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Coveo Relevance Cloud

Coveo Relevance Cloud


What is Coveo Relevance Cloud?

Coveo is an enterprise search technology which can index data on disparate cloud systems making it easier to retrieve. It has integrated plug-ins for, Sitecore CEP, and Microsoft Outlook and SharePoint.

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Coveo is a versatile software that serves as a central hub for search and knowledge management across organizations. Users have found …
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Entry-level set up fee?

  • Setup fee optional
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  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Starting price (does not include set up fee)

  • $600 per month
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Product Demos

Coveo Demo Webinar: AI Powered Personalization for Websites

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Product Details

What is Coveo Relevance Cloud?

Coveo is a cloud-based relevance platform. Coveo is an intelligence layer that injects relevance into digital experiences, with applied AI-driven solutions spanning intelligent search through to solutions for eCommerce, Service, and Workplace. Using AI recommendations and personalization, the Coveo Relevance Cloud is used to increase the relevance of experiences at every touchpoint.

Capabilities include:
  • Intelligent Search - Relevant content and answers with automatic query completion and intelligently ranked results.
  • Recommendations - Predicts what each person will want and automatically displays the most relevant content for them. Connects search insights to interaction data from any touchpoint for a truly seamless experience.
  • Personalization - Delivers content, interfaces, and journeys tailored to individuals, not segments. With a search and content personalization platform, AI tailors content instantly, letting clicks and queries shape the experience, not thousands of rules.

Coveo is available as solutions for various use cases:


Delivering personalized customer experiences in real-time, optimizing with every customer click and interaction. And as an alternative to popularity sorting, Coveo AI can showcase offerings that are both relevant to individual customers and that contribute to profitability. Coveo will also automatically ensure that search results reflect the right products and pricing according to data in a connected CRM or ERP data, managing product restrictions at query time based on this data. ​

Coveo also helps to manage the complexity of B2B ecommerce, so that buyers can navigate catalogs efficiently with search capabilities tailored to their needs- from partial part number search to dynamic filters. Or boost a marketplace's performance with relevant search results and personalized buying experiences. Coveo can display the products visitors are most likely to buy with an algorithm that leverages every shopper interaction and datapoint (eg. site behavior, profile attributes, similar users, and frequently added to cart).

Service & Support

AI improved answers for customer self-service, and AI-driven discovery for contact center support. Coveo can also provide engaging content for community sites, with insights into how these groups discover and use content. Coveo can also give customers the help they need inside an app or SaaS product, so they can get things done without ever leaving. Personalized content recommendations can be provided in-app to help users self-serve.


For general sites, Coveo helps to connect each visitor to the content they need with intelligent site search and recommendations. Personalize the experience and help them engage, learn, and convert. And then make sure internal site search is as intuitive for customers as the search engine that brought them in, with features like as-you-type query suggestions, typo tolerance, and relevance-based result rankings.


Help that enables employees to work more effectively and productively in the systems they already use, by unsiloing knowledge with AI-powered search and information discovery into workplace apps. Coveo's AI can be layered into a workplace intranet software, to make the company's digital hub a go-to place for employees. Coveo centralizes access to knowledge resources from various repositories and personalizes the experience for each department and person. In a connected knowledge management system, Coveo search can make it easier for domain experts to find information and documents specific to their line of work, whether it's sales, legal, or engineering.

Coveo boasts more than 1,500 successful implementations around the world, with clients including Tableau, Dell, Palo Alto, Xero, and Motorola Solutions. Coveo is supported by a network of accredited global partners, integrators and alliances, including Salesforce, ServiceNow, Sitecore, Accenture, Deloitte, and Ernst & Young.

Coveo Relevance Platform is a trademark of Coveo Solutions, Inc.

