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Enterprise Layer Intelligence
Categories/SEO/Novi
Novi

Novi

Founded 2020

Increase ecommerce product recommendations across conversational search engines and shopping assistants

You can use Novi to track and improve how conversational search engines recommend your retail products. It analyzes how models like ChatGPT, Gemini, and Claude evaluate your catalog against competitors and identifies specific data gaps. You can test product positioning, inspect category-level signals, and distribute structured product attributes directly to sales channels. By updating feeds, product details, and digital footprint content based on these findings, you make your catalog easier for shopping bots to find, understand, and select during consumer queries.

What Novi does

Connect product catalogs to analyze recommendation readinessMonitor product citation frequency across conversational enginesUpdate product schema and attributes based on model criteriaTrack conversion rates from generative search trafficCompare catalog visibility against direct competitorsDistribute structured product information to retail partnersCategory behavior tracking across generative search enginesDirect catalog synchronization with ShopifyProduct content distribution via Syndigo integrationProduct-level attribute and schema markup guidanceRecommendation measurement across ChatGPT, Gemini, Claude, and PerplexityPre-launch positioning and product claim testing

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Novi, Answer Engine Optimization, AEO, Generative Engine Optimization, GEO, AI shopping, product recommendations, ChatGPT shopping, Perplexity search, ecommerce discovery, product schema markup, structured product data, product feed, category signals, digital shelf, Shopify catalog