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Guide · 6 minute read

AI visibility for ecommerce, explained

When a shopper asks ChatGPT "what's the best running shoe for flat feet under $150", the engine does not show ten links. It writes a short answer and names three or four stores. AI visibility is how often your store makes that list. You will also hear it called GEO (generative engine optimization) or AEO (answer engine optimization).

From question to order

How a shopper's question becomes a sale

Five steps, and your store can drop out at any of them.

1. The shopper asks

A full question, often with a budget and a need.

"best stability shoe for flat feet under $150"

2. The engine reads

Product feeds, store pages, reviews, Reddit threads, review sites and buying guides.

3. It writes a short list

Three or four stores, each with a reason, a price and often a source link.

4. The shopper picks

They click a product card or a source. Many pick from the answer itself.

5. The order lands

On a store that was in the answer. If that is not you, it is a rival.

The number that matters

Share of answers

Rankings do not exist in an AI answer, so we measure something simpler. Take 50 real questions your shoppers ask. Run each one in 5 engines. That makes 250 answers. Your share of answers is how many of them name your store.

The panel

50 questions

"Best X for Y", "X vs Y", price-band questions, use cases and trust questions such as "is this brand legit".

The engines

5 engines

ChatGPT, Gemini, Google AI Mode, Perplexity and Copilot. Each answers the same question differently.

The score

Named in 20 of 250 = 8%

Run the same panel every week and you can see the share move, engine by engine, against your rivals.

Who named whom: one example category

Times each store was named across the same 50 questions, per engine. Invented stores, example data.

Swipe the table sideways to see every column →

ChatGPTGeminiGoogle AI ModePerplexityCopilot
Fieldstone Run3127222918
Northway Footwear1921171116
Corva Athletic12915138
Your store46433

What the engines read about your store

Every engine builds its answer from sources it can reach and trust. For an online store, five matter most:

  1. Your product feed. Google's AI Mode and Gemini draw product cards from the Google Shopping Graph, which your Merchant Center feed fills. Some other engines let merchants submit product feeds too.
  2. Structured data on your pages. Product and Offer schema tell a machine your price, stock, shipping, returns and rating. Without it, an engine has to guess.
  3. Pages that answer the question. A collection page with a two-line answer and a short FAQ is easy to quote. A wall of product tiles is not.
  4. Reviews and ratings. Engines lean on ratings they can read and on reviews they find on other sites.
  5. Other people talking about you. Review sites, "best of" lists, Reddit threads and YouTube videos. Perplexity in particular cites these by number.
Gaps in product data are common, and each one can keep a store out of answers it should win. Score your store with the checklist.

AI visibility vs SEO

SEO still matters. Many engines search the web before they answer, so a page that ranks is easier to find. But the prize is different: a place in a list of three instead of a link among ten.

Swipe the table sideways to see every column →

Classic SEOAI visibility
Where you show upA blue link among 10Named in the short list the engine writes
Winners per searchAbout 10 links on page 1About 3 stores per answer
What decides itLinks, keywords, page speedProduct data, your feed, answer pages and the sources engines trust
How you measure itRankings and clicksShare of answers across 5 engines, every week

Words you will hear

  • GEO and AEO: generative and answer engine optimization. Two names for the work of getting named in AI answers.
  • Mention: an answer names your brand or product.
  • Citation: an answer links to a page as its source. Your own page or someone else's.
  • Cited page: one of your URLs that an engine quotes.
  • Schema: structured data in your page code that describes a product for machines.
  • llms.txt: a short text file at your domain that tells AI engines what your store sells and where to look.
  • Shopping Graph: Google's database of products, built in large part from Merchant Center feeds.
Questions

AI visibility questions, answered

Is AI visibility the same as GEO?
Yes. GEO (generative engine optimization) and AEO (answer engine optimization) are other names for the same work: getting your store named and cited in AI answers.
Does SEO still matter if shoppers use ChatGPT?
Yes. Many engines search the web before answering, so pages that rank and load fast are easier to find. AI visibility adds product data, feed quality, answer pages and outside sources on top.
How do I know if my store shows up in AI answers?
Ask the questions your shoppers ask in each engine and count how often you are named. Doing that by hand for 50 questions across 5 engines takes a day, which is why our free audit does it for you.
Which engines matter for online stores?
ChatGPT, Gemini, Google AI Mode and AI Overviews, Perplexity and Copilot. They read different sources, so a store can be named in one and missing in another.
How long does it take to show up?
Engines can pick up product data fixes within weeks. Changing who engines recommend usually takes months, which is why we measure over 90 days.
How do I improve my store's AI visibility?
Fix the data engines read first: product schema, your Merchant Center feed, prices and stock. Then publish pages that answer your shoppers' questions and earn mentions on the sites engines cite.
Free audit

See how often AI answers name your store

We run 50 real shopper questions across ChatGPT, Gemini, Google AI Mode, Perplexity and Copilot, score your 8 product data checks, and walk you through it on a 30-minute call.

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