Sales coaching and training for enterprise buyers
Asked as “sales coaching and training platform”, and as “sales onboarding and enablement training tool”, on behalf of an enterprise B2B company. 48 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
46%
Clear leader
46MindTickle15Gong10Seismic Enablement Cloud29others
46% of first choices, clear leader.
Since September 2026▲+4Since September 2026: 41% → 45%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.MindTickle held the lead, +4 points on 41%, inside the 11-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
HubSpot Sales Hub12%Contested↗new leaderNew leader since September 2026: HubSpot Sales Hub (14%) replaces Trainual (18% then, 10% now), 4 points clear, inside the 11-point floor.Standing →Mid-market
MindTickle24%Contested↗new leaderNew leader since September 2026: MindTickle (24%) replaces SalesHood (27% then, 17% now), 7 points clear, inside the 11-point floor.Standing →EnterpriseMindTickle46%Clear leader▲+4Since September 2026: 41% → 45%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This page
HubSpot Sales Hub12%Contested↗new leaderNew leader since September 2026: HubSpot Sales Hub (14%) replaces Trainual (18% then, 10% now), 4 points clear, inside the 11-point floor.Standing →Mid-marketMindTickle24%Contested↗new leaderNew leader since September 2026: MindTickle (24%) replaces SalesHood (27% then, 17% now), 7 points clear, inside the 11-point floor.Standing →EnterpriseMindTickle46%Clear leader▲+4Since September 2026: 41% → 45%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01MindTickle46%13%61endorsed leader▲+4Since September 2026: 41% → 45%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.41% → 45%
MindTickle46%13%61endorsed leader▲+4Since September 2026: 41% → 45%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.41% → 45%02
Gong15%29%49criticized challenger▲+5Since September 2026: 9% → 14%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.9% → 14%
Gong15%29%49criticized challenger▲+5Since September 2026: 9% → 14%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.9% → 14%03
Seismic Enablement Cloud10%26%39criticized challenger▼−5Since September 2026: 17% → 12%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.17% → 12%
Seismic Enablement Cloud10%26%39criticized challenger▼−5Since September 2026: 17% → 12%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.17% → 12%04
Highspot2%26%46criticized challenger▲+1Since September 2026: 2% → 2%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
Highspot2%26%46criticized challenger▲+1Since September 2026: 2% → 2%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%05
Allego2%16%25accepted challenger▼−6Since September 2026: 6% → 0%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 0%
Allego2%16%25accepted challenger▼−6Since September 2026: 6% → 0%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 0%06
SalesHood2%9%11accepted challenger▼−1Since September 2026: 4% → 2%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 2%
SalesHood2%9%11accepted challenger▼−1Since September 2026: 4% → 2%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 2%Show the five products at 0%, ordered by negative rate
11
Second Nature0%27%11criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Second Nature0%27%11criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%09
Chorus by ZoomInfo0%25%20criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Chorus by ZoomInfo0%25%20criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%10
Hyperbound0%20%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Hyperbound0%20%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%07
Showpad Coach0%9%22accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Showpad Coach0%9%22accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%08
Salesloft Conversations0%0%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Salesloft Conversations0%0%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 11 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 is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. 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.
All twenty-one head-to-head pages: the top seven products, each against each
MindTickle vs AvomaMindTickle vs HighspotMindTickle vs SpekitSalesHood vs Showpad CoachSalesHood vs GongSalesHood vs AvomaSalesHood vs HighspotSalesHood vs SpekitShowpad Coach vs GongShowpad Coach vs AvomaShowpad Coach vs HighspotShowpad Coach vs SpekitGong vs AvomaGong vs HighspotGong vs SpekitAvoma vs HighspotAvoma vs SpekitHighspot vs Spekit
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 →
0102030405060708091011Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01MindTickle46%
MindTickle46%02Gong15%
Gong15%03Seismic Enablement Cloud10%
Seismic Enablement Cloud10%04Highspot2%
Highspot2%05Allego2%
Allego2%06SalesHood2%
SalesHood2%07Showpad Coach0%
Showpad Coach0%08Salesloft Conversations0%
Salesloft Conversations0%09Chorus by ZoomInfo0%
Chorus by ZoomInfo0%10Hyperbound0%
Hyperbound0%11Second Nature0%
Second Nature0%What they warned about
Five of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash, GLM 4.7 FlashX, MiniMax M2.5 and GPT-6 Luna 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.
