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Conversational intelligence and call recording · September 2026 Edition

Fathom vs Gong

Zero of twelve models named Fathom first on the direct prompt; two named Gong. Both were named by all twelve models and Fathom carries 33 labels and Gong 55, so the shares are not directly comparable.

Fathom

accepted challenger

Named in five categories this edition.

Gong

criticized challenger

By Gong.io, Ramat Gan, Israel, founded 2015. Named in eight categories this edition.

First-choice share15%13%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate6%40%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 12; printed, not drawn.
Labels3355A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Fathom reading right to left. Rank and label count are printed, not drawn.Avoma was named alongside these two in eleven of the twelve direct answers. Avoma vs Fathom · Avoma vs Gong

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 conversational intelligence and call recording page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
FathomFirst choices, of twelve modelsGong
Direct025 against Gong
Paraphrase026 against Gong
Comparative110
Budget-constrained706 against Gong
Scale-constrained021 against Gong
Negative012 against Fathom · 4 against Gong
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

The direct prompt

The plain question, one answer per model, grouped by where Fathom and Gong stood in it.

Gong first, Fathom an alternative

2 of 12 modelsFathom was named in the answer but not as the choice, or not at all.
GPT-5.4 miniGong alternatives: Chorus by ZoomInfo, Salesloft Conversations
Grok 4.1 FastGong alternatives: Avoma, Chorus by ZoomInfo, Clari Copilot, Fathom

Neither was the first choice, one was named

5 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarAvoma alternatives: Airspeed, Clari Copilot, Gong, Jiminny
Qwen 3.7 FlashAvoma alternatives: Gong, ZIG
Kimi K2Avoma alternatives: Clari Copilot, Fathom, Jiminny
GLM 4.7 FlashXAvoma alternatives: Fathom, Jiminny
MiniMax M2.5Avoma alternatives: Gong

Neither was named

5 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Avoma alternatives: Airspeed, Clari Copilot, HubSpot's CI
Gemini 3.5 FlashAvoma, Jiminny alternatives: Airspeed, Chorus by ZoomInfo, Clari Copilot
Mistral SmallAvoma alternatives: Coffee, Jiminny
DeepSeek V4 FlashAvoma alternatives: Chorus by ZoomInfo, Fireflies.ai, Jiminny
Llama 4 MaverickAvoma

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Fathom leads by forty points.
Fathom40%#1 of 11
Gong0%#11 of 11
The full small business standing →
Mid-marketThe figures above
Fathom leads by two points.
Fathom15%#2 of 12
Gong13%#3 of 12
The full mid-market standing →
Enterprise
The order flips: Gong leads at enterprise.
Gong74%#1 of 13
Fathom0%#12 of 13
The full enterprise standing →

What the models said about Fathom

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.

“useful as a free note-taker, but the comparison warns it is not a replacement for Gong-level deal risk / revenue intelligence” Perplexity Sonar · negative prompt · soft negative
“Moderate Caution Generally well-regarded but still cloud-based” Kimi K2 · negative prompt · soft negative
“I'd pick Fathom first. It gives you the core value—recording, transcription, summaries, and action items—without the enterprise cost structure” GPT-5.4 mini · budget prompt · first choice
“I'd recommend starting with Fathom (if video meetings are primary) or Coldread (if phone calls are primary)” MiniMax M2.5 · budget prompt · first choice
“the best conversation intelligence and call recording platforms are Fathom and Fireflies.ai” Qwen 3.7 Flash · budget prompt · first choice

What the models said about Gong

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.

“you should generally steer clear of enterprise conversation intelligence (CI) giants like Gong or Chorus (ZoomInfo)” Gemini 3.5 Flash · budget prompt · hard negative
“Platforms to Avoid for Mid-Market ... typically over-built and over-budget below enterprise scale” Kimi K2 · direct prompt · hard negative
“Category Leaders (Revenue & Deal Intelligence): *Gong.io* and *Chorus.ai (by ZoomInfo)*. Best for: Highly sophisticated sales teams focused on deal forecasting” Gemini 3.5 Flash · scale prompt · first choice
Also compared
Avoma vs FathomAvoma vs GongThe full conversation intel standing

Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.