# Algolia vs Luigi's Box: which do AI models recommend for ecommerce search, October 2026

GTM AI Recommendation Index, October 2026 Edition, Ecommerce search and merchandising. Two of fourteen models named Algolia first on the direct prompt; zero named Luigi's Box. Page: https://gtm-ai-index.com/marketing/ecommerce-search-and-merchandising/algolia-vs-luigi-s-box/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Algolia | 25% | #1 of 11 | 19% | 63 | 14 of 14 |
| Luigi's Box | 2% | #8 of 11 | 0% | 11 | 7 of 14 |

## The direct prompt, model by model

- Kimi K2: algolia first (first choices: Algolia, Bloomreach Discovery) (alternatives: Clerk.io, Constructor, Searchspring)
- GPT-6 Luna: algolia first (first choices: Algolia) (alternatives: Coveo, Hawksearch, Klevu)
- Gemini 3.5 Flash: neither first, one named (first choices: Hawksearch) (alternatives: Algolia, Klevu, Searchspring)
- Perplexity Sonar: neither first, one named (first choices: Coveo) (alternatives: Algolia, Bloomreach Discovery, Constructor, Doofinder)
- Grok 4.1 Fast: neither first, one named (first choices: Klevu) (alternatives: Algolia, Searchspring)
- DeepSeek V4 Flash: neither first, one named (first choices: Coveo, Searchspring) (alternatives: Algolia, Klevu)
- Qwen 3.7 Flash: neither first, one named (first choices: BigCommerce) (alternatives: Algolia, Klevu)
- GLM 4.7 FlashX: neither first, one named (first choices: Shopify Plus with B2B Suite) (alternatives: Algolia, Bloomreach Discovery, Clerk.io, Searchspring)
- Claude Haiku 4.5: neither named (first choices: BigCommerce B2B Edition) (alternatives: Bloomreach Discovery, Nosto, OroCommerce, Searchspring)
- GPT-5.4 mini: neither named (first choices: Hawksearch) (alternatives: BigCommerce, Bloomreach Discovery, Constructor)
- Mistral Small: neither named (first choices: Experro) (alternatives: Clerk.io, Hawksearch)
- Llama 4 Maverick: neither named
- MiniMax M2.5: neither named (first choices: Clerk.io, Searchspring) (alternatives: Experro, Klevu, Nosto)
- Muse Glimmer 30B: neither named (first choices: Searchspring) (alternatives: Clerk.io, Coveo)

## What the models said about Algolia

- "Be terrified of consumption-based pricing (Algolia and Coveo both have "cliff" pricing models that blow up as you grow)." (DeepSeek V4 Flash, negative prompt, hard negative)
- "What to avoid on a limited budget: Algolia — starts free but escalates quickly into $300–$500+/month" (DeepSeek V4 Flash, budget prompt, hard negative)
- "Algolia draws setup-complexity, cost, and support complaints... It is risky if you want predictable pricing and merchandiser-owned tooling without engineering tickets." (Muse Glimmer 30B, negative prompt, soft negative)
- "Algolia combines keyword and vector search within a unified engine, delivering typo-tolerant, semantic results with sub-second response times" (Claude Haiku 4.5, comparative prompt, first choice)
- "Best known for speed, developer friendliness, and API-first flexibility... If you want fast implementation + strong APIs: Algolia" (GPT-5.4 mini, comparative prompt, first choice)
- "*Algolia:* Known for blazing-fast speed, excellent developer documentation, and growing AI features. Excellent for headless setups." (Gemini 3.5 Flash, scale prompt, first choice)

## What the models said about Luigi's Box

- "the best ecommerce search and merchandising platform for a company with a limited budget is Luigi's Box" (Llama 4 Maverick, budget prompt, first choice)
- "High-rated alternatives like Algolia, Klevu, Clerk.io, Luigi's Box, or Fast Simon score well on G2" (Grok 4.1 Fast, negative prompt, alternative)
- "Luigi's Box | Merchandising-led teams wanting strong relevance tuning" (DeepSeek V4 Flash, scale prompt, alternative)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.