Highspot26%
12 of 46 labels negative · 10 of 14 models · 1 hard negative
“AI role-plays are often unreliable and may produce inconsistent or broken feedback, and content, coaching, and performance data are poorly consolidated across the platform.” Claude Haiku 4.5, negative prompt
Gong29%
14 of 49 labels negative · 9 of 14 models · 1 hard negative
“Anti-recommendations: Avoid Gong/Clari (enterprise complexity/cost)” Muse Glimmer 30B, negative prompt
Seismic Enablement Cloud26%
10 of 39 labels negative · 8 of 14 models
“What to avoid: High-tier, massive revenue enablement suites (e.g., Seismic or Highspot) *unless* you have a fully staffed, dedicated Enablement and Operations team” Gemini 3.5 Flash, negative prompt
MindTickle13%
8 of 61 labels negative · 6 of 14 models
“Without those foundations, teams may invest in the platform expecting behaviour change but end up using mainly its learning and content capabilities.” Claude Haiku 4.5, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
80 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1210 links across 305 sites, every framing counted. Ranked by the number of answers carrying the site or page. 1 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
36 answers · 84 citations · 11 models
vendor site · MindTickle35 answers · 53 citations · 13 models
31 answers · 38 citations · 12 models
vendor site · ZoomInfo25 answers · 40 citations · 11 models
vendor site · Hyperbound25 answers · 39 citations · 10 models
vendor site · Dock24 answers · 31 citations · 11 models
vendor site · PitchMonster23 answers · 26 citations · 9 models
vendor site · Cirrus Insight20 answers · 20 citations · 10 models
vendor site · HubSpot19 answers · 21 citations · 9 models
vendor site · Spekit17 answers · 20 citations · 10 models
17 answers · 17 citations · 10 models
vendor site · Prospeo16 answers · 29 citations · 8 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.
20 answers · 8 models
19 answers · 11 models
17 answers · 10 models
17 answers · 9 models
17 answers · 9 models
16 answers · 9 models
15 answers · 8 models
15 answers · 10 models
15 answers · 8 models
15 answers · 8 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 sales coaching and training platform”, “sales coaching and training 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 |
|---|---|---|---|---|---|---|---|---|
| MindTickle mindtickle.com | 46% | 320 | 2,900 | 60 | 4,413 | 19 | ||
| Gong gong.io | 15% | 534 | 74,000 | 13,361 | 52,787 | $1,556 | 120 | 4 |
| Seismic Learning seismic.com Seismic Enablement Cloud 10%, Seismic Learning 2% | 12% | 77 | 110 | 1 | 35,447 | 36 | ||
| Deelan deelan.ai | 8% | 7 | 5 | |||||
| Spekit spekit.com | 4% | 94 | 1,900 | 15 | 3,062 | $86 | 33 | |
| EasyCoach | 4% | 210 | 0 | |||||
| Highspot highspot.com | 2% | 427 | 14,800 | 255 | 47,379 | 5 | 5 | |
| Allego allego.com | 2% | 146 | 5,400 | 58 | 12,354 | $883 | 29 | |
| SalesHood saleshood.com | 2% | 94 | 720 | 1 | 1,628 | 0 | 3 | |
| Insight7 insight7.io | 2% | 7 |
Google's top ten for the two searches hold 16 sites; 2 of them are among the sites the models cited here (learn.g2.com, pitchmonster.io). The first result for “best sales coaching and training platform” is pitchmonster.io.
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 sales coaching and training platform for an enterprise B2B company?”Paraphrase“Which sales onboarding and enablement training tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade sales coaching and training platforms and how do they differ?”Budget-constrained“What is the best sales coaching and training platform for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a sales coaching and training platform. What should we look at?”Negative“Which sales coaching and training platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Gong, MindTickleMindTickleChangedGongDeelan, EasyCoachno first choiceagainst: Gong, Highspot, MindTickle, Second Nature, Seismic Enablement Cloud
Three alternatives
Highspot, Seismic Enablement Cloud, Showpad CoachTwo alternatives
Highspot, Seismic Enablement CloudFour alternatives
Hyperbound, MindTickle, Revenue.io, Whatfix MirrorTwo alternatives
MindTickle, Seismic Enablement CloudGPT-5.4 miniMindTickleMindTickleHeldAllego, GongSeismic Learningagainst: SalesHoodno first choicenothing named
Three alternatives
Allego, Gong, Showpad CoachThree alternatives
Highspot, Seismic Enablement Cloud, Showpad CoachFive alternatives
Highspot, Outreach Kaia, SalesHood, Salesloft Conversations, Seismic Enablement CloudThree alternatives
Challenger, Lessonly, Sandler TrainingGemini 3.5 FlashMindTickle, Seismic Enablement CloudMindTickle, Seismic Enablement CloudHeldMindTickle, Seismic Enablement CloudDeelanMindTickleagainst: Allegoagainst: Absorb LMS, Highspot, Seismic Enablement Cloud, TalentLMS
Four alternatives
Allego, Gong, Revenue.io, Salesloft ConversationsOne alternative
Salesforce AgentforceFive alternatives
Allego, Clari Copilot, Gong, Revenue.io, Salesloft ConversationsThree alternatives
JoySuite AI, MindTickle, Seismic Enablement CloudTwo alternatives
Gong, Seismic Enablement CloudPerplexity SonarGongSeismic Enablement CloudChangedGongMindTickleagainst: Chorus by ZoomInfono first choiceagainst: Allego, Avoma, CallMiner, Chorus by ZoomInfo, Gong, Highspot, Salesforce Einstein, Seismic Enablement Cloud
Three alternatives
Hyperbound, MindTickle, SpekitTwo alternatives
Highspot, MindTickleNine alternatives
Avoma, Chorus by ZoomInfo, Docebo, MindTickle, Second Nature, Seismic Enablement Cloud, Showpad Coach, Spekit, SybillTwo alternatives
