# Klevu vs Coveo: which do AI models recommend for ecommerce search, October 2026

GTM AI Recommendation Index, October 2026 Edition, Ecommerce search and merchandising. One of fourteen models named Klevu first on the direct prompt; two named Coveo. Page: https://gtm-ai-index.com/marketing/ecommerce-search-and-merchandising/klevu-vs-coveo/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Klevu | 10% | #3 of 11 | 16% | 43 | 13 of 14 |
| Coveo | 6% | #5 of 11 | 31% | 32 | 13 of 14 |

## The direct prompt, model by model

- Grok 4.1 Fast: klevu first (first choices: Klevu) (alternatives: Algolia, Searchspring)
- Perplexity Sonar: coveo first (first choices: Coveo) (alternatives: Algolia, Bloomreach Discovery, Constructor, Doofinder)
- DeepSeek V4 Flash: coveo first (first choices: Coveo, Searchspring) (alternatives: Algolia, Klevu)
- Gemini 3.5 Flash: neither first, one named (first choices: Hawksearch) (alternatives: Algolia, Klevu, Searchspring)
- Qwen 3.7 Flash: neither first, one named (first choices: BigCommerce) (alternatives: Algolia, Klevu)
- MiniMax M2.5: neither first, one named (first choices: Clerk.io, Searchspring) (alternatives: Experro, Klevu, Nosto)
- GPT-6 Luna: neither first, one named (first choices: Algolia) (alternatives: Coveo, Hawksearch, Klevu)
- Muse Glimmer 30B: neither first, one named (first choices: Searchspring) (alternatives: Clerk.io, Coveo)
- 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
- Kimi K2: neither named (first choices: Algolia, Bloomreach Discovery) (alternatives: Clerk.io, Constructor, Searchspring)
- GLM 4.7 FlashX: neither named (first choices: Shopify Plus with B2B Suite) (alternatives: Algolia, Bloomreach Discovery, Clerk.io, Searchspring)

## What the models said about Klevu

- "Klevu's G2 review sample is very small, so individual complaints—including one about renewal terms—aren't enough to establish a general pattern" (GPT-6 Luna, negative prompt, soft negative)
- "Klevu has less robust analytics and recommendations compared to other tools... may not scale well or support large catalogs" (Claude Haiku 4.5, negative prompt, soft negative)
- "Limited advanced merchandising — Strong on search basics, but users note gaps in complex merchandising features." (DeepSeek V4 Flash, negative prompt, soft negative)
- "Often top for mid-market B2B/B2C hybrids... "Mid-market value champion" with 32% conversion lifts" (Grok 4.1 Fast, direct prompt, first choice)
- "Klevu: Best AI-First Option for Modern B2B ... Klevu is the gold standard" (Gemini 3.5 Flash, paraphrase prompt, first choice)
- "I recommend Klevu as the best onsite product search engine" (Mistral Small, paraphrase prompt, first choice)

## What the models said about Coveo

- "Avoid platforms that aren't ecommerce-native (Coveo is the biggest offender — it's knowledge management repackaged as commerce)." (DeepSeek V4 Flash, negative prompt, hard negative)
- "enterprise-grade solutions like Bloomreach, Constructor.io, or Coveo ... typically require custom contracts running several thousands of dollars per month" (Gemini 3.5 Flash, budget prompt, soft negative)
- "Overkill for pure ecommerce search. Best when you need search across a whole digital ecosystem. Expensive if you only need onsite product search." (DeepSeek V4 Flash, comparative prompt, soft negative)
- "Coveo is the strongest single-platform choice overall because it is explicitly positioned for B2B and complex catalogs" (Perplexity Sonar, direct prompt, first choice)
- "Coveo is the strongest B2B-focused platform in the market." (DeepSeek V4 Flash, direct prompt, first choice)
- "Top Recommendation: Coveo (for complex B2B needs)" (DeepSeek V4 Flash, paraphrase prompt, first choice)

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.