Searchspring, Klevu, and Intelligent Reach are now Athos Commerce - what changed?

Yes - if you've seen "Searchspring is now Athos Commerce" or "Klevu is now Athos Commerce" and weren't sure what happened, here's the short version. Searchspring, Klevu, and Intelligent Reach were brought under one parent company, Athos Commerce, in a 2025 consolidation. All three still sell as separate products, with separate contracts, separate pricing, and separate integrations - there's no single unified platform underneath the brand yet.

If you landed here comparing one product on its own, we have dedicated breakdowns: the best Klevu alternatives (and a Shopify-specific Klevu breakdown), plus the best Searchspring alternatives. This guide zooms out to the whole portfolio: what the consolidation changed, and the search-and-discovery tools worth weighing once you look beyond it.

Why look beyond it at all? If both Klevu and Searchspring land on your shortlist, you're now comparing two search tools from the same vendor - which limits your room to negotiate before you've even asked for a price. The bigger gap shows up in shopper behavior: when someone types "do these run narrow?" or "is this machine-washable?", both tools return a results page and stop. The shopper doesn't open a ticket - they leave, and the sale goes with them. Covering that gap requires a tool that reads the question and answers it from your own content, not just matches keywords to catalog titles. Four tools come up most often when ecommerce teams look outside the Athos portfolio:

• Nobi - conversational product search plus automated shopper Q&A in one platform. $25/month base. Pick when shoppers are typing questions and you want cited answers without a separate chat vendor.
• Algolia - developer search API with sub-50ms response times and full ranking control. Usage-based; free tier at 10K searches/month. Pick when a dedicated search engineer wants to own every relevance decision in code.
• Fast Simon - Shopify search and visual merchandising toolkit. From $39.99/month. Pick when seasonal collection edits are the main CVR bottleneck and your team needs to ship them without engineering.
• Constructor - AI-native product discovery with in-session behavioral reranking across search, category, and browse. Revenue-share pricing. Pick when full-site personalization and an in-house data team are both on the table.

Full disclosure: Nobi is our product, and it's included in this list alongside the three competitors head-of-ecommerce buyers most often weigh against it. We've aimed to be honest about Nobi's own limits and explicit about when another tool on this list is the better pick.

What does the Athos Commerce consolidation mean for your search stack?

Athos Commerce is a strong ecommerce search portfolio: Searchspring, Klevu, and Intelligent Reach combined under one parent brand in 2025, covering AI search, merchandising, and personalization. The friction is structural. The three products still run as separate contracts with separate pricing and integrations - no single unified platform underneath.

Shortlisting both Klevu and Searchspring means comparing two products from the same company, which limits your room to negotiate. Neither product includes a native layer for pre-purchase shopper questions - both return results pages, leaving Q&A to a ticket or a separate tool. Pricing across the portfolio runs mid-market, with less room at the entry end than independent challengers.

Klevu is AI-powered Shopify search with a no-code merchandising dashboard. It installs from the Shopify App Store and works best on Shopify, though it's less straightforward for brands on other platforms. If Klevu is the product on your shortlist, our Klevu alternatives breakdown goes deeper on the head-to-head.

Searchspring covers site search, merchandising, and recommendations for Shopify and BigCommerce, at a similar mid-market price point. For a Searchspring-specific comparison, see our Searchspring alternatives guide.

Nobi is a standalone alternative that pairs site search with automated shopper Q&A in one product - covering the gap neither Klevu nor Searchspring fills.

How did we evaluate these Athos Commerce alternatives?

That gap - search without an answer layer - shaped the criteria we used. We evaluated each tool on four things. First, how well it closes the vocabulary gap between how shoppers describe products and how catalog titles name them - without a manually maintained synonym list. Second, how fast a store can go live without a professional services engagement. Third, whether the vendor publishes a starting price or requires a demo to see a number. Fourth, whether the tool can respond to "do these run narrow?" with a sourced answer or only returns a results page.

1. Nobi

Nobi is a website assistant that covers product search and automated shopper Q&A in one platform. Where Klevu and Searchspring return a results page and leave the shopper to work out the rest, Nobi answers the question directly. It pulls from the product pages, policies, and help content you've already connected. Every answer gets a numbered citation pill so shoppers can verify the source without leaving the conversation. UNTUCKit ran a two-month A/B test against their prior search tool and saw a 17.1% CVR lift and 21.3% more revenue per searcher. Kilte saw a 21.7% conversion rate lift vs. Shopify's default search.

