An OpenCart store owner with 5-50 thousand SKU typically faces a choice of 5 smart-search solutions. From $0 (standard LIKE) to $500+/mo (Algolia). Honest review of each from our integration experience, with real prices, pros/cons, and recommendation for when each is best. We're a vendor of one of these β€” so we'll be transparent about that, but all numbers and competitor evaluations are factual.

TL;DR β€” comparison table

SolutionStart ($/mo)10k SKU ($/mo)OpenCart integrationMultilingual UA/RUContract
OpenCart LIKE$0$0built-inweak (LIKE)β€”
Klevufrom $99$299-499JS-overlaylimitedoften annual
Searchanisefrom $19$59-99JS-snippetlimitedoften annual
Doofinderfrom $29$99-299API + JS-layergoodmonthly
Algoliafrom $500custom quoteAPI-only (DIY)goodoften annual
AI Search v1.0.5$0 / $12$29native moduleexcellent (e5)monthly
ℹ️
Disclaimer: Klevu, Searchanise, Doofinder, Algolia prices come from public plans and review sites as of May 2026. Prices may vary by commercial offer.

1. Standard OpenCart LIKE search

Price: free (built into OpenCart 3 and 4).

How it works: SQL WHERE LOWER(pd.name) LIKE '%query%' OR LOWER(pd.description) LIKE '%query%'. No morphology, fuzzy matching, synonym dictionaries, or ranking.

βœ…
Pros: free, no external dependency, works offline.
❌
Cons: 15-30% queries return 0 results despite product existing, slow on 10k+ SKU (~500-2000ms), no relevance ranking.

Best for: stores under 100 SKU with English catalogs. On larger catalogs loses money β€” see our "Why OpenCart search doesn't find products".

2. Klevu

Price: from $99/mo (Starter), typical $299/mo (Pro), Enterprise from $499+/mo. Smart Category, Smart Recommend β€” separate.

How it works: Cloud SaaS with proprietary model on e-commerce data. OpenCart integration is JS-overlay over the existing search.

βœ…
Pros: high relevance (~94% top-3 on EN electronics), advanced merchandising, recommendations engine, full BI analytics.
❌
Cons: most expensive for SMB, JS-overlay, often annual contract, weak multilingual UA/RU/PL.

Best for: enterprise stores $500k+/mo with merchandiser team on US/UK English catalog. Deep dive in "AI Search vs Klevu".

3. Searchanise / Searchspring

Price: Plus $19-29/mo, Pro $59-99/mo, Premium $199-299/mo.

How it works: Cloud-hosted JS-widget. 2-minute install β€” JS snippet in footer. In 2021 acquired by Searchspring.

βœ…
Pros: fastest install of SaaS solutions, more affordable than Klevu, merchandising rules, Searchspring ecosystem.
❌
Cons: JS-overlay, limited SEO, depends on their uptime, weak multilingual.

Best for: stores wanting fastest smart-search launch on English catalog. Deeper β€” "AI Search vs Searchanise".

4. Doofinder

Price: Free (up to 200 SKU), Starter $29+/mo, Growth $99/mo, Advanced $299/mo, Enterprise $499+/mo.

How it works: Cloud SaaS focused on SMB. Integration via API + JS-layer. Spanish product, good multilingual support for EU markets.

βœ…
Pros: strong multilingual for UA/RU/PL/ES/DE, monthly contract, Free plan, smart suggestions with UX focus.
❌
Cons: more expensive than AI Search at same volumes (~3Γ— price), JS-layer, OpenCart integration requires API-key + module steps.

Best for: EU stores 1k-10k SKU with good budget. "AI Search vs Doofinder".

5. Algolia

Price: Build (free up to 10k searches/mo), Grow $500+/mo, Premium custom quote ($1000-3000+/mo).

How it works: Cloud search-API. No ready OpenCart module β€” needs your developer to integrate Algolia API via PHP/JS.

βœ…
Pros: fastest SaaS search (~10-50ms via global CDN), powerful merchandising rules, A/B testing, multilingual out of the box.
❌
Cons: most expensive, requires developer time (no plug-and-play OpenCart module), pricing-ladder risks.

Best for: tech-savvy enterprise stores $1M+/mo with own dev team. For most OpenCart stores β€” overkill.

6. AI Search v1.0.5 (ours)

Price: Free $0 (up to 200 SKU), Starter $12 (2k), Business $29 (10k), Pro $79 (50k), Enterprise $199 (unlimited). AI Filters, multilingual, embeddings β€” included in every tier.

How it works: Native OpenCart module via event hooks. Replaces only backend search logic β€” frontend stays your twig, design, URLs. Embedding compute on our GPU servers.

βœ…
Pros: most affordable for SMB, native integration without JS-overlay, multilingual-first model (e5-large) β€” 100+ languages, monthly cancel anytime, faceted filters included, open PHP source code.
❌
Cons: recommendations engine on roadmap (Q3 2026), deep BI analytics weaker than Klevu/Searchspring, no dedicated CSM.

Best for: OpenCart 3 and 4 stores any size on CIS/EU/multi-language market. Case on 30k SKU β€” "isklad.com.ua case study".

How to pick: short decision tree

<200
SKU β†’ AI Search Free / OpenCart LIKE
200-50k
SKU β†’ AI Search ($12-79/mo)
UA/RU/PL
β†’ AI Search or Doofinder
$1M+/mo
+ dev-team β†’ Algolia
  1. Store <200 SKU or just testing: AI Search Free or standard OpenCart LIKE.
  2. Store 200-50,000 SKU on UA/RU/PL/DE market: AI Search (Starter/Business/Pro) β€” best price/quality.
  3. Store $500k+/mo with merchandising team on US market: Klevu or Searchspring.
  4. EU store $200k-1M/mo: Doofinder or AI Search Pro/Enterprise.
  5. Tech enterprise $1M+/mo with dev team: Algolia or Klevu Enterprise.

FAQ

Can I test multiple solutions in parallel?

Yes. Install on dev copy, run 50-100 of your real queries through each. 1-2 hours per setup + 1 hour benchmarking.

How long does migration take?

Migration from Searchanise/Klevu/Doofinder to AI Search β€” 1-2 hours setup + 2 weeks monitoring.

What if I have annual contract with Klevu/Searchspring?

Wait until contract ends, but test AI Search on dev copy in parallel. Quick switch when contract ends.

Solution with AI-recommendations besides Klevu/Searchspring?

Doofinder has smart suggestions, Algolia β€” recommend.js. AI Search recommendations roadmap Q3 2026.

Which is fastest?

Algolia fastest on marketing benchmarks (10-50ms via CDN). AI Search ~200ms on real production 30k SKU. Klevu/Searchanise/Doofinder claim 40-100ms via CDN but no public per-store production benchmarks.

Are recommendations needed for typical store?

Depends on domain. Fashion/electronics/beauty β€” yes (cross-sell critical). Houseware/furniture/general goods β€” less critical.