Searchspring vs Luigi's Box
Three of fourteen models named Searchspring first on the direct prompt; zero named Luigi's Box. Searchspring was named by twelve of the fourteen models and Luigi's Box by seven and Searchspring carries 34 labels and Luigi's Box 11, so the shares are not directly comparable.
Named in one category this edition.
Named in one category 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.
By framing
SearchspringFirst choices, of fourteen modelsLuigi's Box
Across every category in the October 2026 Edition, Searchspring and Luigi's Box were named in the same answer twenty times, of the 87 answers naming Searchspring and the 37 naming Luigi's Box. In those answers Luigi's Box took the first choice one time and Searchspring two.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | ||||
| Perplexity Sonar | | |||||
| Grok 4.1 Fast | | | | | ||
| 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 | | | |
Searchspring Luigi's Box first choice named as an alternative argued againstblank: not namedEach cell is one answer, Searchspring on the left and Luigi's Box on the right.The direct prompt
Searchspring first, Luigi's Box not the choice
3 of 14 modelsLuigi's Box was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
6 of 14 modelsThe answer made no first choice from these two in this category.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
Searchspring7%#5 of 13Luigi's Box0%#8 of 13Searchspring8%#4 of 11Luigi's Box2%#8 of 11Searchspring4%#7 of 9Luigi's Box0%#– of 9What the models said about Searchspring
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Searchspring (now part of Athos Commerce): - Red flags: Long onboarding (4+ weeks, sometimes billable during setup).” Grok 4.1 Fast · negative prompt · hard negative
“Avoid mid-market tools like Constructor or Searchspring if budget is the main constraint” Perplexity Sonar · budget prompt · hard negative
“enterprise-focused, custom pricing almost always $1,000+/month” DeepSeek V4 Flash · budget prompt · hard negative
“Searchspring is the standout choice — it's purpose-built for mid-market retailers and B2B commerce” DeepSeek V4 Flash · direct prompt · first choice
“The most B2B-aligned mid-market pick: Searchspring / Klevu under Athos Commerce” Muse Glimmer 30B · paraphrase prompt · first choice
“Searchspring / Athos Commerce is the most cited mid-market fit” Muse Glimmer 30B · direct prompt · first choice
What the models said about Luigi's Box
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“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
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.