By Steve Merrill, Founder of WRKNG Digital | June 15, 2026
Every agency says they do AEO now. That's the first thing worth knowing when you start your search.
ChatGPT Shopping launched. Perplexity started surfacing product results. Google AI Overviews started pulling product cards into search. Inside of six months, half the SEO industry had "AI visibility" on their service pages. Consultants rebranded. New agencies appeared. The claims multiplied faster than the actual expertise did.
Most of them can't explain how a Shopify product feed actually reaches a language model. Or what structured data fields ChatGPT Shopping evaluates when it surfaces a recommendation.
So before you go looking for the "best AEO agency," stop. Ask a different question. Because the question you're starting with won't get you the right answer.
What Question Should You Actually Be Asking?
"Best AEO agency" is a ranking you can't verify. The right question is whether a specific agency understands how AI systems discover, evaluate, and recommend products — and whether they can prove they've moved that needle for someone else.
Most buyers approach an agency search the same way they'd search "best dentist near me." They want a ranked list. The problem is AEO is too new and too misunderstood for rankings to mean much. An agency can have strong case studies for traditional SEO and no real understanding of how ChatGPT Shopping sources and surfaces product data.
Ask this instead: "Can you walk me through how a Shopify product listing ends up in a Perplexity or ChatGPT product recommendation?" If the answer involves structured data, product feed attributes, and AI citation tracking, you're talking to someone who knows the space. If the answer is "great content and authority signals," they're describing SEO from 2022.
What Does Real AEO Expertise Look Like for a Shopify Store?
Real AEO expertise for Shopify covers three distinct areas: product structured data, product feed optimization for AI shopping surfaces, and citation rate tracking. Agencies that genuinely work in this space can speak to all three with specifics, not generalizations.
What Should I Look for in Structured Data Work?
Structured data for AI visibility means Product schema on your PDPs with complete fields — name, description, price, availability, brand, image, aggregate rating, and GTIN where available. Most Shopify themes generate partial schema automatically. Partial isn't enough. AI systems need complete, accurate data to surface a product with confidence.
An agency doing real structured data work won't just say "we add schema." They'll tell you which fields are missing, why they matter to specific AI surfaces, and how they'll fill them without breaking your theme. That's a specific conversation. It takes about 20 minutes with someone who knows Shopify.
What Is Product Feed Optimization for AI, and Why Does It Matter?
Shopify routes product data through the Google Merchant Center into Google's Shopping Graph, which feeds multiple AI shopping surfaces. The feed fields that matter most for AI recommendations aren't title and price. They're product type taxonomy, material, age group, and long-form product descriptions. Most agencies don't know which attributes carry the most weight in AI recommendation logic because they've never tested it systematically.
The Google structured data documentation for products covers the field spec, but the practical question of which fields influence AI recommendation ranking is different from what the spec requires. These are different problems. A real AEO agency can tell you the difference.
How Should an Agency Track AI Citation Rate?
AI citation rate is the percentage of relevant shopping prompts where your products get recommended. It's measurable. ChatGPT Shopping, Perplexity Shopping, and Google AI Overviews all surface product recommendations that can be tracked with consistent prompt testing across a baseline period.
If an agency can't tell you your baseline citation rate before they start, they have no way to show you improvement. That's not a minor gap. That's the whole job.
How Do You Evaluate Agency Claims Without Getting Misled?
Most "AI visibility" promises are vague by design. Demand specific, measurable outcomes from the start.
When an agency says they'll "improve your AI visibility," ask them to define what changes. What metric moves? By how much? Over what time frame? If the answer involves organic traffic or domain authority, they're describing traditional SEO. Those metrics don't tell you whether AI systems are recommending your products.
Watch for agencies that conflate GEO and AEO. GEO (Generative Engine Optimization) is about getting your brand mentioned in AI-generated text answers. Ecommerce AEO is about getting your products recommended in AI shopping queries. Both matter. But they require different strategies, different data inputs, and different metrics. A lot of agencies treat them as one service with a shared label.
Ask directly: "How do you separate your GEO work from your ecommerce AEO work?" The answer tells you a lot about whether they've actually thought through the distinction or just bundled everything under "AI SEO."
What Proof Points Should You Demand Before Signing?
Ask for these. Don't move forward without them.
A before-and-after on AI citation rate for a past client. Not "improved visibility." An actual number. If they've done this work, they have a data point. If they can't produce one, they haven't done the work yet.
A Shopify-specific structured data audit. Can they look at your PDPs and tell you exactly which schema fields are missing? A competent person can do this in under an hour. If they want weeks to "assess your situation" before they can say anything specific, that's not expertise — that's delay.
Proof they understand Shopify's feed architecture specifically. Shopify routes product data differently than Magento, WooCommerce, or a headless storefront. The distinctions in how the Google channel, Shopify-managed markets, and third-party feed apps interact with the Shopping Graph are real and relevant. A generalist SEO agency won't know them.
References from ecommerce clients. Specifically ecommerce, specifically physical products. AEO for a SaaS brand selling software subscriptions is a completely different problem from AEO for a Shopify store selling apparel or supplements. Product feeds, inventory signals, and transaction-ready AI recommendations are a separate category from informational content marketing.