Coveo Relevance Cloud Features

  • Supported: Website - AI powered Intelligent Search, Recommendations, Personalization, and user analytics
  • Supported: Service and Support - Self Service (community, in-product support, chatbots), Agent Enablement, ticket deflection
  • Supported: Workplace - Company Intranet, Employee Self Service, Internal Help Desk, Line-of-business intelligence
  • Supported: Commerce - Deliver intuitive search, relevant recommendations, and behavior-based personalization with AI on tap for every part of the shopper journey.

Coveo Relevance Cloud Videos

Coveo uses AI to personalize millions of digital experiences for every single customer, dealer, partner and employee.
Coveo Relevance Generative Answering

Coveo Relevance Cloud Competitors

Coveo Relevance Cloud Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

Coveo is an enterprise search technology which can index data on disparate cloud systems making it easier to retrieve. It has integrated plug-ins for, Sitecore CEP, and Microsoft Outlook and SharePoint.

Coveo Relevance Cloud starts at $600.

Algolia, Yext, and Lucidworks Platform are common alternatives for Coveo Relevance Cloud.

The most common users of Coveo Relevance Cloud are from Enterprises (1,001+ employees).
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Reviews and Ratings


Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Coveo is a versatile software that serves as a central hub for search and knowledge management across organizations. Users have found value in its ability to filter and gather important news from registered clients, create profiles and documents, and stay informed about available items for web application development. Additionally, Coveo's data search and investigation capabilities on a protected panel enable clients to find specific information about products. By streamlining document management and involving representatives from different departments in the search process, Coveo has led to improved search results, reduced time spent searching for information, and decreased ticket requests for missing or irrelevant documents. The support team of Coveo has also been highly helpful in assisting users throughout their experience. Furthermore, Coveo Relevance Cloud has been utilized for various projects, resulting in improved content search, increased article consultation, and case deflection. By integrating Coveo with Salesforce, users can efficiently index and search data for knowledge base purposes. Overall, Coveo provides powerful search capabilities and solves organizational problems by connecting knowledge management platforms, providing intelligent recommendations based on search needs, enabling self-service for information retrieval, and improving the user experience with dynamic and personalized searches.

Flexible and Customizable Platform: Users have found Qubit to be a highly flexible and customizable platform, allowing them to enhance the user experience beyond the regular deployment roadmap. Several users appreciate Qubit's capability to personalize the website for different customer segments based on their behavior, launch promotions, implement fixes, and conduct tests.

User-Friendly Search Engine: Coveo is described by users as an intuitive search engine that enables fast information retrieval from multiple sources. Many users highlight its easy implementation and use, as well as the excellent support provided by customer service.

Highly Configurable Search Experience: Users appreciate Coveo Relevance Cloud for its high configurability and flexibility in customizing the search experience for their users. They value the wide range of features and options available such as boosting, filtering, and personalization.

Cumbersome Setup and Configuration: Several users have found the setup and configuration process of the Coveo Relevance Cloud and Qubit to be time-consuming and cumbersome, suggesting the need for automation of certain steps.

High Learning Curve: Many reviewers have mentioned a steep learning curve for new developers and administrators when using Coveo Relevance Cloud and Qubit. This has resulted in additional manual effort required to promote configurations between environments.

Slow Indexing of Newly Added Items: Users have expressed frustration with the slow indexing of newly added items on their websites, as it took almost 6 hours for these items to appear in search results.

Users commonly recommend Coveo for its powerful enterprise search capabilities, easy integration, and ability to generate meaningful insights. The platform's strong search functionalities allow users to efficiently manage large search development, track extensive collections of elements, and organize content based on templates and folder structures. Coveo's user-friendly backend environment and ease of use make it a popular choice among users, enabling them to create different experiences for different audiences. Additionally, reviewers appreciate Coveo's relevance tuning, analytics, and machine learning capabilities which enhance the search experience.

