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    Coveo AI-Relevance Platform: Enterprise AI Search and Answers

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    Sold by: Coveo 
    Deployed on AWS
    Coveo unifies your enterprise content into a single permission-aware AI index, then delivers search, recommendations and grounded generative answers across commerce, service, website and workplace experiences, and to the agents you build on AWS.
    4.3

    Overview

    Coveo is the AI-relevance platform for enterprises that need their best content to surface in every experience and every answer. It connects to the systems you already run, builds one AI-enriched, permission-aware index across them, and serves relevance back through UI libraries, APIs and agentic retrieval tools, without migrating or duplicating your data.

    ONE INDEX, EVERY EXPERIENCE

    Native and generic connectors ingest content from 100+ of sources, including Salesforce, ServiceNow, SAP, SharePoint, Adobe, Confluence, Amazon S3, and any REST or GraphQL endpoint. Coveo imports each source's own permission model when it crawls, using an early-binding approach, so items a user is not entitled to are filtered out before the query runs. That single index then powers commerce, customer service, website and workplace experiences.

    ###RELEVANCE THAT LEARNS Coveo machine learning models, including Automatic Relevance Tuning, Semantic Encoder, Coveo Passage Retrieval and Relevance Generative Answering, rank on the intent behind each query and on behavioral signals across sessions rather than on keyword matching. Query pipelines let business teams apply merchandising rules, boosting and filtering without engineering work.

    GENERATIVE AND AGENTIC AI, GROUNDED ON YOUR CONTENT

    The Passage Retrieval API returns ranked, citable passages for retrieval-augmented generation. Relevance Generative Answering produces answers with references back to source content. On AWS, Coveo grounds agents built with Amazon Bedrock AgentCore and Amazon Bedrock Agents, and is available to Amazon Quick Suite and Amazon Connect through the Coveo-hosted Model Context Protocol (MCP) Server. Coveo holds the AWS Generative AI Competency, participates in AWS ISV Accelerate, and was a launch partner for the AWS Marketplace AI Agents and Tools category.

    SHIP FAST, THEN TUNE

    Start with the Hosted Search Page Builder, or build with the Atomic, Headless and Quantic UI libraries, or go fully custom on the Search API. Coveo analytics and dashboards report query volume, click-through, content gaps and generative answer quality, so teams can see what relevance is worth and where to improve it.

    ENTERPRISE SECURITY AND SCALE

    ISO/IEC 27001, 27017, 27018 and 27701 certified. SOC 2 Type II examined annually. HIPAA-compliant deployment option available. Encryption in transit and at rest, single sign-on, and selectable data residency across AWS regions in North America, Europe and Australia.

    Coveo serves more than 700 brands and is a Leader in the 2026 Gartner Magic Quadrant for Search and Product Discovery. Purchasing through AWS Marketplace consolidates Coveo on your AWS invoice. Contact Coveo for a private offer sized to your query volume.

    Highlights

    • One permission-aware index across your enterprise: Connect Salesforce, ServiceNow, SAP, SharePoint, Confluence, Adobe, Amazon S3 and 100+ other sources without migrating data. Coveo imports each source's native permissions at crawl time, so every user sees only what they are entitled to see, whether the answer arrives as a search result, a recommendation, a generated answer or an agent response.
    • Relevance that improves with every interaction: Coveo machine learning ranks on user intent and behavioral signals rather than keyword matching, and query pipelines let business teams apply merchandising and boosting rules without engineering work. Built-in analytics report click-through, content gaps and generative answer quality, so teams can measure what relevance is worth and see exactly where to tune it.
    • Grounding for the AI you build on AWS: the Passage Retrieval API returns ranked, citable passages and Relevance Generative Answering returns answers with references, while the Coveo-hosted MCP Server exposes the same index to Amazon Bedrock AgentCore, Amazon Bedrock Agents, Amazon Quick Suite and Amazon Connect. Coveo holds the AWS Generative AI Competency and was a launch partner for the AWS Marketplace AI Agents and Tools category.