Best for: Ecommerce teams whose CVR problem is shoppers who type a question, hit a dead-end results page, and abandon - and who want search and pre-purchase Q&A on one bill instead of two separate vendor contracts.

Pricing: $25/month base (2,500 searches and 250 conversational messages included). $0.01 per additional search, $0.10 per additional message.

Pros:

• There are no synonym lists or pin-by-pin query rules to build and maintain. The semantic layer closes the vocabulary gap between how shoppers describe a product and how the catalog names it.

Cons:

• Limited personalization today.
• No site-wide merchandising.
• Not an API-first developer platform.
• Analytics focus on search + CVR metrics, not shopper-behavior drop-off reasons.
• Smaller third-party integration marketplace than enterprise incumbents like Algolia.
• Less brand recognition than Algolia or Bloomreach.

Verdict: Pick Nobi when descriptive queries keep hitting dead-end results pages and you want verifiable, cited answers without adding another vendor contract. Skip it when behavioral reranking across category and collection pages is the headline requirement.

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2. Algolia

Algolia is a search API built for engineering teams. Rules, ranking, synonyms, and merchandising all live in code - your engineers own that setup and keep it current as the catalog grows. Response times stay under 50ms at catalog scale, so faceted filtering stays fast even on high-traffic days. Here's the limit: Algolia doesn't include an answer layer. A shopper who types "is this machine-washable?" or "do these run narrow?" gets a results page, not an answer. To cover pre-purchase Q&A on top of Algolia, you need a separate integration built above the API.

Best for: Ecommerce teams with a dedicated search engineer who want full API control over how product attributes factor into ranking and have the developer bandwidth to own that configuration over time.

Pricing: Usage-based on search requests and records indexed. Free/Build tier: 10K searches/mo and 1M records/mo. Pay-as-you-go tiers (Grow, Grow Plus) bill per search request and per record above plan baseline. NeuralSearch (semantic layer) is only in the top-tier Elevate plan - not available in Build, Grow, Grow Plus, or Premium.

Pros:

• NeuralSearch on the Elevate plan adds semantic matching, catching long or descriptive queries that don't match catalog titles word-for-word
• Large ecosystem of InstantSearch widgets, client libraries, and integrations across every major frontend stack

Cons:

• Requires engineering resources to implement and maintain
• Relevance tuning is manual and time-consuming
• Pricing scales aggressively with query volume

Verdict: Pick Algolia when your team has a dedicated search engineer who wants full API control over ranking and can own that configuration long-term. Skip it when you need an answer layer for shopper questions, or when months of engineering setup isn't on the table.

3. Fast Simon

Fast Simon is a Shopify-focused toolkit that pairs AI-assisted search with visual merchandising and product recommendations in one dashboard. For a marketing manager who runs the storefront month to month, that combination has a practical upside: seasonal campaigns, gift guides, and collection refreshes can go live without an engineering ticket. Pinning, boosting, and layout controls all sit on one screen your team can work from every day. The gap shows up on descriptive queries. Fast Simon's merchandising layer is stronger than its language understanding, so a search like "lightweight rain jacket for trail running" won't resolve as crisply as a shopper expects.

Best for: Shopify marketing teams whose CVR bottleneck is how collections are presented - seasonal edits, campaign capsules, gift guides - rather than how search handles long, descriptive queries.

Pricing: Shopify App Store tiered pricing (verified 2026-05). Starter plan (free, 100 sessions/mo), then paid tiers: entry at $39.99/mo, Essential at $99.99/mo, Top Pro at $299.99/mo. Scales by monthly session volume.

Pros:

• App Store install gets a store live in days rather than months
• Seasonal edits, campaign capsules, and collection layouts are all manageable from one dashboard - your marketing team can make changes without waiting on dev
• Pricing is published on the App Store with a free entry tier, so you know what you'll pay before committing

Cons:

• Primary strength is visual merchandising and collection curation; search personalization is a secondary strength
• Lighter on personalization than AI-native engines

Verdict: Pick Fast Simon when visual collection curation is your main discovery bottleneck and shoppers mostly browse by category; skip it if a high zero-result rate on natural-language queries is where you're losing sales.

