Two of fourteen models named ZoomInfo first on the direct prompt; zero named AlphaSense. ZoomInfo was named by thirteen of the fourteen models and AlphaSense by fourteen and ZoomInfo carries 47 labels and AlphaSense 36, so the shares are not directly comparable.
Vancouver, Washington, United States, founded 2000. Named in twenty-six categories this edition.
Named in two 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 market intelligence platforms page.
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“High Caution: ZoomInfo ... frequent complaints of inaccurate/outdated contact data ... Best avoided if: You're a small team” Grok 4.1 Fast · negative prompt · hard negative
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 enterprise-oriented platforms like Crayon, Klue, or AlphaSense” Perplexity Sonar · budget prompt · hard negative
“Avoid enterprise platforms — Klue, Crayon, AlphaSense, and ZoomInfo” Kimi K2 · budget prompt · hard negative
“Avoid These if Money is Tight: ... AlphaSense (~$12K–$50K+/year)” DeepSeek V4 Flash · budget prompt · hard negative
“Start with established players like AlphaSense, Euromonitor (Passport), or CB Insights that have institutional validation” Kimi K2 · negative prompt · first choice
“My default recommendation is AlphaSense if your team needs to understand markets, competitors, and companies” GPT-6 Luna · paraphrase prompt · first choice
“Choose AlphaSense if your team spends lots of time searching documents and synthesizing research.” GPT-5.4 mini · comparative 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.