GEO vs SEO for online stores

SEO gets your pages into search results. GEO, generative engine optimization, is the work of getting your brand named, and your pages cited, in the answers AI engines write. For an online store, most of it is the same work. What changes is what counts as a win, where the answer gets its facts, and how much the result moves from one day to the next.

This guide covers what overlaps, what's different, and what to fix first on a Shopify, WooCommerce or BigCommerce store.

The short version

Where the term comes from

The name comes from a 2023 research paper, GEO: Generative Engine Optimization, presented at KDD 2024. Its authors tested ways a web page can raise its visibility in AI-written answers. On their benchmark, adding quotations from relevant sources, statistics and citations helped most: the best method, adding quotations, lifted visibility by 41%. Keyword stuffing did slightly worse than leaving the page alone.

A caution before you rewrite anything: the benchmark is 10,000 queries, mostly informational rather than shopping, and its test engine was built on GPT-3.5. Treat the numbers as a direction, not a forecast for your store.

A 2025 follow-up built for shopping, E-GEO, rewrote Amazon product descriptions and measured how far each one moved in five AI models' product rankings. The rewrites that worked best matched what the shopper was looking for, with their words and synonyms, opened with a summary, used headings and bullets, listed use cases, answered buyers' questions, and kept the facts unchanged. Making a description longer did nothing on its own.

What stays the same

The foundation is shared. AI answers are built on the same crawling and indexing as search results, so a page that can't be crawled or indexed can't be cited either.

• Google. AI Overviews and AI Mode are part of Google Search, and Google's own guide to them says that optimizing for its AI features is still SEO (Google: optimizing for generative AI features). To be shown as a supporting link, a page has to be indexed and eligible to appear in Search with a snippet, and robots.txt rules for Googlebot are the control (Google: AI features and your website).
• One new Google switch. Search Console has a setting that can exclude a site from Google's generative AI features. Sites are included by default, so it's only worth a check that nobody switched yours off (Search Console Help: Search generative AI control).
• Microsoft. Bing says its Copilot answers rest on the same crawling, indexing and ranking as Bing search (Bing Webmaster Guidelines).
• The AI engines' own search. OpenAI, Anthropic and Perplexity each run a search crawler, OAI-SearchBot, Claude-SearchBot and PerplexityBot, and each reads robots.txt (OpenAI, Anthropic, Perplexity). Block one and that engine can't read your pages for its answers. Our free crawler check shows which ones your robots.txt lets in.

What's different for a store

A win is being named, not ranked

Ask an AI engine for the best paddle board for a beginner and it writes an answer that names a few brands, with reasons. There's no position 7 to climb from: your brand is in the answer or it isn't. So the useful number is how often you're named across many answers to your buyers' questions. That's what an AI Shelf Report counts: the share of answers that name each brand.

The answer draws on other sites too

An AI answer lists the sources it used, and many of them aren't the brands being recommended. SEO work mostly happens on your own site. GEO adds the sites the answers cite in your category: being reviewed fairly, being included in a roundup, having an accurate answer in a community thread, with your involvement disclosed. The first step is to look: ask an engine the questions your buyers ask, and read the sources under each answer.

Product data feeds the shopping answers

When someone shops in an AI engine, the products come from catalog data as well as from pages.

• ChatGPT. OpenAI says the product results in ChatGPT search aren't ads. They're chosen from structured product data, such as price and description, from merchants and third-party providers, along with other content from the web. When several sellers carry a product, it weighs availability, price, quality and whether the seller is the maker or main seller (OpenAI Help: Shopping with ChatGPT Search). Shopify and Etsy catalogs are already connected; other merchants can apply to share a product feed (ChatGPT: product discovery for merchants).
• Google. Shopping in AI Mode runs on Google's Shopping Graph of product listings (Google), and Google's guide says Merchant Center feeds can help products appear in its AI responses as well as its other results (Google: optimizing for generative AI features).
• Perplexity. Perplexity says its answers are more likely to recommend merchants that supply detailed product data, such as availability, reviews, pricing and specs (Perplexity Help: What is Instant Buy?).
• Shopify stores. Shopify's Agentic Storefronts, on by default for eligible stores, list your products in AI channels run by OpenAI, Microsoft, Google and Meta (Shopify Help Center).

Wrong or thin product data shows up in those answers. Titles, prices, availability, identifiers such as GTINs, and descriptions need to be right in the feed and on the page.

The same question gets different answers

Ask the same question twice and the answer can change, and it changes again as models and the web change. Google adds to this: AI Overviews and AI Mode may run several related searches across subtopics for a single question, a technique Google calls query fan-out (Google: AI features and your website). One answer tells you little. Measure with a fixed set of questions, ask each one several times, and date every result. That's how we measure: 20 buyer questions, three runs each on each engine.

A checklist for your store

Each item says whether it serves search results, AI answers, or both.

1. Let the search crawlers in (both). Check that robots.txt doesn't block Googlebot, Bingbot, OAI-SearchBot, Claude-SearchBot, PerplexityBot or Applebot from your product and category pages. The crawler check reads it line by line.
2. Put the facts buyers ask about in the page text (both). Size, material, fit, compatibility, who it's for, what's in the box, care, warranty and returns. An engine can't repeat a fact your page doesn't state.
3. Make product pages easy to quote (both). Open with a short summary, use headings and bullets, list the use cases, answer the questions buyers ask, and back claims with specifics such as numbers, review quotes and sources. That's the pattern the GEO and E-GEO research found worked. Keep the facts accurate; length alone doesn't help.
4. Answer the comparison questions on your own site (both). A buying guide, or an honest comparison of your product with the alternatives buyers ask about, gives an answer something to quote. Write the guides buyers need, not a page for every possible question: Google's guide counts mass-producing pages for each fan-out query as scaled content abuse (Google).
5. Keep product data and structured data accurate (both). Product and Offer markup should match what the page says. Google recommends both the markup and a Merchant Center feed for the widest eligibility in its shopping results (Google: merchant listing structured data).
6. Earn a place on the sites the answers cite (AI answers). Reviews, roundups and communities, with every pitch disclosed. No fake reviews, posts or accounts.
7. Measure both (both). Search Console for Google, including its generative AI performance report for AI Overviews and AI Mode impressions (Search Console Help). For the other AI engines, a fixed set of buyer questions, asked several times on each engine, counted the same way each time.

Do you need llms.txt?

Not for Google: its guide says Google Search ignores llms.txt files, so one neither helps nor hurts you there (Google). OpenAI, Anthropic and Perplexity don't say their engines read other sites' llms.txt files. What they document is robots.txt for their search crawlers. If your platform adds an llms.txt file, there's no harm in leaving it, but spend your time on the checklist above first.

Questions

Is GEO replacing SEO? No. Google calls optimizing for its AI features SEO, and Microsoft builds Copilot's answers on the same crawling and indexing as Bing search. SEO is the foundation; GEO is the work added on top of it.

Is AEO the same as GEO? People use answer engine optimization (AEO) and GEO for much the same work. This guide uses GEO, the term the research uses.

How long does it take? We can't give you a timeline. AI engines are run by other companies and change without notice, which is why we measure on a fixed schedule rather than promise a result.