Coveo Reviews

My main use case for Coveo was to index the search results on our search pages like insights, listings, articles, stories, and other content.

One specific example of how Coveo worked for one of our search pages is when we had an external database managed by another team. We used to import those database items into a Sitecore master database, and while those items were getting published, they would also get indexed in Coveo, allowing us to search for specific items using their item ID or listing name, which would then appear in the search results managed by Coveo.

I faced some challenges regarding the accuracy of the search results with Coveo. For instance, if we searched for properties, listings would appear based on the property names, but the search accuracy wasn't always perfect. Suggestions in Coveo, such as office spaces, would yield popular office options that were cost-effective.

Coveo positively impacted my organization because the majority of our users who visit our website primarily use the search pages, making it a major functionality of our site.

I definitely noticed an increase in user satisfaction and improved search accuracy as a result of using Coveo.

The best feature Coveo offers is that items imported into the master database of Sitecore get indexed in Coveo very quickly, probably under a minute, allowing those items to be visible on the search page promptly.

The speed of Coveo's indexing helped our business users in many ways, specifically by ensuring their business campaigns and client expectations weren't negatively impacted due to slow search results.

The integration of Coveo with Sitecore is very good, particularly regarding implementation, customization, widgets, maps, and facets.

I believe Coveo can be improved by integrating artificial intelligence features. For example, if I type 'office spaces' looking for cheap and average sizes, improving AI could provide better search results based on user search history.

I have been using Coveo for the last 3.9 years, and recently we have replaced Coveo search with a Sitecore search in our project.

Coveo has never experienced downtime or issues in my experience.

Coveo is definitely scalable and can handle large volumes of data and users.

I reached out to Coveo's customer support many times, and it was one of the best experiences I had with their support team. I would rate the customer support as a nine on a scale of one to ten.

We are currently using Sitecore search in place of Coveo, which we recently replaced.

I do not have metrics related to return on investment with Coveo currently.

I didn't work on the licensing part of Coveo because I was an employee and not the manager.

Coveo was the first option in my mind before making a choice.

The quick indexing into the search results is the best scenario I faced with Coveo. In terms of accuracy and reliability of output, I believe Coveo is probably the best in market scenarios. Coveo is deployed in my organization as software as a service and integrates with my code base directly. I am not sure about Coveo's governance and security regarding its AI capabilities. I would rate Coveo an eight on a scale of one to ten.

My main use case for Coveo is the development and implementation of Coveo search for a client project.

A specific example of how I used Coveo for search in that client project is that we generally implemented Coveo Headless to implement the search functionality to get the data and to use the powerful search capability of Coveo.

In addition to my main use case with Coveo, we utilize product-specific data and its metadata, and we use the enhanced search capability of Coveo.

Coveo has positively impacted my organization by improving the overall search experience, making content easier to find and more relevant to users, reducing the time spent searching for information, and helping users reach the right content more quickly. From a development perspective, Coveo Headless provides flexibility to build a customized search experience.

While I don't have access to organization-wide metrics, the main positive outcome I can share is an improved search experience for users, as we were able to deliver more relevant search results and make it easier for users to find content quickly.

Coveo offers powerful search capability as one of its best features.

What makes the search capability stand out for me is its powerful search capability, relevance tuning, a good headless framework for building a custom search experience, flexible integration with React and Next.js, and good analytics.

One of the standout features of Coveo is its AI-powered search relevance, which helps users find the right content quickly. I also appreciate Coveo Headless because it gives developers the flexibility to build a fully customized search experience with frameworks like React, Next.js, and other UI frameworks.

Regarding Coveo's AI capabilities, it provides strong governance and security capabilities suitable for enterprise environments, offering role-based access control, content source permissions, and secure integration with various systems, which helps ensure users only see content they are authorized to access.

In my experience, Coveo AI is generally accurate and reliable in delivering relevant search results, especially when it has access to quality content and is properly configured. Features such as relevance tuning, usage analytics, and machine learning help improve search results over time based on user behavior.

Coveo is a powerful platform, but there are a few areas where it could improve. The learning curve can be steep for new developers, especially when working with relevance tuning, query pipelines, and advanced configurations. Simplifying some of these concepts while providing a more guided setup experience would help teams get up to speed faster.

There are opportunities to improve the developer experience with Coveo, as the initial setup and understanding of concepts such as query pipelines, relevance tuning, and machine learning models can take time for new team members.

I have been using Coveo in my previous project for more than one year.

I gave Coveo a rating of nine because it provides powerful search capability, strong relevance tuning, and a flexible headless architecture that works well with modern frameworks such as React and Next.js, along with useful analytics and customization options that help deliver a better search experience. The reason I didn't give it a ten is that there is still a learning curve for new developers.

In my organization, Coveo is deployed as a cloud-based solution, leveraging Coveo cloud platform to power the enterprise search experience and integrate content from various sources.

I am not directly involved in the infrastructure side, so I am not certain which cloud provider is used for our Coveo deployment.

I would recommend Coveo to organizations that need a scalable enterprise search solution and want to deliver a personalized search experience across multiple content sources.

My advice to others looking into using Coveo is to spend time understanding Coveo's core concepts, such as relevance tuning, query pipelines, analytics, and content indexing, before starting implementation.

