We’re proud of our recognition as a Gartner Magic Quadrant Leader for Search and Product Discovery in the inaugural report. How did we do it? It is based on our Ability to Execute and Completeness of Vision.

The Gartner Critical Capabilities for Search and Product Discovery report offers a detailed analysis and evaluation of Algolia AI Search. As our CEO, Bernadette Nixon, points out, “To be recognized by Gartner, in our opinion, affirms the effectiveness of the solutions we have on offer for both B2C and B2B search. We feel it’s a testament to our unyielding commitment to innovation and mastery in the search and discovery space.”

The report makes it easier for prospective clients to critically evaluate between various search and discovery offerings. Gartner defines search and product discovery as “applications that augment digital commerce solutions to facilitate navigation, filtering, comparisons, and ultimately, selection of products.”

The Critical Capabilities report is based on a systematic evaluation of 18 vendors operating in the market. It offers a detailed analysis of available features and capabilities and provides a deeper understanding of the products and services offered by vendors.

Use cases and capabilities

The Gartner Critical Capabilities report highlights the specific functionalities and Use Cases and ranks the evaluated vendors.

Based on the Gartner evaluation, Algolia AI Search ranked highest for the Multi-site and Globalization Use Case (4.25/5), which evaluates digital commerce organizations leveraging search and discovery capabilities to scale experiences across multiple geographies and/or brands. We also received the following scores in the three other Use Cases:

• B2C Search
• B2B Search
• Customer or partner portals

Advancing search and discovery

As an essential companion to the Gartner Magic Quadrant, the Critical Capabilities report provides deeper insight into providers’ product and service offerings by extending the Magic Quadrant analysis.

We believe it delivers an unbiased, third-party perspective on the unique range of advanced AI-supported search and discovery tools and capabilities of the evaluated vendors.

In addition to helping prospective clients evaluate our product against their specific needs and requirements, we believe the scores are a validation of Algolia’s unswerving commitment to delivering cutting edge and world-class AI-supported search and discovery solutions.

With advanced tools and functionality, including AI Browse, AI Recommendations, Merchandising Studio, and Analytics, all harmonized within a multi-tenant SaaS framework, Algolia AI Search delivers global scale with built-in, out-of-the-box support for over 70 languages.

We help empower users by turning each search interaction into a smooth, seamless user experience, delivering lightning-fast search results and unlimited scalability. Algolia AI Search serves over 17,000 clients across 150+ countries globally, processing over 1.7 trillion customer queries annually and boasting 99.999% uptime with 30 billion records indexed.

Get your complimentary report of the first Gartner Magic Quadrant for Search and Product Discovery 2024.

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.

GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. Gartner, Magic Quadrant for Search and Product Discovery, Mike Lowndes, Aditya Vasudevan, et al, 13 May 2024. Gartner, Critical Capabilities for Search and Product Discovery, Mike Lowndes, Aditya Vasudevan, et al, 14 May 2024.