Sold by: Algolia
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AI-powered Discovery is reinvented as the right content finds you to inform, enrich and surprise.
4.5
Overview
Algolia is a world leading true end-to-end native AI-First Search and Discovery Platform with an API foundation. Historical data and real-time events are processed as crucial signals to power the AI algorithms that learn automatically and continuously to create the most engaging end-user experience.
Algolia's API can handle any query containing specific keywords or using free-form natural language to understand the true intent and return the most relevant and accurate response. This results in improved click and conversion rates, more time spent on site, reduced search abandonment rate, and less time spent in customer support. Additionally, there is no longer the need for extensive language rules set up, money wasted in chasing expensive AI skills, or opportunities lost to promote and sell the entire product and content catalog.
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*Pricing listed is for US and EMEA only. Published pricing illustrates the equivalent of monthly search charges when purchased as part of a 1-year agreement.
For custom pricing, private offers, &/or custom EULA please email: marketplacehelp@algolia.com .
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ALGOLIA OFFERING(s) GROW | The Algolia Grow plan is intended for projects in production, and data which is being used by end users. Within Algolia Grow, you'll have access to Algolia's core Search & Discovery features to release a best-in-class experience, with room to grow.
PREMIUM | Premium includes AI features, expanded global hosting options, Merchandising Studio and access to professional services and add-ons. With the Merchandising Studio, business users can quickly create and modify merchandising strategies, apply running one-off updates, and let AI do some heavy lifting by enabling our powerful Dynamic Re-Ranking functionality -- all in real-time from a user-friendly, centralized environment. Contact our team to learn more about which plan is right for you.
ELEVATE | Elevate includes Algolia NeuralSearch. It's the only search engine in the world that processes both vector and keyword results in parallel and at scale in a single API using the same index. AI-powered search combined with keywords means eliminating no-result pages and getting even more relevant results from across your catalog. Better results drive higher click-throughs and conversions, while reclaiming time otherwise wasted in setting up language rules, synonyms, or esoteric ontologies. Reach out to us to learn more and discuss custom pricing options.
Highlights
- Algolia has been recognized as a Leader in the 2024 Gartner Magic Quadrant for Search and Product Discovery. Algolias AI Search was positioned furthest on the Completeness of Vision axis and Ability to Execute. https://www.algolia.com/lp/gartner-mq-2024/
- Try Algolia 90-day Premium Free Trial on AWS Marketplace.
- Customer Stories https://resources.algolia.com/customer-stories
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Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
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Dimension | Description | Cost/12 months |
|---|---|---|
Premium | Starting Price. AI features, Merchandising Studio, pro services/add-on options. | $10,000.00 |
Elevate | Starting Price. NeuralSearch with vector & keyword results sharing a single index/ API | $50,000.00 |
Dimension | Description | Cost/unit |
|---|---|---|
addunit_premium | Additional Units Premium | $1.50 |
Additional_Units_Elevate | Additional Units Elevate: priced on search requests. | $1.95 |
Dimensions summary
This listing offers two starting-price plans and two matching usage add-ons. The Premium plan includes AI features, Merchandising Studio, and professional service options. The Elevate plan includes NeuralSearch, which blends vector and keyword results in a single index and API. Each plan carries its own additional-units dimension. Additional Units Premium extends the Premium plan, while Additional Units Elevate is priced on search requests. You start with a base plan, then add units as your search request volume grows. Pricing scales with usage on top of the plan you select.
Top-of-mind questions for buyers
A search request is a group of one or more search operations sent in a single exchange. In autocomplete or search-as-you-type setups, each keystroke can trigger a new request. A single search applied across multiple indices counts as one request, not several, which simplifies billing for federated search.
Search request volume drives the additional-units charges. Each plan includes a base amount of requests. Once you pass that included amount, the matching additional-units dimension applies. Additional Units Elevate is priced on search requests. Record count and crawl volume can also affect cost separately.
Premium includes AI features, Merchandising Studio, and professional service add-on options. Elevate adds NeuralSearch, which combines vector and keyword results sharing a single index and API. Elevate also brings features such as AI Collections and Smart Groups. You pick the plan matching your feature needs, then scale with additional units.
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Algolia Partner Support | marketplacehelp@algolia.com |
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By Algolia
By Zoovu
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
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AI generated from product descriptions
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
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.
AI-Powered Search and Relevance
Vector, visual, knowledge graph, and generative relevance models combined with conversational AI for product discovery with full merchandiser control over ranking decisions.
Personalization and Recommendations Engine
1:1 product predictions, algorithmic recommendations, and omnichannel recommendations across onsite and lifecycle email channels served at enterprise scale.
Guided Buying and Configuration
High-accuracy attribute mapping, decisioning, and configuration capabilities for complex configurable products and B2B scenarios.
Conversational AI Shopping Assistant
Zoe, an AI shopping assistant available across product detail pages, search, and product listing pages for conversational product discovery.
Unified Data Platform and Analytics
Single data model, merchandising rules layer, and analytics platform supporting both merchandiser and seller workflows with data enrichment capabilities.
Standard contract
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Customer reviews
Arinjay Gangwar
Search has delivered instant personalized results and has increased engagement across content
Reviewed on Sep 24, 2026
Review from a verified AWS customer
What is our primary use case?
