September 2026 Edition, published · The permanent record of that edition, superseded since. The current standing is on the category page →
Index › GTM › Revenue operations › Proposals › Enterprise · September 2026 Edition

Proposal software for enterprise buyers

Asked as “proposal software”, and as “sales proposal and quote document tool”, on behalf of an enterprise B2B company. 54 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing · first-choice share
22%
Contested · Responsive 13%
22PandaDoc13Responsive11DealHub54others

22% of first choices, contested.

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 twelve models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
01PandaDoc22%35%55criticized challenger
02Responsive13%12%33accepted challenger
03DealHub11%11%28accepted challenger
04Conga Composer7%10%29accepted challenger
05GetAccept7%8%25accepted challenger
06Loopio4%9%33accepted challenger
07Upland Qvidian4%7%14accepted challenger
08Conga CPQ2%0%10accepted challenger
09Proposify2%42%36criticized challenger
10Better Proposals2%60%15criticized challenger
Show the two products at 0%, ordered by negative rate
12Qwilr0%39%28criticized challenger
11AutogenAI0%9%11accepted challenger
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 headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
All twenty-eight head-to-head pages: the top eight 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
11
12
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01PandaDoc22%
02Responsive13%
03DealHub11%
04Conga Composer7%
05GetAccept7%
06Loopio4%
07Upland Qvidian4%
08Conga CPQ2%
09Proposify2%
10Better Proposals2%
11AutogenAI0%
12Qwilr0%

What they warned about

One of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX and MiniMax M2.5 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.
PandaDoc
35%
19 of 55 labels negative · 11 of 12 models · 3 hard negative
“Verdict: Avoid for enterprise bid management, RFP response, government contracting, or formal compliance-heavy procurement.” DeepSeek V4 Flash, negative prompt
Proposify
42%
15 of 36 labels negative · 8 of 12 models · 5 hard negative
“Limited scalability for complex RFPs... SMB/mid-market focus: Lacks deep content auditing features for high-volume, global enterprise compliance” Kimi K2, negative prompt
Qwilr
39%
11 of 28 labels negative · 7 of 12 models · 6 hard negative
“Avoid general-purpose tools like Proposify, Qwilr, or PandaDoc for federal work requiring SF330 compliance” Mistral Small, negative prompt
Better Proposals
60%
9 of 15 labels negative · 7 of 12 models · 5 hard negative
“Limited enterprise features: Lacks sophisticated analytics, advanced engagement tracking, and extensive security/compliance features” Kimi K2, negative prompt

What they cite

Four of the twelve models returned a source list in this edition: four return the pages they cited.

Sites the answers cite

23 of 72 answers in this category came back with a source list, from 4 of 12 models: citations where the model returns them, or the search results it consulted. 317 links across 117 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 8 models searched through a gateway that returned no source list on this edition.

vendor site · GetAccept15 answers · 23 citations · 3 models
vendor site · Responsive13 answers · 22 citations · 4 models
vendor site · SiftHub9 answers · 11 citations · 3 models
vendor site · AutogenAI8 answers · 11 citations · 3 models
vendor site · Flowcase7 answers · 8 citations · 3 models
vendor site · Inventive6 answers · 10 citations · 2 models
vendor site · Loopio6 answers · 9 citations · 2 models
vendor site · Proposify6 answers · 9 citations · 4 models
vendor site · Guideflow6 answers · 7 citations · 3 models
6 answers · 6 citations · 3 models
vendor site · Arphie5 answers · 6 citations · 3 models
vendor site · Lindy5 answers · 5 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.

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 proposal software”, “proposal software”. 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
PandaDoc pandadoc.com22%53860,500510425,196$42,5161191
Salesforce parent site
Salesforce Revenue Cloud 9%, Salesforce CPQ 6%, Salesforce Revenue Management 2%
17%233550,00060,632
Responsive responsive.io13%23212,100210,14137,62016
DealHub dealhub.io11%1721,90083319,299$37262
Conga conga.com
Conga Composer 7%, Conga CPQ 2%
9%13327,1002,88246,363 company$224120
GetAccept getaccept.com7%235590915,454$4,087146
Loopio loopio.com4%2503,600804,64026
Upland Qvidian uplandsoftware.com4%10640167,149$1,203265
Bidara bidara.ai4%1
Inventive AI inventive.ai2%482605589,514$6944

