Ecommerce search and merchandising · November 2026 Edition
Doofinder vs Bloomreach Discovery
Zero of fourteen models named Doofinder first on the direct prompt; zero named Bloomreach Discovery. Doofinder was named by thirteen of the fourteen models and Bloomreach Discovery by fourteen and Doofinder carries 31 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 share20%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate16%16%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#8A position in a field of 14; printed, not drawn.
Labels3144A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Doofinder 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 Doofinder · Algolia vs Bloomreach Discovery · Luigi's Box vs Doofinder
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.
DoofinderFirst choices, of fourteen modelsBloomreach Discovery
Direct001 against Doofinder
Paraphrase011 against Doofinder · 1 against Bloomreach Discovery
Comparative00
Budget-constrained100
Scale-constrained011 against Bloomreach Discovery
Negative003 against Doofinder · 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, Doofinder and Bloomreach Discovery were named in the same answer fifty-one times, of the 98 answers naming Doofinder and the 139 naming Bloomreach Discovery. In those answers Bloomreach Discovery took the first choice six times and Doofinder twelve.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Doofinder 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 | | | | |
Doofinder Bloomreach Discovery first choice named as an alternative argued againstblank: not namedEach cell is one answer, Doofinder on the left and Bloomreach Discovery on the right.The direct prompt
The plain question, one answer per model, grouped by where Doofinder and Bloomreach Discovery stood in it.
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.Claude Haiku 4.5Klevu alternatives: BigCommerce, Bloomreach Discovery, Nosto, Searchspring
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
Llama 4 MaverickLuigi's Box alternatives: Athos Commerce, Bloomreach Discovery, Clerk.io, Constructor
Qwen 3.7 FlashLuigi's Box alternatives: Algolia, Bloomreach Discovery, Hawksearch
Kimi K2Klevu alternatives: Algolia, Athos Commerce, Bloomreach Discovery
Muse Glimmer 30BLuigi's Box alternatives: Bloomreach Discovery, Constructor, Hawksearch
Neither was named
6 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
DeepSeek V4 FlashLuigi's Box alternatives: Athos Commerce, Hawksearch, Klevu
GLM 4.7 FlashXAthos Commerce alternatives: Algolia, Constructor, Luigi's Box
MiniMax M2.5Luigi's Box alternatives: Athos Commerce, Clerk.io, Hawksearch
GPT-6 LunaAlgolia alternatives: Constructor, Klevu, Searchspring
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
Doofinder leads by forty points.
Doofinder40%#1 of 15Bloomreach Discovery0%#15 of 15Mid-marketThe figures above
Doofinder leads by sixteen points.
Doofinder20%#3 of 14Bloomreach Discovery4%#8 of 14Enterprise
The order flips: Bloomreach Discovery leads at enterprise.
Bloomreach Discovery19%#3 of 10Doofinder2%#– of 10What the models said about Doofinder
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Query/bill shock ... weak merchandising/personalization/recommendations ... support that drops off after onboarding” Grok 4.20 · negative prompt · hard negative
“reported limitations include shallow personalization and fewer advanced discovery capabilities” Perplexity Sonar · negative prompt · soft negative
“noted for having a relatively high negative sentiment (12%) and is considered a new entrant” Mistral Small · negative prompt · soft negative
“Go with Doofinder if you want an easy, full-featured search and merchandising tool with a minimal learning curve and affordable starting plans.” Gemini 3.5 Flash · budget prompt · first choice
“Start with Doofinder if you can afford roughly $50–$80/month, as it provides the most complete "search + merchandising" toolset.” Qwen 3.7 Flash · budget prompt · first choice
“The best ecommerce search and merchandising platform for a company with a limited budget is Doofinder.” Llama 4 Maverick · budget 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 DoofinderAlgolia vs Bloomreach DiscoveryLuigi's Box vs DoofinderLuigi's Box vs Bloomreach DiscoveryDoofinder vs ConstructorDoofinder vs HawksearchDoofinder vs KlevuDoofinder vs SearchaniseConstructor vs Bloomreach DiscoveryHawksearch vs Bloomreach DiscoveryKlevu vs Bloomreach DiscoverySearchanise 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.