AEO vs SEO vs GEO: What's Actually Different for a Shopify Store

"AEO vs SEO" is mostly a fight about names. SEO gets your pages ranked in the lists of links on Google and Bing, AEO (answer engine optimisation) gets your brand named inside the answer that ChatGPT, Perplexity or Google's AI Overviews write, and GEO (generative engine optimisation) is a second name for that same job. For a Shopify store the real question is narrower: when a shopper asks an assistant for "the best merino running socks under $30", is your product in the answer, and is it one that makes you money?

That question is getting expensive to ignore. Shopify's GEO playbook reports that AI-referred orders to its merchants grew nearly 13x year on year, and that more than half of AI-referred sessions start on a product page, so the product page is now the landing page for a channel most brands don't measure yet.

The good news is that most of the work overlaps. Assistants search the web live and cite pages that already rank, so a store with solid SEO starts ahead, and what changes is what wins once you're in the pool. If the term is new to you, start with our guide to AEO for ecommerce and come back here for the comparison.

What is AEO, GEO and SEO?

SEO (search engine optimisation) is getting your pages to rank in search results. AEO (answer engine optimisation) is getting your brand and products named and cited inside AI-written answers. GEO (generative engine optimisation) means the same as AEO in most marketing use, and the difference is mostly who's talking.

GEO comes from a 2023 academic paper, GEO: Generative Engine Optimization, which named "generative engines" and found that some content changes lifted a source's visibility in their answers by up to 40%. AEO is older, from the featured-snippet and voice-assistant days, and has stretched to cover chatbots. Even Shopify's own guide defines GEO as "also called answer engine optimization". You'll see GEO more in research and technical writing, AEO more in marketing, and "AI SEO" or "AI search optimisation" used for the same work.

Is AEO replacing SEO? No, SEO feeds the answers

Assistants answer from 2 places. The first is what the model learned in training, which gives it a rough sense of which brands are known for what. The second is a live web search, which they run for anything that changes: prices, stock, "best of 2026" lists and reviews. Shopping questions almost always trigger the second.

That live search runs on the same indexes SEO already targets. OpenAI's crawler docs say OAI-SearchBot is what surfaces websites in ChatGPT search, and sites that block it won't be shown in search answers. When Seer Interactive compared 500+ ChatGPT citations with search results, 87% matched Bing's top organic results, against 56% for Google. Google's documentation is plainer still: a page must be indexed and eligible for a snippet to be a supporting link in AI Overviews or AI Mode, with "no additional technical requirements".

Then there's query fan-out. Google says both AI Overviews and AI Mode may split a question into several related searches and read what ranks for each. When Ahrefs re-ran its study of AI Overview citations in March 2026, only 38% of cited pages ranked in the top 10 for the original query, down from 76% in July 2025, and Ahrefs put much of that change down to fan-out. The page that gets cited is often the one ranking for "merino vs synthetic running socks", not "best running socks".

So SEO is the entry ticket, and AEO decides whether you get named once you're in the pool. That comes down to agreement: if your product page, your reviews, a Reddit thread and a gift guide all say the same thing about a product, an assistant can repeat it with confidence. We go deeper on this in how ChatGPT recommends products.

AEO vs SEO for a Shopify store: what's actually different

There are 5 places where the work changes for an ecommerce brand. The full playbook is in AEO for ecommerce.

Product pages become answer pages

SEO taught us to write product pages around a keyword. Assistants read them for facts they can quote: what it's made of, who it's for, how it fits, how it compares, what it costs and whether it's in stock. Put those in plain text on the page, not in images or tabs that load late, and answer the comparison questions shoppers actually ask ("is merino warmer than synthetic?") in a short FAQ on the product page itself.

Schema is hygiene, not a hack

Google says no special schema is needed for its AI features, but it does ask that structured data matches the visible text on the page. For a Shopify store that means Product, Offer (price and availability) and review markup that agrees with what shoppers see. Most themes output some of this already, so run your top product pages through Google's Rich Results Test and fix the gaps rather than installing an "AI schema" app.

Feeds are the new crawl

This is the biggest Shopify-specific change. Agentic storefronts make your products available to AI channels such as ChatGPT and Google's AI Mode through Shopify Catalog, and they're active by default for eligible stores (check Sales channels > Agentic in your admin). OpenAI's commerce docs ask merchants for a structured product feed so ChatGPT "accurately indexes and displays your products". Either way the assistant now reads your titles, descriptions, prices and stock straight from your catalogue, so a vague title or a missing size attribute costs you in a way it never did in search.

