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RFP response software · October 2026 Edition

Responsive vs DeepRFP

Three of fourteen models named Responsive first on the direct prompt; zero named DeepRFP. Responsive was named by fourteen of the fourteen models and DeepRFP by eight and Responsive carries 46 labels and DeepRFP 10, so the shares are not directly comparable.

Responsive

accepted challenger

founded 2015. Named in two categories this edition.

DeepRFP

accepted challenger

Named in one category this edition.

First-choice share14%7%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate20%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#4A position in a field of 10; printed, not drawn.
Labels4610A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Responsive reading right to left. Rank and label count are printed, not drawn.Loopio was named alongside these two in thirteen of the fourteen direct answers. Loopio vs Responsive · Loopio vs DeepRFP · PandaDoc vs Responsive

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; every quote names the model and the prompt it came from. Both figures come from the RFP response software page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
ResponsiveFirst choices, of fourteen modelsDeepRFP
Direct301 against Responsive
Paraphrase10
Comparative60
Budget-constrained043 against Responsive
Scale-constrained40
Negative105 against Responsive
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, Responsive and DeepRFP were named in the same answer twenty-five times, of the 219 answers naming Responsive and the 38 naming DeepRFP. In those answers DeepRFP took the first choice twelve times and Responsive one.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Responsive and DeepRFP stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Responsive DeepRFP first choice named as an alternative argued againstblank: not namedEach cell is one answer, Responsive on the left and DeepRFP on the right.

The direct prompt

The plain question, one answer per model, grouped by where Responsive and DeepRFP stood in it.

Responsive first, DeepRFP not the choice

3 of 14 modelsDeepRFP was named in the answer but not as the choice, or not at all.
Grok 4.1 FastResponsive alternatives: Loopio
Mistral SmallLoopio, Responsive alternatives: Expedience Proposal Software, Proposify
MiniMax M2.5Loopio, Responsive alternatives: SiftHub, Upland Qvidian

Neither was the first choice, one was named

7 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniLoopio alternatives: Responsive
Perplexity SonarLoopio alternatives: Responsive
DeepSeek V4 FlashLoopio alternatives: AutoRFP.ai, Proposify, QorusDocs, Responsive
Kimi K2Loopio alternatives: AutoRFP.ai, PandaDoc, Responsive
GLM 4.7 FlashXLoopio alternatives: Responsive, Upland Qvidian
GPT-6 LunaLoopio alternatives: Responsive
Muse Glimmer 30BLoopio alternatives: AutoRFP.ai, Responsive

Neither was named

4 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Tribble alternatives: AutoRFP.ai, Loopio, Steerlab
Gemini 3.5 FlashTribble alternatives: AutoRFP.ai, Loopio, Steerlab
Llama 4 MaverickExpedience Proposal Software alternatives: AutoRFP.ai, Conveyor
Qwen 3.7 FlashAutoRFP.ai, Loopio alternatives: Qwilr, Upland Qvidian

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
DeepRFP leads by twelve points.
DeepRFP16%#2 of 14
Responsive4%#7 of 14
The full small business standing →
Mid-marketThe figures above
The order flips: Responsive leads at mid-market.
Responsive14%#3 of 10
DeepRFP7%#4 of 10
The full mid-market standing →
Enterprise
Responsive leads by fifty-six points.
Responsive56%#1 of 8
DeepRFP0%#– of 8
The full enterprise standing →

What the models said about Responsive

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.

“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 DeepRFP

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“The best RFP response software for a company with a limited budget is DeepRFP, as it is the low-friction choice for freelancers or very small teams on a tight budget.” Llama 4 Maverick · budget prompt · first choice
“DeepRFP and iQuoteXpress offer the most transparent, truly affordable pricing for budget-conscious companies.” Claude Haiku 4.5 · budget prompt · first choice
“My recommendation: Start with DeepRFP or BreezeDocs if you need AI assistance” Kimi K2 · budget prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.