Latest news with #Algolia
Forbes
13-07-2025
- Business
- Forbes
Algolia Tops Google In Product Search — Windsurf May Not Help Much
Gartner rates privately-held Algolia ahead of Google in the $56 billion market for search and product discovery. With Alphabet stock down this year, investors should be worried. GERMANY - 2024/09/21: In this photo illustration, a mobile phone with the website of ai search ... More engine company Algolia Inc. is seen in front of business logo. (Photo Illustration by Timon Schneider/SOPA Images/LightRocket via Getty Images) SOPA Images/LightRocket via Getty Images Key Facts The market for digital commerce search reached $56.5 billion in 2024 and is forecast to grow at a 12.6% compound annual rate to $185.7 billion in 2033, reports Data Horizon Research . Algolia's customer base has grown at a 21% average annual rate to 18,000, according to my July 10 interview with Algolia CEO Bernadette Nixon. Google — shares of which have lost 5% of their value in 2025 — is confident in the strength of its product discovery search service, according to a Google company release. Gartner rates privately-held San Francisco-based Algolia ahead of Google according to an Algolia company release. Google's spent $2.4 billion to license Windsurf AI coding technology, according to CNBC . That may not be enough for Google to surpass Algolia. Google shares have lost value in 2025. That's because the search giant — which developed the core transformer concept underlying generative AI, according to my book, Brain Rush — is struggling to catch up with ChatGPT when it comes to commercializing its idea. Is the drop in Google stock a buying opportunity. The answer depends on whether Google can keep its search business relevant. "The market will need to see fundamental evidence that Google search is indeed going to be more durable than currently appreciated," Morgan Stanley analyst Brian Nowak wrote in a report featured by Investor's Business Daily . If rivals such as ChatGPT, Perplexity, and Meta AI better deploy generative AI to cash in on advertising and improved e-commerce and travel verticals, Google's stock could keep dropping, noted Nowak. For Google bulls, I have bad news: Algolia is clearly ahead of Google in those two verticals where search and product discovery services are critical. If you have ever searched for a product on an e-commerce, you have direct experience with . While this market seems like a natural for Google, In 2018, I was surprised to learn Google had abandoned the business of helping consumers search through a company's online product catalog, noted my October 2018 Forbes post. Google was good at bringing users to a website but once there, customers relied on the websites' own search functions to find products. Some companies "build their own engines; others use open-source software, such as Elasticsearch,' the Economist reported. At the time, Algolia — founded in Paris in 2012 — was rapidly taking a piece of that pie by supplying a service that "hunts the client's website and swiftly offers consumers relevant results," added the Economist . Since then Google has entered this market and this year was deemed a leader in Gartner's Magic Quadrant for vision and ability to execute. However, within that elite group of leaders, Algolia was the leader of the pack. Read on for why this market is significant and why I do not think Google is doing enough to overtake Algolia. I requested comment from Google and will update this post if I receive a reply. While analysts use many ways to describe the digital commerce search industry, they agree the industry is growing fast and will become far larger in the next decade. The industry's goal is to understand consumers' needs and recommend the products that best satisfy those needs. Since 2018, the most significant development propelling growth has been the use of AI to enhance consumer experiences, increase sales, and boost engagement, according to SuperAGI . AI-driven recommendation engines can boost customer loyalty, average order size and the lifetime value of a customer. For example, 71% of consumers are more likely to return to a website offering personalized experiences. Moreover, such systems suggest complementary products — thereby increasing average order value by 10% to 15%, reported SuperAGI . Algolia's Strategy, Performance, And Prospects Algolia — founded in Paris and now headquartered in San Francisco — appears to be riding this growth wave. The company provides an AI-native search and discovery platform to enable brands such as PetSmart, Best Buy, Chewy, Twitch, Stripe, and Under Armour to deliver fast, relevant, and personalized search experiences, according to an Algolia release. Algolia's search-as-a-service solution uses AI recommendations, NeuralSearch, and real-time personalization to boosts user engagement and increase conversion rates, the release added. Algolia has added many customers in the last five years. 'When I joined Algolia we had less than 7,000 customers, now we have 18,000,' Nixon told me. 'We process two billion transactions per year and have millions of developers on our platform.' Algolia's growth can be attributed to its ability to satisfy e-commerce search customers' need for reliable performance at scale. 'We provide five nine's reliability which means only 26 seconds of downtime per month,' she said. 'Reliability is really important and it is difficult to do when operating st scale.' Algolia has repeatedly introduced meaningful innovations. 