Two of fourteen models named Algolia first on the direct prompt; two named Constructor. Both were named by all fourteen models and Algolia carries 57 labels and Constructor 42, so the shares are not directly comparable.
Paris, France, founded 2012. Named in two categories this edition.
Named in two categories 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 Constructor were named in the same answer 117 times, of the 189 answers naming Algolia and the 133 naming Constructor. In those answers Constructor took the first choice thirty-two times and Algolia nineteen.
| 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.
“Overkill and expensive ($100s–$1,000s/month); not suitable for limited budgets.” Grok 4.20 · budget prompt · hard negative
“Bloomreach, Coveo, Constructor.io, Google Vertex AI Search for Commerce | SMBs & Mid-Market: ... Avoid them unless you have dedicated merchandising teams” Gemini 3.5 Flash · negative prompt · soft negative
“Constructor — strong product discovery, but ensure the team can handle the learning curve and workflow complexity.” GPT-5.4 mini · negative prompt · soft negative
“Best overall for most mid-market B2B: Constructor — Strongest in AI-driven search, personalization, and merchandising for complex B2B catalogs.” Grok 4.20 · direct prompt · first choice
“My first choice would be Constructor if your buyers see different catalogs, prices, or availability depending on their account.” GPT-6 Luna · paraphrase prompt · first choice
“Luigi's Box and Constructor are top choices due to their B2B-specific features and strong performance.” Mistral Small · 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.