# Proposal software for enterprise buyers: what AI models recommend, September 2026

GTM AI Recommendation Index, September 2026 Edition. Asked as "proposal software" and as "sales proposal and quote document tool", six framings each, to twelve models with search on, on behalf of an enterprise B2B company. Page: https://gtm-ai-index.com/revops/proposal-software/enterprise/

**Standing:** PandaDoc leads with 23% of first choices; verdict contested. 53 first choices across the direct, paraphrase, budget and scale prompts.

## First-choice share

| # | Product | Share | Negative rate | Labels |
|---|---|---|---|---|
| 1 | PandaDoc | 23% | 35% | 55 |
| 2 | Responsive | 13% | 12% | 33 |
| 3 | DealHub | 11% | 11% | 28 |
| 4 | Conga | 8% | 11% | 28 |
| 5 | GetAccept | 8% | 8% | 25 |
| 6 | Loopio | 4% | 9% | 33 |
| 7 | Proposify | 2% | 42% | 36 |
| 8 | Better Proposals | 2% | 60% | 15 |
| 9 | AutogenAI | 0% | 9% | 11 |
| 10 | Qwilr | 0% | 39% | 28 |

## Each model's first choice on the direct prompt

- Claude Haiku 4.5: DealHub, PandaDoc; alternatives ClientPoint, Conga, Oneflow, SiftHub
- GPT-5.4 mini: Loopio, Responsive; alternatives GetAccept, Oracle CPQ, Proposify, Qwilr
- Gemini 3.5 Flash: PandaDoc; alternatives Conga Composer, DocuSign Gen & CLM, Loopio, Proposify
- Perplexity Sonar: GetAccept; alternatives AutogenAI, PandaDoc, Responsive
- Grok 4.1 Fast: Salesforce Revenue Cloud; alternatives Conga CPQ, Oracle CPQ
- Mistral Small: GetAccept, PandaDoc; alternatives Conga, DealHub
- DeepSeek V4 Flash: Responsive; alternatives Loopio, QorusDocs, Qvidian
- Llama 4 Maverick: Proposify; alternatives GetAccept, Qwilr
- Qwen 3.7 Flash: PandaDoc, Responsive; alternatives Conga, Proposify
- Kimi K2: Qvidian, Responsive; alternatives Conga, Loopio, PandaDoc, SiftHub
- GLM 4.7 FlashX: PandaDoc; alternatives GetAccept, Proposify, Qwilr
- MiniMax M2.5: PandaDoc; alternatives GetAccept, Salesforce CPQ

## Sources the answers cite

23 of 72 answers came back with a source list, from 4 of 12 models. Sites named in the most answers:

- getaccept.com: 11 answers, 18 citations
- responsive.io: 9 answers, 14 citations
- autogenai.com: 7 answers, 8 citations
- sifthub.io: 6 answers, 6 citations
- guideflow.com: 5 answers, 6 citations
- flowcase.com: 5 answers, 5 citations
- pandadoc.com: 5 answers, 5 citations
- swydo.com: 5 answers, 5 citations

Pages named in the most answers:

- https://getaccept.com/blog/proposal-software (10 answers)
- https://autogenai.com/blog/best-proposal-management-software (7 answers)
- https://getaccept.com/blog/proposal-software-platforms-for-enterprise-sales-teams (7 answers)
- https://responsive.io/blog/best-proposal-software-comparison (7 answers)
- https://sifthub.io/blog/best-proposal-software-tools (6 answers)
- https://flowcase.com/blog/top-proposal-management-solutions-for-enterprise-12-solutions-compared (5 answers)
- https://guideflow.com/blog/best-proposal-software (5 answers)
- https://swydo.com/blog/best-proposal-software (5 answers)
- https://lindy.ai/blog/proposal-software (4 answers)
- https://oneflow.com/blog/best-proposal-management-software (4 answers)

## Warned against

- PandaDoc: 19 of 55 labels negative. "Verdict: Avoid for enterprise bid management, RFP response, government contracting, or formal compliance-heavy procurement." (DeepSeek V4 Flash, negative prompt)
- Proposify: 15 of 36 labels 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: 11 of 28 labels negative. "Avoid general-purpose tools like Proposify, Qwilr, or PandaDoc for federal work requiring SF330 compliance" (Mistral Small, negative prompt)
- Better Proposals: 9 of 15 labels negative. "Limited enterprise features: Lacks sophisticated analytics, advanced engagement tracking, and extensive security/compliance features" (Kimi K2, negative prompt)

## Record

- Method: https://gtm-ai-index.com/methodology/
- Raw judge labels and full responses: https://gtm-ai-index.com/data/
- License: CC BY 4.0. Cite as GTM AI Recommendation Index, September 2026 Edition, gtm-ai-index.com.