Ecommerce GEO & AI SEO. Get recommended, then get bought.
Product research has moved into the assistant. Shoppers ask for the best option under a budget and act on the answer. Ecommerce GEO gets your products into that answer - and our AAIO work makes sure an agent can complete the purchase.
Product research now happens in one conversation
The old journey ran across reviews, comparison sites and a dozen tabs. Increasingly it collapses into a single answer naming two or three products. Being one of them is the whole game.
Best [product] under £80 that's actually in stockPrice, availability and specification all resolved at once from structured feed data.
[Product A] vs [Product B] - which should I buy?Head-to-head comparisons where attribute parity and review evidence decide the verdict.
Where can I buy [product] with next-day delivery?A fulfilment prompt decided by clear, machine-readable delivery and stock data.
What's the best value alternative to [brand]?Alternative prompts, one of the highest-intent and most winnable opportunities in retail.
We build your prompt set from your own category and run it against live models - these are illustrative.
Retail is where GEO and agentic commerce meet
Ecommerce is the one category where being cited is not the finish line. An assistant recommends, and increasingly an agent then tries to transact. Visibility without agent-readiness converts into nothing.
Your feed is your reputation
Price, stock and specification accuracy decide whether a model trusts you enough to recommend you at all.
Review corpus is evidence
Volume, recency and specificity of reviews are the evidence models use to justify a recommendation.
Recommendation is only half
If the agent cannot complete checkout, the citation is worthless. Readiness has to follow visibility.
What ecommerce GEO involves
Category prompt audit
We test the buying prompts in your categories and map where your products appear, where competitors win and why.
Product data & feed optimisation
Complete, accurate, machine-readable product, price, stock and specification data across every surface.
Comparison & alternative content
Answer-shaped comparison content built to be quoted when shoppers ask which to buy.
Handover to agentic readiness
We connect GEO visibility to our AAIO work so a recommended product is also a purchasable one.
Accuracy compounds, inaccuracy punishes
Retail GEO rewards operational discipline more than creativity. Models cite sources that have been consistently right, and quietly stop citing sources that have been wrong.
Discrepancies between your site, feeds and marketplaces undermine trust across every surface at once.
Missing attributes mean silent exclusion from filtered recommendations - you never see the loss.
A stale review corpus reads as a declining product. Recency carries real weight in model judgements.
How we measure ecommerce GEO
- Product and category citation share in AI answers
- Inclusion rate in comparison and alternative prompts
- Feed accuracy and attribute completeness scores
- AI and assistant referral revenue in GA4
- Review corpus volume, recency and sentiment
- Agent readiness pass rate on key journeys
- Before/after prompt testing on live models
- Marketplace and third-party data consistency
We work across regulated and high-consideration categories
Ecommerce GEO questions
What is ecommerce GEO and AI SEO?
How is this different from Google Shopping optimisation?
Does GEO actually drive revenue for retailers?
What if an AI recommends us but the agent can't check out?
How important are reviews?
See which products AI recommends in your category
We'll run your category prompts against live models, show where competitors are named instead, and check whether an agent could even buy from you.