Yes. Nosto delivers enterprise search infrastructure, SLAs, developer tooling (CLI, API, app), and CMS integrations — and adds retail-specific merchandising, content discovery, segmentation, and personalization in a single platform built exclusively for retail.
Nosto vs Algolia: which ecommerce search & discovery platform is better for retailers?
If you’re evaluating Algolia for ecommerce search, it’s worth taking a closer look at what a retail-built commerce experience platform can do. Nosto delivers best-in-class search alongside the merchandising depth, personalization, and content discovery that fast-growing brands rely on to differentiate.
Search relevance is table stakes. What separates the platforms retailers stay with is what happens around search—the merchandising controls, the personalization signals, the content surfacing, and the pricing model. That’s where Nosto is built to win.
What Nosto delivers
Nosto’s Personalized Search combines two dedicated search acquisitions with more than a decade of Nosto’s merchandising technology. The result is an enterprise-grade search engine purpose-built for retail. We are not a horizontal search provider where ecommerce is just one of the industries we serve. For Nosto, every feature, every roadmap decision, every integration is shaped by ecommerce use cases.
As a result, Nosto search powers many enterprise search capabilities, including high-performance infrastructure, developer tooling, and advanced search relevance techniques. Under the hood, Nosto’s search engine uses a multi-layered NLP and vector approach: decompounding, latent semantic indexing (LSI), typo correction, synonym detection, behavioral and collaborative filtering, stemming and lemmatization, image recognition, and multi-language support across 24 languages out of the box (100+ supported).
And because Nosto is built exclusively for brands and retailers, search sits inside a broader commerce experience platform—not bolted onto a generic search API.
Considering Algolia? Nosto offers merchandising depth retailers need
This is where Nosto’s retail focus shows up most clearly. Merchandising teams get granular control over search and category results using real performance data, with controls designed for merchandisers — not engineers.
Nosto’s merchandising controls include:
- Weighted merchandising rules that combine multiple signals at once
- Inventory-based ranking to surface or suppress products by stock level
- Return rate boost and bury to protect margin on high-return SKUs
- Conversion rate and RPV ranking to favor products that actually drive revenue
- Price and discount boost/bury to align surfacing with promotional strategy
- Custom-field and SKU-level controls for vertical-specific merchandising logic
The ability to surface, or suppress, products based on return rate, revenue per visitor (RPV), inventory levels, or discount status isn’t a luxury feature for fast-moving retail brands. It’s essential.
Search experiences that go beyond the basics
Beyond backend merchandising, Nosto enables on-site search experiences that retail teams use to differentiate:
Segmented search and merchandising. Show entirely different search results and product face-outs to different customer segments. Hanky Panky, for example, surfaces distinct product sets and card layouts for plus-size vs. regular-size shoppers — all from the same search query.
Personalized search powered by your email platform. Nosto integrates with Klaviyo to use email-based signals both onsite and offsite, shaping search results around individual shopper behavior across channels.
Content and federated search. Nosto indexes non-SKU content — articles, blogs, and editorial pages — and surfaces it in autocomplete and search results. That same content can trigger full-funnel experiences outside of search and merchandising too.
Advanced intent understanding. Search for “pancake” on a kitchenware store, and Nosto surfaces crêpe pans. Search for “steak pan” and griddle pans appear. The engine understands semantic relationships between concepts, not just keyword matches.
Variant color intent. Search for “red shirt” and Nosto finds the correct SKU of a parent product. Search “blue shirt” and it switches automatically. The right color, the right product, without merchandising rules for every permutation.
Persistent filters and fitment data. UTV Source uses Nosto’s “my garage” feature to persist vehicle-specific filters across the entire shopping experience — search and browse. The same approach applies to fashion (saved size preferences) and other verticals.
AI Shop-the-Look and advanced recommendations within search — embedded recommendation logic inside the search experience itself, not a separate module bolted on afterward.
Predictable pricing, even on your biggest days.
