AI Indexes
GTM AI Index
October 2026 Edition · The permanent record of this edition. The unqualified address always carries the latest edition.
Index › Sales › October 2026 Edition

Digital sales rooms

Asked as “digital sales room platform”, and as “buyer engagement and deal room tool”, on behalf of a mid-market B2B company. 51 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
29%
Contested · Aligned 24%
29Dock24Aligned20Trumpet27others

29% of first choices, contested.

Since September 2026↗new leaderNew leader since September 2026: Dock (31%) replaces Aligned (40% then, 22% now), 9 points clear, inside the 11-point floor.Dock leads at 31%, replacing Aligned, which led at 40% and stands at 22% now: 9 points clear, inside the floor, so the swap reads as unsettled.

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.

The standing

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. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Dock29%18%44accepted challenger▲+25Since September 2026: 6% → 31%, +25 points. Past the 11-point floor: movement. Read over the models both editions asked.6% → 31%
02Aligned24%4%46accepted challenger▼−17Since September 2026: 40% → 22%, −17 points. Past the 11-point floor: movement. Read over the models both editions asked.40% → 22%
03Trumpet20%16%55accepted challenger▼−7Since September 2026: 25% → 18%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.25% → 18%
04GetAccept8%10%48accepted challenger▲+1Since September 2026: 8% → 9%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.8% → 9%
05DealHub DealRoom2%14%29accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Show the five products at 0%, ordered by negative rate
10Seismic0%50%34criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
09Highspot0%47%34criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
08MindTickle0%33%15criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
07Showpad0%19%16accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
06Flowla0%0%24accepted challenger▼−6Since September 2026: 6% → 0%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 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 ten head-to-head pages: the top five products, each against each

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 →
01
02
03
04
05
06
07
08
09
10
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Dock29%
02Aligned24%
03Trumpet20%
04GetAccept8%
05DealHub DealRoom2%
06Flowla0%
07Showpad0%
08MindTickle0%
09Highspot0%
10Seismic0%

What they warned about

Three of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B 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.
Highspot
47%
16 of 34 labels negative · 9 of 14 models · 5 hard negative
“"content custodians," "PDF repositories," and "glorified Dropbox" with "$50K-per-rep portals nobody opens."” Kimi K2, negative prompt
Seismic
50%
17 of 34 labels negative · 9 of 14 models · 3 hard negative
“Criticized for being a poor fit for small or fast-moving teams due to complexity and slow follow-ups. It's also flagged as bloated and enterprise-level” Mistral Small, negative prompt
Dock
18%
8 of 44 labels negative · 7 of 14 models · 1 hard negative
“(specifically mentioned to avoid) ... "**Avoid platforms like Dock**"” Kimi K2, negative prompt
Trumpet
16%
9 of 55 labels negative · 7 of 14 models
“Trumpet can be buggy at times, navigating design features can be tough, and analytics features are only available in higher plans” 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

77 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. 1005 links across 160 sites, every framing counted. Ranked by the number of answers carrying the site or page. 24 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.

vendor site · MindTickle50 answers · 53 citations · 12 models
36 answers · 49 citations · 11 models
vendor site · GetAccept36 answers · 40 citations · 12 models
vendor site · Dock33 answers · 49 citations · 12 models
32 answers · 56 citations · 11 models
vendor site · Storylane31 answers · 33 citations · 11 models
29 answers · 38 citations · 12 models
vendor site · Showpad27 answers · 29 citations · 13 models
vendor site · Guideflow25 answers · 35 citations · 9 models
vendor site · HummingDeck24 answers · 25 citations · 10 models
vendor site · Gartner24 answers · 24 citations · 11 models
20 answers · 32 citations · 9 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.

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 digital sales room platform”, “digital sales room 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 productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 daysBest Google position
Dock dock.us29%30790,50081,22239,01607
Aligned alignedup.com24%143165,00088,10159,675$455261
Trumpet sendtrumpet.com20%178165,00052,3092,058$328
GetAccept getaccept.com8%189590915,454$4,087145
HummingDeck hummingdeck.com4%36100148
DealHub DealRoom dealhub.io2%81200319,299$37262
DealCollab dealcollab.io2%5
Spekit spekit.com2%941,900153,062$86335
Recapped recapped.io2%241,6009,811773
ClientPoint clientpoint.net2%3

