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Value selling tools · November 2026 Edition

The ROI Shop vs ValueNavigator

Zero of fourteen models named The ROI Shop first on the direct prompt; zero named ValueNavigator. The ROI Shop was named by eleven of the fourteen models and ValueNavigator by nine and The ROI Shop carries 16 labels and ValueNavigator 10, so the shares are not directly comparable.

The ROI Shop

accepted challenger

Named in one category this edition.

ValueNavigator

accepted challenger

Named in one category this edition.

First-choice share8%8%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate12%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#4A position in a field of 13; printed, not drawn.
Labels1610A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, The ROI Shop reading right to left. Rank and label count are printed, not drawn.ValueCore was named alongside these two in eight of the fourteen direct answers. ValueCore vs The ROI Shop · ValueCore vs ValueNavigator · Minoa vs The ROI Shop

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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
The ROI ShopFirst choices, of fourteen modelsValueNavigator
Direct00
Paraphrase33
Comparative002 against The ROI Shop
Budget-constrained10
Scale-constrained01
Negative00
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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where The ROI Shop and ValueNavigator stood in it.
ModelDirectVAParaphraseVAComparativeVABudget-constrainedVAScale-constrainedVANegativeVA
Claude Haiku 4.5VA
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20VA
Mistral SmallVA
DeepSeek V4 FlashVAVA
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashXVA
MiniMax M2.5VA
GPT-6 Luna
Muse Glimmer 30BVA
The ROI ShopVA ValueNavigator first choice named as an alternative argued againstblank: not namedEach cell is one answer, The ROI Shop on the left and ValueNavigator on the right.

The direct prompt

The plain question, one answer per model, grouped by where The ROI Shop and ValueNavigator stood in it.

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashMinoa alternatives: Mediafly, Shark Finesse, The ROI Shop, ValueCore
MiniMax M2.5Ecosystems, ValueSelling Framework alternatives: HubSpot Sales Hub, ValueNavigator, Zebrafi
Muse Glimmer 30BMinoa alternatives: Ecosystems, The ROI Shop, ValueCore

Neither was named

11 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
GPT-5.4 minino first choice
Perplexity SonarValueCore alternatives: Consensus, Cuvama, HubSpot Sales Hub
Grok 4.20ValueCore alternatives: DecisionLink, Ecosystems, Mediafly Value, Minoa, Zebrafi
Mistral SmallValueCore alternatives: Consensus, Mediafly
DeepSeek V4 FlashValueCore alternatives: Symbe
Llama 4 MaverickValueCore
Qwen 3.7 FlashWinWin Solutions alternatives: Outmatch, PandaDoc, Proposify, Seismic
Kimi K2Mediafly Value, Zebrafi alternatives: Cuvama
GLM 4.7 FlashXValueCore alternatives: Cuvama, DealHub, HubSpot Sales Hub, Minoa, Symbe, ValueVisualizer
GPT-6 LunaZoho CRM alternatives: HubSpot Sales Hub

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
The ROI Shop leads by eight points.
The ROI Shop11%#4 of 13
ValueNavigator4%#7 of 13
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
The ROI Shop8%#3 of 13
ValueNavigator8%#4 of 13
The full mid-market standing →
Enterprise
Level: the same share of first choices.
The ROI Shop2%#6 of 13
ValueNavigator2%#9 of 13
The full enterprise standing →

What the models said about The ROI Shop

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.

“faster to deploy but with less governance and limited post-sale functionality” Perplexity Sonar · comparative prompt · soft negative
“A narrower fit if you don't need a full value-selling workflow.” GPT-6 Luna · comparative prompt · soft negative
“If you want reps to own ROI creation with light oversight: The ROI Shop / ValueNavigator — strong governance with field usability.” Muse Glimmer 30B · paraphrase prompt · first choice
“Best Overall for Sales-Led Mid-Market Deals: Minoa or The ROI Shop” Gemini 3.5 Flash · paraphrase prompt · first choice
“The ROI Shop would be the strongest default recommendation” Perplexity Sonar · paraphrase prompt · first choice

What the models said about ValueNavigator

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“If you want reps to own ROI creation with light oversight: The ROI Shop / ValueNavigator — strong governance with field usability.” Muse Glimmer 30B · paraphrase prompt · first choice
“I'd recommend starting with ValueNavigator or LeveragePoint if you need the most defensible business cases” Claude Haiku 4.5 · paraphrase prompt · first choice
“The market leaders in this space right now are Mediafly, Cuvama, and ValueNavigator (ROI Selling)” DeepSeek V4 Flash · scale prompt · first choice
Also compared

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.