Standard product feeds are built for filters and keywords (like "blue shirt"). An Agentic Catalog is built for reasoning. It provides the deep context, like "best for humid weather" or "fits true to size” that an AI needs to confidently recommend your product to a specific shopper.

While traditional SEO can take months, AI models are constantly "learning." Most brands see a shift in how they are mentioned and cited within a few weeks of updating their catalog data and following the recommendations provided by Redo.

Actually, the way Redo does it helps. The same high-quality data that AI agents love is exactly what Google’s search engine looks for. By optimizing for AI, you are effectively "future-proofing" your traditional SEO at the same time.

We provide clear insights that track: Share of Voice: How often AI recommends you vs. your competitors. Citations: How often the AI actually links back to your product page. Accuracy: Ensuring the AI is describing your features correctly. Orders: How many orders are coming through these agentic channels.

No. You can use our one-click optimization to sync these improvements directly to your store (like Shopify), or you can export our recommendations and give them to your team to implement manually.

AI platforms prioritize products with the best context and structure. Redo analyzes how these AI models "see" your brand, then helps you update your product titles, descriptions, technical code (schema), and content so the AI chooses to cite your products more often.

AI agents are tools like ChatGPT, Perplexity, Gemini, or Claude. Instead of giving you a list of links to research, agents "read" the internet to give shoppers direct recommendations. If an agent can’t "read" your product data easily, it won't recommend your brand.