AI Product Visibility: e-commerce GEO for products, categories, and catalogs.

I measure how AI engines read, compare, and recommend products, categories, product pages, attributes, reviews, and buying guides. Not just brand visibility: product-level visibility.

Analyze your catalog
how it works
01

Product query map

I map commercial prompts by category, use case, price, comparison, problem, alternative, and buying intent.

02

Recommendation audit

I check whether ChatGPT, Perplexity, Gemini, Claude, and Google AI recommend your products or your competitors' products.

03

Product pages and catalog readiness

I review product pages, categories, schema, merchant data, attributes, variants, images, reviews, and FAQ content.

04

Priority content gaps

I define what is missing to make products easier to understand: buying guides, comparison pages, attributes, tables, and verifiable claims.

05

Operating roadmap

I deliver a sequence of interventions for product pages, categories, and source content, prioritized by commercial impact.

what you get
AI visibility audit by category and product
Map of AI-recommended competitors
Product page, schema, feed, and attribute analysis
Content priorities for buying guides and comparison pages
E-commerce GEO roadmap for more citable products
who it's for

E-commerce brands selling comparison products

When users ask AI what to buy, you need to know whether it recommends you or a competitor.

DTC and Shopify brands

You have catalog, product pages, and campaigns, but do not know whether products are legible to AI engines.

E-commerce teams with SEO in place

Ranking and traffic are not enough if AI recommendations cite marketplaces or alternative products.

Want to know where to start?

Send context, website, and objective. I'll reply with the most sensible first step.

Analyze your catalog