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. 22 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing · first-choice share
59%
Clear leader
59Gong18Avoma18Fireflies.ai05others
59% of first choices, clear leader.
The 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 rateLabelsQuadrantSince September 2026
Show the four products at 0%, ordered by negative rate
07
Salesloft Conversations0%14%14accepted challengernewNew since September 2026: not ranked then, 0% now.
Salesloft Conversations0%14%14accepted challengernewNew since September 2026: not ranked then, 0% now.
The floor is 12 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
Head to head
All six head-to-head pages: the top four products, each against each
One product takes 59% of first choices here, so the chart would put seven markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Three products carry a negative rate above 25% in this category.
What they warned about
Four of six models held their first choice under the paraphrase. Gemini 3.1 Pro and Perplexity Sonar Pro changed. 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.ai85%
11 of 13 labels negative · 6 of 6 models · 4 hard negative
“Otter.ai — the highest-profile risk right now. Four putative class actions filed August–September 2025 ... so this is past the motion-to-dismiss stage, not a nuisance filing.” Claude Opus 5, negative prompt
Gong16%
5 of 32 labels negative · 5 of 6 models · 3 hard negative
“What to avoid on a limited budget... it's built for funded sales orgs: annual contracts only, a platform fee on top of seats” Claude Opus 5, budget prompt
Fireflies.ai33%
8 of 24 labels negative · 5 of 6 models · 2 hard negative
“High for Illinois/biometric-sensitive use | Lawsuits filed beginning in December 2025 allege collection of voiceprints without adequate consent” GPT-5.6 Sol, negative prompt
Fathom38%
6 of 16 labels negative · 5 of 6 models
“described as a strong free meeting note-taker, but not a full revenue-intelligence tool because it lacks deal-risk, coaching workflow, and forecasting” Perplexity Sonar Pro, negative prompt
What they cite
Six of the six models returned a source list in this edition: six return the pages they cited.
Sites the answers cite
34 of 36 answers in this category came back with a source list, from 6 of 6 models: citations where the model returns them, or the search results it consulted. 623 links across 276 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 36 answers across every segment cited this index's own page for the category.
vendor site · Avoma22 answers · 26 citations · 6 models
vendor site · Claap12 answers · 18 citations · 4 models
vendor site · Gong12 answers · 16 citations · 5 models
11 answers · 11 citations · 4 models
vendor site · Cirrus Insight10 answers · 13 citations · 4 models
vendor site · Cresta10 answers · 11 citations · 4 models
vendor site · ZoomInfo10 answers · 11 citations · 3 models
vendor site · AssemblyAI10 answers · 10 citations · 3 models
9 answers · 15 citations · 3 models
vendor site · Clari9 answers · 10 citations · 3 models
vendor site · HeySam9 answers · 10 citations · 4 models
9 answers · 9 citations · 3 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.
11 answers · 4 models
11 answers · 4 models
10 answers · 3 models
10 answers · 4 models
8 answers · 4 models
7 answers · 4 models
6 answers · 3 models
6 answers · 2 models
6 answers · 2 models
5 answers · 3 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best conversation intelligence and call recording platform”, “conversation intelligence and call recording platform”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Gong gong.io | 59% | 361 | 74,000 | 13,361 | 52,787 | $1,556 | 120 | 3 |
| Avoma avoma.com | 18% | 266 | 3,600 | 31 | 19,141 | 27 | 1 | |
| Fireflies.ai fireflies.ai | 18% | 150 | 22,200 | 193 | 69,005 | 120 | ||
| Fathom fathom.ai | 5% | 169 | 90,500 | 6,657 | 44,771 | 24 | ||
| Clari clari.com Clari Copilot 0% | 0% | 260 | 1,000 | 6 | 444,225 company | |||
| ZoomInfo zoominfo.com Chorus by ZoomInfo 0% | 0% | 228 | 135,000 | 1,810 | 6,376,738 company | $1,140 | 120 | |
| Salesloft salesloft.com Salesloft Conversations 0% | 0% | 83 | 18,100 | 445 | 52,058 company | $4,229 | 74 | 1 |
| Jiminny jiminny.com | 0% | 60 | 390 | 5 | 1,008 | 9 | ||
| Observe.AI observe.ai | 0% | 92 | 2,400 | 73 | 4,841 | 3 | ||
| Dialpad dialpad.com | 0% | 80 | 40,500 | 905 | 6,588,510 | $1,842 | 120 | 8 |
Google's top ten for the two searches hold 13 sites; 5 of them are among the sites the models cited here (avoma.com, cresta.com, getmaxiq.com, gong.io, learn.g2.com). The first result for “best conversation intelligence and call recording platform” is avoma.com.
