Novi crawls your homepage, product, collection and content pages the way AI crawlers do, and checks robots.txt, llms.txt, bot challenges and agent endpoints for eight named AI crawlers.
Category architecture, HTML-first, static HTML, structured data, answer-first content, semantic HTML, and security and bot access.
Run the same audit on your retailer and marketplace pages, at catalog scale.
Can an AI agent find the price, check stock, add to cart and check out? Novi checks GTINs, offers, shipping and emerging agent protocols, so you're ready for when agents buy.
Point Novi at your domain. Native support for Shopify, Hydrogen, BigCommerce and Next.js; any other stack is crawled as-is.
Every finding comes with what the AI sees, why it matters, the exact file to change and copy-paste code.
Findings become one task list. Tick a task when the fix is live; Novi re-checks it for free, and a task passes only on evidence.
Re-run the audit whenever you ship, and whenever the engines change.
Novi complements your existing AI visibility tools with category-level intelligence that reveals what drives product recommendations, where your products fall short, and which optimizations matter most.
Talk to salesAgentic Readiness measures how effectively AI crawlers and shopping agents can access, interpret, and interact with a website. It focuses on making product information discoverable, machine-readable, and accessible to AI-powered search and commerce experiences.
Structured data helps AI-powered systems interpret product information, including attributes, pricing, availability, and other important details. Accurate and consistent structured data can make it easier for supported systems to understand a product and evaluate its relevance within a category.
Novi evaluates factors that affect how AI systems access and interpret website content, including site architecture, HTML accessibility, structured product data, semantic content, and crawler access. The goal is to identify technical and content-related gaps that may limit AI product discovery.
Not necessarily. Many AI readiness improvements involve updating existing product content, correcting structured data, improving HTML accessibility, or addressing crawler restrictions. An audit helps identify which changes should be prioritized without requiring a complete website redesign.
