Your product data is your AI sales pitch
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.
Be discoverable on Perplexity
Enable instant product visibility within Perplexity, where consumers explore and compare products through conversational search.
Measure 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 product discovery is happening across every channel. Is your feed strategy keeping up?
Prepare your product catalog for agentic commerce with Productsup
AI-ready product discovery optimization
Show up in AI search, increase conversions, and scale product visibility without manual work.
Pilot-tested agentic commerce expertise
As an early adopter in running US agentic commerce pilot projects with major retailers, rely on our experienced team to help you navigate new strategies.
Product feed syndication at enterprise scale
Expand your existing product feed's potential with access to 2,500+ channels, including emerging AI platforms and endpoints.
Enterprise-grade feed management and governance
Manage millions of SKUs with centralized governance, full visibility, and strong brand protection.
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
FAQ
What is agentic commerce and how does it affect ecommerce brands?
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 autonomously on behalf of consumers. For ecommerce brands, this represents a fundamental shift: your products must now be discoverable and recommendable by AI systems, not just searchable by humans. Brands that understand the differences between agentic commerce vs. traditional ecommerce are already restructuring their product data strategies to compete.
How do AI shopping agents change product discovery for brands?
Instead of consumers browsing websites or entering search queries, AI shopping agents surface and recommend products based on how well your product data is structured, enriched, and complete. The question has shifted from "can shoppers find us?" to "can AI shopping assistants read, interpret, and recommend our products?" High-quality, AI-optimized product data is now the foundation of product visibility.
Why is product data completeness critical for AI commerce?
AI agents read product feeds directly to make recommendations. Incomplete attributes, poor titles, or missing identifiers mean your products won't be surfaced, regardless of how strong your brand is. Meeting AI shopping agent product data completeness requirements is the single most important step brands can take to appear in AI-generated recommendations.
What product data attributes matter most for AI shopping recommendations?
AI commerce platforms prioritize structured product data, including accurate titles, detailed descriptions, complete attribute sets, high-quality images, pricing, availability signals, and unique identifiers. Brands that properly structure product attributes for LLM recommendations and meet the specific product data requirements for OpenAI shopping, Google AI Mode, and Perplexity AI significantly improve their chances of being recommended in conversational and agentic commerce contexts.
Which AI channels support product discovery today, and how do I get listed?
Google AI Mode, ChatGPT (via the OpenAI agentic commerce protocol), Perplexity AI, and Microsoft Copilot are the leading AI shopping platforms today. Each has distinct feed preparation and syndication requirements. Productsup enables enterprise brands to optimize and syndicate product feeds to all of these platforms, including support for how to rank products in Perplexity AI shopping results, how to appear in Google AI Mode shopping results, and how to optimize product catalog for ChatGPT recommendations.
How does Productsup help brands future-proof their product data strategy for AI commerce?
Productsup's agentic commerce feed management platform is built for exactly this transition. Whether it’s product data enrichment for Google AI Mode discovery, feed syndication for AI shopping platforms, or support for emerging standards like llm.txt for ecommerce catalog visibility, Productsup gives enterprise brands the infrastructure, expertise, and channel reach to lead in AI-driven commerce.


