Yahoo Plugs Amazon Bedrock Into Search Retargeting on Its Yahoo DSP Ad Platform

Yahoo has connected Amazon Bedrock to the Search Retargeting (SRT) system in its Yahoo DSP ad platform. The AWS Machine Learning Blog reports that the integration extends advertisers' reach through AI analysis of search intent, both on Yahoo's own properties and across partner networks.

What is SRT search retargeting?

SRT is a core audience-targeting tool in Yahoo DSP that lets advertisers reach users based on their search query history. The technology links search intent to display, video and native advertising: if a user searched for "laptops" on Yahoo Search, an advertiser can show them an ad in an entirely different context, such as on a partner site or in a video.

Before the Amazon Bedrock integration, SRT worked mainly with keywords that users typed directly into the Yahoo Search bar. The updated version goes beyond that limit: AI models identify search intent not only on Yahoo's own properties but also through connected partner systems, covering a wider range of user signals.

Why did Yahoo choose Amazon Bedrock?

Amazon Bedrock is a managed AWS service that provides access to foundation language models from Anthropic, Meta, Mistral and other providers through a single API. Its key advantage for enterprise ad tech is that it lets companies deploy powerful LLMs without building their own training infrastructure or maintaining models by hand.

Yahoo DSP operates under strict performance requirements: the platform takes part in real-time ad auctions, where a delay of a few milliseconds affects revenue. Bedrock lets Yahoo plug in the right models for specific tasks, such as classifying search intent, semantically expanding queries and building audience clusters, without rebuilding its entire ad infrastructure from scratch. That lowers the operational risk of putting LLMs into production systems with tight response-time requirements.

What changed for advertisers?

The Amazon Bedrock integration lets SRT move beyond exact keyword matching. AI models analyze a user's search behavior as a whole: which queries they entered, which categories interest them, and how their intent changed over time. The result is audiences built on semantic intent rather than a literal phrase match.

According to the service description on the AWS Machine Learning Blog, the updated SRT gives advertisers:

• Reach among users with relevant search intent, even if they never visited Yahoo Search directly
• Cross-channel targeting: display, video and native ads based on a single search profile for each user
• Aggregation of partner signals: SRT collects search activity from integrated external systems
• A direct bridge between search and media channels: intent is converted into targeting without intermediate steps

"SRT is a core audience-targeting tool that helps advertisers reach

users based on their historical search behavior, connecting search intent with display, video and native advertising," the official AWS Machine Learning Blog states.

What this means

Yahoo DSP is one of the larger independent players in the ad market, and its move to Amazon Bedrock reflects a broader trend: major ad tech platforms are shifting to LLM infrastructure to interpret user signals in real time. Competition over audience-targeting quality is increasingly decided not by the size of a cookie base but by how accurately AI can read intent and how quickly it can turn that intent into a relevant ad impression.

*Meta is designated an extremist organization and banned in Russia.