The ROI Shop vs ValueCore
Two of fourteen models named The ROI Shop first on the direct prompt; one named ValueCore. The ROI Shop was named by ten of the fourteen models and ValueCore by twelve and The ROI Shop carries 18 labels and ValueCore 26, so the shares are not directly comparable.
Named in one category this edition.
ValueCore
accepted challengerNamed 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 value selling tools page.
By framing
The ROI ShopFirst choices, of fourteen modelsValueCoreAcross every category in the October 2026 Edition, The ROI Shop and ValueCore were named in the same answer thirty-two times, of the 51 answers naming The ROI Shop and the 69 naming ValueCore. In those answers ValueCore took the first choice five times and The ROI Shop six.
Every model, every framing
| Model | DirectVA | ParaphraseVA | ComparativeVA | Budget-constrainedVA | Scale-constrainedVA | NegativeVA |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | VA | |||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | | | | VA | ||
| Perplexity Sonar | VA | VA | VA | |||
| Grok 4.1 Fast | VA | VA | VA | |||
| Mistral Small | VA | | ||||
| DeepSeek V4 Flash | | | ||||
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | VA | ||||
| Kimi K2 | VA | VA | ||||
| GLM 4.7 FlashX | VA | VA | ||||
| MiniMax M2.5 | VA | VA | ||||
| GPT-6 Luna | VA | VA | ||||
| Muse Glimmer 30B | VA |
The ROI ShopVA ValueCore first choice named as an alternative argued againstblank: not namedEach cell is one answer, The ROI Shop on the left and ValueCore on the right.The direct prompt
Both were the first choice
1 of 14 modelsThe answer named them together, and the judge labeled each a first choice.The ROI Shop first, ValueCore not the choice
1 of 14 modelsValueCore was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
10 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
The ROI Shop13%#1 of 11The ROI Shop13%#2 of 10The ROI Shop0%#9 of 11What the models said about The ROI Shop
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Choose Minoa or The ROI Shop ... if you are selling high-contract-value B2B software/services and need a sales-first tool” Gemini 3.5 Flash · budget prompt · first choice
“ValueCore and The ROI Shop are particularly noted for their flexibility and sales-focused features” Mistral Small · paraphrase prompt · first choice
“or The ROI Shop if your immediate pain point is inconsistent messaging across your sales team” Qwen 3.7 Flash · paraphrase prompt · first choice
What the models said about ValueCore
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“ValueCore: Limited functionality/integrations, non-intuitive backend (hard for live meetings), poor multi-offer support.” Grok 4.1 Fast · negative prompt · soft negative
“This is a veteran in ROI modeling... making it a robust choice for mid-sized B2B sales teams that need flexibility and depth in their business cases.” Mistral Small · paraphrase prompt · first choice
“I'd recommend ValueCore (formerly VisualizeROI) as a strong starting point for an ROI calculator and business case platform.” Grok 4.1 Fast · paraphrase prompt · first choice
“I'd recommend ValueCore (formerly VisualizeROI) as the strongest first choice” Perplexity Sonar · paraphrase prompt · first choice
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.