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    Pricing

    Coveo AI-Relevance Platform: Enterprise AI Search and Answers

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    36-month contract (2)

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    Dimension
    Description
    Cost/36 months
    Enterprise
    100K Query per month (QPM)/Contact Coveo for details
    $0.01
    Pro
    100K Query per month (QPM)/Contact Coveo for details
    $0.01

    AI Insights

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    Dimensions summary

    This listing offers two contract options: Enterprise and Pro. Both are priced by usage, with each unit covering 100,000 queries per month (QPM). You buy under an annual or multi-year commitment. To scale, you add more units as your query volume grows. Final pricing and unit quantities are set with Coveo directly, so you contact them for details. The two options differ in packaging level, letting you match the plan to your needs. Generative AI answering and other capabilities are available as add-ons on top of your base contract.

    Top-of-mind questions for buyers

    Each unit covers 100,000 queries per month (QPM). Standard search queries count toward this pool. Generative Answering queries count as Generative Queries per Month, and Passage Retrieval API calls count as Passage Queries per Month. These add-on query types are metered separately from your base search units.
    You add more units to cover the added query volume. Each unit you add covers another 100,000 queries per month. Coveo sets the final unit quantities with you directly, so you contact them to adjust volume as your needs change.
    Generative AI features are add-ons on top of your base contract. Relevance Generative Answering meters Generative Queries per Month, and the Passage Retrieval API meters Passage Queries per Month. These charges apply on top of your base search units, so budget for them separately.
    coveo.com+1
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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    Ticket based https://connect.coveo.com/s/  1.866.266.1583

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Accolades

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    Top
    10
    In Research
    Top
    10
    In Content Management, eCommerce, Collaboration & Productivity
    Top
    100
    In Natural Language Processing

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    2 reviews
    Insufficient data
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    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Multi-Source Content Integration
    Native and generic connectors ingest content from 100+ sources including Salesforce, ServiceNow, SAP, SharePoint, Adobe, Confluence, Amazon S3, and REST or GraphQL endpoints without requiring data migration or duplication.
    Permission-Aware Indexing
    Early-binding permission model approach imports each source's native access controls at crawl time, filtering unauthorized content before query execution to ensure users see only entitled items.
    Machine Learning-Based Relevance Ranking
    Machine learning models including Automatic Relevance Tuning, Semantic Encoder, Coveo Passage Retrieval and Relevance Generative Answering rank results on user intent and behavioral signals across sessions rather than keyword matching.
    Retrieval-Augmented Generation Support
    Passage Retrieval API returns ranked, citable passages for RAG implementations, and Relevance Generative Answering produces answers with source references; Coveo-hosted Model Context Protocol Server integrates with Amazon Bedrock AgentCore, Amazon Bedrock Agents, Amazon Quick Suite and Amazon Connect.
    Enterprise Security Compliance
    ISO/IEC 27001, 27017, 27018 and 27701 certified with annual SOC 2 Type II examination, HIPAA-compliant deployment option, encryption in transit and at rest, single sign-on support, and selectable data residency across AWS regions in North America, Europe and Australia.
    Natural Language Query Processing
    API capability to process queries containing free-form natural language to understand user intent and return relevant results without requiring extensive language rules setup
    Parallel Vector and Keyword Search
    Dual processing of vector and keyword search results in parallel at scale within a single API using the same index to eliminate no-result pages
    Real-time AI Learning
    Continuous automatic learning from historical data and real-time events as signals to power AI algorithms that adapt to create optimized user experiences
    Dynamic Re-Ranking Functionality
    Real-time merchandising capability enabling dynamic re-ranking of search results through a centralized user interface for business users
    Multi-region Global Hosting
    Expanded global hosting options for distributed deployment and content delivery across multiple geographic regions
    Natural Language Processing Interface
    Intuitive search and chat interface enabling users to access, locate, and retrieve information across enterprise and external systems through natural language queries.
    Retrieval and Ranking System
    Ranked list of results against all relevant enterprise and external information systems with complete data lineage and source attribution.
    Generative AI Response Generation
    AI-inferred results summary automatically presented and rendered in relevant user interface from underlying source applications.
    Model-Agnostic Architecture
    Interoperable architecture compatible with major enterprise data stores and applications including Oracle ERP, Salesforce, SAP, ServiceNow, Databricks, Snowflake, Palantir, Workday, and Microsoft Dynamics 365.
    Enterprise Security and Access Controls
    Enterprise-grade data security with strict privacy controls and access management adhering to deployment requirements.