'We disrupted the market three times and we are about to do it a fourth,' Nixon explained. Instead of relying on preexisting search software such as Lucene, Algolia's search was built from scratch to work on mobile. Next, the company introduced search as a service and charged customers based on the number of searches — with the price per search declining with the number of searches. Finally, in 2023, Algolia introduced hybrid search — 'combining keyword and natural language search incorporating large language models,' she told me. Algolia is most excited about agentic AI — which will enable consumers to take action towards a goal. The company uses Anthropic's Model Context Protocol — which allows AI agents to access Algolia's search, analytics, recommendations, and index configuration APIs. 'AI agents must be able to work across walled gardens to traverse a company's back-end seamlessly to retrieve data,' she said. 'To that end, we have partnered with Salesforce Commerce Cloud and Adobe Adobe Experience Manager.' Nixon is also excited about how much consumers' use of ChatGPT to search for products is adding to e-commerce providers' web traffic. ' Adobe Analytics has found generative AI is giving retailers and banks 1,200% traffic increases while travel sites are seeing 1,700% increases,' she told me. 'When people come to a retailer's site they bounce 23% less frequently and look at 12% more pages per visit.' Algolia also provides personalized digital shopping guides — say, for Mother's Day and Valentine's Day targeted towards various lifestyles. 'In beta test, we have 73 shopping guides already,' she concluded. Google's Product Search Strategy, Performance And Prospects Google's offerings — notably Google Ads and Vertex AI Search for Commerce — can boost retailer revenues in three ways: Driving traffic and sales via ads. Google Ads increase brand revenue through ads on Google Search and YouTube aimed at specific audiences and keywords, according to a Google release . Google Ads increase brand revenue through ads on Google Search and YouTube aimed at specific audiences and keywords, according to a . Enhancing discovery and personalization. Google Vertex AI Search for Commerce uses real-time back and forth conversation using Gemini models and deploys image or text-and-image search to match recommendations to each consumer's search and purchase behavior, Nimstrata wrote. Google Vertex AI Search for Commerce uses real-time back and forth conversation using Gemini models and deploys image or text-and-image search to match recommendations to each consumer's search and purchase behavior, wrote. Measuring ad effectiveness: Google Brand Lift and Search Lift tools allow brands to measure brand awareness, consideration, and user search behavior to optimize ad budgets, LYFE Marketing noted. What Gartner's Magic Quadrant Says About Algolia And Google In July 2025, Gartner ranked Google and Algolia as Magic Quadrant for Search and Product Discovery leaders based on their completeness of vision and ability to execute. Algolia is the leader among leaders — prevailing over Google. Algolia is proud of Gartner's recognition. 'This is the second year we have been a leader in the Gartner Magic Quadrant for Search and Product Discovery,' Nixon told me. 'We are up and to the right in the leader box which makes us the best in the industry for vision and ability to execute. How? We want to make search easy for the masses. We wanted to be massively scalable in the enterprise. We solve the search puzzle for the masses.' Google was happy to be an MQ leader. 'We believe this recognition affirms Google's evolving commitment to delivering high ROI-generating product discovery, through the use of AI in relevance, ranking, and personalization,' noted Google Cloud AI Director, Product Management in a July 8 company release. Will Google Prevail Over Algolia In Agentic Ai? Algolia is ahead of Google in applying agentic AI for search and product discovery. While Google has not yet launched such a service, on July 11 the search giant acquired executive talent and intellectual property from Windsurf — a leader in agentic AI, noted CNBC . Algolia's MCP Server — launched in June 2025 — enables LLMs and autonomous agents to work together to help consumers buy what they need more quickly. For example, Algolia's agentic AI service can help consumers book a Mediterranean cruise. By retrieving relevant consumer information from platforms such as Adobe and Salesforce. For example, Algolia agentic AI service can recommend and book a Mediterranean cruise based on each guest's chosen destinations, travel history, and other preferences — in milliseconds, according to a company release. 'This isn't about showing off what agents could do,' Nixon said. 'It's about showing what they can do right now with a powerful user experience, if they have the right layer of intelligence underneath. That's where Algolia fits.' Meanwhile, Google is currently experimenting with agentic AI for travel. Google's 'AI Mode' will be able to 'plan full itineraries, remember context, and keep users within the AI interface — even for booking,' noted 'Google's Project Mariner' will enable 'AI to take actions online -- like booking a hotel or tracking flight prices.' Google stock is 12% undervalued based on the average price target of 37 Wall Street analysts, according to TipRank . If Algolia's lead over Google in search and product discovery is any indication, those analysts could be too optimistic.
