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. 26 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing · first-choice share
38%
Contested · Trumpet 23%
38Dock23Trumpet19Aligned19others
38% of first choices, contested.
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 three products at 0%, ordered by negative rate
08
Seismic Digital Sales Rooms0%70%20criticized challengernewNew since September 2026: not ranked then, 0% now.
Seismic Digital Sales Rooms0%70%20criticized 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 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
0708Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Dock38%
Dock38%02Trumpet23%
Trumpet23%03Aligned19%
Aligned19%04Flowla12%
Flowla12%05DealHub DealRoom4%
DealHub DealRoom4%06GetAccept0%
GetAccept0%07Highspot0%
Highspot0%08Seismic Digital Sales Rooms0%
Seismic Digital Sales Rooms0%What they warned about
Two of six models held their first choice under the paraphrase. Claude Opus 5, Claude Opus 4.8, GPT-5.6 Sol 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.
Seismic Digital Sales Rooms70%
14 of 20 labels negative · 6 of 6 models · 6 hard negative
“The strongest warnings in the results are about Seismic for small or fast-moving teams... which makes it a poor fit for quick follow-ups or simple deal cycles.” Perplexity Sonar Pro, negative prompt
Dock22%
7 of 32 labels negative · 6 of 6 models · 1 hard negative
“Avoid Accord and Dock at this budget — Dock's paid plans reportedly start around $350/month for 5 users” Claude Opus 5, budget prompt
Highspot79%
11 of 14 labels negative · 5 of 6 models · 5 hard negative
“you want to avoid bloated, enterprise-level enablement platforms (like Seismic, Highspot, or Mindtickle)” Gemini 3.1 Pro, budget prompt
Trumpet17%
5 of 29 labels negative · 5 of 6 models
“repeated cautions include customization limits, room-creation effort and CRM synchronization or content-governance gaps” GPT-5.6 Sol, 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. 534 links across 112 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 · GetAccept28 answers · 32 citations · 6 models
vendor site · Dock25 answers · 32 citations · 5 models
24 answers · 35 citations · 6 models
vendor site · Flowla19 answers · 30 citations · 5 models
16 answers · 38 citations · 5 models
vendor site · Allego16 answers · 17 citations · 5 models
vendor site · HummingDeck15 answers · 21 citations · 4 models
14 answers · 15 citations · 6 models
vendor site · Supademo13 answers · 14 citations · 4 models
13 answers · 13 citations · 4 models
vendor site · Gartner13 answers · 13 citations · 5 models
vendor site · MindTickle13 answers · 13 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.
19 answers · 4 models
15 answers · 4 models
15 answers · 4 models
15 answers · 4 models
13 answers · 3 models
13 answers · 3 models
13 answers · 3 models
12 answers · 4 models
12 answers · 4 models
11 answers · 4 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 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 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 |
|---|---|---|---|---|---|---|---|---|
| Dock dock.us | 38% | 271 | 90,500 | 81,222 | 39,016 | 0 | 7 | |
| Trumpet sendtrumpet.com | 23% | 191 | 165,000 | 52,309 | 2,058 | $32 | 8 | |
| Aligned alignedup.com | 19% | 168 | 165,000 | 88,101 | 59,675 | $455 | 26 | 1 |
| Flowla flowla.com | 12% | 62 | 210 | 3 | 308 | 0 | ||
| DealHub DealRoom dealhub.io | 4% | 69 | 20 | 0 | 319,299 | $372 | 62 | |
| HummingDeck hummingdeck.com | 4% | 6 | 10 | 0 | 148 | |||
| GetAccept getaccept.com | 0% | 235 | 590 | 9 | 15,454 | $4,087 | 14 | 5 |
| Allego allego.com | 0% | 208 | 5,400 | 58 | 12,354 | $883 | 29 | |
| Guideflow guideflow.com | 0% | 78 | 480 | 1 | 37,574 | |||
