Channelscaler vs PartnerStack
Three of twelve models named Channelscaler first on the direct prompt; zero named PartnerStack. Channelscaler was named by eleven of the twelve models and PartnerStack by nine and Channelscaler carries 29 labels and PartnerStack 11, so the shares are not directly comparable.
San Mateo, United States, founded 2010. Named in two categories this edition.
Named in six categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 channel partner and local marketing page.
By framing
ChannelscalerFirst choices, of twelve modelsPartnerStack
Across every category in the September 2026 Edition, Channelscaler and PartnerStack were named in the same answer sixty-three times, of the 142 answers naming Channelscaler and the 384 naming PartnerStack. In those answers PartnerStack took the first choice six times and Channelscaler one.
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 | |
Channelscaler PartnerStack first choice named as an alternative argued againstblank: not namedEach cell is one answer, Channelscaler on the left and PartnerStack on the right.The direct prompt
Channelscaler first, PartnerStack not the choice
3 of 12 modelsPartnerStack was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
4 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
5 of 12 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
PartnerStack8%#5 of 15Channelscaler2%#11 of 15Channelscaler12%#2 of 9PartnerStack6%#5 of 9Channelscaler4%#5 of 9PartnerStack2%#– of 9What the models said about Channelscaler
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Channelscaler ($50K+/year) are excellent but completely unsuitable for a limited budget” DeepSeek V4 Flash · budget prompt · hard negative
“Best For: High partner adoption and rapid deployment... Implementation takes weeks rather than months, and pricing is highly competitive for mid-market budgets” Gemini 3.5 Flash · direct prompt · first choice
“Allbound (now ChannelScaler) | Quick wins, co-selling + marketing | 4.5-4.6/5 | $20K-$40K/year | Intuitive UX, unlimited users, co-branding, incentives/MDF” Grok 4.1 Fast · direct prompt · first choice
“Channelscaler (previously Allbound) - a good option for mid-market teams that want structured enablement.” Llama 4 Maverick · paraphrase prompt · first choice
What the models said about PartnerStack
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“PartnerStack if you're a B2B software company and want a partner ecosystem platform that's strong on scaling recruitment, management, and payouts” GPT-5.4 mini · 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.