Index › 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. 53 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.

Standing

PandaDoc

Contested

23% of first choices, contested.

ShowinginAll 73 categories in the September 2026 Edition →

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

PandaDoc49%Clear leaderStanding →Mid-market

PandaDoc49%Clear leaderStanding →Enterprise

PandaDoc23%ContestedThis page

01The 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

PandaDoc35%55criticized challenger

Responsive12%33accepted challenger

DealHub11%28accepted challenger

Conga11%28accepted challenger

GetAccept8%25accepted challenger

Loopio9%33accepted challenger

Proposify42%36criticized challenger

Better Proposals60%15criticized challenger

Show the two products at 0%, ordered by negative rate

Qwilr39%28criticized challenger

AutogenAI9%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 vendor page.

Head to head

PandaDoc vs Proposify PandaDoc vs Qwilr Proposify vs Qwilr

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 →

Accepted challengerEndorsed leader

0%First-choice share → · lines at 30% share and 25% negative40%

Key

PandaDoc23%

Responsive13%

DealHub11%

Conga8%

GetAccept8%

Loopio4%

Proposify2%

Better Proposals2%

AutogenAI0%

Qwilr0%

02What 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

03What they cite

Citations exist only for the models that return a source list: four of the twelve in this edition, and all six flagship models on the expanded tier.

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. 6 of those lists are Google grounding redirects that name no site and are left out of the counts. 215 links across 91 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.

getaccept.com

vendor site · GetAccept11 answers · 18 citations · 2 models

responsive.io

vendor site · Responsive9 answers · 14 citations · 3 models

autogenai.com

vendor site · AutogenAI7 answers · 8 citations · 2 models

sifthub.io

vendor site · SiftHub6 answers · 6 citations · 2 models

guideflow.com

vendor site · Guideflow5 answers · 6 citations · 2 models

flowcase.com

5 answers · 5 citations · 2 models

pandadoc.com

vendor site · PandaDoc5 answers · 5 citations · 3 models

swydo.com

5 answers · 5 citations · 2 models

toolradar.com

4 answers · 7 citations · 1 model

qwilr.com

vendor site · Qwilr4 answers · 6 citations · 1 model

proposify.com

vendor site · Proposify4 answers · 5 citations · 3 models

lindy.ai

vendor site · Lindy4 answers · 4 citations · 2 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.

getaccept.com/blog/proposal-software

10 answers · 2 models

autogenai.com/blog/best-proposal-management-software

7 answers · 2 models

getaccept.com/blog/proposal-software-platforms-for-enterprise-sales-teams

7 answers · 2 models

responsive.io/blog/best-proposal-software-comparison

7 answers · 2 models

sifthub.io/blog/best-proposal-software-tools

6 answers · 2 models

flowcase.com/blog/top-proposal-management-solutions-for-enterprise-12-solut…

5 answers · 2 models

guideflow.com/blog/best-proposal-software

5 answers · 2 models

swydo.com/blog/best-proposal-software

5 answers · 2 models

lindy.ai/blog/proposal-software

4 answers · 2 models

oneflow.com/blog/best-proposal-management-software

4 answers · 2 models

04How 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.

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 alternatives

ClientPoint, Conga, Oneflow, SiftHub

Conga, Salesforce CPQChanged

One alternative

DealHub

AutogenAI

Five alternatives

DealHub, Loopio, PandaDoc, Proposify, Responsive

Conga

One alternative

Responsive

no first choiceagainst: Bonsai, Conga, PandaDoc, Proposable, Proposify

GPT-5.4 miniLoopio, Responsive

Four alternatives

GetAccept, Oracle CPQ, Proposify, Qwilr

Salesforce CPQ / Salesforce Revenue ManagementChanged

Two alternatives

Conga CPQ, SAP CPQ

against: PandaDocResponsive

Two alternatives

Loopio, Qvidian

against: AutoRFP, AutogenAI, InventiveResponsive

Two alternatives

Presel, ProposalWorkspace

no first choiceagainst: PandaDoc

Gemini 3.5 FlashPandaDoc

Six alternatives

Conga Composer, DocuSign Gen & CLM, Loopio, Proposify, Qwilr, Responsive

Salesforce Revenue CloudChanged

Three alternatives

Conga, DealHub, PandaDoc

Loopio, Responsive

Five alternatives

AutogenAI, GetAccept, PandaDoc, Proposify, Upland Qvidian

AutoRFP.ai, Inventive AI

Three alternatives

Quoter, SubcontractorHub, Tribble AI

against: Loopio, PandaDoc, Proposify, ResponsiveResponsive

Two alternatives

Loopio, Qvidian

against: AutoRFP.ai, SiftHub, SparrowGenieagainst: Better Proposals, Bidsketch, Bonsai, Cone, DocuSign Gen, GetAccept, HoneyBook, Nusii, PandaDoc, Proposify, Prospero, Qwilr

Perplexity SonarGetAccept

Three alternatives

AutogenAI, PandaDoc, Responsive

Salesforce CPQ, Salesforce Revenue CloudChanged

Two alternatives

Conga CPQ, PandaDoc

no first choiceBetter Proposals

One alternative

GetAccept

against: PandaDocno first choiceagainst: Better Proposals, Bonsai, Nusii, Proposable, Proposify, Prospero, Qwilr

