# Responsive vs AutoRFP.ai: which do AI models recommend for RFP response, October 2026

GTM AI Recommendation Index, October 2026 Edition, RFP response software. Three of fourteen models named Responsive first on the direct prompt; one named AutoRFP.ai. Page: https://gtm-ai-index.com/sales/rfp-response-software/responsive-vs-autorfp-ai/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Responsive | 14% | #3 of 10 | 20% | 46 | 14 of 14 |
| AutoRFP.ai | 2% | #6 of 10 | 5% | 21 | 11 of 14 |

## The direct prompt, model by model

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

## What the models said about Responsive

- "Be Cautious With: Responsive (formerly RFPIO) ... This is the most criticized major platform based on consistent negative feedback" (Qwen 3.7 Flash, negative prompt, hard negative)
- "The AI assistant that generates RFP responses isn't always reliable, and users say it often repeats content from the library instead of creating accurate, tailored answers." (Claude Haiku 4.5, negative prompt, soft negative)
- "It has a very steep learning curve and can be intimidating for casual SME reviewers. Implementation can take anywhere from 1 to 2 months." (Gemini 3.5 Flash, direct prompt, soft negative)
- "Shortlist 3-5 Tools: Responsive (enterprise-grade collaboration), Loopio (content-focused), Arphie/1up (AI-heavy for speed), Upland Qvidian (analytics-rich)." (Grok 4.1 Fast, scale 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)
- "focus on those specifically designed for RFP workflows like Loopio, Responsive (formerly RFPIO), or Qvidian" (MiniMax M2.5, negative prompt, first choice)

## What the models said about AutoRFP.ai

- "priced out of AutoRFP.ai's $899/month Scale plan" (DeepSeek V4 Flash, budget prompt, soft negative)
- "points to Loopio and AutoRFP.ai as the top two contenders for this specific segment" (Qwen 3.7 Flash, direct prompt, first choice)
- "Best for: High-growth SaaS and financial services companies requiring extreme accuracy and source transparency." (Gemini 3.5 Flash, direct prompt, alternative)
- "Prioritize tools like Loopio, Responsive, or AI-native ones (e.g., 1up, AutoRFP.ai) with proven traceability." (Grok 4.1 Fast, negative prompt, alternative)

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.