Two of fourteen models named Algolia first on the direct prompt; two named Klevu. Algolia was named by fourteen of the fourteen models and Klevu by eleven and Algolia carries 57 labels and Klevu 28, so the shares are not directly comparable.
Paris, France, founded 2012. Named in two categories this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the ecommerce search and merchandising page.
Across every category in the November 2026 Edition, Algolia and Klevu were named in the same answer sixty-one times, of the 189 answers naming Algolia and the 70 naming Klevu. In those answers Klevu took the first choice three times and Algolia eleven.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Algolia has a relatively high negative sentiment share (19% of labels negative) and is criticized for its consumption-based pricing model” Mistral Small · negative prompt · hard negative
“Algolia — High risk on pricing, support ... If you're a small-to-mid-size retailer with variable traffic, this is a genuine risk.” DeepSeek V4 Flash · negative prompt · soft negative
“Charging is per keystroke/request, which can balloon costs as traffic grows. It's developer-heavy — not for non-technical teams.” DeepSeek V4 Flash · budget prompt · soft negative
“Algolia is recognized as the best overall ecommerce search engine for fast, AI-driven search with deep developer flexibility and strong analytics.” Claude Haiku 4.5 · comparative prompt · first choice
“Request demos from 3-4 vendors that match your profile (likely Algolia, Constructor, Luigi's Box, and one other)” Kimi K2 · scale prompt · first choice
“Choose Algolia if you have strong dev resources and want maximum flexibility with fast implementation” Kimi K2 · comparative prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Enterprise tools like Klevu, Searchspring, or Constructor: Overkill and expensive” Grok 4.20 · budget prompt · hard negative
“Klevu — can be strong, but pricing/ops fit may vary, and you should test merchandising UX deeply.” GPT-5.4 mini · negative prompt · soft negative
“The combined cost can escalate quickly and becomes significantly higher than competitors” Qwen 3.7 Flash · negative prompt · soft negative
“Klevu is an ecommerce search and navigation platform built for mid-market brands... It provides fast setup, AI-enhanced semantic search, self-service merchandising” Claude Haiku 4.5 · direct prompt · first choice
“Start with Hawksearch or Klevu if you want a balance of ease-of-use, B2B-specific features, reasonable pricing, and quick implementation” Claude Haiku 4.5 · paraphrase prompt · first choice
“Klevu (now part of Athos Commerce) ⭐ *Best Overall for Mid-Market*” Kimi K2 · direct prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.