Yahoo
08-07-2025
- Business
- Yahoo
Algolia Named a Leader in 2025 Gartner® Magic Quadrant™ for Search and Product Discovery
SAN FRANCISCO, July 08, 2025--(BUSINESS WIRE)--Algolia, the AI-native search and discovery platform trusted by 18,000 businesses and millions of developers worldwide, today announced it has been named a Leader in the 2025 Gartner® Magic Quadrant™ for Search and Product Discovery. Gartner noted "Leaders demonstrate the ability to provide a depth and breadth of functionality. They deliver capabilities across multiple industries and business models that can scale up to support large search volumes. They provide sales and support services both directly and through an ecosystem of application, service and integration partners. They innovate, typically by means of technology updates, new products and product functionality, investments inside and outside core S&PD, and programs that improve customers' ability to succeed. Leaders tend to be mature in a market, and also have financial, technical and organizational viability, and consistently feature in Gartner clients' evaluations of vendors. They often set the competitive benchmark against which other vendors measure themselves." Algolia leverages cutting-edge Retrieval Augmented Generation (RAG) and Large Language Models (LLMs) to understand the intent behind search queries and improve relevancy. By understanding both context and words, Algolia helps businesses across diverse verticals increase customer loyalty, reduce manual upkeep, and meet business goals. Bernadette Nixon, CEO of Algolia said: "We believe this recognition by Gartner is a testament to our vision and passion for delivering value and results for our customers. The other thing we're excited about at the moment is the power of agentic AI powered by Algolia, where software powered by language models is no longer limited to answering questions, but can autonomously make decisions and take actions to support business goals." Algolia's recently announced Model Context Protocol (MCP) Server is the first proof point in a long-term roadmap aimed at positioning Algolia as both the retrieval layer for agents and a trusted foundation for agent-oriented applications. AI-First Platform Built for Scale Algolia's API-first platform is cloud agnostic and runs on a multi-cloud infrastructure (AWS, Azure, GCP) and includes: AI Search – Real-time semantic and keyword search with context awareness AI Browse – Personalized category navigation powered by intent signals AI Recommendations – Behavior- and vector-based suggestions for discovery Merchandising Studio – Low-code tools for business users to guide AI behavior Analytics – Action-oriented insights like Next Best Actions for ongoing optimization With support for over 60 languages out of the box, Algolia enables rapid, multi-market rollout with no additional tuning required. Innovation Spotlight: Agentic AI & Generative AI In the past six months, Algolia launched several major AI-driven advancements: Context-Aware Retrieval for the Agentic era – A breakthrough in autonomous decisioning, enabling the search engine to act on user intent, adapt in real-time, and self-optimize — from auto-generating synonyms to launching new workflows Intelligent Fashion Solution – A bold, fashion-first innovation bringing AI-powered capabilities to every layer of the online retail experience Smart Groups – AI-powered curation and automation for content and merchandising teams AI-Ranking – Next generation ranking comprising Advanced Dynamic Reranking, Multi-Signal Ranking, and Dynamic Reranking for revenue Shopping Guides – A Generative AI tool for elevating the online shopping experience These innovations build on Algolia's mission to make AI-native Search and Discovery the most powerful lever in the modern digital experience stack — for both B2C and B2B brands. Platform Adoption and Ecosystem Algolia serves thousands of customers globally across retail, media, travel, SaaS, and financial services. It supports midmarket and enterprise clients with a robust partner ecosystem, developer tooling, and transparent pricing, including a free tier for developers managing up to 1 million SKUs. Gartner Magic Quadrant research methodology provides a graphical competitive positioning of four types of technology providers in fast-growing markets: Leaders, Visionaries, Niche Players and Challengers. Bernadette Nixon added: "We consider Algolia's position as a Magic Quadrant Leader validates the strength of our AI architecture—from vector and hybrid search to agentic workflows and GenAI capabilities. We've built a platform engineered for speed, scale, and precision—because relevance at millisecond latency isn't optional. It's expected." From Algolia's perspective, at the core of its positioning lies its unmatched data footprint, AI-first architecture, and proven impact across conversion, cross-sell, user engagement, ad performance, and order value applications. To learn why 18,000+ companies trust Algolia's industry-leading