Ecommerce search and merchandising · November 2026 Edition
Klevu vs Bloomreach Discovery
Two of fourteen models named Klevu first on the direct prompt; zero named Bloomreach Discovery. Klevu was named by eleven of the fourteen models and Bloomreach Discovery by fourteen and Klevu carries 28 labels and Bloomreach Discovery 44, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
First-choice share6%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate21%16%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 14; printed, not drawn.
Labels2844A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Klevu reading right to left. Rank and label count are printed, not drawn.Luigi's Box was named alongside these two in nine of the fourteen direct answers. Algolia vs Klevu · Algolia vs Bloomreach Discovery · Luigi's Box vs Klevu
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.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
KlevuFirst choices, of fourteen modelsBloomreach Discovery
Direct20
Paraphrase111 against Bloomreach Discovery
Comparative00
Budget-constrained001 against Klevu
Scale-constrained011 against Bloomreach Discovery
Negative005 against Klevu · 5 against Bloomreach Discovery
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Across every category in the November 2026 Edition, Klevu and Bloomreach Discovery were named in the same answer forty-two times, of the 70 answers naming Klevu and the 139 naming Bloomreach Discovery. In those answers Bloomreach Discovery took the first choice five times and Klevu three.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Klevu and Bloomreach Discovery stood in it.
| 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 | | |
Klevu Bloomreach Discovery first choice named as an alternative argued againstblank: not namedEach cell is one answer, Klevu on the left and Bloomreach Discovery on the right.The direct prompt
The plain question, one answer per model, grouped by where Klevu and Bloomreach Discovery stood in it.
Klevu first, Bloomreach Discovery an alternative
2 of 14 modelsBloomreach Discovery was named in the answer but not as the choice, or not at all.Claude Haiku 4.5Klevu alternatives: BigCommerce, Bloomreach Discovery, Nosto, Searchspring
Kimi K2Klevu alternatives: Algolia, Athos Commerce, Bloomreach Discovery
Neither was the first choice, one was named
8 of 14 modelsThe answer put something else first and named one of the two as an alternative.GPT-5.4 miniAlgolia alternatives: Adobe Commerce, Bloomreach Discovery, Salesforce B2B Commerce, Searchspring
Gemini 3.5 FlashHawksearch alternatives: Algolia, Bloomreach Discovery, Coveo for Commerce, Klevu
Grok 4.20Constructor alternatives: Algolia, Athos Commerce, Bloomreach Discovery, Luigi's Box
DeepSeek V4 FlashLuigi's Box alternatives: Athos Commerce, Hawksearch, Klevu
Llama 4 MaverickLuigi's Box alternatives: Athos Commerce, Bloomreach Discovery, Clerk.io, Constructor
Qwen 3.7 FlashLuigi's Box alternatives: Algolia, Bloomreach Discovery, Hawksearch
GPT-6 LunaAlgolia alternatives: Constructor, Klevu, Searchspring
Muse Glimmer 30BLuigi's Box alternatives: Bloomreach Discovery, Constructor, Hawksearch
Neither was named
4 of 14 modelsThe answer made no first choice from these two in this category.Perplexity SonarLuigi's Box alternatives: Coveo for Commerce, Hawksearch
Mistral SmallConstructor, Luigi's Box alternatives: Clerk.io, Coveo for Commerce, Hawksearch
GLM 4.7 FlashXAthos Commerce alternatives: Algolia, Constructor, Luigi's Box
MiniMax M2.5Luigi's Box alternatives: Athos Commerce, Clerk.io, Hawksearch
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.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Klevu leads by two points.
Klevu2%#9 of 15Bloomreach Discovery0%#15 of 15Mid-marketThe figures above
Klevu leads by two points.
Klevu6%#6 of 14Bloomreach Discovery4%#8 of 14Enterprise
The order flips: Bloomreach Discovery leads at enterprise.
Bloomreach Discovery19%#3 of 10Klevu2%#6 of 10What the models said about Klevu
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
What the models said about Bloomreach Discovery
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Platforms to Approach with Caution or Potentially Avoid - Bloomreach Discovery ... Frequently criticized for high costs relative to results” Grok 4.20 · negative prompt · hard negative
“criticized for being complex and costly for mid-market or smaller retailers” Mistral Small · negative prompt · hard negative
“SMBs & Mid-Market: These platforms carry steep annual contract minimums ... Avoid them unless you have dedicated merchandising teams” Gemini 3.5 Flash · negative prompt · soft negative
“Algolia or Bloomreach Discovery are top choices due to their robust features, scalability, and AI capabilities” Mistral Small · paraphrase prompt · first choice
“Want fastest time-to-value and strong merchandising team empowerment? → Constructor, Bloomreach, or Nosto.” Grok 4.20 · scale prompt · first choice
“Best AI-Powered Visual Merchandising... Trade-off: Enterprise-oriented pricing structure; may be over-engineered for smaller mid-market businesses.” Gemini 3.5 Flash · direct prompt · alternative
Also compared
Algolia vs KlevuAlgolia vs Bloomreach DiscoveryLuigi's Box vs KlevuLuigi's Box vs Bloomreach DiscoveryDoofinder vs KlevuDoofinder vs Bloomreach DiscoveryConstructor vs KlevuConstructor vs Bloomreach DiscoveryHawksearch vs KlevuHawksearch vs Bloomreach DiscoveryKlevu vs SearchaniseSearchanise vs Bloomreach DiscoveryAll twenty-eight head-to-head pages and the full ecommerce search standing
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.