| PandaDoc pandadoc.com | 0% | 538 | 60,500 | 510 | 425,196 | $42,516 | 119 |
Google's top ten for the two searches hold 15 sites; 6 of them are among the sites the models cited here (alignedup.com, dock.us, gartner.com, getaccept.com, mindtickle.com, supademo.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
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 digital sales room platform for a mid-market B2B software company?”Paraphrase“Which buyer engagement and deal room tool would you recommend to a mid-sized B2B software 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 5Aligned, Dock, Trumpetagainst: Highspot, Recapped, Seismic Digital Sales Rooms, Showpad Shared SpacesDockChangedAlignedagainst: JourneySales, Seismic Digital Sales RoomsAligned, Trumpetagainst: Accord, Dockno first choiceagainst: Allego, Bigtincan, DealHub DealRoom, Distribute, Flowla, Highspot, MindTickle, Seismic Digital Sales Rooms, Showpad Shared Spaces
Two alternatives
DealHub DealRoom, GetAcceptThree alternatives
Aligned, GetAccept, TrumpetSeven alternatives
Allego, DealHub DealRoom, Dock, Flowla, GetAccept, MindTickle, TrumpetOne alternative
FlowlaClaude Opus 4.8Aligned, DealHub DealRoomagainst: Highspot, Seismic Digital Sales Rooms, Showpad Shared SpacesAligned, DockChangedDockDock, Flowlaagainst: GetAcceptno first choiceagainst: Aligned, Allego, Dock, Flowla, GetAccept, Highspot, Recapped, Seismic Digital Sales Rooms, Showpad Shared Spaces, Trumpet
Four alternatives
Dock, GetAccept, Recapped, TrumpetTwo alternatives
GetAccept, TrumpetSeven alternatives
Allego, DealHub DealRoom, Flowla, GetAccept, MindTickle, SalesHood, Seismic Digital Sales RoomsOne alternative
TrumpetGPT-6 AstraDockDockHeldAligned, Dock, Trumpetagainst: Highspot, Seismic Digital Sales RoomsTrumpetagainst: Dockno first choiceagainst: Aligned, DealHub DealRoom, Dock, GetAccept, Trumpet
Three alternatives
Aligned, GetAccept, TrumpetTwo alternatives
GetAccept, TrumpetFour alternatives
Accord, Allego, DealHub DealRoom, GetAcceptOne alternative
AlignedGPT-5.6 SolTrumpetagainst: FlowlaDockChangedAligned, TrumpetAlignedno first choiceagainst: DealHub DealRoom, Dock, Flowla, GetAccept, MindTickle, Omedym, Qwilr, Seismic Digital Sales Rooms, Trumpet
Three alternatives
Aligned, Dock, GetAcceptFour alternatives
Aligned, Flowla, GetAccept, TrumpetSix alternatives
DealHub DealRoom, Dock, Flowla, GetAccept, Recapped, Seismic Digital Sales RoomsThree alternatives
Dock, Flowla, GetAcceptGemini 3.1 ProDockagainst: Highspot, Seismic Digital Sales RoomsDockHeldagainst: Highspot, Seismic Digital Sales Roomsno first choiceFlowla, Trumpetagainst: Highspot, MindTickle, Seismic Digital Sales Roomsno first choiceagainst: Buyerstage, Dock, GetAccept, Highspot, Seismic Digital Sales Rooms, Trumpet
Four alternatives
Accord, Aligned, GetAccept, TrumpetFive alternatives
Aligned, DealHub DealRoom, GetAccept, Recapped, TrumpetSix alternatives
Aligned, Dock, FollowUp, GetAccept, HummingDeck, PandaDocPerplexity Sonar ProTrumpetDockChangedAligned, Trumpetagainst: Highspot, MindTickle, Seismic Digital Sales Rooms, Showpad Shared SpacesFlowla, HummingDeckagainst: DealHub DealRoom, Highspot, Seismic Digital Sales Roomsno first choiceagainst: Dock, Recapped, Seismic Digital Sales Rooms, Trumpet
Three alternatives
Aligned, DealHub DealRoom, GetAcceptFour alternatives
Aligned, Consensus, Trumpet, ZoomforthThree alternatives
DealHub DealRoom, Dock, GetAcceptOne alternative
GuideflowBold 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 | 2026-09-09 17:31 | yes | 28 | 66 s |
| Direct recommendation | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 17:34 | yes | 17 | 58 s |
