AI and search visibility, tuned to your category.
GEO for e-commerce: get your products picked by AI shopping agents.
ChatGPT Shopping, Perplexity, and Gemini now compare products and recommend one. We make sure the recommended product is yours - with the right specs, reviews, and category positioning.
What your buyers actually ask AI.
What is going wrong right now
Shopping agents shortlist for the buyer
ChatGPT Shopping and Perplexity return a small set of products. Outside that set, price and ads do not matter.
Product data is thin where it counts
Materials, dimensions, compatibility, and care details are the exact fields models use to justify a pick.
Reviews are not machine-readable
Thousands of reviews sitting inside a widget contribute nothing unless they are structured for retrieval.
Category positioning is undefined
Without a clear 'best for' framing, the model has no reason to prefer your product over a cheaper one.
What you get
Product entity graph
Product + Offer schema with specs, materials, sizing, and use-case structuring for LLM retrieval.
Review aggregation
Structured signals across Amazon, Trustpilot, Reddit, and specialty publications AI cites when comparing products.
'Best for' query coverage
Retrieval-optimized content for 'best [product] for [use case]' - the exact prompts consumers use.
Category authority
Positioning as the category-authoritative brand so AI treats your recommendations as ground truth.
SKU-level tracking
Track share of voice per SKU, per category, per month across AI shopping surfaces.
Return + warranty signals
Structured return policy and warranty data so AI answers 'is this brand trustworthy' correctly.
How it works step by step.
Shopping-prompt audit
Probe ChatGPT Shopping, Perplexity, Gemini with the exact buying prompts your customers use.
Catalog + review schema
Product, Offer, AggregateRating schema tuned per SKU and category.
Editorial + comparison placements
Placements in the publications AI actively pulls product recommendations from.
Monthly re-scoring
SKU-level share-of-voice screenshots across every major AI shopping surface.
What changes for you
- Your products appear in AI shopping shortlists for their real use cases.
- Specifications and availability are accurate wherever a model reads them.
- Review sentiment is structured and citable, not locked in a widget.
- Traffic arrives closer to purchase because the recommendation was already made.
Frequently asked questions
Do you work with Shopify, Amazon, or BigCommerce stores?+
All of them. GEO is platform-agnostic - the signals live outside your storefront in the sources AI cites.
What about seasonal SKUs and limited drops?+
Seasonal entities and release-window structuring so AI surfaces the right SKUs at the right time.
How does this compare to Amazon SEO?+
Amazon SEO wins searches inside Amazon. GEO wins the earlier 'which product should I buy' conversation AI models are now hosting.
Can we track AI-attributed sales?+
Yes. Chat-referrer detection, custom UTM handling, and prompt monitoring feed into your analytics stack.
How fast will we see AI-attributed orders?+
First AI-attributed traffic typically shows in 30–45 days, compounding across 2–4 months.
Ready to get recommended by AI?
Allocation is capped. Apply now to see if your business qualifies.