    Contract

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    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

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    4.3
    136 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    60%
    33%
    5%
    0%
    2%
    3 AWS reviews
    |
    133 external reviews
    External reviews are from G2  and PeerSpot .
    reviewer2904975

    Search indexing has accelerated campaign launches and delivers fast, accurate content discovery

    Reviewed on Oct 01, 2026
    Review provided by PeerSpot

    What is our primary use case?

    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.

    How has it helped my organization?

    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.

    What is most valuable?

    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.

    What needs improvement?

    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.

    For how long have I used the solution?

    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.

    What do I think about the stability of the solution?

    Coveo has never experienced downtime or issues in my experience.

    What do I think about the scalability of the solution?

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

    How are customer service and support?

    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.

    Which solution did I use previously and why did I switch?

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

    What was our ROI?

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

    What's my experience with pricing, setup cost, and licensing?

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

    Which other solutions did I evaluate?

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

    What other advice do I have?

    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.

    reviewer2903370

    Search insights have reduced no-result queries and guide visitors quickly to relevant content

    Reviewed on Sep 28, 2026
    Review from a verified AWS customer

    What is our primary use case?

    My main use case for Coveo is optimizing UX on the site, specifically search results and pointing people to what we think they need and analyzing web traffic.

    A quick specific example of how I use Coveo to optimize search results or analyze web traffic is that people often search for things but don't spell them correctly, and they might search for a word using a foreign term for the product, disease, or treatment. We try to reconcile those misspellings to what it's clear that they're looking for and point them to the right page.

    We use the thesaurus a lot of the time, and we also do regular web traffic reports, whether it is on-site search or external searches.

    How has it helped my organization?

    Coveo has positively impacted my organization by cutting down the number of no result searches from something like 15% to about 5%, which is huge, saving calls to call center people and probably preventing people from seeking out products from our competitors, so we get people to pages that they want more quickly and more effectively.

    I measure the reduction in no result searches through regular reports where we can see what searches ended up in no results, and we also do regular reports on what searches are made. Most searches are successful and they get to some kind of page, hopefully the correct one, but when we see that the number of no results is cut by two-thirds, that's a great reason to use the tool and keep using the tool.

    What is most valuable?

    In my opinion, the best features Coveo offers are that it's quick, it's easy to navigate, and if you have something you want to know, Coveo is very helpful in helping you find out how to get the information that you need and sort the information that you need.

    Of those features, the main thing I find myself appreciating the most in my day-to-day work is being able to find what I need without spending a huge amount of time. The speed and easy navigation are important; there are other tools that do the same thing, but finding what I need quickly really matters.

    What needs improvement?

    I can't think of anything for how Coveo can be improved or anything that frustrates me or that I wish worked better.

    For how long have I used the solution?

    I have been using Coveo for four years.

    What do I think about the stability of the solution?

    In my experience, Coveo is stable.

    What do I think about the scalability of the solution?

    Coveo's scalability is very good; we have an enterprise website, and it handles what we throw at it very well.

    How are customer service and support?

    Coveo's customer support is good.

    What was our ROI?

    I have seen a return on investment with fewer employees needed.

    What's my experience with pricing, setup cost, and licensing?

    I purchased Coveo through the AWS marketplace.

