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Conversational intelligence and call recording · November 2026 Edition

Fathom vs Outreach Kaia

Zero of fourteen models named Fathom first on the direct prompt; zero named Outreach Kaia. Fathom was named by thirteen of the fourteen models and Outreach Kaia by ten and Fathom carries 29 labels and Outreach Kaia 15, so the shares are not directly comparable.

Fathom

accepted challenger

Named in six categories this edition.

Outreach Kaia

accepted challenger

Named in two categories this edition.

First-choice share5%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate10%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 15; printed, not drawn.
Labels2915A 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 fourteen of the fourteen direct answers. Avoma vs Fathom · Avoma vs Outreach Kaia · Gong vs Fathom

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 conversational intelligence and call recording page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
FathomFirst choices, of fourteen modelsOutreach Kaia
Direct00
Paraphrase01
Comparative00
Budget-constrained30
Scale-constrained00
Negative003 against Fathom
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Fathom and Outreach Kaia stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Fathom Outreach Kaia first choice named as an alternative argued againstblank: not namedEach cell is one answer, Fathom on the left and Outreach Kaia on the right.

The direct prompt

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

Neither was the first choice, one was named

1 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashGong alternatives: Avoma, Chorus by ZoomInfo, Clari Copilot, Outreach Kaia, Salesloft Conversations

Neither was named

13 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Avoma alternatives: Chorus by ZoomInfo, Jiminny
GPT-5.4 miniGong alternatives: Avoma, Chorus by ZoomInfo
Perplexity SonarAvoma alternatives: Chorus by ZoomInfo, Gong, Jiminny
Grok 4.20Avoma alternatives: Fireflies.ai, Jiminny
Mistral SmallJiminny, ZoomInfo alternatives: Avoma, CloudTalk, Dialpad
DeepSeek V4 FlashAvoma alternatives: Aircall, Airspeed, Jiminny
Llama 4 MaverickAvoma
Qwen 3.7 FlashAvoma, exec.ai alternatives: Clari Copilot, Gong
Kimi K2Chorus by ZoomInfo alternatives: Aircall, Avoma, Claap
GLM 4.7 FlashXGong alternatives: Avoma, Chorus by ZoomInfo, Claap, Clari Copilot, Jiminny
MiniMax M2.5Jiminny alternatives: Avoma, Chorus by ZoomInfo, Clari Copilot
GPT-6 LunaGong alternatives: Avoma, Salesloft Conversations
Muse Glimmer 30BAvoma alternatives: Airspeed, Chorus by ZoomInfo, Jiminny

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
Outreach Kaia is not named for this buyer.
Fathom26%#2 of 13
Outreach Kaia—not named
The full small business standing →
Mid-marketThe figures above
Fathom leads by four points.
Fathom5%#6 of 15
Outreach Kaia2%#8 of 15
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Fathom0%#15 of 15
Outreach Kaia0%#9 of 15
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. Six of six in this category shown.

“generally well-liked, but there are repeated user complaints about joining/recording behavior and at least one serious privacy complaint” GPT-5.4 mini · negative prompt · soft negative
“Free or low-cost AI-heavy tools (e.g., Fireflies.ai, Fathom, or similar meeting bots): ... be wary of default data sharing” Grok 4.20 · negative prompt · soft negative
“Fathom, for example, has a five-call-per-month summary cap on its free tier.” Perplexity Sonar · negative prompt · soft negative
“Fathom is probably the best overall choice for most small teams” GPT-5.4 mini · budget prompt · first choice
“Best overall for most limited-budget teams: Fathom Team plan” Grok 4.20 · budget prompt · first choice
“Fathom – Best Overall Value & Generous Tier Capabilities” Gemini 3.5 Flash · budget prompt · first choice

What the models said about Outreach Kaia

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

“I'd suggest starting with ZoomInfo (Chorus) or Outreach if you prioritize B2B-specific intelligence” MiniMax M2.5 · paraphrase prompt · first choice
“Best For: Revenue teams already using Outreach or Salesloft for Sales Engagement (SEP).” Gemini 3.5 Flash · comparative prompt · alternative
“Combines meeting and call intelligence with Outreach's sales workflows.” GPT-6 Luna · comparative prompt · alternative
Also compared

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.