4. Constructor

Constructor reorders search results, category pages, browse pages, and product recommendations in real time based on what each shopper clicks, views, and adds to cart during their visit. Constructor carries the same behavioral signals across search results, category pages, browse, and recommendations - not just the search bar. A merch team can curate collections, reorder category pages, and tune PDP recommendations from one place - no separate project for each. Revenue-share pricing with no published rate means costs climb in lockstep with GMV, rollout runs weeks to months, and keeping the ranker sharp after launch takes a data team on hand.

Best for: Large-volume retailers with an internal data team whose merchandising workload spans category, collection, browse, and search - and where real-time behavioral personalization is the headline requirement.

Pricing: Revenue-share model. Costs scale with GMV.

Pros:

• Built-in A/B testing lets the team measure which ranking change actually moved CVR on a specific query or category page

Cons:

• Revenue-share pricing model can create surprise costs
• Enterprise sales cycle

Verdict: Pick Constructor when full-site behavioral personalization and real-time reranking are the headline requirements and you have a data team to keep the ranker sharp; skip it when you need pricing you can model before signing or a grounded answer engine for pre-purchase shopper questions.

Which Athos Commerce alternative is right for your ecommerce stack?

Revenue-share pricing and a multi-month rollout make sense when full-site personalization is the requirement. When it isn't, the right tool depends on the specific CVR problem you're solving. Shoppers who type descriptive questions and land on dead-end results pages need a different fix than shoppers who browse collection pages and don't convert.

Nobi is the pick when search and pre-purchase Q&A belong on the same bill. It starts at $25/month and answers sizing, material, and policy questions from your connected content - no second vendor required to handle what the results page can't. UNTUCKit ran a two-month A/B test and saw a +17.1% CVR lift. Lucchese attributed $1M+ in year-one incremental revenue. The real limit: Nobi curates the search results page, not category or collection pages across the broader site.

Algolia is the pick when a dedicated search engineer wants full API control over how products rank. Sub-50ms response times hold at catalog scale; NeuralSearch on the Elevate plan adds semantic matching for long or descriptive queries. The cost is real - your engineer owns the configuration and keeps it current as the catalog grows. Marketing teams shouldn't be driving this one.

Fast Simon is the pick when the bottleneck is how collections are presented, not how search reads natural-language queries. Pricing starts at $39.99/month on the App Store, and seasonal edits and gift guides go live without a developer ticket.

Constructor is the pick when personalization needs to span category, browse, and search - and you have a data team to keep it sharp. Revenue-share pricing means costs scale with GMV, and rollout takes months.

Before committing, pull your zero-result rate and top null-result queries from your search analytics. Those two numbers tell you whether vocabulary mismatch or collection presentation is the actual leak - and that points you at the right tool.

Frequently asked questions

Is Klevu now part of Athos Commerce?

Yes. Klevu, Searchspring, and Intelligent Reach are all divisions of Athos Commerce following their 2025 consolidation. They continue to sell as separate products with separate contracts, separate pricing, and separate integrations - there is no single unified platform underneath.

What's the difference between Klevu and Searchspring under Athos?

Klevu is AI-powered search built around semantic matching with a no-code merchandising dashboard, strongest on Shopify. Searchspring is a mid-market tool with a more rule-based approach and a strong audit trail for merchandising decisions, available for Shopify and BigCommerce. Both are Athos Commerce divisions now, and their overlap means there is limited strategic reason to shortlist both.

Do I need a developer to switch to one of these alternatives?

It depends on the tool. Fast Simon and Nobi go live fastest - Fast Simon via the Shopify App Store in days, Nobi with a small theme tweak. Algolia requires a dedicated engineering team to implement and maintain; Constructor requires a data team to feed its behavioral ranker and keep it sharp after launch.

Can any of these tools answer "do these run narrow?" rather than just returning a results page?

Nobi is built specifically for this: it answers natural-language pre-purchase questions with inline citations from your connected content - product pages, policy docs, PDFs, help-center articles. Algolia, Fast Simon, and Constructor all return results pages for these queries by default; adding an answer layer on top requires a separate integration project.

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If your zero-result rate is climbing and you want search and pre-purchase Q&A on one bill, start a free Nobi trial - it goes live with a small theme tweak, no implementation project required.

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