    My experience with pricing, setup cost, and licensing was fine; the prices were competitive and I was happy with everything.

    What other advice do I have?

    I would rate Coveo overall a 10 out of 10.

    I choose a 10 out of 10 because it is easy to use, can handle large data sets very quickly and effectively, and it is easy to learn how to do new things.

    Regarding Coveo's AI capabilities, I have not used Coveo AI, but I think it's solid.

    Coveo's AI accuracy and reliability of output have met my expectations.

    My advice to others looking into using Coveo is to talk to Coveo itself; the people there are very helpful.

    My overall review rating for Coveo is 10.

    Which deployment model are you using for this solution?

    Hybrid Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)
    Sanket Phating

    Improved relevance has transformed content discovery and gives us precise control over user search

    Reviewed on Sep 28, 2026
    Review provided by PeerSpot

    What is our primary use case?

    Coveo's main use case revolves around content indexing and search integration, primarily when working with Sitecore as a CMS implementation.

    In our Sitecore CMS implementation, we have very large content volumes, and Coveo helped us significantly with relevance through the use of indexing, query pipelines, and security features. Relevance was the most valuable feature for us. We were able to determine what content was shown to users and which was not, so Coveo provided substantial value from a relevance perspective.

    How has it helped my organization?

    From a business perspective, Coveo's biggest value is having more control over how users discover content, including relevance, ranking, personalization, and analytics, which can help improve the search experience without requiring a developer to change application code for every small adjustment. The exact value obviously depends on how well the organization configures and uses those capabilities.

    Before moving to Coveo, we had metrics of user clicks around two million, but after we went live with Coveo, user clicks and all view analytics jumped up over 3.5 million, which was a significant upgrade after implementing Coveo.

    What is most valuable?

    In my view, the best feature that Coveo offers is relevance, which is one of the strongest areas. You have more control than you would typically get with a basic search implementation, particularly through query pipelines and ranking configuration. The important thing is that good relevance still requires proper configuration and understanding of your content, so I would not expect the platform to solve every relevance problem automatically.

    I find query pipelines particularly useful because they give you a way to influence search behavior based on the context of the query without having to pull that logic into your application. For example, you can apply different ranking on query behavior depending on the situation, which provides a good separation between the application and search configuration.

    Recently, I have been exposed to working with Coveo Atomic while working on the headless Sitecore implementation, and I appreciate the Atomic library because it provides reusable search components, so you don't have to build every part of the search interface from scratch. It makes the front-end integration faster while still allowing the developer to customize the experience when needed.

    What needs improvement?

    The main area I would improve is the learning curve because there are many concepts and configuration options, and understanding how indexing, query pipelines, security, and all those pieces work together requires experience. Coveo's onboarding experience could be simpler, especially for developers using the platform for the first time, and I believe that improvement on the documentation is also needed because while Coveo has extensive documentation, it is sometimes difficult to find exactly what you need.

    As a developer, when trying to find something regarding how to do indexing, I have to read the documentation, but if there were screenshots showing how it can be done, it would make a developer's life simpler. Additionally, including code examples would greatly enhance the experience for developers.

    For how long have I used the solution?

    I have been using Coveo mainly in enterprise search implementation, particularly in Sitecore environments, so I have been working with Coveo for the last five to six years.

    What do I think about the scalability of the solution?

    From an enterprise perspective, scalability is one reason we consider a platform Coveo because we don't have to build and maintain the underlying search infrastructure ourselves, and the platform is designed for large content environments. My direct experience is more focused on implementation and integration, but I haven't seen scalability become a major limitation.

    What other advice do I have?

    I recommend starting with search requirements rather than starting with product features. Understand your content sources, security model, and relevance.

    So far, I haven't touched Coveo's AI-powered solutions, so I may not be able to comment on that because my experience is mostly with integrating Coveo, but not with the AI-powered solution models. I haven't used those AI features much, so I cannot provide insight on the accuracy and reliability of output.