Google's top ten for the two searches hold 15 sites; 3 of them are among the sites the models cited here (getaccept.com, proposify.com, sifthub.io). The first result for “best proposal software” is grantbite.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 proposal software for an enterprise B2B company?”Paraphrase“Which sales proposal and quote document tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade proposal tools and how do they differ?”Budget-constrained“What is the best proposal software 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 proposal software. What should we look at?”Negative“Which proposal tools should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5DealHub, PandaDoc
Four alternativesClientPoint, Conga Composer, Oneflow, SiftHub
Conga Composer, Salesforce CPQChanged
One alternativeDealHub
AutogenAI
Five alternativesDealHub, Loopio, PandaDoc, Proposify, Responsive
Conga Composer
One alternativeResponsive
no first choiceagainst: Bonsai, Conga Composer, PandaDoc, Proposable, Proposify
GPT-5.4 miniLoopio, Responsive
Four alternativesGetAccept, Oracle CPQ, Proposify, Qwilr
Salesforce CPQ, Salesforce Revenue ManagementChanged
Two alternativesConga CPQ, SAP CPQ
against: PandaDoc
Responsive
Two alternativesLoopio, Upland Qvidian
against: AutoRFP.ai, AutogenAI, Inventive
Responsive
Two alternativesPresel, ProposalWorkspace
no first choiceagainst: PandaDoc
Gemini 3.5 FlashPandaDoc
Six alternativesConga Composer, DocuSign Gen, Loopio, Proposify, Qwilr, Responsive
Salesforce Revenue CloudChanged
Three alternativesConga Composer, DealHub, PandaDoc
Loopio, Responsive
Five alternativesAutogenAI, GetAccept, PandaDoc, Proposify, Upland Qvidian
AutoRFP.ai, Inventive AI
Three alternativesQuoter, SubcontractorHub, Tribble AI
against: Loopio, PandaDoc, Proposify, Responsive
Responsive
Two alternativesLoopio, Upland Qvidian
against: AutoRFP.ai, SiftHub, SparrowGenie
against: Better Proposals, Bidsketch, Bonsai, Cone, DocuSign Gen, GetAccept, HoneyBook, Nusii, PandaDoc, Proposify, Prospero, Qwilr
Perplexity SonarGetAccept
Three alternativesAutogenAI, PandaDoc, Responsive
Salesforce CPQ, Salesforce Revenue CloudChanged
Two alternativesConga CPQ, PandaDoc
no first choiceBetter Proposals
One alternativeGetAccept
against: PandaDoc
no first choiceagainst: Better Proposals, Bonsai, Nusii, Proposable, Proposify, Prospero, Qwilr
Grok 4.20Salesforce Revenue Cloud
Two alternativesConga CPQ, Oracle CPQ
against: PandaDoc, Proposify
Salesforce Revenue CloudHeld
Three alternativesConga CPQ, Oracle CPQ, SAP CPQ
against: DealHub, PandaDoc, Proposify
Loopio, Responsive
Two alternativesConga CPQ, Upland Qvidian
against: PandaDoc, Proposify
GetAccept, PandaDoc
One alternativeSalesforce Revenue Cloud
against: Conga Composer, DealHub, Proposify
no first choiceagainst: Adobe Acrobat Sign, Better Proposals, Bonsai, DocuSign, Nusii, PandaDoc, Proposify, Qwilr, Responsive, SAP Ariba
Mistral SmallGetAccept, PandaDoc
Two alternativesConga Composer, DealHub
DealHubChanged
Four alternativesConga CPQ, GetAccept, PandaDoc, Proposify
Loopio
Four alternativesConga Composer, DealHub, GetAccept, PandaDoc
Bidara
Three alternativesPandaDoc, Qwilr, Vercor
PandaDoc
Four alternativesGetAccept, Loopio, ProposalSpace, Qwilr
against: PandaDoc, Proposify, Qwilr
DeepSeek V4 FlashResponsive
Three alternativesLoopio, QorusDocs, Upland Qvidian
against: PandaDoc, Qwilr
Conga ComposerChanged
Four alternativesDealHub, Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud
against: PandaDoc, Proposify
Loopio, Responsive
Four alternativesAutogenAI, PandaDoc, Proposify, Qwilr
PandaDoc
One alternativeLoopio
against: Better Proposals, GetAccept, Qwilr, Responsive
PandaDoc
One alternativeProposify
against: Qwilr
against: Better Proposals, PandaDoc, Proposify, Qwilr
Llama 4 MaverickProposify
Two alternativesGetAccept, Qwilr
no first choiceChangedno first choiceOneflowno first choicenothing named
Qwen 3.7 FlashPandaDoc, Responsive
Two alternativesConga Composer, Proposify
DealHubChanged
Three alternativesConga Composer, PandaDoc, Qwilr
Loopio, Responsive
Five alternativesConga Composer, Expedience, GetAccept, GovDash / GovWin, PandaDoc
GetAccept, PandaDoc
Two alternativesConga Composer, DealHub
no first choiceagainst: Better Proposals, Canva, Conga Composer, DealHub, PandaDoc, Prospero, Qwilr, Venngage
Kimi K2Responsive, Upland Qvidian
Four alternativesConga Composer, Loopio, PandaDoc, SiftHub
Conga Composer, Salesforce Revenue CloudChanged
Two alternativesOracle CPQ, SAP CPQ
against: PandaDoc
Loopio, Responsive
Seven alternativesAutogenAI, Conga CPQ, DealHub, PandaDoc, Proposify, QorusDocs, Qwilr
Conga CPQ, DealHub
Two alternativesPandaDoc, Responsive
against: Better Proposals, Loopio, Proposify, Qwilr
no first choiceagainst: Better Proposals, Bidsketch, Nusii, PandaDoc, Proposify, Qwilr
GLM 4.7 FlashXPandaDoc
Three alternativesGetAccept, Proposify, Qwilr
DealHubChanged
Four alternativesConga Composer, GetAccept, PandaDoc, Qwilr
GetAccept
Six alternativesConga Composer, DealHub, PandaDoc, Proposify, Qwilr, Storydoc
PandaDoc
Three alternativesDocuSign CLM, Proposify, Qwilr
Loopio, Responsive, Upland Qvidianagainst: Microsoft Word online, PandaDoc
MiniMax M2.5PandaDoc
Two alternativesGetAccept, Salesforce CPQ
DealHubChanged
Three alternativesConga Composer, PandaDoc, Responsive
no first choiceBidara
Three alternativesInventive AI, PropCraft, Vercor
against: Loopio, Responsive, Upland Qvidian
no first choiceagainst: Better Proposals, PandaDoc, Proposify, QorusDocs