Qubit is frequently recommended for its simplicity, lower costs, and the ability to achieve strategic goals with an in-house team. Users commend Qubit for being easy to implement and use, allowing them to quickly realize results. The platform's effectiveness in understanding customers' onsite behavior and leading them towards conversion is highly regarded. Users also appreciate Qubit's tailored support and testing tool capabilities which enable effective marketing campaign management.

Overall, users commonly recommend Coveo for its analysis and information generation engine as well as its custom connectors, making it particularly useful for medium and small productivity performance. On the other hand, Qubit is frequently recommended for its ability to respond quickly to consumer behavior and trends while driving incremental revenue through conversion rate testing.

Attribute Ratings


(1-4 of 4)
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Michael Cizmar | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
In general, search and findability isn't the first thing when thinking of Salesforce. We have used Coveo Relevancy Cloud to build Customer Community for clients and integrated it into Knowledge Center Support. The platform performs as expected giving the end-user highly relevant personalized content depending on where we decide to show the results. Internally, we have used it as a platform to build customized applications. The developer toolset is solid and ever-expanding allowing us, as an ISV, to focus on the core functionality of the product we are building instead of worrying about the back-end platform.
  • Content Connectors
  • Out of the box UI Integration into Salesforce
  • Developer Toolset
  • Debugging information about failures in connectors
Coveo Relevance Cloud is a great solution to implement into Salesforce to provide Knowledge-Centered Support, Enhancements to a Customer Community, to provide sales aids, or to complement your customized app in Salesforce.
  • Automatic Relevancy Tuning
  • Keyword Spotting
  • Recommendations
  • Improved Knowledge Article Utilization
  • Reduced MRT
Score 8 out of 10
Vetted Review
Verified User
Coveo is currently implemented within our company's ecosystem, which is a portal where employees can read about current company news, recent events, and access a number of tools provided for our day-to-day work. Many files are saved onto this portal, and employees can search within the portal to find what they need. This is where we use Coveo - they are our primary search engines within this portal. They help dig through our massive database of files.
  • Coveo is fast, search results come up quick (though it's not always great).
  • Not much complexity to run.
  • Coveo is implemented within our portal and doesn't require extra steps to use it.
  • Coveo does its job but is lacking.
  • The results displayed by Coveo are not always relevant.
  • The results displayed by Coveo are not sorted, nor is there an option to sort.
  • The results displayed by Coveo are not location-specific, so results not relevant to my area or country gets shown.
Coveo is well-suited for larger companies that have a huge amount of files sitting its databases. For a company of more than 100K employees, Coveo does a nice job of sifting through massive piles of data. For example, if I wanted to find something about 401K matches, I could type that into the Coveo search bar on our portal and it would give me all the files in our system about investing in 401K in our company. The results don't take too long to come up as well.
  • Quick to find things in a massive database when needed.
  • Results need to be more concise - sometimes we spend more time looking for the right file than if we were to just search amongst our own networks instead.
  • Coveo is not always the most useful but does its job when general information is needed.
Rondel Ward | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
We implemented Coveo facets and index capabilities for several web based applications that we built for our clients in Sitecore CMS. We primarily use this product to support search pages which can find and filter content in Sitecore and display results in a customized way.
This product is used by a few of our clients across widely different verticals. Our application developers use the product most heavily.
  • Searching a large set of documents is very fast
  • Support for faceted searching
  • Supports synonyms through an admin panel or via an external file
  • Out-of-box controls for rendering search, results, and faceting.
  • Customization allows for more flexible implementations
  • .NET hooks exist allowing code to be injected into its indexing process. This allows for more advanced taxonomy indexing (for example inspecting semantic information during indexing)
  • Items published via Sitecore are automatically indexed (within a minute or two of publish time)
  • Out-of-box support for ranking files attached to pages (PDFs, DOCs, etc) based on search term relevancy
  • Supports ranking certain file types above others (giving PDFs more weight than DOCs, etc)
