Quick verdict. Choose Algolia if you have developers who want a fast, flexible search API to build exactly the experience they design, across many content types. Choose Xearch if your catalog is technical, your buyers search by spec, application and part number, and you want that understanding plus sales handover delivered as a product rather than built in-house.
What Algolia is
Algolia is a hosted search and discovery platform used by thousands of companies, from ecommerce to media and SaaS. Developers push records into indices through an API, then build the front end with Algolia’s InstantSearch libraries. On top of keyword search it offers NeuralSearch (hybrid keyword and vector retrieval), recommendations, merchandising tools and analytics. In September 2025 it launched Agent Studio for building AI agents grounded in Algolia’s retrieval, and in 2026 it was again named a Leader in Gartner’s Magic Quadrant for search and product discovery.
Pros and cons
Where Algolia shines
- Very fast results and typo tolerance, even on large indices
- Excellent documentation, SDKs and front-end libraries
- Flexible: search products, content, docs and help centres from one platform
- Mature merchandising, A/B testing and analytics
- Hybrid keyword and vector retrieval with NeuralSearch
- Agent Studio gives developers a path to conversational experiences
Where B2B teams hit friction
- Usage-based pricing can rise quickly with traffic and records
- Spec-aware search (units, ranges, load ratings) must be modelled by your developers
- No built-in concept of part compatibility or replacement parts
- Sales handover and lead capture are outside the core product
- Getting the most from it needs ongoing relevance tuning by a technical team
Ideal use cases for Algolia
- Developer-led teams that want full control over the search UI and ranking logic.
- Content-rich sites that need one search across products, articles, documentation and support.
- High-traffic B2C stores where speed, autocomplete and merchandising drive conversion.
- Companies building their own AI agents that want a proven retrieval layer underneath.
Algolia vs Xearch for industrial catalogs
| Algolia | Xearch | |
|---|---|---|
| What you get | Search API and toolkit to build on | Finished AI product search and sales assistant |
| Spec queries (“5 in, 1,000 lb”) | Possible with careful numeric modelling and rules | Built in: units and numbers become filters |
| Application queries (“for a blast furnace”) | Semantic retrieval helps; product knowledge must be supplied | Trained on your catalogs, guides and videos |
| Part-number compatibility | Custom data model and rules | Built in: part numbers resolve to compatible parts |
| Human handover and lead capture | Build or integrate separately | Built in, to CRM, email or chat inbox |
| Who does the work | Your developers | Xearch engineers, with your review |
| Pricing model | Usage-based (requests and records) | Custom quote by catalog and channels |
When to choose which
Pick Algolia when search is a core engineering competency in your company, you need one engine for many content types, or you already run Algolia and simply need better tuning.
Pick Xearch when your catalog is the hard part: thousands of near-identical SKUs, buyers who type load ratings and part numbers, and a sales team that needs qualified enquiries rather than more traffic. You get the industrial query understanding without building it.
Not sure? Bring five real buyer queries to a 30-minute call and we’ll show you the Xearch results next to your current search.
Frequently asked questions
Is Algolia good for B2B ecommerce?
Algolia can power B2B search well when a development team models the catalog carefully: numeric attributes for specs, facets, synonyms for trade terms and rules for part numbers. It doesn’t ship B2B-specific behaviour such as compatibility lookups or sales handover out of the box, so that logic is built by your team.
How is Algolia priced?
Algolia uses usage-based pricing tied to search requests and records, with a free entry tier and custom enterprise plans. Costs grow with traffic and catalog size, so model expected volumes before committing.
Can Xearch and Algolia be used together?
Yes. Some teams keep Algolia for site-wide keyword search and add Xearch as the AI product finder and sales assistant for technical queries and lead capture.
What is Algolia Agent Studio?
Agent Studio is Algolia’s platform for building AI agents grounded in its retrieval engine, announced in September 2025. It gives developers tool orchestration, observability and front-end components to build conversational experiences on top of Algolia indices.
Sources
- Algolia launches Agent Studio (Business Wire, Sept 2025)
- Algolia recognised as a Leader in the 2026 Gartner Magic Quadrant (Algolia)
- The 7 best Algolia alternatives for site search in 2026 (Ringly)
This comparison is written by the Xearch team and is based on vendors’ public documentation, announcements and independent reviews available at the time of review. Features and pricing change; confirm details with each vendor. All product names and trademarks belong to their respective owners.