From AI Potential to Performance Impact: The Thinking Behind Feedbooster
For many brands, AI has already entered the conversation.
The real question now is not whether AI matters, but how it can be used in ways that create tangible business value.
At Relevance, we see AI as a practical layer of intelligence that can improve how brands manage complexity, scale performance and make better use of the data and assets they already have.
This is especially important in e-commerce, where growth depends on thousands of small details working together across platforms, campaigns and markets.
One of those details is the product feed.
Product feeds are often treated as a technical requirement. In reality, they are a key performance asset.
The way products are titled, described, categorized and structured directly affects how they appear, how campaigns perform and how effectively brands can reach the right audience.
That is where Feedbooster comes in.
Feedbooster is Relevance’s AI-powered tool created to improve and optimize product feed content at scale. It helps transform large, complex feeds into stronger, more effective assets for performance marketing, supporting better campaign structure, clearer product information and stronger growth potential across channels.
Feedbooster's recent Gold Distinction at the AI in Marketing Awards 2026 by Boussias, in the category Best AI Tool for Content Creation & Optimization, is an important recognition of this work.
But for us, the value of Feedbooster goes beyond the award.
It reflects the way we believe AI should be used: with a clear business purpose, connected to measurable outcomes and designed to support both strategy and execution. We are grateful to the first clients who trusted the tool in practice and helped shape its development. Their early adoption helped turn an idea into a solution with real market application.
