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RFP response software · November 2026 Edition

PandaDoc vs Responsive

Zero of fourteen models named PandaDoc first on the direct prompt; five named Responsive. Both were named by all fourteen models and PandaDoc carries 35 labels and Responsive 60, so the shares are not directly comparable.

PandaDoc

criticized challenger

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

Responsive

criticized challenger

founded 2015. Named in two categories this edition.

First-choice share20%11%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate26%28%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 11; printed, not drawn.
Labels3560A 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 1up

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
Direct05
Paraphrase1111 against Responsive
Comparative083 against PandaDoc
Budget-constrained008 against Responsive
Scale-constrained001 against PandaDoc
Negative015 against PandaDoc · 8 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 November 2026 Edition, PandaDoc and Responsive were named in the same answer 142 times, of the 598 answers naming PandaDoc and the 249 naming Responsive. In those answers Responsive took the first choice thirty-five times and PandaDoc forty-five.

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 4.20
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 an alternative

5 of 14 modelsPandaDoc was named in the answer but not as the choice, or not at all.
DeepSeek V4 FlashLoopio, Responsive alternatives: PandaDoc
Kimi K2Loopio, Responsive alternatives: PandaDoc
GLM 4.7 FlashXLoopio, Responsive alternatives: Better Proposals, eBuyerAssist Platform
MiniMax M2.5Responsive alternatives: Loopio, PandaDoc
Muse Glimmer 30BLoopio, Responsive alternatives: 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, Upland Qvidian
Gemini 3.5 FlashLoopio alternatives: AutoRFP.ai, Inventive AI, QorusDocs, Responsive
Perplexity SonarLoopio alternatives: RequestFX, Responsive, Steerlab
Grok 4.20Loopio alternatives: PandaDoc, Proposify, Qwilr, Responsive
Mistral SmallLoopio alternatives: Responsive, Upland Qvidian
Qwen 3.7 FlashLoopio alternatives: CQ Core, Responsive, Upland Qvidian
GPT-6 LunaLoopio alternatives: Responsive

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Loopio, Steerlab alternatives: AutoRFP.ai, SiftHub
Llama 4 Maverickno first choice

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-eight points.
PandaDoc30%#1 of 12
Responsive2%#8 of 12
The full small business standing →
Mid-marketThe figures above
PandaDoc leads by nine points.
PandaDoc20%#2 of 11
Responsive11%#3 of 11
The full mid-market standing →
Enterprise
The order flips: Responsive leads at enterprise.
Responsive60%#1 of 10
PandaDoc4%#5 of 10
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. Four of four in this category shown.

“primarily sales proposal tools and are not designed for the specific workflows and compliance needs of RFP responses” Mistral Small · negative prompt · hard negative
“Proposify and PandaDoc are proposal tools rather than RFP tools and the difference matters.” Muse Glimmer 30B · negative prompt · hard negative
“Start with PandaDoc if you need a general sales proposal tool—it offers the best combination of functionality, integrations, and price for growing teams.” Kimi K2 · paraphrase prompt · first choice
“PandaDoc is the most frequently recommended default because of its mid-market G2 leadership, CRM integration depth and proposal-to-contract coverage.” Muse Glimmer 30B · paraphrase prompt · first choice

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 eight in this category shown.

“Responsive (formerly RFPIO) - Multiple users report: Complicated UI with non-intuitive features - Steep learning curve (71+ mentions on G2)” GLM 4.7 FlashX · negative prompt · hard negative
“Avoid enterprise platforms such as Responsive, Loopio, or Qvidian until proposal volume and revenue justify custom-priced software” Perplexity Sonar · budget prompt · hard negative
“Avoid for mid-sized: Enterprise tools like Responsive (better for large corps with dedicated RFP teams)” Grok 4.20 · paraphrase prompt · hard negative
“Prefer specialized RFP response platforms ... (e.g., Responsive/formerly RFPIO, Loopio, or alternatives like RocketDocs, Tribble, or AutoRFP.ai)” Grok 4.20 · negative prompt · first choice
“the two names that consistently top the lists for RFP response / Strategic Response Management are Responsive, formerly RFPIO, and Loopio” Muse Glimmer 30B · direct prompt · first choice
“Responsive is one of the most comprehensive platforms on the market... Unmatched scalability and governance for large organizations” Gemini 3.5 Flash · comparative 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.