What to Look for in an AEO Agency (And the Questions Most Shopify Brands Never Ask)

By Steve Merrill, Founder of WRKNG Digital | June 15, 2026

Most Shopify brands picking an AEO agency are making the same mistake they made with SEO agencies in 2014. They're asking the wrong questions. They're looking at the wrong metrics. And they're about to spend money with someone who doesn't actually understand what AEO is.

I build AEO tools for Shopify stores. I've audited thousands of product pages. I've watched agencies pitch "AI-optimized content strategies" that are just blog content plans with the word "AI" added to the deck title. The gap between what agencies claim and what they actually do is wide. This post helps you close that gap before you sign a contract.

AEO and SEO are not the same job

This matters before anything else. If an agency treats them the same, walk away.

SEO is about ranking. You're optimizing pages so Google's crawler indexes them, understands them, and surfaces them when someone searches a keyword. The output is a position on a results page. The KPI is rankings and organic traffic.

AEO is different. You're not trying to rank. You're trying to get extracted. ChatGPT, Perplexity, Google's AI Overviews, Copilot — these systems don't crawl and rank. They pull structured information from pages, synthesize it, and present an answer. If your data isn't structured in a way these systems can read, you don't exist in their answers. Doesn't matter how much content you publish.

The technical work reflects this difference. AEO requires schema markup — specifically FAQPage, Product, ItemList, and BreadcrumbList schema. It requires product feeds that are clean, complete, and machine-readable. It requires content written as direct answers, not keyword-stuffed paragraphs. And it requires tracking citation rate, not keyword position.

An agency that can't explain this distinction clearly has never done real AEO work.

5 criteria that separate real AEO agencies from the rest

1. Schema expertise — not just awareness, actual implementation

Ask them to name the schema types they implement for Shopify stores. The right answer includes Product schema (with offers, availability, price), FAQPage schema on product and collection pages, ItemList for category pages, and BreadcrumbList for site structure. Bonus if they mention HowTo or Review schema where relevant.

If they say "yeah, we do schema" without specifics, that's a red flag. Schema isn't a checkbox. It's structured data that AI systems extract directly. Getting it wrong means AI reads your page incorrectly. Getting it right means ChatGPT can accurately describe your product when a user asks about it.

According to Search Engine Land's schema markup research, FAQPage schema is one of the most direct ways to feed structured answers to AI extraction systems. Real AEO agencies know this. They don't just add it — they audit it regularly to catch drift.

2. AI citation rate as a primary KPI

This is the clearest dividing line. Ask the agency: "How do you measure AI visibility for our store?" If they mention keyword rankings, domain authority, or organic traffic as primary metrics, they're doing SEO. Not AEO.

Citation rate is the core AEO metric. It measures how often AI systems cite your store or products when answering relevant queries. A brand selling ergonomic office chairs should be cited when someone asks ChatGPT "what are the best ergonomic office chairs under $500?" That's measurable. You can track it over time. You can tie it directly to content and schema changes.

An agency that doesn't track citation rate isn't doing AEO. Full stop.

3. Content structuring for AI extraction

AI systems don't read the way humans do. They look for clear, direct answers formatted in extractable chunks. That means short paragraphs answering one question. FAQ sections with specific Q&A formatting. Product descriptions that lead with the most relevant information, not creative prose.

A good AEO agency audits your existing content for AI extractability. They don't just produce more content — they restructure what you have so AI systems can actually use it. This is a fundamentally different editorial process than SEO content writing.

4. Shopify-specific product feed knowledge

Shopify product feeds are the backbone of AI shopping visibility. Google Shopping, ChatGPT Shopping, Copilot, Perplexity's product recommendations — they all pull from structured product data. If your feed has missing attributes, inconsistent category labels, or incomplete variant data, AI shopping assistants can't recommend you confidently.

Ask the agency: "Do you audit our Shopify product feed as part of AEO work?" The answer should be yes. They should know what attributes matter — title format, description completeness, GTIN data, product type taxonomy — and how to fix gaps systematically across a large catalog.

Most SEO agencies have never touched a product feed. Real AEO agencies treat it as foundational.

5. Transparent, separate measurement framework

AEO reporting should look different from SEO reporting. If an agency hands you a report with keyword rankings, traffic by channel, and domain authority trends, that's an SEO report. Good AEO agencies build separate reporting that tracks citation rate by AI platform, schema implementation health over time, FAQ coverage gaps, and product feed completeness scores.

As Moz's structured data research has documented, the signals that drive AI visibility are measurable and distinct from traditional search ranking signals. Agencies that mix them together either don't understand AEO or are hiding that they're not actually doing it.

The 3 questions brands never ask

These three questions will tell you more than any case study deck.

"How do you measure AI visibility — and what's the exact metric?"

You want specificity. Not "we track AI presence" — you want to know what tool they use, how often they run queries, how many test queries they track per client, and what a good result looks like. If they can't answer this with a number or a defined methodology, they don't have one.

"Which schema types do you implement — and which do you prioritize for Shopify stores?"

This separates agencies that know schema from agencies that have heard of schema. The right answer is specific. FAQPage for product pages. Product schema with full offer data. ItemList for collections. The wrong answer is vague — "we implement structured data across the site" — or it mentions only JSON-LD without naming types.

"Can you show a store that went from zero AI citations to being cited regularly?"

This is the proof question. The answer might be anonymized, and that's fine. But they should be able to describe the baseline, what they changed, and how citation rate moved. If they can't show this, they haven't done it. They've been doing SEO and calling it AEO.

Red flags worth walking away from

Agencies who only talk about content volume. Publishing more articles doesn't improve AI citation rate. AI systems don't reward volume. They reward extractable, structured, directly useful information. An agency pushing a "12 articles per month" content plan without a schema implementation component isn't doing AEO.

Agencies who measure only Google rankings. Google rankings matter for SEO. They don't tell you anything about ChatGPT Shopping visibility or Perplexity citation rate. If their reporting framework hasn't evolved past keyword tracking, their practice hasn't either.

Agencies who can't explain FAQPage or ItemList schema. These are table stakes. Not advanced. If an agency pitching AEO services can't tell you the difference between FAQPage and HowTo schema, or doesn't know why ItemList matters for AI indexing of Shopify collection pages, they're not equipped for the work.

Green flags worth paying attention to

They track citation rate as a primary KPI, not a bonus metric. They separate GEO (Generative Engine Optimization) from SEO in their reporting. They conduct a schema audit before starting content work. They ask about your product feed in the first conversation. They can name which AI platforms they actively monitor for client citations.

I'll add one more. The best agencies are honest about what they don't know. AEO is genuinely new. The platforms are changing fast. An agency that admits "here's what we're still figuring out and here's how we're testing it" is more trustworthy than one claiming a perfected system.

What I've seen building AEO tools

I build software that audits Shopify stores for AI visibility. I've run thousands of products through that system. The pattern I see most often: stores with solid SEO foundations that are completely invisible to AI shopping assistants because their schema is missing or wrong, their product feeds have attribute gaps, and their product page content isn't structured for extraction.

The stores that AI systems recommend? They look different. Clean structured data. FAQ sections that directly answer buying questions. Product feeds with complete attributes. The difference isn't content volume or domain authority. It's data quality and structure.

The agencies that move the needle on AI visibility understand this at a technical level. They can look at a Shopify store and immediately see the gaps. Not every agency can. Most can't.

Ask the hard questions before you hire. The answers will tell you everything.