Gong, Showpad CoachGrok 4.1 FastGongHighspot, Seismic Enablement CloudChangedGongMindTickleno first choiceagainst: 360Learning, Chorus by ZoomInfo, Gong, Highspot, Hyperbound, Kendo AI, Laxis, MindTickle, Otter.ai, Seismic Enablement Cloud, Showpad Coach
Two alternatives
MindTickle, Second NatureThree alternatives
Allego, MindTickle, Showpad CoachFour alternatives
Chorus by ZoomInfo, Clari Copilot, MindTickle, Second NatureFive alternatives
Allego, Gong, Highspot, SalesHood, Seismic Enablement CloudFour alternatives
Gong, Highspot, LemCoach, MindTickleMistral SmallMindTickleSpekitChangedGongInsight7against: 360Learning, Gong, MindTickle, SmartWinnrno first choiceagainst: Fathom, Gong, MindTickle, Second Nature
Two alternatives
Spekit, ZoomInfoTwo alternatives
BigTinCan Readiness, HighspotFive alternatives
Exec, Jiminny, MindTickle, Salesloft Conversations, Showpad CoachDeepSeek V4 FlashMindTickleMindTickleHeldGong, MindTickleno first choiceMindTickleagainst: Gongagainst: Gong, Highspot, MindTickle, Seismic Enablement Cloud
Four alternatives
Allego, Gong, SalesHood, Seismic Enablement CloudOne alternative
HighspotFive alternatives
Allego, Highspot, Salesloft Conversations, Seismic Enablement Cloud, Showpad CoachThree alternatives
Highspot, SecondBody, Seismic Enablement CloudLlama 4 MaverickHyperbound.aino first choiceChangedno first choiceno first choiceno first choicenothing named
Four alternatives
Alpharun, HubSpot, Spekit, ZoomInfoFour alternatives
Hyperbound, LemCoach, Outdoo AI, SpekitQwen 3.7 FlashGongMindTickleChangedAmpUp, MindTickleSalesHood, Spekitagainst: Highspot, MindTickleno first choiceagainst: Allego, Chorus by ZoomInfo, Cornerstone, Gong, Highspot, MindTickle, SAP SuccessFactors, Seismic Enablement Cloud, Showpad Coach
Two alternatives
Highspot, MindTickleTwo alternatives
Highspot, SpekitFour alternatives
Allego, Gong, Highspot, Seismic Enablement CloudKimi K2MindTickleagainst: Seismic Enablement CloudMindTickleHeldagainst: Highspot, Seismic Enablement Cloudno first choiceDeelanagainst: Gong, Highspot, Seismic Enablement CloudGongagainst: Clari Copilot, Gong
Two alternatives
Gong, HighspotTwo alternatives
360Learning, AllegoEleven alternatives
Allego, Chorus by ZoomInfo, Clari Copilot, Gong, Highspot, MindTickle, Outreach Kaia, SalesHood, Salesloft Conversations, Seismic Learning, Showpad CoachFour alternatives
Allego, Insight7, MindTickle, OvervueThree alternatives
Chorus by ZoomInfo, Hyperbound, LemCoachGLM 4.7 FlashXGong, MindTickleSeismic Enablement CloudChangedagainst: Highspotno first choiceMindTickleno first choicenothing named
Three alternatives
Chorus by ZoomInfo, Highspot, HyperboundOne alternative
MindTickleTwo alternatives
Ambition, HighspotMiniMax M2.5no first choiceMindTickleChangedMindTickleEasyCoachagainst: Deelan, Gong, Highspot, MindTickle, Seismic Enablement Cloudno first choiceagainst: Clari Copilot, Dale Carnegie, Gong, Sandler Training
Five alternatives
Chorus by ZoomInfo, Lessonly, MindTickle, Salesforce Sales Cloud, Showpad CoachTwo alternatives
Highspot, Seismic Enablement CloudSix alternatives
Allego, Gong, Highspot, SalesHood, Seismic Enablement Cloud, Showpad CoachOne alternative
ImpartaGPT-6 LunaGongMindTickleChangedno first choiceAllegono first choiceagainst: Balto, Fathom, Salesforce Sales Enablement
Three alternatives
Highspot, MindTickle, Seismic Enablement CloudOne alternative
Seismic Enablement CloudEight alternatives
Allego, Gong, Highspot, MindTickle, SalesHood, Salesloft Conversations, Seismic Learning, Showpad CoachTwo alternatives
Highspot, SalesHoodMuse Glimmer 30BMindTickleMindTickleHeldMindTickleDeelanagainst: Allego, Gong, Highspotno first choiceagainst: Avoma, Chorus by ZoomInfo, Clari Copilot, Gong, Hyperbound, Second Nature
Two alternatives
Allego, Seismic – HighspotTwo alternatives
Highspot, Seismic Enablement CloudFive alternatives
Allego, Chorus by ZoomInfo, Gong, Highspot, Seismic LearningOne alternative
EasyCoachBold 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. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:17 | yes | 18 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:27 | yes | 4 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:00 | yes | 16 | 22 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 13:20 | yes | 20 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:02 | yes | 22 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:24 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:15 | yes | 24 | 40 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:53 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:49 | yes | 15 | 41 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:29 | yes | 20 | 31 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:49 | yes | 15 | 36 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:22 | no | 0 | 6 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:20 | yes | 2 | 12 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:45 | yes | 15 | 19 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:10 | yes | 17 | 10 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:54 | yes | 5 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:02 | yes | 8 | 18 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 12:24 | yes | 19 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:26 | yes | 22 | 6 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:22 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:23 | yes | 24 | 22 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:18 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:02 | yes | 9 | 39 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:21 | yes | 20 | 27 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:14 | yes | 24 | 98 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:52 | yes | 5 | 15 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:23 | yes | 2 | 25 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:25 | yes | 15 | 13 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:45 | yes | 9 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 14:05 | yes | 5 | 10 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:19 | yes | 19 | 32 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 11:16 | yes | 19 | 7 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:12 | yes | 23 | 11 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:25 | yes | 14 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:08 | yes | 24 | 56 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:47 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:21 | yes | 15 | 89 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:57 | yes | 25 | 27 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:53 | no | 0 | 23 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:58 | yes | 15 | 26 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:42 | yes | 10 | 38 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:51 | yes | 25 | 35 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:49 | yes | 18 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:20 | yes | 4 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:08 | yes | 23 | 40 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 08:48 | yes | 18 | 2 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:21 | yes | 24 | 11 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:38 | yes | 5 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:53 | yes | 24 | 15 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:49 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:30 | yes | 15 | 72 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:47 | yes | 24 | 21 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:24 | yes | 23 | 153 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:00 | yes | 23 | 48 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:47 | yes | 3 | 24 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:38 | yes | 22 | 22 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:56 | yes | 18 | 12 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:25 | yes | 3 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:15 | yes | 11 | 25 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 09:48 | yes | 19 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:16 | yes | 20 | 7 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 14:14 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:01 | yes | 24 | 59 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:02 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:31 | yes | 10 | 67 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:51 | yes | 14 | 24 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:59 | yes | 15 | 65 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:49 | no | 0 | 8 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:00 | yes | 2 | 23 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:44 | yes | 14 | 32 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:16 | yes | 17 | 12 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:41 | yes | 6 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:59 | yes | 20 | 22 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 13:10 | yes | 20 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:03 | yes | 24 | 11 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:27 | yes | 14 | 6 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:14 | yes | 25 | 49 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:44 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:07 | yes | 25 | 61 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:49 | yes | 21 | 22 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:45 | yes | 25 | 97 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:22 | yes | 25 | 42 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:09 | yes | 3 | 17 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:53 | yes | 25 | 33 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Outreach read as Outreach Kaia
SalesLoft read as Salesloft Conversations
Salesloft read as Salesloft Conversations
Salesloft (including Clari) read as Salesloft Conversations
Sandler read as Sandler Training
Seismic read as Seismic Enablement Cloud
Seismic (Now Combined with Highspot) read as Seismic Enablement Cloud
Seismic (incl. Lessonly) read as Seismic Enablement Cloud
Seismic (including Highspot) read as Seismic Enablement Cloud
Seismic (including Lessonly) read as Seismic Enablement Cloud
Seismic (merged with Highspot, 2026) read as Seismic Enablement Cloud
Seismic (now merged with Highspot) read as Seismic Enablement Cloud
Showpad read as Showpad Coach
Unresolved, counted raw
Axonify
Belay
BetterUp/CoachHub
Chrisp
Dale Carnegie
Exceed.ai
Hyperbound.ai
Imparta
JoySuite AI
Othello
Overvue
Quantitative Sales Coaching
Richardson
Salesforce Einstein Coaching
Salesforce Sales Enablement
Seismic – Highspot
The Brooks Group
Discontinued, still offered
No shut-down product was recommended here.