Source URL: https://cloud.google.com/blog/products/ai-machine-learning/gartner-magic-quadrant-for-search-and-product-discovery/
Source: Cloud Blog
Title: Google is a Leader in the 2025 Gartner® Magic Quadrant™ for Search and Product Discovery
Feedly Summary: We’re thrilled to announce that Google has been named a Leader in the Gartner® Magic Quadrant™ for Search and Product Discovery.
We believe this recognition affirms Google’s evolving commitment to delivering AI solutions tuned to unique industry challenges, empowering businesses to transform the digital commerce experience and deliver high ROI-generating product discovery, through the use of AI in relevance, ranking, and personalization.
Download the complimentary 2025 Gartner Magic Quadrant for Search and Product Discovery
Built upon Google’s deep expertise & knowledge of the way users search, interact with & purchase products across a broad landscape of commerce domains, Vertex AI Search for commerce is a fully-managed, AI-first solution tailored for e-commerce.
Redefining product discovery with generative AI
As digital channels continue to increase in traffic and adoption, businesses in e-commerce need to navigate the challenges involved in providing great digital experiences. Customers expect relevance, convenience, and personalization.
Vertex AI Search for commerce uses the best of Google AI to drive personalized product discovery at scale, optimized for revenue-per visitor. This enables businesses to not only understand user intent, but proactively surface the right products and content to shoppers through a variety of multimodal capabilities that leverage the latest advancements in generative AI.
Search and browse: Powering digital commerce sites and applications with Google-quality capabilities highly tuned for e-commerce and revenue maximization.
Conversational search: Enabling real-time, back and forth conversation, powered by Gemini models to guide users through their shopping journeys, while optimizing for conversion.
Recommendations: Deliver highly personalized recommendations at scale.
Semantic image search: Users can search by image (“find this blouse”) or by a combination of text & image (“find the shoes that would look great with this blouse”).
In particular, our customers have noted our leadership in conversational search through one of our latest offerings, Conversational Commerce, which helps retailers provide assisted shopping on any digital channel, to engage with customers in a more natural and human-like conversation. This includes helping customers find their desired products online or helping a store associate answer questions using data from multiple sources to increase buying confidence for customers worldwide.
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Intuitive search at the speed of intent, tuned for ecommerce
Search is changing as consumers are leveraging longer queries, seeking more comprehensive answers to questions.
Over the past decade, we’ve made significant strides in understanding user intent and refining our proprietary algorithms, now enhanced with gen AI. This has become increasingly important as user search behavior and the shopping journey have evolved, transforming the retail landscape. Unlike traditional models that are not AI-native, Vertex AI Search for commerce nearly eliminates the need for manual overriding to re-rank results and compensate for suboptimal search quality. Our solution is developed to help businesses, from digitally native e-commerce companies to traditional retailers, adapt to this new era of buying and selling by leveraging AI to maximize revenue.
Access to cutting edge AI/ML models: Vertex AI Search for commerce redefines e-commerce search using powerful AI / ML models like Gemini for unparalleled accuracy and relevance.
Leverage Google’s proprietary intelligence: Vertex AI Search for commerce utilizes Google Shopping’s vast query & click datasets, along with our most advanced knowledge graphs, to train our industry-leading AI Relevance models.
Advanced intent detection: Interprets complex queries and nuances in user intent beyond simple keyword matching, focusing on semantic meaning for intuitive results.
AI-based catalog optimization: Retail catalog search results are enhanced by combining Google Shopping’s effective web crawlers with Google’s extensive understanding of web content and our unique AI models.
Deep and scalable personalization: Analyzes individual shopper behavior, preferences, and historical data to deliver tailored product recommendations and search rankings, boosting satisfaction, conversions, and loyalty.
Managed deployment: Offers a fully managed solution for seamless integration and launch, minimizing engineering overhead.
Flexible customization and control: Businesses can customize the search experience with specific business rules and optimization objectives, aligning with unique KPI goals and other unique metrics.
The future of e-commerce is personalized and simplified
We believe being positioned as a Leader in the Gartner® Magic Quadrant™ for Search and Product Discovery underscores Google’s proven ability to deliver real business value. Vertex AI Search for commerce provides a comprehensive, AI-first solution that guides your customers through the buying journey, ensuring they find exactly what they need, every time.
To download the full 2025 Gartner Magic Quadrant for Search and Product Discovery report, click here, and for more information on Vertex AI Search for commerce, see here or register for our upcoming product roadmap webinar.
Gartner, Magic Quadrant for Search and Product Discovery – Mike Lowndes, Noam Dorros, Sandy Shen, Aditya Vasudevan, June 24, 2025
Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Google.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.
AI Summary and Description: Yes
Summary: The announcement highlights Google’s recognition as a leader in the Gartner Magic Quadrant for Search and Product Discovery, showcasing their Vertex AI Search for commerce. This AI-driven solution enhances product discovery in e-commerce by personalizing the shopping experience through advanced technologies.
Detailed Description:
The provided text discusses Google’s recognition in the Gartner Magic Quadrant and emphasizes its AI-centric approach to enhancing e-commerce through the Vertex AI Search for commerce solution. Key points include:
– **Leadership Recognition**: Google has been named a leader in the Gartner Magic Quadrant for Search and Product Discovery, affirming its efforts in AI development tailored to industry needs.
– **Vertex AI Search for Commerce**:
– A fully-managed, AI-driven platform designed specifically for e-commerce.
– Focuses on relevance, ranking, and personalization to enhance the digital commerce experience and generate ROI.
– **Technological Innovations**:
– **Generative AI**: Utilizes the latest advancements in generative AI to redefine how products are discovered, allowing personalization at scale and optimizing for revenue per visitor.
– **Conversational Search**: Implements real-time dialogue features, enhancing user engagement and simplifying the search process for consumers.
– **Multimodal Capabilities**: Combines text and image searches to offer intuitive product searches based on visual and textual queries.
– **Business Benefits**:
– The solution helps retailers address challenges related to digital commerce by providing personalized recommendations and improving overall customer satisfaction.
– Aids businesses in understanding user intent through sophisticated algorithms that adapt to changing search behaviors.
– **Enhanced User Experience**:
– Advanced intent detection improves search accuracy by interpreting complex queries and nuances.
– Deep personalization techniques analyze shopper behavior to deliver customized experiences that increase conversion rates and customer loyalty.
– **Operational Efficiency**:
– Managed deployment reduces engineering demands, allowing businesses to implement the solution with minimal overhead.
– Flexible customization options enable businesses to align the search experience with specific objectives and KPIs.
The document emphasizes that as customer expectations evolve, Google’s AI-first approach positions it to lead in enhancing e-commerce experiences. The strategic use of AI not only streamlines search processes but also maintains high engagement and conversion rates in a competitive digital landscape.