# Loopio vs Proposify: which do AI models recommend for RFP response, October 2026

GTM AI Recommendation Index, October 2026 Edition, RFP response software. Ten of fourteen models named Loopio first on the direct prompt; zero named Proposify. Page: https://gtm-ai-index.com/sales/rfp-response-software/loopio-vs-proposify/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Loopio | 25% | #1 of 10 | 16% | 56 | 14 of 14 |
| Proposify | 5% | #5 of 10 | 28% | 32 | 14 of 14 |

## The direct prompt, model by model

- GPT-5.4 mini: loopio first (first choices: Loopio) (alternatives: Responsive)
- Perplexity Sonar: loopio first (first choices: Loopio) (alternatives: Responsive)
- Mistral Small: loopio first (first choices: Loopio, Responsive) (alternatives: Expedience Proposal Software, Proposify)
- DeepSeek V4 Flash: loopio first (first choices: Loopio) (alternatives: AutoRFP.ai, Proposify, QorusDocs, Responsive)
- Qwen 3.7 Flash: loopio first (first choices: AutoRFP.ai, Loopio) (alternatives: Qwilr, Upland Qvidian)
- Kimi K2: loopio first (first choices: Loopio) (alternatives: AutoRFP.ai, PandaDoc, Responsive)
- GLM 4.7 FlashX: loopio first (first choices: Loopio) (alternatives: Responsive, Upland Qvidian)
- MiniMax M2.5: loopio first (first choices: Loopio, Responsive) (alternatives: SiftHub, Upland Qvidian)
- GPT-6 Luna: loopio first (first choices: Loopio) (alternatives: Responsive)
- Muse Glimmer 30B: loopio first (first choices: Loopio) (alternatives: AutoRFP.ai, Responsive)
- Claude Haiku 4.5: neither first, one named (first choices: Tribble) (alternatives: AutoRFP.ai, Loopio, Steerlab)
- Gemini 3.5 Flash: neither first, one named (first choices: Tribble) (alternatives: AutoRFP.ai, Loopio, Steerlab)
- Grok 4.1 Fast: neither first, one named (first choices: Responsive) (alternatives: Loopio)
- Llama 4 Maverick: neither named (first choices: Expedience Proposal Software) (alternatives: AutoRFP.ai, Conveyor)

## What the models said about Loopio

- "Loopio specifically called out as "not AI-native"—built in 2014 with AI added around 2021" (Kimi K2, negative prompt, hard negative)
- "The answers Magic populates are surface-level at best, and the feature fails to generate responses for complex RFP requirements and often needs a lot of manual editing." (Claude Haiku 4.5, negative prompt, soft negative)
- "Full-blown enterprise RFP suites (like Loopio or Responsive) typically start at $10,000–$20,000+ per year, which is out of reach" (DeepSeek V4 Flash, budget prompt, soft negative)
- "Best for structured proposal teams with dedicated content managers who need a strong content library, easier content reuse, and reliable customer support." (Claude Haiku 4.5, comparative prompt, first choice)
- "Widely regarded as the most intuitive interface with the lowest learning curve. Teams can often be onboarded in days rather than months." (Qwen 3.7 Flash, comparative prompt, first choice)
- "mainstream platforms (like Responsive/RFPIO, Loopio, or AI-first startups like 1up.ai or Tribble) are ideal" (Gemini 3.5 Flash, scale prompt, first choice)

## What the models said about Proposify

- "General proposal tools like Proposify and PandaDoc: These excel at sales proposals but fall short for true RFPs." (Grok 4.1 Fast, negative prompt, hard negative)
- "Proposify and PandaDoc - They are proposal tools rather than RFP tools, and the difference matters." (Llama 4 Maverick, negative prompt, hard negative)
- "Proposify and PandaDoc are frequently cited as problematic choices for RFP response work" (Kimi K2, negative prompt, hard negative)
- "I'd generally recommend Proposify as the default choice." (GPT-5.4 mini, paraphrase prompt, first choice)
- "I'd recommend Proposify as the default choice" (Perplexity Sonar, paraphrase prompt, first choice)
- "Start with Proposify for sales proposals" (GPT-6 Luna, paraphrase prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen 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.