Algolia serves as our main search capability integrated with our e-commerce platform. We use Algolia for searching the product catalog and blog articles on our website.
A specific example of how Algolia helps our users is that before Algolia, the search algorithm took a slight delay of around one to two seconds to produce results. After implementing Algolia, because it is very fast, the results come back in under one second, which allows the user journey to be more relaxed and gets users what they want.
The content used on the website is published by a CMS. We have integrated Algolia with the CMS so that as soon as any content changes get published, the Algolia index gets refreshed, and Algolia can serve the latest results from the search, providing users with the latest updates.
What is most valuable?
The best feature that Algolia offers is its capability of auto-updating an index via triggering a webhook. This feature stands out because we do not need to manually go to the Algolia dashboard to update the index; it gets automatically updated as soon as any new content changes get published from the CMS.
Setting up those webhooks and getting the auto-updating index working with our CMS is not difficult because Algolia has very good documentation, which helped us integrate the webhooks.
Algolia has impacted our organization positively by boosting the overall user engagement trends that we can see on the analytics. Users are now getting more personalized results from the search, whereas earlier they used to get random results from the search, so the impact has been very positive on our website.
In terms of specific metrics that show how user engagement improved, the average time spent on web pages per user was around one to two seconds earlier. After using Algolia, users started getting more personalized recommendations from their search, and the average time spent improved drastically to around five seconds. This was a very good metric, and after that, the conversion rate also improved by approximately twenty percent.
What needs improvement?
One improvement that I can see for Algolia is that they can slightly decrease their initial pricing. It is mainly set up for mostly enterprise customers, and small clients tend to stay away from Algolia and prefer building their own search solutions.
Everything was flawless except for the pricing, so I do not wish to add more about the needed improvements.
For how long have I used the solution?
I have been using Algolia for the past two years.
What do I think about the stability of the solution?
Concerning the accuracy and reliability of output of Algolia's AI capabilities, it initially was not that great, but now with improvements made, it is getting better.
What other advice do I have?
Regarding Algolia's AI capabilities, I think its governance and security are on point for my use case, and I do not see any issues with it.
We are using Algolia as a SaaS and have not deployed it otherwise.
No improvements come to mind for Algolia that I have not already mentioned.
My advice for others looking into using Algolia is that they should do a proper POC. By doing the POC, they can get the most out of the platform and determine if it suits their needs or not.
I rate this product a nine out of ten.
Sam G.
Simple, Performant Search with Low Costs and Easy Headless CMS Integration
Reviewed on Sep 19, 2026
Review provided by G2
What do you like best about the product?
It makes building a performant search experience so much easier. At low volumes, the cost is also super low. Removing the overhead of handling fragile search infrastructure is great for projects that see variable traffic, or are often idle. Their docs are also pretty good, and I've found it super easy to integrate with Sanity CMS. The data model suits a headless CMS nicely. They also have some pre-built components for building the actual search interface on your site.
What do you dislike about the product?
The admin interface is occasionally clunky.
What problems is the product solving and how is that benefiting you?
Quickly launching a simple (yet rich) search experience, allowing pages on sites to be more discoverable.
Marketing and Advertising
Very Easy to Use with a Quick User Ramp-Up
Reviewed on Jul 21, 2026
Review provided by G2
What do you like best about the product?
Very easy to use. Quick ramp up for users as well.
What do you dislike about the product?
Certain needs for our usecase required customization
What problems is the product solving and how is that benefiting you?
We have many partners and content throughout our properties. Algolia brings everything together making it easier for our users to find what they are looking for without scrolling and reading.
Rahul K.
Lightning-Fast, Highly Accurate Search with Powerful Customization
Reviewed on Jun 05, 2026
Review provided by G2
What do you like best about the product?
What I like most about Algolia is how fast and accurate the search experience is. It returns relevant results almost instantly, which noticeably improves the overall user experience and makes it much easier to find information quickly. I also appreciate how customizable the search functionality can be, since it allows businesses to tailor results and filters to their specific needs.
What do you dislike about the product?
What I dislike about Algolia is that it can get expensive as usage scales, especially for growing businesses dealing with large datasets or high search volumes. It also takes some technical setup and ongoing configuration to achieve the best search relevance, which can be difficult for non-technical users to manage.
What problems is the product solving and how is that benefiting you?
Algolia addresses the problem of slow, inaccurate, or hard-to-use search functionality. It helps users quickly find the information, products, or content they’re looking for by delivering fast, relevant search results. This boosts efficiency, saves time, and leads to a better overall user experience. From my perspective, it reduces the frustration of searching through large volumes of content and makes it easier to access the right information whenever it’s needed.
Saurabh J.
Great Search Experience for E-commerce Websites
Reviewed on Jun 03, 2026
Review provided by G2
What do you like best about the product?
As a frontend developer, I like that Algolia is easy to integrate and highly customizable. The search performance is excellent, and features like autocomplete, instant search, and product filtering help improve the user experience significantly.
What do you dislike about the product?
I haven’t faced any major issues with Algolia, but the pricing may be a concern for growing businesses, and some advanced features have a learning curve.
What problems is the product solving and how is that benefiting you?
Before using Algolia, it was harder for users to find the right products quickly. Algolia improves search speed and accuracy, making navigation easier and creating a better shopping experience for customers.