Industry · Ecommerce
AI Visibility for ecommerce
AI shoppers ask LLMs 'best running shoes for flat feet' — and buy what's recommended. Make your SKUs the answer.
Discovery
How AI shopping assistants discover products
Six engines. Six ranking systems. One AI Visibility strategy.
ChatGPT
Recommends products via built-in shopping and web browsing. Weights structured product data, review coverage, and brand entity strength.
Gemini
Blends Google Shopping graph + Merchant Center + product schema. AI Overview surfaces recommendations directly in results.
Claude
Cites long-form comparison content and analyst-style reviews heavily. Wins on well-structured comparison tables.
Perplexity
Perplexity Shopping cites product pages with structured attributes, price, and reviews visible inline.
Amazon Rufus
Amazon's shopping assistant recommends based on catalog attributes, review sentiment, and Amazon-native signals.
Google AI Mode
Full-page AI answer for commercial queries. Surfaces product cards, comparison grids and cited stores.
Product feed engineering
Schema.org Product + Offer + Rating everywhere, canonical images, GTIN, review markup, freshness monitoring.
Category capture
Win 'best {product} for {use case}' prompts across hundreds of long-tail commercial queries per LLM.
Revenue attribution
AI recommendation → click → cart → checkout. Quantify AI-attributed GMV per LLM per week.
Case benchmark
+312%
avg. AI-attributed booking growth · Tourism.mu · 90 days
Ecommerce · AI Visibility · FAQ
One last thing
If AI doesn't recommend you, your business is already invisible.
Find out where you stand in 30 seconds. Free. No credit card.