    I would rate Coveo an eight out of ten. I choose this rating because the platform is powerful, has strong relevance, and enterprise capabilities, but I deduct a couple of points mainly due to the learning curve and some areas that can take time to understand when implementing Coveo for the first time.

    Raghvendra Maheshwari

    Smart search has delivered accurate web results and now improves user journeys with AI suggestions

    Reviewed on Sep 27, 2026
    Review provided by PeerSpot

    What is our primary use case?

    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.

    How has it helped my organization?

    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.

    What is most valuable?

    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.

    What needs improvement?

    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.

    For how long have I used the solution?

    I have been using Coveo for two years.

    What do I think about the stability of the solution?

    I think Coveo is stable.

    What do I think about the scalability of the solution?

    I think Coveo's scalability is good.

    How are customer service and support?

    The customer support for Coveo is very good.

    Which solution did I use previously and why did I switch?

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

    How was the initial setup?

    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.

    What was our ROI?

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

    What's my experience with pricing, setup cost, and licensing?

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

    Which other solutions did I evaluate?

    Before choosing Coveo, we did not evaluate other options.

    What other advice do I have?

    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.

    BA4

    Data retrieval has become lightning fast and now personalizes content for medical specialists

    Reviewed on Sep 27, 2026
    Review provided by PeerSpot

    What is our primary use case?

    Our main use case for Coveo is to retrieve data efficiently. Before using Coveo, we stored this data in Salesforce itself, which took longer. We migrated our database to Coveo.

    A specific example of how we use Coveo to retrieve and store data is related to our website, which functions as a doctor's website. Previously, we stored all data related to our doctors' content in Salesforce directly. When a doctor searches for it on our website or opens our record page, content pages, or content landing pages, content loading time took around 300 milliseconds. While not a major difference, in terms of user experience, it matters. After migrating to Coveo, it took less than 10 milliseconds to load all this data. This is our main use case, and we also have other use cases, such as content recommendation to our doctors based on trending content and personalized content.

    Regarding the content recommendation use case, Coveo helps us personalize content for doctors with an ML-related feature. We send every detail of the doctor's viewing of pages to Coveo directly with the help of Google Analytics. First, we send the data from Salesforce to GA once a doctor views any particular content, and GA sends all this data to Coveo to train our ML models. With the help of those ML models, we see what the trending content is currently. Our doctors are specialized in 12 to 13 different specialties. Based on their specialties, we recommend content directly on the dashboard pages and on the content detail pages.

    What is most valuable?

    The best features Coveo offers include content recommendation, which is one of the best features. Additionally, the retrieval of data takes less time. It has moved from 300 milliseconds from our Salesforce data retrieval to less than 10 milliseconds in our Coveo retrieval. This is one of the other best features. The best thing is that we do not need to make an API callout for every communication between Salesforce and Coveo. I believe we are using headless communication, which is considerably faster. These are the best features I have observed.

    Coveo has positively impacted my organization primarily by reducing the waiting time from 300 milliseconds to 10 milliseconds. Coveo also provides us very high data storage. We store our Salesforce records directly into Coveo as well. It syncs, and it takes around one hour to have a sync between Salesforce and Coveo.

    Besides the improved speed and data storage, I have noticed increased productivity. Productivity has increased. The improvement is good, but I do not have the exact metrics of those details.

    What needs improvement?

    Coveo almost fulfills all my use cases, so I do not have any other recommendations or suggestions for Coveo.

    One other suggestion is that as of now, the sync between our Salesforce and Coveo is one hour. I know we can make it real-time also. I do not know much about it, but I think it costs higher if we make it real-time. I would say that could be one of the improved features. It can give us more satisfaction if it is a real-time sync.

    For how long have I used the solution?

    I have been using Coveo for a year.

    How are customer service and support?

    Support is very good with Coveo.

    What other advice do I have?

    It was great working with a product such as Coveo and integrating that product with our Salesforce. The experience has been good. I would rate this review a 9.

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