# Proposify vs Better Proposals: which do AI models recommend for proposals, September 2026

GTM AI Recommendation Index, September 2026 Edition, Proposal software. Three of twelve models named Proposify first on the direct prompt; zero named Better Proposals. Page: https://gtm-ai-index.com/revops/proposal-software/proposify-vs-better-proposals/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Proposify | 13% | #2 of 10 | 17% | 54 | 12 of 12 |
| Better Proposals | 2% | #4 of 10 | 15% | 34 | 12 of 12 |

## The direct prompt, model by model

- GPT-5.4 mini: proposify first (first choices: Proposify) (alternatives: Better Proposals, Quoter)
- Llama 4 Maverick: proposify first (first choices: Proposify) (alternatives: Loopio, PandaDoc, Qwilr)
- GLM 4.7 FlashX: proposify first (first choices: Proposify, Qwilr) (alternatives: PandaDoc)
- Gemini 3.5 Flash: neither first, one named (first choices: PandaDoc) (alternatives: GetAccept, Loopio, Proposify, Qwilr, SiftHub, Trumpet)
- Perplexity Sonar: neither first, one named (first choices: PandaDoc) (alternatives: Proposify)
- Grok 4.1 Fast: neither first, one named (first choices: PandaDoc) (alternatives: GetAccept, Proposify)
- Mistral Small: neither first, one named (first choices: PandaDoc) (alternatives: GetAccept, Proposify, Qwilr)
- DeepSeek V4 Flash: neither first, one named (first choices: PandaDoc) (alternatives: DealHub, Loopio, Proposify, Qwilr)
- Qwen 3.7 Flash: neither first, one named (first choices: PandaDoc) (alternatives: Loopio, Proposify, Qwilr)
- Kimi K2: neither first, one named (first choices: PandaDoc, Qwilr) (alternatives: Proposify)
- MiniMax M2.5: neither first, one named (first choices: PandaDoc) (alternatives: Proposify, Qwilr)
- Claude Haiku 4.5: neither named (first choices: PandaDoc) (alternatives: ClientPoint, DealHub, Proposable)

## What the models said about Proposify

- "Proposify — Multiple Critical Issues ... Proposify and SAP Ariba have the most severe and well-documented problems." (Kimi K2, negative prompt, hard negative)
- "Frequent reports of poor customer service ... Trustpilot rating ~2.3/5; some call it "buggy and unusable."" (Grok 4.1 Fast, negative prompt, hard negative)
- "Predatory billing practices - Charging after cancellation, making refunds nearly impossible" (Mistral Small, negative prompt, hard negative)
- "my default pick would be Proposify if you want a balanced mix of proposal creation, approvals, tracking, and CRM-friendly workflow" (GPT-5.4 mini, direct prompt, first choice)
- "For most mid-market B2B companies, Proposify or Qwilr are the strongest starting points" (GLM 4.7 FlashX, direct prompt, first choice)
- "the best sales proposal and quote document tool for a mid-sized B2B company would be Proposify" (Llama 4 Maverick, paraphrase prompt, first choice)

## What the models said about Better Proposals

- "Better Proposals — Highest Concern ... Vendor lock-in / data hostage ... Fake/misleading integrations" (DeepSeek V4 Flash, negative prompt, hard negative)
- "HIGH RISK - Avoid These Tools ... 1. Better Proposals" (Mistral Small, negative prompt, hard negative)
- "some users have raised ethical concerns in reviews regarding how the company handled early adopters who pre-paid for lifetime accounts" (Gemini 3.5 Flash, negative prompt, soft negative)
- "the best choice is usually Better Proposals if you want a focused proposal tool" (Perplexity Sonar, budget prompt, first choice)
- "Better Proposals is an industry favorite. * The Catch: The budget-friendly Starter plan caps you at 5 active proposals" (Gemini 3.5 Flash, budget prompt, alternative)
- "Best for freelancers: Better Proposals ($13–$21/month) - combines proposals, signatures, and payments." (GLM 4.7 FlashX, budget prompt, alternative)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.