Channeltivity vs PartnerStack
Five of twelve models named Channeltivity first on the direct prompt; two named PartnerStack. Both were named by all twelve models and Channeltivity carries 37 labels and PartnerStack 45, so the shares are not directly comparable.
Named in three 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 partner relationship management page.
By framing
ChanneltivityFirst choices, of twelve modelsPartnerStack
Across every category in the September 2026 Edition, Channeltivity and PartnerStack were named in the same answer sixty-six times, of the 122 answers naming Channeltivity and the 384 naming PartnerStack. In those answers PartnerStack took the first choice five times and Channeltivity twelve.
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 | | |
Channeltivity PartnerStack first choice named as an alternative argued againstblank: not namedEach cell is one answer, Channeltivity on the left and PartnerStack on the right.The direct prompt
Both were the first choice
2 of 12 modelsThe answer named them together, and the judge labeled each a first choice.Channeltivity first, PartnerStack an alternative
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
3 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
PartnerStack7%#3 of 11Channeltivity0%#4 of 11Channeltivity24%#1 of 14PartnerStack4%#5 of 14Channeltivity6%#6 of 10PartnerStack0%#10 of 10What the models said about Channeltivity
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“its pricing is on the higher end of the PRM market, which may be challenging for smaller startups with limited budgets” Claude Haiku 4.5 · budget prompt · soft negative
“A la carte pricing model means costs add up fast ... Limited customization” DeepSeek V4 Flash · negative prompt · soft negative
“Channeltivity | 4.6-4.7 | Structured channel programs with deal reg, MDF, training ... Deep Salesforce/HubSpot integrations, customizable portals, fast setup, strong support” Grok 4.1 Fast · direct prompt · first choice
“Channeltivity | Flexible mid-market needs | ~$1,399/month | Transparent pricing, strong customization” Kimi K2 · scale prompt · first choice
“For most mid-market B2B tech companies, Channeltivity or Allbound are frequently recommended” Qwen 3.7 Flash · direct 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. Three of three in this category shown.
“Trustpilot rating of 2.0/5 driven by payout delays, withheld commissions, and sudden account closures” DeepSeek V4 Flash · negative prompt · hard negative
“Trustpilot rating of only 2.0/5 ... Sudden account bans without clear explanations” Mistral Small · negative prompt · hard negative
“It is not built for traditional reseller, distributor, or co-selling channels” Gemini 3.5 Flash · negative prompt · hard negative
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.