GEO vs SEO: what changes for ecommerce

GEO is the newest acronym in search, and every agency now sells it. For an online store, the useful question is not which acronym wins. It is what you should do differently so that ChatGPT, Gemini, Perplexity and Google AI Mode name your products, and how you will know it worked. This guide compares GEO and SEO for ecommerce, using what Google, Microsoft, OpenAI and the original GEO research actually say.

If you are new to the idea, our guide to what AI visibility is covers the definitions first.

What does GEO mean in SEO?

GEO stands for generative engine optimization: work that aims to get your content and products used in answers written by AI systems such as ChatGPT, Gemini, Perplexity and Google AI Mode. Google says optimizing for its generative AI search is still SEO.

The term comes from a 2023 research paper, later published at KDD 2024. Its authors framed GEO as a way for content creators to improve their visibility in generative engine responses, and tested it on a benchmark of 10,000 queries across 25 domains.

Google uses both GEO and AEO in its optimization guide, last updated July 10, 2026, and then draws a line. For Google Search, work on generative AI features is “still SEO.” Microsoft Advertising takes a different emphasis. Its GEO guide calls GEO how you win the recommendation in AI discovery, and adds: “The goal is no longer traffic. It’s influence.”

Both views can hold at once. The groundwork is shared. What you aim for, and what you count, differs.

What is the difference between GEO and SEO?

SEO aims for a ranked link that a shopper clicks. GEO aims for a mention inside the answer itself. The inputs overlap: crawlable pages, product data, clear content. The outputs differ: SEO is measured in rankings and clicks, GEO in how often and how accurately assistants name you.

For an online store, the differences look like this:

	SEO	GEO
The result	A link in a list of results	Your product named in a written answer
What the shopper does	Clicks through to compare	Often reads the answer and acts on it
What the engine reads	Your pages, links and structured data	Your pages, your product feeds and what other sites say about you
How stable it is	Rankings move slowly	Answers change from one run to the next
What you count	Rankings, clicks, revenue from search	Share of answers that name you, accuracy, citations

The second row is where the money moves. In a March 2025 Pew study of 900 US adults, Google users clicked a traditional result in 8% of visits when an AI summary appeared, against 15% when none did. The choice happens earlier, inside the answer.

The third row matters most for ecommerce. Microsoft names three data pathways into AI answers: feeds, crawled data and offsite data. A product feed is not part of classic web SEO, but it is part of how assistants pick products.

What is AEO vs GEO vs SEO?

SEO is the established practice of earning visibility in search results. AEO, answer engine optimization, and GEO, generative engine optimization, are newer names for earning a place in direct answers, especially AI answers. Google lists AEO and GEO together, and in practice they describe the same work.

Google’s guide defines the two acronyms side by side, as terms for work focused on improving visibility in AI search experiences, and does not treat them as separate disciplines. Microsoft’s guide uses GEO alone.

Google adds a warning: many suggested AEO and GEO “hacks” are not effective, it says, and it points readers to its guidance on evaluating third-party SEO advice before buying such services.

So the useful split for a store has two sides, not three:

• Search results. Your product and category pages ranking for what shoppers type, measured in Search Console and your analytics.
• AI answers. Your products being named, and described correctly, when a shopper asks an assistant, measured by sampling the answers.

Pick whichever label your team prefers. The measurement is what keeps the work honest.

Is SEO dead now with AI?

No. Google says SEO remains relevant for its generative AI features, with no extra requirements to appear in them. Microsoft says traditional SEO stays essential because AI systems run live web searches. What has changed is that fewer shoppers click through, so being named in the answer now matters too.

Google’s AI features page says there are no additional requirements to appear in AI Overviews or AI Mode beyond being indexed and eligible for a snippet. ChatGPT’s search, OpenAI explains, typically rewrites a question into one or more targeted web queries. Both start from pages a search crawler can read.

The traffic shift is real, but it starts small. Adobe reported that generative AI tools drove a 693.4% increase in traffic to US retail sites over the 2025 holiday season, and noted that the base of users remains modest. AI answers are where a growing share of the shortlist gets made.

How does generative engine optimization work?

It works by making your content easy for an AI system to use and cite. In the GEO study, adding quotations and statistics raised visibility the most, while keyword stuffing scored below baseline. For a store, complete product data and specific pages do most of the work.

The GEO paper tested nine ways of rewriting a source page and measured how much of the answer each page earned. The results show why old SEO habits do not carry over:

Visibility in generative engine answers, by optimization method

Source: Aggarwal et al., GEO: Generative Engine Optimization (KDD 2024), Table 1

Show data

Visibility in generative engine answers, by optimization method

Method applied to the source page	Value (points)
Keyword stuffing	17.7
No optimization	19.3
Authoritative tone	21.3
Cite sources	24.6
Fluency	24.7
Statistics addition	25.2
Quotation addition	27.2

The study used general web content, not product pages, and ran mainly on one model, GPT-3.5, with a smaller check on Perplexity. Read it as a direction: assistants favor pages that state specific, checkable facts.

For a store, that direction lines up with what the platforms tell merchants:

1. Complete product data. Microsoft’s guide says “completeness beats cleverness”: products with more filled-in fields do better. OpenAI says ChatGPT weighs structured metadata such as price and description when it picks shopping results.
2. Feeds kept current. Google points merchants to up-to-date Merchant Center information. Microsoft’s playbook says to keep price and inventory in sync between feeds and on-page data.
3. Specific pages. State what the product is, who it is for, how it differs, and answer the questions shoppers ask. Google says structured data is not required for its AI search, but is still a good idea.
4. Crawler access. Let the assistants’ search crawlers read your pages.

None of this is a trick. Our guide to ChatGPT recommendations walks through each step for ChatGPT in detail.

How do you measure GEO and SEO results?

SEO has mature tools: Search Console, analytics and rank tracking. GEO has partial ones. Google’s Search Console now reports impressions in AI Overviews and AI Mode, and Bing reports Copilot citations. For ChatGPT, Gemini and Perplexity, you measure by asking shoppers’ questions many times and counting.

Here is what each platform gives you:

• Google. The Search Console Generative AI performance report covers AI Overviews and AI Mode, rolled out to all websites as of August 31, 2026. It shows impressions. Merchant Center adds AI performance insights for stores in the US, Canada, Australia, India and New Zealand: your share of voice in AI Mode and AI Overviews, against competitors you define, for English-language queries.
• Bing and Copilot. Bing Webmaster Tools added an AI Performance report in February 2026, with citation counts across Microsoft Copilot and AI summaries in Bing. Bing notes that citation counts do not show ranking or placement.
• ChatGPT, Gemini app and Perplexity. None of them offers every store a report like Search Console. Perplexity announced a dashboard of search and shopping trends for retailers in its Merchant Program in 2024. For most stores, you measure from the outside.

Measuring from the outside has one trap: answers change from run to run. SparkToro’s research, 2,961 runs of 12 prompts, found less than a 1 in 100 chance that ChatGPT or Google’s AI would give the same list of brands in two answers. A rank in a single AI answer is noise. Your share across many answers is a measurement.

That is the measurement we built SourceVision for. We ask ChatGPT, Gemini and Perplexity the questions your shoppers ask, many times over, and report how often your products appear, with the range across runs. One of our users, the Shopify skincare brand Jericho, was recommended in 1 of 225 answers (0.44%) when we first measured it in September 2026. Then we draft what each product page is missing from facts you confirm, and nothing is written without your approval. See how it works.

SourceVision is in an invite-only beta.

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Keep SEO and GEO numbers side by side, on the same products. A product that ranks well in search but never appears in AI answers is your clearest signal of where to start.