AI, experience Algolia AI Search first-hand here or request a demo. Source: Gartner, "Magic Quadrant for Search and Product Discovery," Mike Lowndes, Aditya Vasudevan, Sandy Shen, Noam Dorros, June 25, 2025. Gartner DisclaimerGartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. About AlgoliaAlgolia is a leading provider of AI search solutions, serving over 18,000 businesses and 500,000 developers globally. Renowned for its user-friendly API-First platform and the fastest AI search technology, Algolia is the largest hosted search engine, trusted by businesses and developers for 1.75 trillion searches per year. Backed by a decade of innovation, expertise, and growth, Algolia continuously redefines the search landscape with its commitment to user-friendly solutions, significant scalability, and unmatched speed. Learn more: View source version on Contacts Audrey Surettealgolia@ Error al recuperar los datos Inicia sesión para acceder a tu cartera de valores Error al recuperar los datos Error al recuperar los datos Error al recuperar los datos Error al recuperar los datos
Business Wire
08-07-2025
- Business
- Business Wire
Algolia Named a Leader in 2025 Gartner ® Magic Quadrant
SAN FRANCISCO--(BUSINESS WIRE)-- Algolia, the AI-native search and discovery platform trusted by 18,000 businesses and millions of developers worldwide, today announced it has been named a Leader in the 202 5 Gartner® Magic Quadrant™ for Search and Product Discovery. Gartner noted 'Leaders demonstrate the ability to provide a depth and breadth of functionality. They deliver capabilities across multiple industries and business models that can scale up to support large search volumes. They provide sales and support services both directly and through an ecosystem of application, service and integration partners. They innovate, typically by means of technology updates, new products and product functionality, investments inside and outside core S&PD, and programs that improve customers' ability to succeed. Leaders tend to be mature in a market, and also have financial, technical and organizational viability, and consistently feature in Gartner clients' evaluations of vendors. They often set the competitive benchmark against which other vendors measure themselves.' Algolia leverages cutting-edge Retrieval Augmented Generation (RAG) and Large Language Models (LLMs) to understand the intent behind search queries and improve relevancy. By understanding both context and words, Algolia helps businesses across diverse verticals increase customer loyalty, reduce manual upkeep, and meet business goals. Bernadette Nixon, CEO of Algolia said: 'We believe this recognition by Gartner is a testament to our vision and passion for delivering value and results for our customers. The other thing we're excited about at the moment is the power of agentic AI powered by Algolia, where software powered by language models is no longer limited to answering questions, but can autonomously make decisions and take actions to support business goals.' Algolia's recently announced Model Context Protocol (MCP) Server is the first proof point in a long-term roadmap aimed at positioning Algolia as both the retrieval layer for agents and a trusted foundation for agent-oriented applications. AI-First Platform Built for Scale Algolia's API-first platform is cloud agnostic and runs on a multi-cloud infrastructure (AWS, Azure, GCP) and includes: AI Search – Real-time semantic and keyword search with context awareness AI Browse – Personalized category navigation powered by intent signals AI Recommendations – Behavior- and vector-based suggestions for discovery Merchandising Studio – Low-code tools for business users to guide AI behavior Analytics – Action-oriented insights like Next Best Actions for ongoing optimization With support for over 60 languages out of the box, Algolia enables rapid, multi-market rollout with no additional tuning required. Innovation Spotlight: Agentic AI & Generative AI In the past six months, Algolia launched several major AI-driven advancements: Context-Aware Retrieval for the Agentic era – A breakthrough in autonomous decisioning, enabling the search engine to act on user intent, adapt in real-time, and self-optimize — from auto-generating synonyms to launching new workflows Intelligent Fashion Solution – A bold, fashion-first innovation bringing AI-powered capabilities to every layer of the online retail experience Smart Groups – AI-powered curation and automation for content and merchandising teams AI-Ranking – Next generation ranking comprising Advanced Dynamic Reranking, Multi-Signal Ranking, and Dynamic Reranking for revenue Shopping Guides – A Generative AI tool for elevating the online shopping experience These innovations build on Algolia's mission to make AI-native Search and Discovery the most powerful lever in the modern digital experience stack — for both B2C and B2B brands. Platform Adoption and Ecosystem Algolia serves thousands of customers globally across retail, media, travel, SaaS, and