AI Shopping Visibility measures how likely your products are to appear when shoppers ask AI assistants like ChatGPT, Gemini, Perplexity, and Claude for product recommendations. It is a score from 0 to 100 that reflects how well your product data, structured markup, content quality, and commerce signals align with what AI shopping systems need to recommend products confidently.
Sixthshop measures AI Shopping Visibility across four pillars: Schema & Data Trust (35% weight) — evaluates JSON-LD markup, GTINs, and product identifiers. Content & Intent Match (25%) — analyzes how well product descriptions match the way shoppers ask AI assistants for recommendations. Media & Visual Signals (20%) — checks image quality, alt text, and visual content completeness. Commerce & Eligibility (20%) — reviews pricing clarity, availability signals, return policies, and review data.
AI shopping assistants are becoming a primary way consumers discover products. Unlike traditional search where brands compete for link positions, AI shopping is a recommendation-based system. Products with higher AI Shopping Visibility scores are more likely to be mentioned and recommended when shoppers ask questions like "What's the best carry-on luggage?" or "Best sustainable running shoes under $150."