How 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.ShowHide
How 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.
ShowHideModelDirect“What is the best conversation intelligence and call recording platform for a mid-market B2B software company?”Paraphrase“Which call recording and conversation intelligence tool would you recommend to a mid-sized B2B software 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 5GongGongHeldagainst: FathomGongagainst: Fireflies.ai, GrainAvomaagainst: Gong, Otter.ai, Outreach Kaia, Salesloft Conversationsno first choiceagainst: Chorus by ZoomInfo, Clari Copilot, Salesloft Conversationsagainst: Cresta, Neon Mobile, Otter.ai
Five alternatives
Avoma, Clari Copilot, HubSpot Sales Hub, Jiminny, Salesloft ConversationsFour alternatives
Avoma, Chorus by ZoomInfo, Clari Copilot, Salesloft ConversationsSix alternatives
Avoma, CallMiner Eureka, Chorus by ZoomInfo, Clari Copilot, Cresta, Observe.AIFive alternatives
Clari Copilot, Dialpad, Fathom, Fireflies.ai, GrainClaude Opus 4.8Gongagainst: Fathom, Fireflies.ai, Otter.aiGongHeldGongFireflies.aiagainst: Chorus by ZoomInfo, Gongno first choiceagainst: Fireflies.ai, Otter.ai, Read AI
Three alternatives
Chorus by ZoomInfo, Clari Copilot, Salesloft ConversationsFive alternatives
Avoma, Chorus by ZoomInfo, Clari Copilot, Fireflies.ai, Salesloft ConversationsFive alternatives
Avoma, Chorus by ZoomInfo, Clari Copilot, Fireflies.ai, Salesloft ConversationsThree alternatives
Avoma, Claap, FathomGPT-6 AstraGongGongHeldGongFireflies.aiGongagainst: Fireflies.ai, Gong, Otter.ai, Read AI
Two alternatives
Avoma, Clari CopilotTwo alternatives
Avoma, Clari CopilotEleven alternatives
Avoma, CallRail, Chorus by ZoomInfo, Clari Copilot, Dialpad, Fathom, Fireflies.ai, NICE CXone, Outreach Kaia, Salesloft Conversations, Zoom Revenue AcceleratorOne alternative
FathomFour alternatives
Avoma, Clari Copilot, NICE CXone, Zoom Revenue AcceleratorGPT-5.6 SolGongagainst: FathomGongHeldGongFireflies.aiagainst: Avomano first choiceagainst: Clari Copilot, Fathom, Fireflies.ai, Gong, Granola, Otter.ai, Read AI
Four alternatives
Avoma, Clari Copilot, Jiminny, Salesloft ConversationsTwo alternatives
Avoma, Clari CopilotEleven alternatives
Aircall, Avoma, CallRail, Clari Copilot, Dialpad, Fathom, Fireflies.ai, Jiminny, Observe.AI, Outreach Kaia, Salesloft ConversationsOne alternative
FathomGemini 3.1 ProAvoma, GongGongChangedGongagainst: Fireflies.ai, Otter.aiFathomagainst: Chorus by ZoomInfo, GongGongagainst: Fireflies.ai, Otter.aiagainst: Avoma, Fathom, Fireflies.ai, Grain, MeetGeek, Otter.ai, Sembly
Six alternatives
Airspeed, Chorus by ZoomInfo, Clari Copilot, HubSpot Sales Hub, Outreach Kaia, Salesloft ConversationsThree alternatives
Avoma, Chorus by ZoomInfo, Clari CopilotThree alternatives
Avoma, Chorus by ZoomInfo, Clari CopilotFour alternatives
Avoma, Fireflies.ai, Grain, tl;dvSeven alternatives
Avoma, CallMiner Eureka, Chorus by ZoomInfo, Clari Copilot, Cresta, Observe.AI, Salesloft ConversationsPerplexity Sonar ProAvomaGongChangedGongAvoma, Fireflies.aino first choiceagainst: Allego, CallRail, Fathom, Grain, MeetGeek, MindTickle, Observe.AI, Otter.ai, Tidio
Two alternatives
Clari Copilot, GongThree alternatives
Avoma, Cirrus Insight, HubSpot Sales HubTen alternatives
Avoma, Calabrio, CallMiner Eureka, Chorus by ZoomInfo, Cresta, Jiminny, NICE CXone, Observe.AI, Salesloft Conversations, VerintThree alternatives
CloudTalk, JustCall, ScreenAppBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Thirty-six rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Opus 5 | claude-opus-5 | 2026-09-08 12:36 | yes | 39 | 76 s |
| Direct recommendation | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-08 12:36 | yes | 30 | 51 s |
| Direct recommendation | GPT-6 Astra | gpt-6-astra | 2026-09-08 12:38 | yes | 4 | 30 s |
| Direct recommendation | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-08 12:39 | yes | 6 | 61 s |
