Salsify launches SalsifyIQ an intelligence layer commerce

Salsify has launched SalsifyIQ, an intelligence layer for product experience management in AI-driven commerce.

The addition to Salsify's platform brings together product data, internal brand rules, retailer requirements and external market signals. It is aimed at brand manufacturers, retailers and distributors managing product information across digital sales channels and AI-based shopping interfaces.

SalsifyIQ is the core system behind a broader expansion of AI tools and data connectivity across the platform. It is intended to help customers manage product content and channel requirements as shopping shifts beyond conventional search to more conversational forms of discovery and recommendation.

According to Salsify, the new layer creates a product knowledge graph built from four sources: shelf knowledge, product experience management knowledge, brand knowledge and ecosystem knowledge. These inputs include retailer-specific schemas, implementation guidance, brand terminology and shopper personas, along with analytics such as conversion data and shopping trends.

Platform changes

Alongside SalsifyIQ, Salsify is extending its conversational assistant Angie across the platform. Users will be able to use natural language commands for tasks including building computed properties and seeking support through the knowledge base.

The company is also adding new functions to its Intelligence Suite. These include an AEO Accelerator for generating question-and-answer and use-case copy for large language models and answer engines, as well as AI image generation tools for tasks such as background removal, colour changes and lifestyle image creation.

Salsify is also introducing what it calls autonomous syndication tools, including automapping and auto-healing features. These are designed to analyse retailer requirements and correct schema errors with limited human input.

Another addition is support for the Model Context Protocol, or MCP. This will allow customer AI agents and third-party systems to access approved product attributes and context-rich data through a standardised protocol, aiming to make it easier to share product information across internal systems and external tools.

Salsify framed the changes around what it sees as a broader shift in digital commerce. Product data management now requires more context and faster execution as AI systems increasingly mediate how shoppers find and assess products, it said.

"Product facts are just the starting line. To win today, systems need to truly understand your products to effectively represent and recommend them in conversations," said Julie Marobella, chief product officer at Salsify.

"This level of multi-dimensional complexity outpaces human capacity, requiring a whole new level of context to be stored alongside your product data to power dynamic, conversational experiences. SalsifyIQ is the intelligent fabric that weaves together these contextual truths, allowing our customers to turn their product data into a strategic driver of growth on every shelf," Marobella said.

Salsify operates in the product experience management market, where software providers help consumer brands and retailers organise, distribute and update product listings across online marketplaces, retailer sites and other channels. It says it serves thousands of customers in more than 140 countries, including large consumer brands and retailers.

The launch reflects a broader push by software providers to adapt product information systems for AI-based search and recommendation tools. As retailers, brands and technology vendors test agent-based shopping services, the quality, structure and accessibility of product data have become more central to how goods are surfaced and described online.

For Salsify, the move broadens the role of its platform from managing records and syndicating content to supporting automated actions and machine-led interactions. The company said human teams, AI agents and automated workflows should work from the same shared context.

The aim is to reduce the manual work involved in updating, optimising and publishing product content across channels. Salsify's description of the new system suggests it wants customers to rely more heavily on software to resolve formatting issues, generate content variants and keep retailer submissions aligned with changing requirements.

The company has also published a new white paper on what it calls the shift from "search and sort" to "inquiry and advice", setting out its view of how brands should adapt product content for AI-mediated commerce.

Salsify said SalsifyIQ is designed to let customers turn product data into a shared source of intelligence for digital and agentic shelves.