| Direct recommendation | GPT-6 Astra | gpt-6-astra | 2026-09-09 19:27 | yes | 5 | 31 s |
| Direct recommendation | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 19:29 | yes | 5 | 57 s |
| Direct recommendation | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:04 | yes | 9 | 25 s |
| Direct recommendation | Perplexity Sonar Pro | sonar-pro | 2026-09-09 17:34 | yes | 19 | 4 s |
| Paraphrase | Claude Opus 5 | claude-opus-5 | 2026-09-09 17:37 | yes | 34 | 64 s |
| Paraphrase | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 17:39 | yes | 33 | 63 s |
| Paraphrase | GPT-6 Astra | gpt-6-astra | 2026-09-09 19:30 | yes | 5 | 28 s |
| Paraphrase | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 19:31 | yes | 6 | 31 s |
| Paraphrase | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:05 | yes | 7 | 38 s |
| Paraphrase | Perplexity Sonar Pro | sonar-pro | 2026-09-09 17:40 | yes | 20 | 4 s |
| Comparative | Claude Opus 5 | claude-opus-5 | 2026-09-09 17:43 | yes | 34 | 81 s |
| Comparative | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 17:49 | yes | 23 | 301 s |
| Comparative | GPT-6 Astra | gpt-6-astra | 2026-09-09 19:33 | yes | 9 | 44 s |
| Comparative | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 19:35 | yes | 10 | 54 s |
| Comparative | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:07 | yes | 13 | 35 s |
| Comparative | Perplexity Sonar Pro | sonar-pro | 2026-09-09 17:50 | yes | 20 | 10 s |
| Budget constrained | Claude Opus 5 | claude-opus-5 | 2026-09-09 17:53 | yes | 28 | 61 s |
| Budget constrained | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 17:57 | yes | 22 | 56 s |
| Budget constrained | GPT-6 Astra | gpt-6-astra | 2026-09-09 19:36 | yes | 3 | 24 s |
| Budget constrained | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 19:37 | yes | 4 | 26 s |
| Budget constrained | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:08 | yes | 7 | 25 s |
| Budget constrained | Perplexity Sonar Pro | sonar-pro | 2026-09-09 17:58 | yes | 19 | 5 s |
| Scale constrained | Claude Opus 5 | claude-opus-5 | 2026-09-09 18:01 | yes | 23 | 58 s |
| Scale constrained | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 18:02 | no | 0 | 24 s |
| Scale constrained | GPT-6 Astra | gpt-6-astra | 2026-09-09 19:39 | yes | 5 | 40 s |
| Scale constrained | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 19:41 | yes | 6 | 59 s |
| Scale constrained | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:09 | no | 0 | 23 s |
| Scale constrained | Perplexity Sonar Pro | sonar-pro | 2026-09-09 18:02 | yes | 20 | 10 s |
| Negative framing | Claude Opus 5 | claude-opus-5 | 2026-09-09 18:05 | yes | 32 | 85 s |
| Negative framing | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 18:08 | yes | 23 | 62 s |
| Negative framing | GPT-6 Astra | gpt-6-astra | 2026-09-09 19:43 | yes | 5 | 37 s |
| Negative framing | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 19:45 | yes | 8 | 67 s |
| Negative framing | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:13 | yes | 12 | 100 s |
| Negative framing | Perplexity Sonar Pro | sonar-pro | 2026-09-09 18:08 | yes | 20 | 7 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
3 of 4 flipped
Claude Opus 4.8
4 of 4 flipped
GPT-6 Astra
0 of 4 flipped
GPT-5.6 Sol
1 of 4 flipped
Gemini 3.1 Pro
2 of 4 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
DealHub read as DealHub DealRoom
DealHub / Dealpoints read as DealHub DealRoom
DealHub.io read as DealHub DealRoom
Seismic read as Seismic Digital Sales Rooms
Seismic (now including Highspot) read as Seismic Digital Sales Rooms
Showpad read as Showpad Shared Spaces
Unresolved, counted raw
None awaiting human review.
Discontinued, still offered
No shut-down product was recommended here.