Vitally vs Catalyst
Six of twelve models named Vitally first on the direct prompt; zero named Catalyst. Vitally was named by twelve of the twelve models and Catalyst by eight and Vitally carries 50 labels and Catalyst 14, so the shares are not directly comparable.
Named in two categories 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 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 customer success platforms page.
By framing
VitallyFirst choices, of twelve modelsCatalyst
Across every category in the September 2026 Edition, Vitally and Catalyst were named in the same answer twenty-seven times, of the 133 answers naming Vitally and the 40 naming Catalyst. In those answers Catalyst took the first choice zero times and Vitally 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 | | | |
Vitally Catalyst first choice named as an alternative argued againstblank: not namedEach cell is one answer, Vitally on the left and Catalyst on the right.The direct prompt
Vitally first, Catalyst an alternative
6 of 12 modelsCatalyst 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
2 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
Vitally23%#2 of 10Catalyst2%#8 of 10Vitally0%#6 of 7Catalyst0%#5 of 7What the models said about Vitally
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Avoid pricier options like ... Vitally/ChurnZero (custom, $1K+/month)” Grok 4.1 Fast · budget prompt · hard negative
“What to Avoid on a Budget ... generally not where you should start” DeepSeek V4 Flash · budget prompt · hard negative
“Be Cautious If: You want quick, simple setups and do not have technical resources to manage filtering logic.” Gemini 3.5 Flash · negative prompt · soft negative
“Start with Vitally for most mid-market companies - it offers the best balance of features, pricing, and modern UX” GLM 4.7 FlashX · direct prompt · first choice
“Vitally is the strongest overall choice and the default pick most CS analysts point mid-market teams to first” DeepSeek V4 Flash · paraphrase prompt · first choice
“Vitally — If you want fast time-to-value, modern UX, and strong product analytics integration” Kimi K2 · scale prompt · first choice
What the models said about Catalyst
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“recently merged platforms (Totango/Catalyst) carry the highest risk” Mistral Small · negative prompt · hard negative
“What to Avoid on a Budget ... generally not where you should start” DeepSeek V4 Flash · budget prompt · hard negative
“Vitally, ChurnZero, Catalyst, Custify, Skalin | Highly Recommended.” Gemini 3.5 Flash · scale prompt · first choice
“Totango and Catalyst operate as a unified powerhouse... Best for: Mid-to-enterprise organizations” Gemini 3.5 Flash · comparative prompt · alternative
“Modern UX, strong product velocity; a favorite to replace legacy Gainsight at mid-market.” DeepSeek V4 Flash · direct prompt · alternative
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.