MBA vs Klevu AI Search & Discovery
Category-leading AI on-site search and visual merchandising (now part of Athos Commerce), sold as premium $449-$649/month modules, where recommendations are behavioral widgets rather than inspectable co-purchase math.
When MBA wins
You want inspectable co-purchase math (support/confidence/lift per rule), margin-aware ranking, real catalog bundles, and agent-callable MCP tools, on flat pricing with a free WooCommerce tier, and you treat search as a separate, already-solved layer.
When Klevu AI Search & Discovery wins
Your primary problem is on-site search relevance or polished visual merchandising for an established storefront, and you want a mature, category-leading product with a 3,000+ brand install base and deep A/B and campaign tooling.
Feature comparison
Color-striped rows favor MBA, Klevu AI Search & Discovery, or are even. We mark each so you can scan for the trade-offs that matter to you.
| Feature | MBA | Klevu AI Search & Discovery |
|---|---|---|
| On-site search | MBA does not ship a search engine. It re-ranks and adds recommendations; search is your existing engine (Shopify Search & Discovery, Magento ElasticSearch, or Klevu itself). | Best-in-class, self-learning AI search: autocomplete, NLP/semantic matching, typo tolerance, synonyms, no-results recovery. This is Klevu's core competency and reputation. |
| Visual merchandising UX | Configurable engines and thresholds, bulk Opportunities actions, name+SKU grids, live mining progress. Functional, but not a drag-and-drop campaign builder. | Mature drag-and-drop merchandising dashboard with campaign scheduling and A/B + multivariate testing on category pages. Deeper and more polished than MBA here. |
| Recommendation logic transparency | Six mining engines (sql_pairs, fp_growth default, seasonal_cohort, return_aware, hui, ai_catalog), plus a co_occurrence fallback emit explainable support, confidence, and lift per rule, with synthetic-vs-observed badging the merchandiser can inspect and override. | Behavioral engine: collaborative filtering plus clickstream signals surfaced through templates (frequently bought together, also-viewed). Confidence scores exist, but per-rule support/confidence/lift is not exposed as an audit surface. |
| Profit-aware ranking | The hui (High-Utility Itemset) engine ranks by margin contribution, with Opportunities tiers (Top / High-Margin / Emerging / Underperforming Attach). | Merchants can manually boost high-margin or seasonal items via merchandising rules, but there is no automatic margin-weighted recommendation ranking surfaced as an engine. |
| Real bundle / kit creation | Creates actual catalog bundle SKUs with pricing strategy, AI-generated copy, and a draft-to-live lifecycle plus attribution, pushed to the platform's native bundle product. | Renders recommendation impression widgets (frequently-bought-together), not merchandisable bundle products with their own SKU and pricing. |
| Agent-native / MCP integration | Exposes recommendations, substitutes, and basket analysis via a public REST API and a 19-tool MCP server (18 off Shopify) callable from any MCP host, plus ACP agentic-commerce endpoints. | No MCP server, ACP, or public agent-callable recommendation API found. The adjacent agentic effort in Klevu's orbit (Kleio) is a separate company. |
| Data residency / model choice | Mining runs locally inside Magento and WooCommerce installs; AI is bring-your-own-key direct to your provider (default claude-haiku-4-5 / gpt-4o-mini, selectable up to claude-opus-4-8 / claude-sonnet-4-6 / gpt-4.1). OroCommerce is a thin hosted client that proxies mining to the hosted backend. | Data is processed in the Klevu / Athos SaaS cloud, with no bring-your-own-LLM-key option. Standard managed-SaaS model. |
| B2B depth | B2B-aware mining on OroCommerce (per-organization context, cross-store insights), reorder-prediction data through the REST API, and a recommendation API for building custom B2B flows. | B2B is search-experience focused: AI search tuned for B2B catalogs, bulk/call-for-pricing display, attribute filtering. No quote-bundle or reorder-prediction surface. |
| Maturity, install base, references | Early-stage, pending listing on most platforms. Case studies are being assembled from beta merchants. | 3,000+ brands including Puma, Yamaha, Callaway, and ColourPop; 4.9/5 on Shopify, BigCommerce Elite Partner, global support footprint and proven conversion-lift case studies. |
| Product feed syndication | GMC XML, Meta CSV, and TikTok CSV feeds. | 1,400+ channel syndication via the Intelligent Reach capability folded into Athos. Much broader feed reach. |
| Pricing accessibility | Free $0 tier, Plus $99/mo flat (or ~$79/mo on annual). No GMV or revenue share, no usage metering. | Transparent on Shopify (rare for the category) but premium: $449-$649/mo per module, quote-based and $1,000-$1,600+/mo off-Shopify, with no free tier. |
Pricing snapshot
MarketBasketAnalysis
Flat, transparent plan pricing: Free ($0) and Plus $99/mo flat (or ~$79/mo on annual). One paid plan, everything in it. These are product plans, not per-platform prices, and the same plans apply across every platform. Metered on capability and compute, never on GMV. No revenue share, no add-ons.
See plansKlevu AI Search & Discovery
Module-based SaaS billed monthly, scaled by request/impression volume. Shopify App Store lists three separately-purchased modules: Recommendations $449/mo (500K impressions), Category Merchandising $549/mo (250K category views), Site Search $649/mo (50K search requests), each with a 14-day trial. Off-Shopify (BigCommerce, Adobe Commerce, Salesforce) is quote-based, with combined mid-market deployments commonly $1,000-$1,600+/mo. No free tier.
Visit Klevu AI Search & DiscoveryThe honest verdict
Klevu is not really a head-to-head competitor: it is a category-leading AI search and merchandising suite, and MBA does not ship a search engine. If your problem is search relevance or polished merchandising UX, Klevu is the stronger, more mature choice and the two products pair well.
Where they overlap, recommendations, MBA wins on auditability: six selectable mining engines emit support/confidence/lift per rule with synthetic-vs-observed badging, while Klevu's behavioral engine surfaces recommendations through templates without a per-rule audit surface.
MBA also wins on margin-aware ranking (the hui engine), real catalog bundle creation, B2B-aware mining on OroCommerce, and agent-native surfaces: a public REST API, a 19-tool MCP server (18 off Shopify) callable from any MCP host, and ACP endpoints that Klevu does not offer.
Klevu wins decisively on maturity, brand scale (3,000+ brands), feed syndication breadth (1,400+ channels), and merchandising polish (drag-and-drop, campaign scheduling, A/B testing). MBA is early-stage by comparison.
Honest recommendation: pair them. Run Klevu for search and visual merchandising; layer MBA for inspectable co-purchase math, profit-aware bundles, and agent-readiness, at a fraction of the price (free $0 tier and $99 Plus vs $449-$649+/mo modules).
Want the full buyer's deep-dive?
This page is the per-vendor short version. For the long version, read “MBA vs Bloomreach” (8 pages on the enterprise-vs-mid-market trade-off) or “MBA vs the widget cluster” (4 pages of pricing math vs Glood, Rebuy, and PickyStory).
Try MBA on your own store
14-day money-back guarantee on all paid platforms. WP.org free tier on WooCommerce. No credit card required for the free path.