Google's top ten for the two searches hold 15 sites; 5 of them are among the sites the models cited here (alignedup.com, dock.us, gartner.com, getaccept.com, mindtickle.com). The first result for “best digital sales room platform” is usergems.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
ModelDirect“What is the best digital sales room platform for a mid-market B2B company?”Paraphrase“Which buyer engagement and deal room tool would you recommend to a mid-sized B2B company?”Comparative“What are the top digital sales room platforms and how do they differ?”Budget-constrained“What is the best digital sales room platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a digital sales room platform. What should we look at?”Negative“Which digital sales room platforms should I avoid or be cautious about?”
Claude Haiku 4.5Aligned
Three alternativesGetAccept, Spekit, Trumpet
DockChanged
Two alternativesAligned, GetAccept
no first choiceAligned
Three alternativesDealCollab, Flowla, Trumpet
no first choiceagainst: Trumpet
GPT-5.4 miniTrumpet
Three alternativesAligned, DealHub DealRoom, GetAccept
DockChanged
Five alternativesDealHub DealRoom, GetAccept, Highspot, PandaDoc, Seismic
Highspot, Seismic, Showpad
Five alternativesAllego, DealHub DealRoom, Dock, Flowla, Paperflite
Noux Digital Sales Room
One alternativeLaunchdeck Digital Sales Room
no first choicenothing named
Gemini 3.5 FlashDock
Five alternativesAligned, Arrows, Flowla, GetAccept, Trumpet
against: Highspot, Seismic
DockHeld
Two alternativesAligned, Trumpet
against: DocSend, Highspot, MindTickle, Seismic
no first choiceAligned
Three alternativesDistribute, Dock, Trumpet
against: Highspot, Seismic
no first choiceagainst: Aligned, DealHub DealRoom, Dock, Highspot, Recapped, Seismic, Showpad, Trumpet
Perplexity SonarDock, Trumpet
One alternativeGetAccept
AlignedChanged
Two alternativesApollo.io, HubSpot Sales Hub
against: Outreach, Salesloft
no first choiceAligned
Two alternativesFlowla, Guideflow
no first choicenothing named
Grok 4.1 FastAligned
Three alternativesDealHub DealRoom, GetAccept, Trumpet
GetAcceptChanged
Three alternativesAligned, DealHub DealRoom, Trumpet
Aligned, Trumpet
Four alternativesDealHub DealRoom, GetAccept, MindTickle, Showpad
Aligned, DealCollab
Five alternativesDock, Flowla, HummingDeck, Storylane, Trumpet
against: GetAccept
no first choice
Three alternativesConsensus, MindTickle, Trumpet
against: Distribute, Highspot, Seismic, Showpad
Mistral SmallDock, Trumpet
One alternativeGetAccept
DockChanged
One alternativeDealRoom
against: MindTickle, Seismic
Showpad
Three alternativesBigtincan, DealHub DealRoom, Mediafly
HummingDeck
Three alternativesAligned, Storylane, Trumpet
no first choiceagainst: Dock, Highspot, MindTickle, Seismic
DeepSeek V4 FlashDock
Four alternativesAligned, GetAccept, Guideflow, Trumpet
DockHeld
Three alternativesFlowla, GetAccept, Trumpet
Arrows, Trumpet
Six alternativesDock, Flowla, Highspot, MindTickle, Seismic, Showpad
Aligned, Dock
Two alternativesFlowla, Trumpet
Trumpet
Two alternativesAligned, GetAccept
against: Highspot, MindTickle, Seismic
against: Dock, GetAccept, Highspot, Trumpet
Llama 4 MaverickTrumpet
Three alternativesAligned, GetAccept, Storylane
TrumpetHeldno first choiceno first choiceno first choiceagainst: Consensus, Trumpet
Qwen 3.7 FlashQwilr
Four alternativesContxtus, Highspot, Loopio, PandaDoc
against: Seismic
DealHub DealRoomChanged
Two alternativesGetAccept, Zoomforth
no first choiceAligned, GetAccept
Three alternativesEnable.us, Storylane, Trumpet
no first choiceagainst: DealHub DealRoom, GetAccept, Highspot, Seismic
Kimi K2Dock, Trumpet
Three alternativesAligned, DealHub DealRoom, GetAccept
Dock, GetAcceptChanged
One alternativeAligned
no first choiceGetAccept
Three alternativesBetter Proposals, HubSpot CRM, PandaDoc
no first choiceagainst: Dock, GetAccept, Highspot, PandaDoc, Seismic, Showpad
GLM 4.7 FlashXAligned
Three alternativesDock, GetAccept, Trumpet
against: DealHub DealRoom, Highspot, Seismic
DockChanged
Five alternativesAligned, DealHub DealRoom, GetAccept, Moxo, Trumpet
against: Highspot
Aligned, Trumpet
Six alternativesAllego, Dock, Flowla, GetAccept, Guideflow, Omedym
against: Highspot, Klue, Seismic
ClientPoint, ClientPoint.me
Two alternativesGetAccept, Guideflow
against: Pipedrive
no first choiceagainst: DealHub DealRoom
MiniMax M2.5Spekit, Trumpet
One alternativeAligned
DockChanged
Three alternativesDealHub DealRoom, GetAccept, Paperflite
MindTickle
Seven alternativesAccord, DealCollab, DealHub DealRoom, Dock, GetAccept, Highspot, Trumpet
against: Seismic
Recapped
Four alternativesAligned, Enable.us, HummingDeck, Trumpet
no first choiceagainst: Dock, GetAccept, Highspot, Recapped, Seismic, Trumpet
GPT-6 LunaTrumpet
One alternativeDock
DockChanged
One alternativeAligned
no first choiceAligned
One alternativeRecapped
against: Dock
no first choiceagainst: Dock, Showell, Trumpet
Muse Glimmer 30BTrumpet
Two alternativesGetAccept, Showpad Shared Spaces
against: Highspot, Seismic
AlignedChanged
One alternativeGetAccept
against: Trumpet
no first choiceagainst: DocSend, now part of Dropbox, TrumpetHummingDeck
Four alternativesAligned, Dock, Flowla, Trumpet
no first choiceagainst: Aligned, DocSend, Dock, Highspot, MindTickle, Seismic, Trumpet
Bold 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.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 13:04yes98 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 12:10yes26 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-10-01 08:19yes1724 s
Direct recommendationPerplexity Sonarsonar2026-10-01 09:41yes204 s
