Ecommerce GEO: get your products named when buyers ask ChatGPT, Gemini and Google AI Mode
I work on the product data, schema and category content that AI assistants read when they recommend what to buy, so your store shows up in the answer with the right price, stock and attributes.
Where stores drop out of AI answers
AI assistants can’t look at a product photo or guess availability from a button colour; they read structured data and text, and when those are thin or contradict each other, the product gets described loosely or skipped in favour of a store that is easier to read.
Product data AI can’t confirm
Incomplete Product and Offer schema, or price and stock that differ between page, feed and markup, leave the assistant without a reliable answer to “how much” and “is it available”.
Category pages that only list products
A grid of products helps people browse, but it gives an assistant nothing to quote when someone asks which material, size or style fits their situation.
A brand that isn’t clearly defined
Without Organization markup and consistent brand facts across your site and profiles, models struggle to tell what you specialise in and how you differ from a marketplace selling similar products.
Missing from the sources models trust
Assistants build recommendations from reviews, comparisons and editorial coverage they already recognise, so a store that is absent there has a harder time being named, however good the product is.
Four questions buyers ask AI before they buy
Shopping prompts follow a few recurring patterns, from early exploration to choosing where to order. Each one draws on a different part of your data, which is why I map the fixes to the question they answer.
Ecommerce GEO services built on the same foundations as your SEO
Schema, content architecture and clean product data move both organic rankings and AI citations, so I plan them together and each fix counts twice.
01AI visibility audit
A fixed set of buyer prompts for your main categories, run across the leading assistants, showing where you’re named, where you’re missing and where you’re described wrongly, alongside a review of schema coverage across the catalogue.
02AI crawler access
Server log analysis showing which AI bots visit your store, which pages they read and which URLs return errors to them, plus a robots.txt, CDN and firewall review. I separate the crawlers that collect training data from the ones that fetch pages for live answers, so you decide which to allow instead of blocking them by accident.
03Structured data
Markup completed on product pages with brand, description, price, availability, shipping and returns, and ratings from genuine reviews, kept in line with the feed and checked with Google’s Rich Results Test.
04Category content
Structured copy on your priority category pages that answers the questions buyers ask about that category, written so it works for AI Overviews, AI Mode and assistants that browse the web.
05Brand entity
Organization markup that states your specialisation, markets and sales channels, with the same brand facts repeated consistently on your site and the profiles models cross-check, so a niche store is read as a specialist. I also track the attributes assistants associate with your brand, the objections they raise against it and any false claims, traced back to the pages they come from.
06Feeds for AI shopping surfaces
Google’s AI shopping features draw on product data from Merchant Center, so I bring the feed, the page and the markup into agreement on price, stock and attributes, using the same feed work behind the results further down this page.
07Monitoring by category and query type
Monthly tracking of visibility (the share of prompts where you’re mentioned), average position in the answer, sentiment and share of voice against your competitors, broken down by category and query type and read alongside AI referral traffic and sales.
How your ecommerce GEO strategy runs, from baseline to tracked results
Buyer questions and access
We choose the categories, markets and competitors to track, and I write the questions your buyers would ask an AI assistant, from generic ones like “best oak dining table” to ones that name your brand. You share read-only access to Search Console, analytics and Merchant Center.
Baseline and priority list
A snapshot of where you appear today and a written list of fixes scored by impact and effort, so your team knows where to start.
Implementation sprints
Monthly sprints with a defined focus, where I ship schema, content and feed fixes directly or work alongside your developers and content team.
Monitoring and next focus
Each month closes with your presence across the prompt set, AI referral sessions and orders from analytics, and an agreed focus for the next sprint.
Simone Parodi, ecommerce SEO consultant
I moved from agency work to independent consulting over four years ago, and since then I’ve worked with DTC brands and medium and large ecommerce businesses. The approach on this page comes from that work, across SEO, Merchant Center and AI search.
Questions brands ask about ecommerce GEO
What is ecommerce GEO?+
Generative engine optimisation is the work of making your store and products easy for AI assistants to read, trust and cite. For an online store that means complete product markup, category pages that answer buyer questions, a clearly defined brand and consistent product data across your site, feed and the sources models draw on.
How does an ecommerce GEO strategy fit with our SEO?+
GEO and ecommerce SEO share the same technical base of schema, content architecture and site quality. SEO targets rankings in search results and GEO targets citations in AI answers, so I run them as a single plan and pick fixes that move both.
Can you guarantee our products will appear in ChatGPT?+
No one can guarantee that, because AI answers vary by prompt, user and model version. What I can do is fix the reasons you’re being left out or misdescribed, then track your presence across a fixed prompt set each month so you can see whether it’s moving.
Which AI assistants do you track?+
ChatGPT, Gemini, Perplexity, Google AI Mode and AI Overviews by default. If your buyers lean on another assistant in a specific market, we add it to the prompt set.
Does GEO work for smaller stores?+
Often yes. Assistants tend to cite specialist sources for specific questions, so a niche store with well-structured data can be named for the queries in its segment, where outranking a marketplace in classic search results would take far longer.
Should we block AI bots?+
It depends on which ones. Crawlers that collect training data and crawlers that fetch your pages to answer a live question are separate bots with separate user agents, so you can block the first group and still allow the second. Many stores block both by accident through a default robots.txt rule or CDN bot protection, and the audit shows whether that’s happening on yours.
How do you measure results?+
Two ways: four metrics across the prompt set (visibility, average position, sentiment and share of voice against competitors), tracked monthly by category and query type, and sessions and orders from AI referrers in your analytics. Reading them together shows whether changes in visibility are turning into sales.
What access do you need?+
Read-only access to Search Console, analytics and Merchant Center is enough for the audit. For implementation we agree on access based on who ships the fixes.
How soon will we see changes?+
Schema and feed fixes can be picked up by Google’s AI features once the pages are recrawled. Changes in how assistants describe and recommend your brand usually take longer, since they depend on new content being indexed and on coverage in other sources building up over several months.
Let’s see where your store stands in AI answers
Pick a time for a 1:1 call with me. We talk about your store, your categories and the markets you sell in, and after the call I send you a written proposal with the scope and next steps.