Nosto’s pricing is fixed by gross merchandise value (GMV), so merchants can use search and discovery without query-based limits. For fast-growing retail brands—particularly those running seasonal campaigns or influencer promotions—this means predictable costs even when traffic spikes.
Usage-based pricing models, by contrast, can produce unexpected cost increases during peak periods like Black Friday or viral moments, precisely when growth should be celebrated rather than penalized at the invoice.
What customers say
Nosto holds a 4.8-star rating on the Shopify App Store (as of April 2026), with reviews consistently highlighting usability and the depth of merchandising controls. We’re proud of those reviews—high Shopify App ratings are hard-won, and platforms that don’t focus exclusively on retail, or that lean heavily on developer configuration rather than merchandiser-friendly tooling, often struggle to earn the same merchant trust.
Built for differentiation, not standardization
Beyond feature comparison, there’s a strategic consideration worth raising. Platforms that serve many industries are by design optimized for breadth—a consistent search experience that works across every vertical they cover.
For many businesses, that consistency is genuinely valuable. For retail brands focused on differentiation, however, the ability to shape search around merchandising strategy, customer segments, and behavioral signals can matter just as much as core relevance.
Nosto is built around those retail-specific capabilities, letting brands create search and discovery experiences tailored to their own merchandising strategy and customer behavior—not a horizontal default.
When Nosto is the right fit
- Retailers and ecommerce brands that want every product decision shaped by retail context
- Teams needing built-in merchandising controls without months of custom development
- Businesses wanting personalized product discovery across search, categories, and recommendations
- Brands looking for predictable pricing during traffic spikes and peak retail moments
If you’re outside ecommerce and need general search infrastructure, or you have a developer-led team building a fully custom search experience from primitives, a horizontal API-first search provider may be the right call. For retail brands building a differentiated commerce experience, Nosto is purpose-built for the job.
The bottom line
Powerful search is the starting point. The question for retail brands is what comes next—the merchandising depth, the personalization, the content discovery, the pricing model that scales with your business instead of against it.
Nosto is built for retailers who want all of it in one platform.
If you’re evaluating search platforms for your ecommerce business, exploring how Nosto’s Personalized Search works in practice can give you a clearer picture of the merchandising and personalization capabilities available.
Book a demo to see how brands use Nosto to power product discovery, merchandising, and personalization across the entire shopping journey.
*Information about third-party platforms reflects publicly available materials at the time of writing and is subject to change.
FAQ
Is Nosto a good alternative to Algolia for enterprise retail brands?
How does Nosto’s search algorithm work?
Nosto uses a multi-layered approach combining NLP, vector search, LLM capabilities, behavioral and collaborative filtering, decompounding, LSI, typo correction, synonym detection, image recognition, and stemming/lemmatization. Nosto’s native personalization engine then automates real-time ranking based on individual user behavior.
How does Nosto’s pricing work?
Nosto’s pricing is fixed by GMV, meaning costs are predictable regardless of how heavily you use the platform. That’s a meaningful difference from query-volume-based pricing models, which can produce significant and unexpected increases during peak periods like Black Friday or influencer-driven traffic spikes.
Can Nosto personalize search results by customer segment?
Yes. Nosto supports segmented search and category merchandising, showing different product results, rankings, and card face-outs to different customer segments based on behavioral data, profile attributes, or email platform signals (including Klaviyo integration).
Is Nosto’s search infrastructure built for high-traffic retail events?
Yes. Nosto supports up to 1,300 requests per second during sales and influencer campaigns via peak performance packages designed for demanding DTC brands.
What merchandising controls does Nosto offer?
Beyond standard category boost and bury, Nosto offers weighted merchandising rules, inventory boost/bury, return rate boost/bury, conversion rate boost/bury, RPV boost/bury, price boost/bury, discount boost/bury, and custom-field boost/bury at the SKU level—all controllable by merchandising teams without engineering support.