Algolia: AI search that understands your B2B buyers and agentic workflows

Recognized as a Leader in the Gartner Magic Quadrant for the 3rd consecutive year, Algolia powers product discovery on DJUST platforms. Thanks to its AI Search, which combines semantic and keyword-based search, every B2B buyer instantly finds what they are looking for (description, reference, or SKU), even within catalogs containing millions of items.

Who are they?

Founded in 2012 by two French engineers, Algolia is now a benchmark in AI-powered search. Its infrastructure unites vector search and keyword matching in a single API to understand user intent and show them exactly what they are looking for. With a presence from Paris to San Francisco, and London to Sydney, Algolia is recognized by Gartner, IDC, Forrester, and Paradigm B2B.

Reference clients: Raja, ManoMano, Gymshark, Walgreens, JD Sports, Orange

Testimonial

Solène Le Saout, Director of Partnerships Europe, discusses the partnership with DJUST

Solène Le Saout, Director of Partnerships Europe

"We are thrilled to collaborate with the DJUST team around a shared vision: making B2B commerce as simple and intuitive as B2C. By combining our expertise, we are helping companies modernize their purchasing experiences, simplify product discovery, and offer their customers more seamless and personalized journeys."

4 key takeaways:

1. AI Search: search that understands buyer intent

Algolia’s AI Search (NeuralSearch technology) combines semantic search and keyword matching in milliseconds. A B2B buyer can search by description, part number, SKU, or approximate phrasing and get the right results, without needing to know the exact catalog terminology.

2. A leader recognized by major analysts

Algolia is a Leader in the 2026 Gartner® Magic Quadrant™ for Search and Product Discovery for the third year in a row, and a Leader in the IDC MarketScape for knowledge discovery software. According to the Forrester TEI study, a typical organization generates $3.1M in net present value over 3 years. Algolia also won 12 awards in 12 categories at the 2025 Paradigm B2B Enterprise Combine, with clients praising its speed, transparency, analytics, and ease of use.

3. Ready for agentic commerce

As AI agents begin to make purchases autonomously, product discovery becomes the layer that determines what they select. Algolia structures your product data to be readable and actionable for agents, and offers Agent Studio (for creating, testing, and deploying AI agents) as well as an MCP Server to query your index within agentic workflows.

4. AI-driven merchandising, controlled by your team

AI continuously learns what converts and re-ranks results (Dynamic Re-Ranking). With query categorization and Merchandising Studio, your teams can boost, hide, or pin products with full transparency, using AI-generated synonyms.

From search to discovery: AI at every stage of the B2B buying journey

Intro:Algolia covers the entire discovery journey, from the initial query to personalized recommendations.

AI Search

Search by keyword, description, part number, SKU, or any other product attribute
Typo tolerance, synonyms, and autocomplete
Unified results: products, case studies, and FAQs in a single experience
Query categorization and Dynamic Re-Ranking to automatically boost top-selling items
Results in milliseconds, even across millions of items

AI Recommendations and AI Browse

Related products, trending items, and frequently bought together suggestions to increase average order value
Automatically generated category and collection pages with faceted navigation (brand, stock, category)
A/B testing for ranking algorithms to continuously optimize relevance

B2B Personalization

Catalog restricted to products accessible to each specific customer
Account-specific pricing tiers
Stock levels displayed based on the purchasing warehouse

Agentic Commerce & AEO

Enriched product data optimized for AI agents (Answer Engine Optimization)
Compatibility with the Universal Commerce Protocol (UCP), an open standard launched by Google in January 2026 (to be confirmed with product team)
Managing product visibility within agent-driven purchasing journeys

How Algolia works: from indexing to conversion

Algolia integrates with any platform via API: index your data, configure relevance, and let AI optimize it continuously.

Step 1: Indexing

‍Your product data is sent via API and indexed in real time. It can be transformed and enriched during indexing (Data Transformation, Data Enrichment), with support for variants and complex structures.

Step 2: Relevance

‍Your teams define ranking rules, synonyms (including AI-generated ones), boosts, and facets from the Merchandising Studio.

Step 3: Personalization

‍Results adapt to each account and profile without compromising performance.

Step 4: Analytics and optimization

‍Analytics reveal zero-result queries and top search terms, while AI refines ranking based on actual user behavior.

Why DJUST and Algolia are the perfect duo for agentic B2B commerce

DJUST manages B2B ordering processes, while Algolia handles product discovery. Together, they cover the buyer journey from the first query to the confirmed order, for both human buyers and AI agents.

4 reasons to combine DJUST and Algolia:

‍1. API-first integration

‍Algolia connects to DJUST APIs, and catalog updates are reflected in real time.

2. Multi-account experience

Each buyer sees the catalog, pricing, and stock levels relevant to them, with no impact on performance.

3. Product discovery as a competitive advantage

With agentic commerce, product visibility to agents becomes strategic. Algolia gives you the tools to maximize it.

4. Measurable ROI

The Forrester TEI study calculates a 3-year net present value of $3.1M for a typical organization.

Why integrate Algolia with DJUST instead of using the native search?

Native e-commerce platform search is functional but limited: it lacks semantic understanding, customer-account personalization, and AI-driven optimization. Algolia adds a specialized search layer that turns product discovery into a conversion driver, with a level of relevance that generic engines simply cannot match.

Does Algolia handle complex B2B catalogs with millions of items?

Yes. Algolia is designed for massive catalogs with specific B2B requirements: product variants, multiple technical attributes, customer-specific pricing, and real-time inventory management. NeuralSearch technology maintains search performance in milliseconds, even across indexes with millions of items.

How does Algolia prepare DJUST platforms for agentic commerce?

Agentic commerce refers to purchasing journeys driven by autonomous AI agents. For an agent to select your products, they must be structured, well-described, and exposed via APIs. Algolia structures DJUST product data as metadata readable by algorithms (AEO) and is compatible with new standards such as Algolia Agent Studio and MCP Server, or Google's Universal Commerce Protocol (UCP).

What is Algolia's pricing model?

Algolia offers a model based on the number of searches and indexed records. A free starter plan is available for projects in the testing phase. For a DJUST project in production, our teams can guide you toward the plan best suited to the size of your catalog and your traffic volume.