| Direct recommendation | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-08 12:37 | yes | 7 | 38 s |
| Direct recommendation | Perplexity Sonar Pro | sonar-pro | 2026-09-08 12:37 | yes | 20 | 6 s |
| Paraphrase | Claude Opus 5 | claude-opus-5 | 2026-09-08 12:40 | yes | 29 | 72 s |
| Paraphrase | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-08 12:41 | yes | 36 | 44 s |
| Paraphrase | GPT-6 Astra | gpt-6-astra | 2026-09-08 12:42 | yes | 6 | 28 s |
| Paraphrase | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-08 12:43 | yes | 6 | 44 s |
| Paraphrase | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-08 12:42 | no | 0 | 25 s |
| Paraphrase | Perplexity Sonar Pro | sonar-pro | 2026-09-08 12:41 | yes | 18 | 6 s |
| Comparative | Claude Opus 5 | claude-opus-5 | 2026-09-08 12:44 | yes | 37 | 55 s |
| Comparative | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-08 12:45 | yes | 29 | 84 s |
| Comparative | GPT-6 Astra | gpt-6-astra | 2026-09-08 12:48 | yes | 11 | 72 s |
| Comparative | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-08 12:49 | yes | 12 | 101 s |
| Comparative | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-08 12:46 | yes | 9 | 42 s |
| Comparative | Perplexity Sonar Pro | sonar-pro | 2026-09-08 12:46 | yes | 20 | 16 s |
| Budget constrained | Claude Opus 5 | claude-opus-5 | 2026-09-08 12:50 | yes | 26 | 62 s |
| Budget constrained | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-08 16:08 | yes | 29 | 63 s |
| Budget constrained | GPT-6 Astra | gpt-6-astra | 2026-09-08 12:57 | yes | 4 | 26 s |
| Budget constrained | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-08 12:58 | yes | 3 | 42 s |
| Budget constrained | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-08 12:56 | yes | 8 | 37 s |
| Budget constrained | Perplexity Sonar Pro | sonar-pro | 2026-09-08 12:56 | yes | 20 | 7 s |
| Scale constrained | Claude Opus 5 | claude-opus-5 | 2026-09-08 12:59 | yes | 42 | 89 s |
| Scale constrained | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-08 13:00 | no | 0 | 29 s |
| Scale constrained | GPT-6 Astra | gpt-6-astra | 2026-09-08 13:02 | yes | 7 | 57 s |
| Scale constrained | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-08 13:04 | yes | 7 | 97 s |
| Scale constrained | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-08 13:01 | yes | 9 | 87 s |
| Scale constrained | Perplexity Sonar Pro | sonar-pro | 2026-09-08 13:00 | yes | 20 | 11 s |
| Negative framing | Claude Opus 5 | claude-opus-5 | 2026-09-08 13:06 | yes | 39 | 96 s |
| Negative framing | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-08 13:10 | yes | 41 | 272 s |
| Negative framing | GPT-6 Astra | gpt-6-astra | 2026-09-08 13:12 | yes | 9 | 39 s |
| Negative framing | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-08 13:13 | yes | 7 | 90 s |
| Negative framing | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-08 13:11 | yes | 13 | 36 s |
| Negative framing | Perplexity Sonar Pro | sonar-pro | 2026-09-08 13:11 | yes | 20 | 11 s |
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.
ShowHide
Claude Opus 5
2 of 4 flipped
Claude Opus 4.8
2 of 4 flipped
GPT-6 Astra
1 of 5 flipped
GPT-5.6 Sol
1 of 4 flipped
Gemini 3.1 Pro
2 of 6 flipped
Perplexity Sonar Pro
2 of 4 flipped
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
CallMiner read as CallMiner Eureka
Clari read as Clari Copilot
Clari (Copilot / formerly Wingman) read as Clari Copilot
Clari (Copilot, formerly Wingman) read as Clari Copilot
Genesys read as Genesys Cloud CX
HubSpot's native tooling read as HubSpot Sales Hub
Neon read as Neon Mobile
Outreach read as Outreach Kaia
Salesloft read as Salesloft Conversations
Salesloft (with Conversations) read as Salesloft Conversations
Unresolved, counted raw
None awaiting human review.
Discontinued, still offered
No shut-down product was recommended here.