financial services. It supports midmarket and enterprise clients with a robust partner ecosystem, developer tooling, and transparent pricing, including a free tier for developers managing up to 1 million SKUs. Gartner Magic Quadrant research methodology provides a graphical competitive positioning of four types of technology providers in fast-growing markets: Leaders, Visionaries, Niche Players and Challengers. Bernadette Nixon added: 'We consider Algolia's position as a Magic Quadrant Leader validates the strength of our AI architecture—from vector and hybrid search to agentic workflows and GenAI capabilities. We've built a platform engineered for speed, scale, and precision—because relevance at millisecond latency isn't optional. It's expected.' From Algolia's perspective, at the core of its positioning lies its unmatched data footprint, AI-first architecture, and proven impact across conversion, cross-sell, user engagement, ad performance, and order value applications. To learn why 18,000+ companies trust Algolia's industry-leading AI, experience Algolia AI Search first-hand here or request a demo. Source: Gartner, " Magic Quadrant for Search and Product Discovery," Mike Lowndes, Aditya Vasudevan, Sandy Shen, Noam Dorros, June 25, 2025. Gartner Disclaimer Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. About Algolia Algolia is a leading provider of AI search solutions, serving over 18,000 businesses and 500,000 developers globally. Renowned for its user-friendly API-First platform and the fastest AI search technology, Algolia is the largest hosted search engine, trusted by businesses and developers for 1.75 trillion searches per year. Backed by a decade of innovation, expertise, and growth, Algolia continuously redefines the search landscape with its commitment to user-friendly solutions, significant scalability, and unmatched speed. Learn more:
Business Wire
24-06-2025
- Business
- Business Wire
Central Department Store Transforms E-Commerce Experience with Algolia's AI-Powered Search Platform
SAN FRANCISCO--(BUSINESS WIRE)-- Algolia, the world's only end-to-end AI Search and Discovery platform, today announced that Central Online, the e-commerce platform of Central Department Store (a subsidiary of Central Retail Corporation (CRC), a multi-format retail, real-estate, and hospitality conglomerate with operations across Asia and Europe), has significantly enhanced its customer experience through the implementation of Algolia's AI Search platform to better understand shoppers and show them what they need from an extensive catalog of 69 million products. The decision to move to Algolia was driven by Central Department Store's commitment to delivering fast, relevant, and intuitive search experiences for its online customers. Central Online's digital marketing team identified an opportunity to enhance search functionality by embracing Algolia's cutting-edge AI capabilities and user-friendly interface. For example, the team is now using Algolia's AI-powered Dynamic Re-Ranking feature to find trends in user behavior and improve relevance by boosting popular search results. Kunapas Thongpiam, Head of Search & Onsite Optimization, Central Online, said: 'We're always striving to push the boundaries of agility and innovation for our customers; this quest led us to Algolia. Customers can now search through millions of our products and find what they love in milliseconds, regardless of search queries or language.' As part of its ambitious omnichannel, digital transformation and re-platforming to Adobe Experience Manager and Adobe Commerce, Central Online successfully migrated from Elasticsearch to Algolia's AI Search platform to enhance search, browsing, and product discovery across its massive catalog. The migration, executed in collaboration with Algolia's Technical Team, was seamless and efficient, integrating effortlessly into Central Department Store's broader digital transformation initiatives. Central Online adopted Algolia's Search, Browse, and Product Carousels creation capabilities, along with advanced features such as InstantSearch, Query Suggestions, Dynamic Re-ranking, Rules, and Dynamic Filters. With these features, Central Online has streamlined its user interactions and enhanced the digital shopping experience. Thongpiam added: 'Before using Algolia's Dynamic Re-ranking, our search results were repetitive and primarily based on price. Now, with Dynamic Re-ranking, we have transformed our search experience, offering highly relevant results that we could never achieve manually. Importantly, we have found the Algolia AI Search platform to be far more user-friendly for a non-tech person or a business unit—what used to take us hours and days, is now a simple 5-minute set-up.' Working closely with Algolia, Central Department Store also addressed the unique challenge of processing Thai language search queries, which often lack spaces between words. Leveraging Algolia's AI capabilities, namely Natural Language Processing (NLP), Central Online can now accurately