Reviews are evidence

An assistant choosing between 2 similar products looks for reasons. Review volume helps, but review content matters more: "runs small", "warm enough for winter runs" and "lasted 2 seasons" are the phrases that end up in answers. Ask for specifics in your review request emails, and reply to the negative ones on the page.

Third-party mentions carry more weight

In SEO, a mention without a link was worth little. In AEO it counts, because assistants weigh agreement across sources, and Seer found affiliates, news sites and aggregators among the most-cited site types for "best" and "top" questions. One honest comparison article, a gift-guide placement or an active Reddit thread about your hero product can do more than another post on your own blog.

Judge AI visibility in dollars, not share of voice

Most AEO reporting stops at share of voice: how often your brand is named across a set of prompts. That number treats every mention as equal, and for a store they aren't. A mention for a product that clears $26 of contribution margin per order is worth 6.5 times a mention for one that clears $4.

So rank the products you want AI to recommend by contribution margin, the profit left after product costs, shipping, payment fees and ad spend (the contribution margin formula walks through it), and start the AEO work at the top of that list. StoreHero already calculates contribution margin per product from your Shopify, ad and shipping data, which is the column you need next to any visibility report. The same logic applies to paid placements: if you're testing ads in ChatGPT, judge them on contribution margin, not clicks.

If you want to see where you stand today, StoreHero's new AEO product, StoreHero AI Search, asks ChatGPT, Gemini and Google AI the questions your buyers ask, shows who they name instead of you and which sources they cite, then writes researched, SEO-backed content for your store, ready to publish, so you can get in early and lean less on paid ads.

What to do this quarter

1. Write down 20 prompts your buyers actually type, by product and use ("best gift for a runner under $50"), and run them monthly in ChatGPT, Perplexity and Google's AI Mode. Note who's named and which pages are cited.
2. Rank your products by contribution margin and pick the 10 that sell well, have stock and earn the most per order. Those get the work first.
3. Check access: make sure robots.txt doesn't block OAI-SearchBot or Bingbot, and verify your store in Bing Webmaster Tools, whose AI Performance report shows which of your pages Bing's AI answers cite and for which grounding queries.
4. Check your catalogue: agentic storefronts on, titles and descriptions specific, and every variant carrying size, colour, material and a GTIN where you have one.
5. Rewrite those 10 product pages: facts in plain text, a short comparison FAQ and schema that matches the page.
6. Ask for specific reviews on those 10, and get each one into at least 1 third-party comparison or gift guide before Black Friday.
7. Keep doing SEO, aimed at the sub-questions behind your prompts (the "vs", "for" and "best for" searches), because that's where fan-out goes looking.

For tracking tools, our round-up of the best AI tools for ecommerce covers the options. And to ask the margin question of your own store, you can connect your Shopify and ad data to Claude or ChatGPT and ask it which products deserve the work.

Key takeaways

• SEO ranks your pages in lists of links; AEO gets your products named inside AI answers; GEO is mostly a second name for AEO.
• SEO still feeds AI answers: assistants run live searches and cite pages that rank, and Seer found 87% of ChatGPT citations matched Bing's top results.
• Query fan-out means you need to rank for the sub-questions behind a prompt, not just the head term. Only 38% of AI Overview citations rank top 10 for the original query (Ahrefs, March 2026).
• For Shopify stores the new levers are product page facts, clean product feeds via agentic storefronts, specific reviews and third-party mentions.
• Judge AI visibility by the contribution margin of the products that get named, not by share of voice.
• This quarter: test 20 buyer prompts monthly, then fix the 10 highest-margin product pages first.

Frequently asked questions

Sources

• Google Search Central: AI features and your website
• OpenAI: Overview of OpenAI crawlers (OAI-SearchBot)
• OpenAI: Commerce documentation (product feeds, Agentic Commerce Protocol)
• Aggarwal et al., GEO: Generative Engine Optimization (arXiv, 2023)
• Seer Interactive: 87% of SearchGPT citations match Bing's top results (Feb 2025)
• Ahrefs: AI Overview citations and the top 10 (March 2026)
• Ahrefs: 76% of AI Overview citations pull from the top 10 (July 2025)
• Shopify Help Center: Agentic storefronts
• Shopify: The GEO playbook (Feb 2026)
• Shopify: What is answer engine optimization (AEO)?
• Practical Ecommerce: Bing's improved AI Performance section (June 2026)