Direct recommendationGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 08:02yes259 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-10-01 13:29yes96 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 07:43yes1845 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 09:32yes52 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 08:37no037 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-10-01 13:18yes1523 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 07:33yes1767 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 10:14yes514 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-10-01 11:53yes313 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 12:51yes1218 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 13:53yes199 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 10:41yes24 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-10-01 10:18yes2020 s
ParaphrasePerplexity Sonarsonar2026-10-01 13:18yes183 s
ParaphraseGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 11:31yes246 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-10-01 12:44yes118 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 08:38yes2429 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 11:51yes51 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 11:57yes521 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-10-01 10:28yes1818 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 09:56yes1014 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 10:27yes1335 s
ParaphraseGPT-6 Lunagpt-6-luna2026-10-01 10:40yes216 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 12:48yes1926 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 09:14yes98 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 11:09yes511 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-10-01 09:37yes1017 s
ComparativePerplexity Sonarsonar2026-10-01 11:51yes134 s
ComparativeGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 10:46yes177 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-10-01 10:45yes1046 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 11:03yes2038 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 11:56yes51 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 13:42no028 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-10-01 10:07yes1830 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 07:45yes2234 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 09:43yes1223 s
ComparativeGPT-6 Lunagpt-6-luna2026-10-01 12:03yes624 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 08:32yes1431 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 13:19yes97 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 07:43yes33 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 07:26yes2321 s
Budget constrainedPerplexity Sonarsonar2026-10-01 09:42yes173 s
Budget constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 12:20yes207 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 13:19yes53 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 13:50yes2329 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 11:21yes51 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 07:25yes739 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 08:04yes1416 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 07:50yes2325 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 10:55yes520 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-10-01 08:59yes311 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 10:58yes1422 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 08:08no05 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 13:15no06 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 10:56yes1027 s
Scale constrainedPerplexity Sonarsonar2026-10-01 09:32yes175 s
Scale constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 10:54yes177 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 13:17no09 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 14:07yes16104 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 12:02yes52 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 09:06no037 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 12:11yes1322 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 08:30yes1249 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 10:49no09 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-10-01 10:56yes220 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 11:04yes1418 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 11:43yes178 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 13:52yes27 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-10-01 09:28yes1720 s
Negative framingPerplexity Sonarsonar2026-10-01 11:04yes256 s
Negative framingGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 07:24yes229 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-10-01 10:23yes54 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 10:55yes2140 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 13:14yes52 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 09:28yes1035 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-10-01 09:51yes2322 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 14:04yes2325 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 13:55yes2341 s
Negative framingGPT-6 Lunagpt-6-luna2026-10-01 13:01yes329 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 07:24yes2424 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 Haiku 4.5
3 of 3 flipped
GPT-5.4 mini
3 of 4 flipped
Gemini 3.5 Flash
3 of 4 flipped
Perplexity Sonar
1 of 3 flipped
Grok 4.1 Fast
3 of 6 flipped
Mistral Small
3 of 4 flipped
DeepSeek V4 Flash
4 of 5 flipped
Llama 4 Maverick
0 of 2 flipped
Qwen 3.7 Flash
5 of 5 flipped
Kimi K2
4 of 4 flipped
GLM 4.7 FlashX
5 of 6 flipped
MiniMax M2.5
4 of 4 flipped
GPT-6 Luna
2 of 4 flipped
Muse Glimmer 30B
3 of 3 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
DealHub read as DealHub DealRoom
DealHub (DealHub.io) read as DealHub DealRoom
DealHub AI read as DealHub DealRoom
DealHub.io read as DealHub DealRoom
Unresolved, counted raw
August
ClientPoint.me
Contxtus
DealCloud
DocSend, now part of Dropbox
Dotloop
Drooms
Duxbury Lane
Launchdeck Digital Sales Room
Paperless
Salesforce
Discontinued, still offered
No shut-down product was recommended here.
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