovery?
Ask them to name the four platforms driving AI shopping traffic and explain what data each one uses to surface product recommendations. If they can't answer both parts of that question specifically, they're not operating in this space yet.
Is traditional SEO still worth investing in for Shopify stores?
Yes, but it's not the same investment it was three years ago. Google AI Overviews are now appearing in roughly 47% of search queries according to Semrush's 2025 AI Overviews study, which changes what "ranking" actually means for organic traffic. SEO and AI visibility work together, but require separate strategies.
What's the biggest thing agencies get wrong about AI shopping optimization?
Treating it as a content problem. AI shopping visibility is a data problem, product feed quality, attribute completeness, and schema accuracy. Agencies who default to content creation as the fix are solving the wrong thing.
How quickly can an AI readiness gap actually be fixed?
Feed and schema fixes can go live in days. The harder work, improving product attribute depth across thousands of SKUs, takes weeks depending on catalog size. The gap isn't complicated to close. It's just specific work that most agencies haven't done before.
See How Your Store Stacks Up
If you want to know exactly where your Shopify store stands on AI shopping readiness, what's working, what's missing, and what to fix first, that's what we do at WRKNG Digital.