  • Out-of-box support for crawling web pages from multiple sources. Each source can be configured with different crawl frequencies.
  • Coveo 7 introduces a JavaScript search interface in conjunction with a new REST API that you can use as an alternative to the out-of-the-box Coveo .NET search interfaces. This is also customizable and even supports templating engines like mustache and underscore.
  • They have a StackOverflow-like forum where you can get assistance from the community: .
  • It would be great if Coveo 6 allowed you to rebuild indexes from a certain subtree instead of needing to rebuild the entire tree to see changes. This functionality was added in Coveo 7 and is very useful.
  • In Coveo 6, integration with Sitecore is more difficult than one would expect. This integration is much improved in Coveo 7.
  • I have seen cases where an exception thrown when crawling a specific document will cause the indexing to stop completely. I believe this only happens in implementations using custom faceting but it could be handled more efficiently if the trouble document was skipped and the indexing could continue.
  • Relevancy ranking editor is good but not as powerful as GSA. GSA offers a self-learning scorer which automatically analyzes user behavior and the specific links that users click on for specific queries to fine tune relevance and scoring.
  • We've ran into issues on multiple clients with Sitecore items being indexed multiple times in Sitecore 7 and Coveo 7. The fix Coveo suggested was to upgrade our Sitecore version and Coveo but unfortunately this didn't resolve our issue. After months of testing we were finally able to resolve this by implementing our own CoveoItemCrawler to get around the issue (based on;jsessionid=3C1A2AE33540E0A0B8BB52BA3A64AF70).
  • Integration with RabbitMQ in Coveo 7 seems error prone. We often see the error "The AMQP operation was interrupted" and on occasion, need to restart the Coveo service to get this operating again. In some extreme cases, we have also had to restart the server because of issues when attempting to restart the Coveo service.
Coveo is well suited to crawling large collections of sitecore items and organizing content based off of templates and folder structures. Facets allow you to group related content regardless of their position in the tree which is a very useful feature for most search implementations. The price can be pretty expensive as in some cases, you may have to pay for each document which is indexed. The price/features tradeoff is probably the biggest decision to make.
  • Better user experience
  • Higher traffic on less organically found areas of the site
We still have many clients which have custom search implementations supported by Coveo which crawl their Sitecore instances. From that perspective, I'm very likely to use it again. One of the main drawbacks I have heard is that Coveo is relatively expensive. The size of your project budget may have a greater influence on your decision to use Coveo if the custom features are not must-haves for your organization.
Lauren Jones, PMP | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Coveo was used at my previous organization as its enterprise search platform and customer facing search. My program focus was on internal search, where we leveraged Coveo to index disparate data sources across the enterprise to allow users one central place to search for information. We were able to embed Coveo into multiple systems so the search experience was consistent across these applications.
  • Good library of connectors to enterprise repositories including MS SharePoint, Exchange, Confluence. OOTB using the Open Connector API administrators were fairly easily be able to index content repositories.
  • Good security integration with existing repositories.
  • UI changes were cumbersome and timely to make changes to based on business requirements and user feedback. We were not able to optimize in the UI due to the constraints.
  • Analytics in the version we had were very poor. UI was built in Silverlight with no exportable version to be able to perform further analysis of data. Many product suggestions around additional metrics needed.
  • We struggled around data ranking and relevance due to the amount of unstructured data that we were indexing. This caused user adoption issues. This service and guidance was something that we were never really able to get from Coveo with my time using the product. The relevance controls were very simplistic and did not give us much control.
Make sure you have a roadmap of systems that you plan to integrate with. Custom connectors should be factored in. Highly suggest reviewing their analytics and insights engine - this area of the product was very weak when we were using it.
  • Increase employee efficiency with one integrated search engine across the enterprise. This allowed employees to get to the right information faster as there was one central place to be able to search.
  • Better support services for our company. We were able to index support documentation from a variety of sources which allowed our support teams to be able to help our customers more efficiently.
This question is not applicable to me
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