parse and improve search relevance for Thai queries with tokenization. Michelle Adams, President of Field Operations, Algolia said: 'Central Group's commitment to innovation and exceptional customer experiences aligns perfectly with Algolia's mission. We're proud to be their AI search platform of choice and excited to see how our collaboration continues to elevate their e-commerce strategy.' To sign up for a demo of Algolia's end-to-end AI, go to: Read the full case study here to learn more about Algolia and Central Group's partnership and the retailer's AI-driven journey to higher conversions and enhanced customer engagement. About Algolia Algolia is a leading provider of AI search solutions, serving over 18,000 businesses and 500,000 developers globally. Renowned for its user-friendly API-First platform and the fastest AI search technology, Algolia is the largest hosted search engine, trusted by businesses and developers for 1.75 trillion searches per year. Backed by a decade of innovation, expertise, and growth, Algolia continuously redefines the search landscape with its commitment to user-friendly solutions, significant scalability, and unmatched speed. Learn more:
Business Wire
11-06-2025
- Business
- Business Wire
Algolia Scores Big in Every Category in Paradigm B2B's Prestigious 2025 Enterprise Edition of its B2B Combine for Search and Discovery
SAN FRANCISCO--(BUSINESS WIRE)-- Algolia, the world's only end-to-end AI Search and Discovery solution, today announced it has been awarded 12 medals across all 12 categories in Paradigm B2B 's 2025 Enterprise Edition of its B2B Combine for Search and Discovery. By honoring Algolia with these accolades, Paradigm B2B highlighted Algolia's scale, noting that it processes nearly 2 trillion search queries per year, second only to Google. The report also notes that Algolia is differentiated for its approach to transparent algorithms and fast search. When exploring Algolia's features with its customers, Paradigm found that these tech users speak highly of Algolia's analytics and reporting capabilities, visibility into the performance of its system, and ease of use. Empowering B2B leaders to get started with AI search and discovery effortlessly has never been more critical. In the AI search leader's recent B2B ecommerce site trends report, Algolia found that 9 out of 10 B2B eCommerce leaders recognize AI's crucial role in their long-term strategy, but only 41% are fully AI operational. Algolia's Vice President of Product Marketing Nate Barad remarked: 'At Algolia, we're in the business of empowering eCommerce leaders with AI search tools they can trust and launch quickly. Paradigm's evaluation of our AI search platform confirms that this approach is resonating with our customers. They understand how our solution works, can apply their unique B2B requirements, and appreciate how our capabilities help them realize the value of AI without delay. This is especially critical now, as B2B eCommerce leaders are eager to embrace AI and close the gap with their digitally savvy B2C counterparts, but often don't know where to begin.' In compiling its prestigious 2025 B2B Combine for Search and Discovery (Enterprise), Paradigm evaluates and scores vendors on an invite-only basis. Each vendor has the opportunity to present their company vision, product capabilities and roadmap, go-to-market strategies and tactics, partner ecosystem, and customer case studies. Paradigm B2B then leverages a robust scoring methodology to evaluate all vendors on a scale of 1 to 5 across 48 detailed and weighted criteria. Medals are then awarded based on composite scores in 12 distinct categories, Paradigm gives special weighting to the "voice of the customer" score by gathering market feedback directly from dozens of vendor partners and clients. Andy Hoar, Paradigm B2B CEO, noted: 'At Paradigm, we're focused on empowering B2B companies to succeed in today's complex and digitally disrupted commerce landscape. As part of that mission, we conducted an in-depth evaluation of search and discovery solutions to equip the market with clear, actionable insights. After examining 12 key criteria, Algolia distinguished itself with industry-leading speed and highly scalable infrastructure, making it a top-tier choice for companies looking to take their search strategies to the next level." Read Paradigm B2B's full evaluation of Algolia's AI search here. To schedule a demo of Algolia's award-winning end-to-end AI search platform, visit Algolia is a leading provider of AI search solutions, serving over 18,000 businesses and 500,000 developers globally. Renowned for its user-friendly API-First platform and the fastest AI search technology, Algolia is the largest hosted search engine, trusted by businesses and developers for 1.75 trillion searches per year. Backed by a decade of innovation, expertise, and growth, Algolia continuously redefines the search landscape with its commitment to user-friendly solutions, significant scalability, and unmatched speed. Learn more:
