Chorus by ZoomInfo vs Fathom
Zero of twelve models named Chorus by ZoomInfo first on the direct prompt; zero named Fathom. Chorus by ZoomInfo was named by eleven of the twelve models and Fathom by eight and Chorus by ZoomInfo carries 26 labels and Fathom 12, so the shares are not directly comparable.
By ZoomInfo, Vancouver, Washington, United States, founded 2000. Named in six categories this edition.
Named in five 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 sales coaching and training page.
By framing
Chorus by ZoomInfoFirst choices, of twelve modelsFathom
Across every category in the September 2026 Edition, Chorus by ZoomInfo and Fathom were named in the same answer seventy-three times, of the 229 answers naming Chorus by ZoomInfo and the 150 naming Fathom. In those answers Fathom took the first choice twenty-three times and Chorus by ZoomInfo 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 | | |
Chorus by ZoomInfo Fathom first choice named as an alternative argued againstblank: not namedEach cell is one answer, Chorus by ZoomInfo on the left and Fathom on the right.The direct prompt
Neither was the first choice, one was named
3 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
9 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
Fathom13%#2 of 18Chorus by ZoomInfo0%#15 of 18Chorus by ZoomInfo4%#5 of 17Fathom4%#8 of 17Chorus by ZoomInfo0%#12 of 12Fathom0%#– of 12What the models said about Chorus by ZoomInfo
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Expensive, enterprise-only pricing with lock-in contracts and quality issues that have led many teams to switch to Gong.” DeepSeek V4 Flash · negative prompt · hard negative
“Post-call conversation analysis (enterprise B2B) | Chorus (ZoomInfo), Gong” MiniMax M2.5 · scale prompt · first choice
“Real-time call coaching + deal intelligence | Gong or Chorus” Kimi K2 · comparative prompt · first choice
“post-call analysis → Gong/Chorus; readiness → Mindtickle” Grok 4.1 Fast · scale prompt · first choice
What the models said about Fathom
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“AI-generated meeting summaries are sometimes criticized for missing critical context or nuance” Qwen 3.7 Flash · negative prompt · soft 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.