What I See When I Evaluate AEO Agencies
I've run 60+ structured data audits on Shopify stores over the last eight months. I built the tools we use to do them. So when I look at an agency claiming AEO expertise, I ask the same questions I use internally.
Most agencies fail on product feed optimization. They know schema markup. They don't understand how product feed data flows from Shopify through the Google Merchant Center into AI shopping surfaces, or how feed completeness affects recommendation ranking. That's not a criticism. It's a new area and the documentation is scattered. But it does mean most of them are doing half the job — sometimes less.
The ones who actually know the space can name the specific feed attributes that matter for ChatGPT Shopping recommendations. They track citation rates with repeatable methodology. They know that a product with a GTIN, a complete attribute taxonomy, and a well-written long-form description gets recommended at a measurably higher rate than one without. They've run the tests. They have the data.
That's the bar. It's not that high. But most agencies aren't clearing it.
How Do You Score an AEO Agency Before You Hire Them?
Use this framework in your first discovery call. Score each question 1 to 3. Total out of 15.
Question 1: Can they show AI citation rate improvement for a past client?
- 3 — Yes, with specific numbers and a defined time frame.
- 2 — Yes, but the data is directional rather than precise.
- 1 — They reference traffic growth or keyword rankings instead.
Question 2: Do they understand Shopify's product feed structure?
- 3 — They can name specific feed attributes and explain how they flow to AI shopping surfaces.
- 2 — They understand product feeds generally but not Shopify-specific differences.
- 1 — They focus on content quality and site authority when asked about feeds.
Question 3: Do they separate GEO from ecommerce AEO?
- 3 — Clear distinction, separate strategies, separate metrics for each.
- 2 — They acknowledge both exist but blend the approach.
- 1 — They treat everything as one unified "AI SEO" service.
Question 4: Can they audit your structured data and tell you what's missing?
- 3 — Yes, within 48 hours, as a free or low-cost diagnostic before engagement.
- 2 — Yes, as part of onboarding, takes a few weeks to complete.
- 1 — They describe it as part of a longer discovery or strategy phase.
Question 5: Do they track AI-specific metrics from day one?
- 3 — Yes. They set a baseline citation rate before any work begins and report against it monthly.
- 2 — They plan to, but don't yet have a defined tracking methodology to show you.
- 1 — They track organic traffic, rankings, and "AI impressions" — which aren't the same thing as citation rate.
What the score means:
- 13-15: Strong candidate. They know the space. Test them with a scoped pilot project before a full engagement.
- 9-12: Proceed with caution. Ask to see their actual tracking methodology in writing before you sign anything.
- Under 9: They're an SEO agency with AEO on the label. Different thing.
Five questions. Twenty minutes on a call. That's enough to know whether you're talking to someone who has actually done this work.
FAQ
What is the difference between AEO and GEO for a Shopify store?
GEO (Generative Engine Optimization) focuses on getting your brand mentioned in AI-generated text responses — think informational queries where an AI summarizes a topic and cites sources. AEO for ecommerce focuses on getting your specific products recommended in AI shopping queries, where the AI surfaces a product card, price, and link. Both require structured data and authority signals, but the mechanics are different. For Shopify stores selling physical products, ecommerce AEO — product feeds, schema, citation rate — is the more urgent priority.
How do I know if my Shopify store is already showing up in AI shopping results?
Run a structured prompt test. Pick 10-15 product queries relevant to your catalog ("best [product type] under $X," "recommend a [material] [product] for [use case]") and run them through ChatGPT Shopping, Perplexity Shopping, and Google AI Overviews. Track which results show up. If your products don't appear in 3-4 runs per prompt, you have a citation gap. That's your baseline. Any agency worth hiring should be willing to help you establish this before they take your money.
Is AEO something I can do in-house, or do I need an agency?
The structured data audit and schema fixes are doable in-house if you have someone who's comfortable with Shopify theme code and JSON-LD. The product feed optimization is more technical and often requires a developer or a specialized app. The ongoing citation rate tracking and iterative feed tuning is where an agency with the right tooling earns its keep. If you're just starting out, begin with the audit. You'll quickly see whether you have the internal capacity to execute or whether you need outside help.
How long does it take to see AEO results?
Structured data changes can be indexed and reflected in AI recommendation data within 2-4 weeks for most Shopify stores. Product feed updates through the Google Merchant Center typically take 3-7 days to propagate. Meaningful citation rate improvement on a consistent basis usually shows up within 60-90 days of complete implementation. Anyone promising faster results is either dealing with an unusually thin baseline or overselling. Anyone saying it takes 6+ months to see any movement doesn't have a tight enough feedback loop.
What's the most common mistake Shopify stores make when approaching AEO?
Treating it as a content problem. AEO for ecommerce is a data problem first. The AI systems recommending products are pulling from structured feeds and schema markup — not blog posts, not product description word counts, not backlinks. Stores spend months adding content hoping to show up in AI answers, when the actual gap is a missing GTIN, an incomplete product type taxonomy, or a feed attribute that's null when it should have a value. Fix the data layer first. Then worry about content.
Ready to See Where Your Shopify Store Actually Stands?
Before you hire anyone, know your baseline. We run structured data audits and AI citation rate assessments for Shopify stores — so you walk into any agency conversation with actual numbers, not guesses.
