Enrich your product data for AI channels

AI Enrich transforms your product catalog into engaging, contextual, and on-brand content, designed for discovery on ChatGPT, Perplexity, Gemini, and other AI channels.

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Deliver 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. Productsup turns your data into rich, contextual, and conversational product content at scale, without adding to your workload. Rely on our platform to prepare your catalog for a new generation of agentic product attributes.

How AI Enrich transforms your product data

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Product highlights

We turn your product features into selling points optimized for LLMs, making it easier for AI systems to understand, recommend, and prioritize your products in responses.

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Q&A pairs

AI Enrich surfaces the questions your customers are asking with answers ready to match, ensuring your products are discoverable in AI-driven queries.

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Contextual tags

Products are tagged with real-life contexts, such as “weekend getaway” or “home office setup”, helping customers find them based on themes, not just categories.

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Competitive differentiators

Clear, concise summaries capture what makes your product the best choice, showcasing the advantages that matter most to drive 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

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    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.

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    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.

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    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.