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RFP response software · October 2026 Edition

PandaDoc vs Responsive

Zero of fourteen models named PandaDoc first on the direct prompt; three named Responsive. Both were named by all fourteen models and PandaDoc carries 35 labels and Responsive 46, so the shares are not directly comparable.

PandaDoc

criticized challenger

South San Francisco, United States, founded 2013. Named in seven categories this edition.

Responsive

accepted challenger

founded 2015. Named in two categories this edition.

First-choice share16%14%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate31%20%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 10; printed, not drawn.
Labels3546A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, PandaDoc 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 PandaDoc · Loopio vs Responsive · PandaDoc vs DeepRFP

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.
PandaDocFirst choices, of fourteen modelsResponsive
Direct031 against Responsive
Paraphrase91
Comparative062 against PandaDoc
Budget-constrained003 against Responsive
Scale-constrained042 against PandaDoc
Negative017 against PandaDoc · 5 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, PandaDoc and Responsive were named in the same answer 110 times, of the 559 answers naming PandaDoc and the 219 naming Responsive. In those answers Responsive took the first choice thirty-one times and PandaDoc twenty-two.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where PandaDoc and Responsive 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
PandaDoc Responsive first choice named as an alternative argued againstblank: not namedEach cell is one answer, PandaDoc on the left and Responsive on the right.

The direct prompt

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

Responsive first, PandaDoc not the choice

3 of 14 modelsPandaDoc 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
PandaDoc leads by twenty-nine points.
PandaDoc33%#1 of 14
Responsive4%#7 of 14
The full small business standing →
Mid-marketThe figures above
PandaDoc leads by two points.
PandaDoc16%#2 of 10
Responsive14%#3 of 10
The full mid-market standing →
Enterprise
The order flips: Responsive leads at enterprise.
Responsive56%#1 of 8
PandaDoc2%#5 of 8
The full enterprise standing →

What the models said about PandaDoc

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

“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 are frequently cited as problematic choices for RFP response work” Kimi K2 · negative prompt · hard negative
“These are *proposal/presentation* tools, not true RFP management platforms.” Qwen 3.7 Flash · negative prompt · hard negative

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
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.