Coveo's main use case was to provide AI-powered search, especially for company documents that were available on almost all web applications, both public and internal, allowing employees to search their documents and customers to search their opportunities.

We were able to index Salesforce cases, case comments, and knowledge articles in Coveo, allowing us to integrate that particular search bar in the internal application where support agents can utilize it to search for cases and knowledge articles, thereby providing clear solutions to customers.

That was the main use case, especially pulling documents from different places and displaying them to people in a way that they can clearly get the results they are looking for.

Coveo positively impacted our organization by drastically reducing the time needed to provide solutions on the support case side, as agents no longer have to sift through all documents, resulting in decreased response time and reduced case volume since customers can verify the knowledge available before creating a case.

The case volume was reduced by about 25 to 30%.

From my experience, AI-powered search was the best feature Coveo had, along with its generative answering capability, which stood out as a good capability.

The generative answering capability works similarly to GenAI, allowing support agents or customers to type in their questions in the search bar and receive summarized results of knowledge documents without needing to open each document, thus saving time with clear steps on how-tos.

Coveo had many out-of-the-box connectors and generic API connectors that allow connections with other repositories or databases, which stood out to me.

Coveo's accuracy and reliability of output are commendable because whatever you ask, you get relevant results, which is crucial.

There are many things we faced when encountering issues, and I would say that several features were missing. For instance, when we create a support ticket, I believe they need to enhance it and then share back the results, which indicates it is an evolving product.

Those were aspects we wished we had, however, I do not have any additional thoughts on improvements at the moment.

Coveo's AI capabilities have a few risks, and I think there were instances where people faced some issues.

I don't have exact details on those security concerns, but they definitely relate to some internal bugs that need to be addressed.

That is all the improvements I think Coveo needs.

I have been using Coveo for the last six years, from 2020 to 2026, until the time I was working at FY.

Coveo is very stable in my experience without any issues relating to downtime or reliability.

Coveo's scalability is good; it can handle increased loads or more users easily.

Customer support was satisfactory in my experience. I would give customer support an eight out of ten.

I previously worked on a different solution at another company.

We do not install anything as Coveo itself is a cloud platform.

I think the pricing was definitely on the higher side, and the professional services were also quite costly.

I'm sure the team evaluated other options before choosing Coveo, but I am not aware of which ones specifically.

I would rate Coveo an eight out of ten.

I chose 8 out of 10 because of its good capabilities and ease of connection.

I'm not aware of whether we purchased Coveo through a cloud marketplace like AWS Marketplace or through a direct purchase since it is an organization-wide decision.

Definitely, I would advise that there are not many options available, and Coveo is straightforward to use without requiring much time to install.

My overall rating for this review is eight out of ten.

My main use case for Coveo is the search page. I use Coveo for my search page by creating sources in Coveo cloud organization and then providing it with data from our website and then displaying that search result on the search page.

Coveo has impacted my organization positively, as the search has been very good; the search terms and fuzzy search have all become very effective. I don't have particular data regarding specific outcomes or metrics at this time.

One thing that stands out to me about using Coveo for this process is that, as it is a cloud platform, it is very easy to integrate with your website as compared to other search options available.

The best features Coveo offers are the machine learning models and Coveo API. What I like about the machine learning models is that they are very easy to integrate; you just need to create some settings in the cloud organization, and then when you start using the search, it automatically learns from those searches and provides auto-suggestion in the search box.

Regarding Coveo's AI capabilities, I think its governance and security are good; as it is a cloud-based platform, the security is already very good as it uses SSO or login features. The accuracy and reliability of output from Coveo comes when the machine learning models learn from the searches that are done on your live site, so it becomes better over time, and I think those are reliable.

In terms of integration capabilities with other platforms or tools I use, I think it is pretty good; integration is straightforward. I have done it with Sitecore as well, and it provides out-of-the-box packages to integrate it, so it is very easy. I would describe the user interface and overall user experience with Coveo as very good.

I think Coveo can be improved by providing a sandbox for developers, even if you are not part of an organization, and the API configurations can be made a bit easier because there are a lot of options right now which confuses users. If I had to rate Coveo's flexibility regarding customization for my specific needs, I think it would be six out of ten.

I have been using Coveo for two years.

I think Coveo is stable.

I think Coveo's scalability is good.

The customer support for Coveo is very good.

I have used Solr before Coveo, and we switched to Coveo to utilize its AI capabilities.

Coveo is deployed in my organization as a SaaS-based software, so you don't need to deploy it; it comes by default on a cloud and it basically will provide you an organization so you can log in and then work with Coveo.

I can't say I have seen a return on investment with Coveo; I don't have these metrics.

I was not part of the pricing and licensing experience as it is handled by my organization, so I'm not aware.

Before choosing Coveo, we did not evaluate other options.

I would rate Coveo an eight out of ten. I chose eight out of ten because, as this is a cloud-based platform, there are some limitations, but overall it's a good tool.

Coveo already has a very good e-learning platform with multiple courses to learn and certifications to achieve, so it is very good in terms of the learning curve for new users or developers working with it. The documentation and resources available for Coveo are helpful, and even if you are a new learner, you can go through the documentation and it covers everything related to Coveo.

As far as I have used it, Coveo's performance and speed with large data sets is pretty good. I would advise others looking into using Coveo that it's a great product; just start looking into the documentation and utilize it well so your search page becomes better.