Grok 4.1 FastSalesforce Revenue Cloud

Two alternatives

Conga CPQ, Oracle CPQ

against: PandaDoc, ProposifySalesforce Revenue CloudHeld

Three alternatives

Conga CPQ, Oracle CPQ, SAP CPQ

against: DealHub, PandaDoc, ProposifyLoopio, Responsive

Two alternatives

Conga CPQ/Composer, Qvidian

against: PandaDoc, ProposifyGetAccept, PandaDoc

One alternative

Salesforce Revenue Cloud

against: Conga, DealHub, Proposifyno first choiceagainst: Adobe Acrobat Sign, Better Proposals, Bonsai, DocuSign, Nusii, PandaDoc, Proposify, Qwilr, Responsive, SAP Ariba

Mistral SmallGetAccept, PandaDoc

Two alternatives

Conga, DealHub

DealHubChanged

Four alternatives

Conga CPQ, GetAccept, PandaDoc, Proposify

Loopio

Four alternatives

Conga, DealHub, GetAccept, PandaDoc

Bidara

Three alternatives

PandaDoc, Qwilr, Vercor

PandaDoc

Four alternatives

GetAccept, Loopio, ProposalSpace, Qwilr

against: PandaDoc, Proposify, Qwilr

DeepSeek V4 FlashResponsive

Three alternatives

Loopio, QorusDocs, Qvidian

against: PandaDoc, QwilrCongaChanged

Four alternatives

DealHub, Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud

against: PandaDoc, ProposifyLoopio, Responsive

Four alternatives

AutogenAI, PandaDoc, Proposify, Qwilr

PandaDoc

One alternative

Loopio

against: Better Proposals, GetAccept, Qwilr, ResponsivePandaDoc

One alternative

Proposify

against: Qwilragainst: Better Proposals, PandaDoc, Proposify, Qwilr

Llama 4 MaverickProposify

Two alternatives

GetAccept, Qwilr

no first choiceChangedno first choiceOneflowno first choicenothing named

Qwen 3.7 FlashPandaDoc, Responsive

Two alternatives

Conga, Proposify

DealHubChanged

Three alternatives

Conga, PandaDoc, Qwilr

Loopio, Responsive

Five alternatives

Conga, Expedience, GetAccept, GovDash / GovWin, PandaDoc

GetAccept, PandaDoc

Two alternatives

Conga, DealHub

no first choiceagainst: Better Proposals, Canva, Conga, DealHub, PandaDoc, Prospero, Qwilr, Venngage

Kimi K2Qvidian, Responsive

Four alternatives

Conga, Loopio, PandaDoc, SiftHub

Conga, Salesforce Revenue CloudChanged

Two alternatives

Oracle CPQ, SAP CPQ

against: PandaDocLoopio, Responsive

Seven alternatives

AutogenAI, Conga CPQ, DealHub, PandaDoc, Proposify, QorusDocs, Qwilr

Conga CPQ/Document Automation, DealHub

Two alternatives

PandaDoc, Responsive

against: Better Proposals, Loopio, Proposify, Qwilrno first choiceagainst: Better Proposals, Bidsketch, Nusii, PandaDoc, Proposify, Qwilr

GLM 4.7 FlashXPandaDoc

Three alternatives

GetAccept, Proposify, Qwilr

DealHubChanged

Four alternatives

Conga, GetAccept, PandaDoc, Qwilr

GetAccept

Six alternatives

Conga, DealHub, PandaDoc, Proposify, Qwilr, Storydoc

PandaDoc

Three alternatives

DocuSign CLM, Proposify, Qwilr

Loopio, Responsive, Upland Qvidianagainst: Microsoft Word online, PandaDoc

MiniMax M2.5PandaDoc

Two alternatives

GetAccept, Salesforce CPQ

DealHubChanged

Three alternatives

Conga, PandaDoc, Responsive

no first choiceBidara

Three alternatives

Inventive AI, PropCraft, Vercor

against: Loopio, Qvidian, Responsiveno first choiceagainst: Better Proposals, PandaDoc, Proposify, QorusDocs

Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

05The 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

Seventy-two 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`	2026-09-15 04:21	yes	8	7 s
Direct recommendation	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-15 01:59	yes	4	5 s
Direct recommendation	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-14 23:01	yes	15	22 s
Direct recommendation	Perplexity Sonar	`sonar`	2026-09-15 00:08	yes	19	5 s
Direct recommendation	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-14 23:19	yes	0	7 s
Direct recommendation	Mistral Small	`mistral/mistral-small via mistral`	2026-09-15 03:55	yes	0	8 s
Direct recommendation	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via fireworks`	2026-09-15 02:28	yes	0	16 s
Direct recommendation	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-15 02:13	yes	0	2 s
Direct recommendation	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-15 04:35	yes	0	46 s
Direct recommendation	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-15 00:14	yes	0	31 s
Direct recommendation	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-15 04:28	yes	0	19 s
Direct recommendation	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-15 02:20	yes	0	17 s
Paraphrase	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-15 00:46	yes	7	7 s
Paraphrase	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-15 04:47	yes	4	5 s
Paraphrase	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-15 02:45	yes	9	24 s
Paraphrase	Perplexity Sonar	`sonar`	2026-09-15 03:25	yes	20	5 s
Paraphrase	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-14 23:54	yes	0	6 s
Paraphrase	Mistral Small	`mistral/mistral-small via mistral`	2026-09-15 01:47	yes	0	7 s
Paraphrase	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via deepinfra`	2026-09-15 01:51	yes	0	39 s
Paraphrase	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-15 00:40	yes	0	1 s
Paraphrase	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-15 05:01	no	0	40 s
Paraphrase	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-15 03:18	yes	0	36 s
Paraphrase	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-14 23:37	yes	0	59 s
Paraphrase	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-15 00:12	yes	0	16 s
Comparative	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-15 05:06	yes	13	11 s
Comparative	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-15 00:36	yes	5	7 s
Comparative	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-14 23:42	yes	30	25 s
Comparative	Perplexity Sonar	`sonar`	2026-09-15 03:23	yes	20	7 s
Comparative	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-15 03:08	yes	0	9 s
Comparative	Mistral Small	`mistral/mistral-small via mistral`	2026-09-15 00:03	yes	0	9 s
Comparative	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via fireworks`	2026-09-15 01:18	yes	0	22 s
Comparative	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-15 01:58	yes	0	2 s
Comparative	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-15 04:18	yes	0	40 s
Comparative	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-15 00:12	yes	0	41 s
Comparative	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-15 02:16	yes	0	21 s
Comparative	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-15 04:29	yes	0	11 s
Budget constrained	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-14 23:52	yes	13	8 s
Budget constrained	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-15 01:58	yes	4	5 s
Budget constrained	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-15 02:55	yes	19	27 s
Budget constrained	Perplexity Sonar	`sonar`	2026-09-14 23:25	yes	20	7 s
Budget constrained	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-15 00:26	yes	0	10 s
Budget constrained	Mistral Small	`mistral/mistral-small via mistral`	2026-09-15 00:46	yes	0	10 s
Budget constrained	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via deepinfra`	2026-09-15 02:05	yes	0	46 s
Budget constrained	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-15 05:02	yes	0	2 s
Budget constrained	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-15 01:20	yes	0	32 s
Budget constrained	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-15 02:23	yes	0	90 s
Budget constrained	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-14 23:51	yes	0	50 s
Budget constrained	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-15 05:04	yes	0	71 s
Scale constrained	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-15 05:00	yes	13	15 s
Scale constrained	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-15 03:42	no	0	8 s
Scale constrained	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-14 23:29	yes	13	27 s
Scale constrained	Perplexity Sonar	`sonar`	2026-09-15 02:03	yes	20	6 s
Scale constrained	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-15 03:42	yes	0	8 s
Scale constrained	Mistral Small	`mistral/mistral-small via mistral`	2026-09-15 03:06	no	0	9 s
Scale constrained	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via fireworks`	2026-09-15 02:56	yes	0	35 s
Scale constrained	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-15 01:50	yes	0	2 s
Scale constrained	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-15 00:56	no	0	44 s
Scale constrained	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-15 00:58	yes	0	35 s
Scale constrained	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-15 02:52	yes	0	38 s
Scale constrained	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-15 02:27	yes	0	24 s
Negative framing	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-14 23:36	yes	22	13 s
Negative framing	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-15 01:06	yes	3	5 s
Negative framing	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-15 03:56	yes	16	25 s
Negative framing	Perplexity Sonar	`sonar`	2026-09-15 03:27	yes	20	5 s
Negative framing	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-15 00:42	yes	0	12 s
Negative framing	Mistral Small	`mistral/mistral-small via mistral`	2026-09-14 23:24	yes	0	9 s
Negative framing	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via deepinfra`	2026-09-15 02:04	yes	0	67 s
Negative framing	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-15 04:23	yes	0	2 s
Negative framing	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-14 23:09	yes	0	33 s
Negative framing	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-15 02:58	yes	0	66 s
Negative framing	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-15 01:48	yes	0	23 s
Negative framing	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-15 04:38	yes	0	42 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

Category-scoped readings

Oracle read as Oracle CPQ

Unresolved, counted raw

Conga CPQ/Composer

Conga CPQ/Document Automation

Conga Composer

DocuSign Gen & CLM

GovDash

GovWin

Inventive

Microsoft Word online

Presel

Procore

PropCraft

ProposalSpace

ProposalWorkspace

RocketDocs

Salesforce CPQ / Salesforce Revenue Management

SparrowGenie

SubcontractorHub

Tackl

TendOS

Thalamus AI

Tribble AI

Venngage

VisibleThread

Discontinued, still offered

No shut-down product was recommended here.

Proposal software for enterprise buyers

By buyer segment

01The standing

Recommended versus criticized

02What they warned about

03What they cite

Sites the answers cite

Pages the answers cite

04How they answered

05The record

Normalization in this category

Also in revenue operations