Algolia vs Lily AI
 Algolia |  Lily AI | |
|---|---|---|
| Rating | ⭐ 4.6 / 5 | ⭐ 4.0 / 5 |
| Category | E-commerce | E-commerce |
| Pricing model | Freemium | Paid |
| From | ~0 $ (free Build plan) / usage-based after | Pricing on request (enterprise solution) |
| Ease of use | Advanced | Advanced |
| French interface | Yes | — |
| API | Yes | Yes |
| Website | Visit → | Visit → |
Our verdict: Algolia
Algolia is the best investment for any catalog exceeding 500 SKUs: a good search bar can represent 15-30% of conversions. Technical implementation requires a developer (budget 1-3 days), and costs rise quickly beyond 500,000 queries/month. For Shopify stores without dev resources, prefer Shopify apps like Searchie or Boost Commerce. For headless projects, Algolia is unbeatable.
Our verdict: Lily AI
Lily AI is relevant for fashion and beauty retailers with thousands of poorly tagged SKUs losing conversions due to poor attribute coverage. It's an enterprise solution not suited to typical SMEs: without a catalog exceeding 5,000 SKUs and tech resources for API integration, ROI will be hard to achieve. For SMEs, investing in solid manual attribute entry remains more cost-effective short-term.
We look at what you actually need and tell you which one to set up (or a third that fits better).
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