Product Feed Management

Product feed management is the process of creating, optimizing, and distributing structured product data to every sales channel where consumers discover and buy products -- from Google Shopping and Amazon to AI agents like ChatGPT and Perplexity.

A product feed is a structured data file (typically XML, CSV, or JSON) containing your product catalog: titles, descriptions, prices, images, availability, variants, and attributes. Feed management involves transforming raw catalog data into the specific format each channel requires, keeping it synchronized as products change, and optimizing it for maximum visibility.

The feed management software market was valued at approximately $4.5 billion in 2024 and is projected to reach $11.2 billion by 2033, growing at 11.6% CAGR (Future Market Report, 2025). This growth reflects the expanding number of channels retailers must support -- traditional marketplaces, social commerce, and now AI shopping agents.

In traditional ecommerce, a consumer might find your product through browsing, even if your data is incomplete. In agentic commerce, AI agents make recommendations based entirely on structured data. If your feed is missing attributes, has outdated prices, or uses vague descriptions, AI agents simply skip your products.

Each AI platform has its own feed requirements. OpenAI's commerce feed specification defines what ChatGPT needs. Google's UCP has different requirements. Perplexity, Claude, and emerging agents each have their own formats. Managing feeds for dozens of channels -- with each requiring different structures, update frequencies, and optimization strategies -- is the core challenge of modern feed management.

Platforms like Paz.ai automate this multi-channel distribution, transforming a single catalog into optimized feeds for every AI shopping channel.

• Data transformation: Converting raw catalog data into each channel's required format -- field mapping, category taxonomy alignment, variant handling
• Optimization: Enhancing titles, descriptions, and attributes for maximum visibility on each channel (AI agents prioritize different attributes than Google Shopping)
• Syndication: Distributing updated feeds to all channels at the right frequency -- some channels need hourly updates, others daily
• Monitoring: Tracking feed health, error rates, disapproval rates, and coverage across channels
• Error resolution: Fixing data quality issues that cause products to be rejected or suppressed