AI Indexes
GTM AI Index
September 2026 Edition, expanded tier · The six flagship models on every category, as published September 9, 2026. The public index runs on the standard tier; this record is what the Expanded Edition Pack delivers on one category. The category page →
Index › Sales › September 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 software company. 51 first choices recorded across the direct, paraphrase, budget and scale prompts, six 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 12-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.

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
01Dock29%18%44accepted challenger▲+25Since September 2026: 6% → 31%, +25 points. Past the 12-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 12-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 12-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 12-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 12-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 12-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 12-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 12-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 12-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 12-point floor: within noise. Read over the models both editions asked.6% → 0%

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 is noise, and both are shown. 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

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 6 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 6 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 6 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 6 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 six in this edition.

Sites the answers cite

77 of 84 answers in this category came back with a source list, from 14 of 6 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. None of the 36 answers across every segment cited this index's own page for the category.

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 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

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
Zero rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency

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

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.
← Conversation intelField sales →