Coveo vs. Algolia: Why Choose Coveo for Search & Product Discovery?
Magic Quadrant™ research reports
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
72%
Coveo AI learns what content is making your customers successful to predict
reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Key insights for technology purchasing decisions
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Ut enim ad minim venia exercitation ullamco
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Duis aute irure dolor in reprehenderit in voluptate velit esse.
© 2025 Coveo Solutions Inc. All Rights Reserved.
Get the report today!
A Gartner Magic Quadrant is a culmination of research in a specific market, giving you a wide-angle view of the relative positions of the market’s competitors. By applying a graphical treatment and a uniform set of evaluation criteria, a Magic Quadrant helps you quickly ascertain how well technology providers are executing their stated visions and how well they are performing against Gartner’s market view.
The insight engines category
In this latest report, Gartner® recognized 15 vendors in the insight engine market, including Coveo. Once referred to as enterprise search, “insight engines combine search with AI to deliver actionable insights derived from the full spectrum of content and data sourced within and external to the enterprise,” according to Gartner®.
If you're a large commerce business evaluating Coveo and Algolia, or seeking an enterprise-ready Search and Product Discovery alternative to Algolia, congratulations! You are on the right path to significantly enhancing your capabilities through AI.
Download the report and get:
Coveo is recognized as a Leader in the 2024 Gartner® Magic Quadrant™ for Search and Product Discovery, ranking highest for Ability to Execute among the 18 companies evaluated.
Search as a Secondary Offering
Bloomreach is primarily a Digital Experience Platform with only basic Search & Product Discovery capabilities, which are used by a very limited number of their customers.
Outpaced Technology
Despite their launch of Loomi, it is still built on an outdated search engine with limited connectivity and retrieval capabilities. It faces challenges in handling conversational commerce use cases for Product Discovery.
Focuses on mid-market and struggles to meet the needs of large enterprises. Their solution requires manual tuning of relevance, must give prior notification during peak seasons, and constantly deal with outsourced and inefficient customer support.
Designed for Mid-market
Focused on Search
Search & Product Discovery are at the core. Coveo’s AI platform is comprehensive, committed to delivering relevant and personalized experiences that are focused on driving business outcomes.
Already leveraging award-winning GenAI to unleash the full power of conversational commerce for Product Discovery use cases, driving high ROI.
GenAI Pioneer
Designed for scale and proven in deployments with millions of SKUs, thousands of attributes, and multi-region catalogs and languages, the Coveo platform excels in every aspect, from technology and security to customer success.
Built for Enterprise Scale
Speed Over Relevance
Algolia is designed to prioritize speed over relevance, which affects both keyword and vector search. Feedback from customers and analysts suggests that its semantic search capabilities are limited.
Designed for SMB to Mid-market
Algolia struggles to meet enterprise needs, requiring manual relevance tuning and facing difficulties with complex catalogs and blended product-content search due to strict record size limits. Index management becomes a logistical nightmare, with even basic operations like sorting by price needing three indices.
Algolia’s GenAI approach is experimental and ill-suited for conversational commerce use cases, particularly due to its limitations in non-product content retrieval.
Unproven GenAI
Algolia
Unparalleled Relevance
Coveo delivers fast, relevant, and personalized 1:1 results that drive business KPIs by leveraging a robust suite of AI models for retrieval and re-ranking.
Coveo is purpose-built to handle complex catalogs and requirements. From cutting-edge technology and advanced security to unparalleled customer success, every aspect of the platform is designed to meet the needs of enterprise customers.
Built for Enterprise Scale
Coveo is a trusted leader in GenAI, with customers already leveraging its award-winning technology to deliver conversational experiences grounded in their expertise and catalog
GenAI Pioneer
Unparalleled Relevance
Coveo delivers fast, relevant, and personalized 1:1 results that drive business KPIs by leveraging a robust suite of AI models for retrieval and re-ranking.
Coveo is purpose-built to handle complex catalogs and requirements. From cutting-edge technology and advanced security to unparalleled customer success, every aspect of the platform is designed to meet the needs of enterprise customers.
Built for Enterprise Scale
Coveo is a trusted leader in GenAI, with customers already leveraging its award-winning technology to deliver conversational experiences grounded in their expertise and catalog
GenAI Pioneer
Speed Over Relevance
Algolia is designed to prioritize speed over relevance, which affects both keyword and vector search. Feedback from customers and analysts suggests that its semantic search capabilities are limited.
Designed for SMB to Mid-market
Algolia struggles to meet enterprise needs, requiring manual relevance tuning and facing difficulties with complex catalogs and blended product-content search due to strict record size limits. Index management becomes a logistical nightmare, with even basic operations like sorting by price needing three indices.
Algolia’s GenAI approach is experimental and ill-suited for conversational commerce use cases, particularly due to its limitations in non-product content retrieval.
Unproven GenAI
Algolia
How Coveo Compares
Our customers voted Coveo #1 across the board