Enrich your product data for AI channels
Create AI-ready product content for thousands of SKUs
Consumers ask questions, AI gives answers, and AI Enrich ensures your products show up in the results. Create rich, contextual, and conversational product content at scale, without adding workload or relying on IT. Prepare your catalog for a new generation of agentic product attributes.
How AI Enrich transforms your product data
Generate product highlights
Turn product features into selling points optimized for LLMs.
Make it easier for AI systems to understand, recommend, and prioritize your products in responses.
Create Q&A pairs
Surface the questions your customers are asking with answers ready to match.
Ensure your products are discoverable in AI-driven queries.
Add contextual tags
Tag products with real-life contexts, such as “weekend getaway” or “home office setup”.
Help customers find products based on themes, not just categories.
Incorporate competitive differentiators
Generate clear, concise summaries of what makes your product the best choice.
Showcase the advantages that matter most, driving higher click-through and conversions.
Why brands choose Productsup as their agentic commerce partner
Smarter alternative to point solutions
Avoid the complexity of standalone enrichment tools. Productsup brings enrichment, syndication, and performance tracking together in one platform.
Scalability with brand control
AI Enrich generates suggestions and can apply changes in bulk. However, your team retains full control to approve or edit content before it goes live, ensuring brand safety and trust.
Evolves with agentic commerce changes
Align your catalog with the latest agentic attributes, like Google’s themes, product highlights, and feature lists. Improve visibility, relevance, and performance as this space evolves.
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.
See our enterprise feed management and syndication platform in action
Trusted by global brands
FAQ
Why is product data enrichment important for agentic commerce?
Product data enrichment is critical for agentic commerce because AI systems rely on rich, structured, and contextual product information to discover, evaluate, and recommend products. In AI-driven environments like ChatGPT, Gemini, and Perplexity, your product feed becomes your sales pitch. Without AI-powered product data enrichment, products lack the depth needed for AI to understand use cases, answer customer questions, or match complex queries. AI product data enrichment ensures your catalog includes detailed attributes like product highlights, Q&A, and contextual tags, making your products more visible, relevant, and competitive in AI search results.
What types of product data can be enriched with Productsup AI Enrich?
Productsup AI Enrich enhances multiple layers of product data to improve discoverability and performance across AI and traditional channels. This includes:
- Product highlights (AI-optimized selling points)
- Customer-focused Q&A pairs
- Contextual use-case and occasion tags
- Competitive differentiators
This type of AI enrichment transforms basic product data into rich, contextual content that aligns with how customers search and how AI systems interpret product information.
How does Productsup’s AI Enrich work?
Productsup AI Enrich sources rich, externally-trusted content (e.g., product reviews, editorial sources, forums, and independent benchmarks) to generate agentic attributes per SKU: product highlights, Q&A pairs, use-case and occasion tags, and competitive differentiators. These outputs are integrated into your product data workflows, where teams can review, approve, and apply updates. This combines automation with human oversight, ensuring both efficiency and brand control.
Do I need product data enrichment if I already have supplier data?
Yes, supplier data alone is not enough for modern commerce. Most supplier feeds contain basic, technical attributes but lack the contextual, customer-focused content required for AI discovery and conversion. Productsup’s product data enrichment fills these gaps by adding meaningful context, optimizing for search and AI queries, and ensuring consistency across channels.
What data formats are supported for Productsup’s product data enrichment?
Productsup supports a wide range of data formats for product data enrichment, including CSV, XML, JSON, API feeds, and direct integrations with PIM, ERP, and ecommerce platforms. This flexibility ensures that AI product data enrichment can be applied regardless of your existing tech stack, making it easy to integrate enrichment into your current workflows without disruption.
How do I choose the best product data enrichment software?
The best product data enrichment software should go beyond basic content generation and deliver scalable, AI-powered capabilities. Key factors to consider include:
- Ability to handle large product catalogs (thousands of SKUs)
- AI-powered product data enrichment for contextual and SEO-optimized content
- Integration with existing systems (PIM, ERP, ecommerce platforms)
- Automation with human oversight
- Channel-specific optimization (e.g., Google Merchant Center, AI search platforms)
- End-to-end workflow support (enrichment, validation, syndication)
How does Productsup AI Enrich help with Google Merchant Center?
Productsup AI Enrich enhances your Google Merchant Center feeds by filling in missing or weak attributes with rich, optimized content. This includes agentic attributes designed for AI-driven discovery in Gemini AI Mode and Google AI Search. The result: stronger relevance and higher Google Shopping ROAS on your existing ad spend, plus visibility in Gemini AI Mode and Google AI Search where shoppers are increasingly discovering products.