Recommendations from Agent Search
Take advantage of Google's expertise in recommendations, powered by state-of-the-art machine learning models. Provide effective and real-time personalization with the recommendations capability of Agent Search (formerly Recommendations from Vertex AI Search).
Overview
Choose your outcome
Customize recommendations to deliver your desired outcome: engagement, revenue, or conversions. Apply business rules to fine-tune what customers see, diversify product displays, and filter by product availability, custom tags, and more.
Your data, your models
Your data and models are yours and yours alone. They’ll never be used for any other Google product nor shown to any other Google customer. You’re never locked in, and can delete your data and models anytime.
Fully managed service
No need to preprocess data, train or hypertune machine learning models, load balance, or manually provision your infrastructure to handle unpredictable traffic spikes. We do it all for you automatically.
How It Works
Convert shoppers. Recommend products based on models like user history and frequently bought together. Use cart events to optimize and increase your conversion rates.
Engage and retain audiences. Recommend media content (articles, video) based on watch history. Optimize for goals like converting trial subscriptions or growing ad inventory.
Recommendations for any use case. Try our recommendations capability for a cross industry or generic recommendations use case.
Convert shoppers. Recommend products based on models like user history and frequently bought together. Use cart events to optimize and increase your conversion rates.
Engage and retain audiences. Recommend media content (articles, video) based on watch history. Optimize for goals like converting trial subscriptions or growing ad inventory.
Recommendations for any use case. Try our recommendations capability for a cross industry or generic recommendations use case.
Media industry
Media companies are harnessing AI with Google Cloud today to recommend personalized content and advertisements to viewers and reap business results, such as increased engagement, viewership, and ad revenue.
Customer examples
Media companies are harnessing AI with Google Cloud today to recommend personalized content and advertisements to viewers and reap business results, such as increased engagement, viewership, and ad revenue.
Retail industry
Retail companies are harnessing AI with Google Cloud today to recommend tailored products and promotions to shoppers and reap business results, such as increased sales, average order value, and customer lifetime value.
IKEA Retail (Ingka Group) increases global average order value for ecommerce by 2% with Recommendations AI.
Hanes Australasia identified a double-digit uplift in revenue per session with Recommendations AI.
1-800-FLOWERS.COM, Inc. uses Google Recommendations AI to deliver personalized recommendations to their shoppers.
Customer examples
Retail companies are harnessing AI with Google Cloud today to recommend tailored products and promotions to shoppers and reap business results, such as increased sales, average order value, and customer lifetime value.
IKEA Retail (Ingka Group) increases global average order value for ecommerce by 2% with Recommendations AI.
Hanes Australasia identified a double-digit uplift in revenue per session with Recommendations AI.
1-800-FLOWERS.COM, Inc. uses Google Recommendations AI to deliver personalized recommendations to their shoppers.