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.
Seventy-two rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 04:21yes87 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 01:59yes45 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-09-14 23:01yes1522 s
Direct recommendationPerplexity Sonarsonar2026-09-15 00:08yes195 s
Direct recommendationGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-14 23:19yes07 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-09-15 03:55yes08 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-15 02:28yes016 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 02:13yes02 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 04:35yes046 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-09-15 00:14yes031 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 04:28yes019 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 02:20yes017 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 00:46yes77 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 04:47yes45 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-09-15 02:45yes924 s
ParaphrasePerplexity Sonarsonar2026-09-15 03:25yes205 s
ParaphraseGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-14 23:54yes06 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-09-15 01:47yes07 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-15 01:51yes039 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 00:40yes01 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 05:01no040 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-09-15 03:18yes036 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-14 23:37yes059 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 00:12yes016 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 05:06yes1311 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 00:36yes57 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-09-14 23:42yes3025 s
ComparativePerplexity Sonarsonar2026-09-15 03:23yes207 s
ComparativeGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 03:08yes09 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-09-15 00:03yes09 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-15 01:18yes022 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 01:58yes02 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 04:18yes040 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-09-15 00:12yes041 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 02:16yes021 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 04:29yes011 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-14 23:52yes138 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 01:58yes45 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-15 02:55yes1927 s
Budget constrainedPerplexity Sonarsonar2026-09-14 23:25yes207 s
Budget constrainedGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 00:26yes010 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-09-15 00:46yes010 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-15 02:05yes046 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 05:02yes02 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 01:20yes032 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-15 02:23yes090 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-14 23:51yes050 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 05:04yes071 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 05:00yes1315 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 03:42no08 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-14 23:29yes1327 s
Scale constrainedPerplexity Sonarsonar2026-09-15 02:03yes206 s
Scale constrainedGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 03:42yes08 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-09-15 03:06no09 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-15 02:56yes035 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 01:50yes02 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 00:56no044 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-15 00:58yes035 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 02:52yes038 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 02:27yes024 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-09-14 23:36yes2213 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 01:06yes35 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-09-15 03:56yes1625 s
Negative framingPerplexity Sonarsonar2026-09-15 03:27yes205 s
Negative framingGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 00:42yes012 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-09-14 23:24yes09 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-15 02:04yes067 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 04:23yes02 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-14 23:09yes033 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-09-15 02:58yes066 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 01:48yes023 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 04:38yes042 s

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
AutoRFP read as AutoRFP.ai
Conga read as Conga Composer
Conga (Composer) read as Conga Composer
Conga (Conga Composer / Conga CPQ) read as Conga Composer
Conga (Genesys) read as Conga Composer
Oracle read as Oracle CPQ
Unresolved, counted raw
GovWin
Microsoft Word online
Procore
PropCraft
ProposalSpace
ProposalWorkspace
SubcontractorHub
Tackl
TendOS
Tribble AI
Venngage
Discontinued, still offered
No shut-down product was recommended here.
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