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Big News! We’re Thrilled to Be Named a Challenger in the 2025 Gartner® Magic Quadrant™ for Search and Product Discovery

Big News! We’re Thrilled to Be Named a Challenger in the 2025 Gartner® Magic Quadrant™ for Search and Product Discovery

Gartner® Magic Quadrant™ 2025 Graph for Search & Product Discovery
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We’re excited to share that Rezolve Ai has been named a Challenger in the 2025 Gartner® Magic Quadrant™ for Search and Product Discovery, a major milestone that highlights our commitment to reshaping the future of ecommerce with our AI for commerce solutions.

In today’s fast-moving digital landscape, consumers expect seamless, personalized shopping experiences. Meeting that demand requires intelligent, agile, and forward-thinking solutions, and that’s exactly what we deliver with our AI-first Conversational Commerce and Search & Product Discovery platform. Our mission is to empower retailers to deliver exceptional, AI-driven digital experiences that drive revenue, boost customer satisfaction, and increase operational efficiency.

Why Rezolve Ai Stands Out

In a crowded landscape of ecommerce solutions, Rezolve AI stands out. We combine proprietary technology, world-class AI and machine learning algorithms, and a deep focus on commerce-specific needs to deliver unparalleled results. Here are four key differentiators that set us apart:

  • A Holistic Digital Commerce Platform: We are the ecommerce powerhouse with an end-to-end platform designed to unify and elevate your entire digital commerce experience with conversational commerce, intelligent search, recommendations, enrichment, SEO, geofencing, and checkout, all integrated for simplicity and performance. We’re also continuously developing and releasing new features to ensure our platform evolves with the latest trends and technologies, empowering you to stay ahead in the dynamic world of digital commerce.
  • Conversational AI, Purpose-Built for Retail: Our foundational LLM is trained specifically on vast amounts of commerce data, ensuring unmatched relevance and accuracy tailored for the nuances of retail. This proprietary LLM powers our conversational commerce solutions, allowing customers to effortlessly interact with your business in everyday language for everything from product discovery to checkout and customer support. Our conversational AI, purpose-built for retail, is designed to truly understand the intent, behavior and context of every customer interaction. This means results are highly accurate, relevant, and personalized, without the hallucinations and model drift often seen with generic LLMs.
  • AI-First Search & Recommendations Powered by Google Cloud Vertex AI Search for Commerce: Our platform is built from the ground up on Google’s cutting-edge AI and machine learning algorithms that are trained on 1.8 trillion events and continuously learn from over 85 billion new daily interactions across Google’s vast product ecosystem. This enormous amount of data allows us to precisely understand user intent, identify patterns, predict behavior, and continually optimize for the most accurate, relevant, and highly personalized search results, thereby creating enhanced digital shopping experiences for your customers.
  • Fast and Flexible Deployment: Our solution is completely platform-agnostic, guaranteeing the fastest deployment times and offers seamless integration with any major commerce platform. This means rapid time-to-value and quicker ROI, without the headaches.

The Gartner Advantage: Recognition and Validation

Being named a Challenger in the 2025 Gartner® Magic Quadrant™ for Search and Product Discovery is a significant achievement. The Gartner report highlights Rezolve Ai’s strengths, including our vision around conversational commerce, our advanced data enrichment capabilities, and our transparent, usage-based pricing. 

Here are some key takeaways from the Gartner report that solidify Rezolve Ai’s position in the market:

A Vision Built Around Conversational Commerce

Rezolve Ai is leading the evolution of Conversational Commerce with our proprietary LLM purpose-built for retail, designed to deliver truly personalized, human-like shopping experiences at scale. 

As reported by Gartner, we offer a “wider agentic/GenAI platform oriented to the emergence of conversational UIs, including conversational search.” Unlike generic AI models, our retail-specific LLM is trained on your brand’s voice and catalog, ensuring consistent, trusted responses. It understands shopper intent, behavior, and context in real time, delivering tailored recommendations with the charm and confidence of your top-performing sales associate.

Behind the scenes, our agentic AI orchestration coordinates specialized agents optimized for different parts of the buying journey, making product discovery, comparison, and purchase assistance seamless and intuitive. With built-in multilingual support, your customers can engage naturally in their preferred language, breaking down barriers and boosting global reach.

From initial search and product discovery, to post-purchase care, Rezolve Ai’s Conversational Commerce reduces friction, accelerates conversions, and strengthens customer loyalty through intelligent, real-time interactions that feel truly personal.

Elevated Discoverability and AI Readiness with Enrich AI

With the current wave of large language models (LLMs) and their potential to revolutionize business processes, the challenge of poor quality product data has never been more crucial to address. For businesses to truly harness the power of AI, having clean, standardized, and well-structured data is absolutely key for successful LLM implementation across their operations. 

In addition, poor or inconsistent product data remains one of the biggest blockers to effective search and conversion, especially in B2B and large-scale retail environments. That’s where Enrich AI, our self-serve Catalog-as-a-Service data enrichment platform, makes a meaningful impact.

As reported by Gartner, our “Enrich AI module enables the optimization of sparse or poor catalogs for search retrieval, for example, by turning unstructured and/or supplier information and product image features into attributes that can be searched.” By automating enrichment tasks that previously required extensive manual effort, Enrich AI transforms low-quality or incomplete data into structured, searchable attributes. 

This not only enhances product discoverability but also serves as the foundational data layer essential for seamless AI integration across all your business processes, ultimately freeing your merchandising teams to focus on strategy instead of data cleanup.

Transparent, Usage-Based Pricing

Another way that Rezolve Ai stands out is with our transparent pricing model that aligns with your growing business. As Gartner notes, “Rezolve Ai uses a simple usage-based model, charging per 1,000 Search and Browse API calls. There are no additional fees for autocomplete, ingestion, catalog size or PDP clicks. Enrich AI is priced per SKU.”

This predictability empowers digital commerce leaders to budget with confidence and scale without unexpected cost spikes, ensuring you’re never surprised by hidden fees or add-ons. You’ll always know exactly what you’re paying for, allowing for clear ROI measurement and strategic planning. 


Looking Ahead

Being named a Challenger by Gartner is both a proud moment and a reflection of the progress we’ve made. It affirms our leadership in AI for commerce — and fuels our commitment to continuous improvement.

As we look ahead, our focus remains on expanding our global presence and continuing to help retailers unlock the full potential of AI to create exceptional shopping experiences that grow revenue and build customer loyalty. With Rezolve Ai, businesses don’t just adapt to change – they lead it, creating shopping experiences so intuitive, engaging and personalized that customers fall in love with retail all over again. 

Ready to see Rezolve Ai in action? Get a product tour and discover how our AI-first Conversational Commerce and Search & Product Discovery platform can transform your online shopping experience.


Source: Gartner, Magic Quadrant for Search and Product Discovery, Mike Lowndes, Noam Dorros, Sandy Shen, Aditya Vasudevan, 24 June 2025.

Gartner and Magic Quadrant are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

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.

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