Make your product feed your sales pitch
Shoppers aren't browsing anymore. They're asking AI. For your products to appear in AI recommendations, your product data must be structured, enriched, and easy for AI systems to understand and recommend.
3 easy steps to get your product feed AI-ready
Optimize with AI Enrich
Enrich product attributes for LLM discovery in seconds
For each SKU, generate:
- Selling points optimized for conversational AI
- Pre-generated consumer queries and answers
- Contextual descriptors for intent-based queries
- Summaries that highlight product advantages
Publish to AI Channels
Push your feeds to LLMs automatically, with continuous monitoring and validation
Sell products through ChatGPT
Integrate directly with ChatGPT to make your products visible and purchasable through OpenAI's conversational interface.
Learn moreBe discoverable on Perplexity
Enable instant product visibility within Perplexity, where consumers explore and compare products through conversational search.
Learn moreMeasure with AI Visibility
Measure and control how your products perform in AI search
Measure and control how your products perform in AI search. Gain access to data monitoring dashboards that show you how certain product categories and top-selling brands are showing up in OpenAI, Gemini, AI mode, and Perplexity on a weekly basis. Then, use the findings to inform how you enrich your product attributes, ensuring your products are recommended over competitors.
AI search is happening everywhere. Adjust your feed strategy.
It’s not just new LLM platforms you have to worry about. Many advertising channels are also adopting AI search. For instance, your Google Merchant Center feed strategy now needs to extend to AI Mode and Gemini, and your feed strategy for Microsoft Bing should include Copilot.
Learn more about Productsup’s solution for advertising channels →
Prepare your product catalog for AI with Productsup
Conversion-ready discovery
Show up in AI search, increase conversions, and scale product visibility without manual work.
Pilot-tested expertise
Rely on our experienced team as early adopters in running US agentic commerce pilot projects with major retailers.
AI at scale
Expand your existing product feed's potential with access to 2,500+ channels, including emerging AI platforms and endpoints.

Enterprise-grade control
Manage millions of SKUs with centralized governance, full visibility, and strong brand protection.
Explore more of Productsup’s AI resources

The new rules of feed management for agentic commerce
Discover what the new “product feed” looks like in the age of AI discovery and purchases.

Current agentic commerce news and trends
Bookmark our central hub where we compile the top stories and resources related to AI-driven commerce each week.

Turn AI-generated chats into conversions
Explore Productsup’s offerings for connecting your product data directly to AI channels, like ChatGPT and Perplexity.
Explore what makes Productsup truly unique
Advanced AI and automation
All-in-one platform
Top-rated performance
Two trillion products processed each month
Global partner network
Academy for self-paced learning
Frequently Asked Questions (FAQs)
What is agentic commerce?
Agentic commerce refers to the emerging era of AI-driven shopping, where AI shopping agents and AI shopping assistants handle product discovery, comparison, and checkout for consumers.
How do AI assistants change product discovery?
Instead of searching through multiple websites, shoppers ask AI assistants for recommendations. These systems analyze product data, reviews, and structured feeds to surface relevant products, making high-quality product data essential for visibility.
Why is AI product feed optimization critical to agentic commerce shopping?
Because the product feed has become the new product detail page. AI agents read and interpret product feeds directly. Optimized data ensures your products are accurately represented, improving discoverability and conversion rates.
What type of product data do AI commerce platforms use to recommend products?
AI commerce platforms rely on structured product data, including titles, descriptions, attributes, images, pricing, availability, and identifiers. Well-structured feeds help AI assistants interpret products accurately and improve the chances of being recommended in AI-powered search and conversations.
Which AI channels support product discovery today?
Currently, Google Gemini, AI-mode ChatGPT, Perplexity, and Microsoft Copilot lead the way in conversational commerce, with more agentic shopping platforms expected to follow. Our platform enables seamless feed syndication to these AI shopping channels.





