Conversational intelligence and call recording
Asked as “conversation intelligence and call recording platform”, and as “call recording and conversation intelligence tool”, on behalf of a mid-market B2B software company. 46 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
01The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all six models, for a mid-market B2B software company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
Show the six products at 0%, ordered by negative rate
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its vendor page.
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
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12Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative70%
Key
01Avoma52%
Avoma52%02Fathom15%
Fathom15%03Gong13%
Gong13%04Fireflies.ai9%
Fireflies.ai9%05Jiminny7%
Jiminny7%06Chorus by ZoomInfo2%
Chorus by ZoomInfo2%07Clari Copilot0%
Clari Copilot0%08Salesloft Conversations0%
Salesloft Conversations0%09Dialpad0%
Dialpad0%10HubSpot Sales Hub0%
HubSpot Sales Hub0%11CloudTalk0%
CloudTalk0%12Otter.ai0%
Otter.ai0%02What they warned about
A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Otter.ai36%
9 of 25 labels negative · 9 of 6 models · 6 hard negative
“High-Risk Platforms ... Otter.ai – Hit with a federal class action lawsuit in August 2025 alleging it records private conversations to train its AI models without proper consent” GLM 4.7 FlashX, negative prompt
Gong40%
22 of 55 labels negative · 9 of 6 models · 3 hard negative
“you should generally steer clear of enterprise conversation intelligence (CI) giants like **Gong** or **Chorus (ZoomInfo)**” Gemini 3.5 Flash, budget prompt
Fireflies.ai20%
9 of 44 labels negative · 8 of 6 models · 4 hard negative
“**Class action lawsuit (December 2025)**: Alleged biometric voiceprint collection without consent under Illinois BIPA... Cornell, Oxford, and Cambridge have blocked Fireflies bots” MiniMax M2.5, negative prompt
Chorus by ZoomInfo24%
8 of 34 labels negative · 7 of 6 models · 3 hard negative
“you should generally steer clear of enterprise conversation intelligence (CI) giants like **Gong** or **Chorus (ZoomInfo)**” Gemini 3.5 Flash, budget prompt
03What they cite
Citations exist only for the models that return a source list: four of the six in this edition.
Sites the answers cite
22 of 72 answers in this category came back with a source list, from 4 of 6 models: citations where the model returns them, or the search results it consulted. 5 of those lists are Google grounding redirects that name no site and are left out of the counts. 227 links across 106 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 2 models searched through a gateway that returned no source list on this edition.
vendor site · Avoma9 answers · 14 citations · 3 models
vendor site · CloudTalk8 answers · 16 citations · 2 models
vendor site · Guideflow8 answers · 9 citations · 2 models
7 answers · 9 citations · 2 models
vendor site · ZoomInfo7 answers · 8 citations · 2 models
vendor site · AssemblyAI7 answers · 7 citations · 2 models
vendor site · Cirrus Insight6 answers · 7 citations · 2 models
vendor site · Cresta6 answers · 7 citations · 2 models
5 answers · 6 citations · 2 models
vendor site · Enthu.AI5 answers · 5 citations · 2 models
vendor site · Outreach4 answers · 5 citations · 2 models
4 answers · 4 citations · 2 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
7 answers · 2 models
7 answers · 3 models
7 answers · 2 models
6 answers · 2 models
5 answers · 2 models
5 answers · 2 models
4 answers · 2 models
4 answers · 2 models
4 answers · 2 models
4 answers · 2 models
04How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ModelDirect“What is the best conversation intelligence and call recording platform for a mid-market B2B company?”Paraphrase“Which call recording and conversation intelligence tool would you recommend to a mid-sized B2B company?”Comparative“What are the top conversation intelligence and call recording platforms and how do they differ?”Budget-constrained“What is the best conversation intelligence and call recording platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a conversation intelligence and call recording platform. What should we look at?”Negative“Which conversation intelligence and call recording platforms should I avoid or be cautious about?”
Claude Opus 5no first choiceno first choiceno first choiceno first choiceno first choicenothing named
Claude Opus 4.8no first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-6 Astrano first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-5.6 Solno first choiceno first choiceno first choiceno first choiceno first choicenothing named
Gemini 3.1 Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Perplexity Sonar Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
05The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Zero rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|
Noise floor in this category
Flips between the edition run and its calibration repeat. Six prompts per model is a small sample; the index-wide floor is the number to trust.
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
Category-scoped readings
Clari read as Clari Copilot
Clari (formerly Chorus.ai) read as Clari Copilot
HubSpot read as HubSpot Sales Hub
Microsoft (M365 Copilot) read as Microsoft Dynamics 365 Sales
Neon read as Neon Mobile
Outreach read as Outreach Kaia
Outreach (Kaia) read as Outreach Kaia
Salesloft read as Salesloft Conversations
Zoom read as Zoom Revenue Accelerator
Unresolved, counted raw
Agentforce Sales
Call Recorder by Arun Nair
Calliper
Colibri
Conquer
DeepScribe
HubSpot's CI
Krikey
Meet Record
Microsoft Teams AI Transcription
Numi
Outreach + Conversation Intelligence
Plaud Note
Rev
Rewind AI / Limitless
Salesforce HVS / Einstein Conversation Insights
Semafone
TapeACall
TeleCMI
Voibe
VoiceInk
XANT
Discontinued, still offered
No shut-down product was recommended here.