Coveo vs. Algolia: Why Choose Coveo for Search & Product Discovery?

Magic Quadrant™ research reports

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72%

Coveo AI learns what content is making your customers successful to predict

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Key insights for technology purchasing decisions

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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.

Learn how AI Search and GenAI can help you!

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Analysts Agreed - 

Coveo is a Recognized Leader

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Despite their launch of Loomi, it is still built on an outdated search engine with limited connectivity and retrieval capabilities.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

Why leading enterprises choose Coveo

Here's what our customers have to say

“Finding the right partner, which was Coveo to come in and help us deliver those relevancy models was so important to us. It’s not just about the search bar-it’s about the entire experience that our customers are having.”
Artie Sharpe
Senior Director, Innovation, Hearts on Fire
“With Coveo’s machine learning (ML), we’ve seen increases in all of our key metrics. For example, in the first few months of deployment, one of our brand sites saw a 25% improved conversion rate with search.”
Jessica Frame
Ecommerce Manager, Caleres
“We see the success in customer  surveys where they rate the shopping experience as ‘Great’. And our customers tell us with their buying behavior. This past year, FleetPride.com sales grew more than 400%.”
Darren Taylor
SVP Marketing & Digital, FleetPride

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

Auto Compelete
9.3
8.8
File Types
8.6
8.2
Global Language Support
8.5
8.4
Faceted Search
9.4
8.5
Ranking and Relevancy
9.1
8.6
Conversion
8.9
7.9
Personalization
9.1
8.9
 

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How Coveo Compares

Our customers voted Coveo #1 across the board