Growthspace vs Boon Health
Three of fourteen models named Growthspace first on the direct prompt; one named Boon Health. Growthspace was named by twelve of the fourteen models and Boon Health by eight and Growthspace carries 23 labels and Boon Health 16, 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 coaching platforms page.
By framing
GrowthspaceFirst choices, of fourteen modelsBoon Health
Across every category in the October 2026 Edition, Growthspace and Boon Health were named in the same answer twenty-one times, of the 53 answers naming Growthspace and the 47 naming Boon Health. In those answers Boon Health took the first choice five times and Growthspace four.
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 | | |
Growthspace Boon Health first choice named as an alternative argued againstblank: not namedEach cell is one answer, Growthspace on the left and Boon Health on the right.The direct prompt
Growthspace first, Boon Health an alternative
3 of 14 modelsBoon Health was named in the answer but not as the choice, or not at all.Boon Health first, Growthspace an alternative
1 of 14 modelsGrowthspace was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 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
Boon Health5%#– of 10Growthspace0%#– of 10Growthspace20%#1 of 13Boon Health5%#6 of 13Growthspace2%#7 of 12Boon Health0%#10 of 12What the models said about Growthspace
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Strong reviews (4.8/5 across 249 reviews) but more enterprise-oriented” DeepSeek V4 Flash · paraphrase prompt · soft negative
“If you want a dedicated coaching platform: Go with Growthspace. It's the highest-rated coaching-specific platform” DeepSeek V4 Flash · direct prompt · first choice
“two primary platforms depending on your specific organizational goals: Growthspace and Exec.com” Qwen 3.7 Flash · paraphrase prompt · first choice
“the top digital coaching marketplaces for a mid-sized B2B company are Growthspace and Exec.com” Mistral Small · paraphrase prompt · first choice
What the models said about Boon Health
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Avoid These (Due to Cost)... Usage-based, good but potentially expensive” DeepSeek V4 Flash · budget prompt · hard negative
“Boon is best for mid-market and enterprise companies that want coaching at every level without paying for unused seats” Claude Haiku 4.5 · direct prompt · first choice
“For a mid-sized B2B company (roughly 500–5,000 employees), Boon stands out as the strongest recommendation.” DeepSeek V4 Flash · paraphrase prompt · first choice
“offers usage-based or credit-based pricing, such as Boon or Exec.com” Llama 4 Maverick · budget 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.