HubSpot Service Hub vs Custify
Zero of fourteen models named HubSpot Service Hub first on the direct prompt; zero named Custify. HubSpot Service Hub was named by thirteen of the fourteen models and Custify by thirteen and HubSpot Service Hub carries 36 labels and Custify 34, so the shares are not directly comparable.
By HubSpot, Cambridge, United States, founded 2006. Named in nine categories this edition.
Named in three categories 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 customer success platforms page.
By framing
HubSpot Service HubFirst choices, of fourteen modelsCustify
Across every category in the November 2026 Edition, HubSpot Service Hub and Custify were named in the same answer sixty-three times, of the 330 answers naming HubSpot Service Hub and the 114 naming Custify. In those answers Custify took the first choice twenty-one times and HubSpot Service Hub thirteen.
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 4.20 | | | | | | |
| 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 | | |
HubSpot Service Hub Custify first choice named as an alternative argued againstblank: not namedEach cell is one answer, HubSpot Service Hub on the left and Custify on the right.The direct prompt
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
12 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
Custify31%#1 of 10HubSpot Service Hub15%#3 of 10HubSpot Service Hub11%#3 of 9Custify9%#4 of 9HubSpot Service Hub2%#6 of 9Custify0%#9 of 9What the models said about HubSpot Service Hub
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“multiple Reddit users ranked HubSpot as the worst customer success tool they'd used” DeepSeek V4 Flash · negative prompt · hard negative
“Not a dedicated pure-play CS platform... Lacks advanced health scoring, predictive AI, and sophisticated playbook automation” Qwen 3.7 Flash · comparative prompt · soft negative
“HubSpot Service Hub (Free tier or Starter plan) is generally the best customer success platform for companies with a limited budget.” Grok 4.20 · budget prompt · first choice
“For a company with a limited budget, HubSpot Service Hub is the best default choice” Perplexity Sonar · budget prompt · first choice
What the models said about Custify
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Gainsight and Custify can feel restrictive if you need highly tailored workflows or UI behavior” GPT-5.4 mini · negative prompt · soft negative
“Custify: A customer success platform that offers a free plan and is designed for B2B and SaaS customer success teams.” Llama 4 Maverick · budget prompt · first choice
“Custify is the best overall value for a budget-conscious company with a real (if small) CS operation.” DeepSeek V4 Flash · budget prompt · first choice
“Custify is widely recommended as the best option for budget-conscious teams.” Claude Haiku 4.5 · 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.