Free tool, not actively developed; no accounts. AEO Platform no longer sells subscriptions.
Ecommerce
AI visibility for online retail and marketplace brands
Ecommerce AI visibility at a glance
AI visibility challenges for Ecommerce
- Product catalogue scale: thousands of products make comprehensive AI optimisation difficult
- Price sensitivity: AI engines sometimes default to recommending the cheapest option
- Marketplace competition: competing with Amazon, Walmart, and other mega-retailers in AI responses
- Product data consistency: information must match across your site, marketplaces, and review platforms
- Seasonal relevance: AI training data may not reflect current inventory or seasonal products
- Category breadth: broad-catalogue retailers struggle to achieve authority in specific product categories
How to optimise Ecommerce AI visibility
Implement comprehensive Product, Offer, and Review schema markup across all product pages
Create authoritative buying guides and category pages that AI engines cite for comparison queries
Build strong review profiles across multiple platforms to increase AI confidence in recommendations
Use llms.txt to define your brand position, key product categories, and unique value propositions
Optimise category landing pages with answer-first content explaining why your products stand out
Monitor AI engine product recommendations in your key categories weekly
Create "best for" content (best for runners, best for work, best budget option) that matches AI query patterns
Ensure product availability and pricing data is accurate and up-to-date in structured data
Queries to monitor for Ecommerce
Key engines for Ecommerce
Can AI crawlers read and cite your site?
Run the free check to see technical signals: AI crawler access, sitemap, llms.txt, schema markup, and FAQ and comparison pages. It does not read live AI answers. No account needed.