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Index › Sales › RFP response › Small business › October 2026 Edition

RFP response software for small business buyers

Asked as “RFP response software”, and as “proposal management software”, on behalf of a small B2B company. 51 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the October 2026 Edition on October 4, 2026; its answers are read by the distilled judge (ai-indexes-judge-qwen3-14b-run3), not the claude-opus-5 judge of the earlier categories: how the two compare.
Standing · first-choice share
33%
Contested · DeepRFP 16%
33PandaDoc16DeepRFP14PowerRFP37others

33% of first choices, contested.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.

The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
01PandaDoc33%21%39endorsed leader
02DeepRFP16%0%26accepted challenger
03PowerRFP14%0%10accepted challenger
04Inventive AI4%0%16accepted challenger
05Proposify4%29%31criticized challenger
06Loopio4%55%44criticized challenger
07Responsive4%57%44criticized challenger
08AutoRFP.ai2%16%25accepted challenger
091up2%0%15accepted challenger
10Better Proposals2%7%14accepted challenger
Show the four products at 0%, ordered by negative rate
14Upland Qvidian0%75%20criticized challenger
13Arphie0%18%11accepted challenger
12Qwilr0%9%11accepted challenger
11SiftHub0%0%11accepted challenger
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All twenty-eight head-to-head pages: the top eight products, each against each

Recommended versus criticized

Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.

Criticized challengerCriticized default
Negative label rate →
01
02
03
04
05
06
07
08
09
10
11
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14
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01PandaDoc33%
02DeepRFP16%
03PowerRFP14%
04Inventive AI4%
05Proposify4%
06Loopio4%
07Responsive4%
08AutoRFP.ai2%
091up2%
10Better Proposals2%
11SiftHub0%
12Qwilr0%
13Arphie0%
14Upland Qvidian0%

What they warned about

One of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Loopio
55%
24 of 44 labels negative · 12 of 14 models · 10 hard negative
“Loopio and Responsive start at $20,000 per year and assume you have a proposal operations function to run them, making them oversized” Claude Haiku 4.5, negative prompt
Responsive
57%
25 of 44 labels negative · 11 of 14 models · 11 hard negative
“**Avoid Enterprise Tools:** Tools like **Loopio**, **Qvidian**, or **RFPIO** ... are generally overkill for small companies” Qwen 3.7 Flash, direct prompt
Upland Qvidian
75%
15 of 20 labels negative · 10 of 14 models · 9 hard negative
“**Avoid Enterprise Tools:** Tools like **Loopio**, **Qvidian**, or **RFPIO** ... are generally overkill for small companies” Qwen 3.7 Flash, direct prompt
Proposify
29%
9 of 31 labels negative · 8 of 14 models · 3 hard negative
“Tools like PandaDoc and Proposify are fantastic for sending out standard, beautiful, web-based sales pitches and contracts.” Gemini 3.5 Flash, negative prompt

What they cite

Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.

Sites the answers cite

79 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1011 links across 131 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 252 answers across every segment cited this index's own page for the category.

vendor site · Responsive51 answers · 104 citations · 13 models
vendor site · Inventive49 answers · 98 citations · 12 models
vendor site · SiftHub45 answers · 61 citations · 12 models
38 answers · 66 citations · 13 models
vendor site · BidSparq31 answers · 40 citations · 11 models
vendor site · Guideflow29 answers · 30 citations · 11 models
vendor site · DeepRFP25 answers · 31 citations · 11 models
23 answers · 23 citations · 11 models
vendor site · Loopio17 answers · 21 citations · 8 models
vendor site · Storyflow17 answers · 17 citations · 10 models
vendor site · AutoRFP.ai15 answers · 20 citations · 7 models
vendor site · Vercor15 answers · 16 citations · 9 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

Search against answers

Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best rfp response software”, “rfp response software”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
Company and productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 daysBest Google position
PandaDoc pandadoc.com33%52760,500510425,196$42,516119
DeepRFP deeprfp.com16%381700677
PowerRFP powerrfp.com14%19100792
BreezeDocs breezedocs.ai
Breeze Docs 4%, BreezeDocs 2%
6%12
Inventive AI inventive.ai4%502605589,514$69447
Proposify proposify.com4%2743,6002838,10327
Loopio loopio.com4%2203,600804,64026
Responsive responsive.io4%21312,100210,14137,620165
AutoRFP autorfp.ai
AutoRFP.ai 2%, AutoRFP 2%
4%7670038,77122
1up 1up.ai2%2618,1003,79710,732$29322

Google's top ten for the two searches hold 13 sites; 4 of them are among the sites the models cited here (autorfp.ai, inventive.ai, responsive.io, sifthub.io). The first result for “best rfp response software” is kantiv.com.

How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHide
ModelDirect“What is the best RFP response software for a small B2B company?”Paraphrase“Which proposal management software would you recommend to a small business that sells to other businesses?”Comparative“What are the top RFP response tools for a small team and how do they differ?”Budget-constrained“What is the best RFP response software for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a RFP response software. What should we look at?”Negative“Which RFP response tools should a small business avoid or be cautious about?”
Claude Haiku 4.5DeepRFP, Inventive AI
One alternativeResponsive
PandaDocChanged
Three alternativesBetter Proposals, Proposify, Qwilr
DeepRFP
Two alternativesAutoRFP AI, HeyIris
PowerRFP
Three alternativesAutoRFP.ai, DeepRFP, QorusDocs
no first choiceagainst: Arphie, Loopio, Proposable, Proposify, Responsive
GPT-5.4 miniResponsive
Four alternativesAutoRFP.ai, Loopio, Tribble, Upland Qvidian
PandaDocChanged
Two alternativesProposify, Qwilr
Loopio
Two alternativesPandaDoc, Responsive
against: Upland Qvidian
RFP Response Builder
One alternativeLoopio
no first choicenothing named
Gemini 3.5 FlashDeepRFP
Four alternatives1up.ai, AutoRFP.ai, SiftHub, Vercor
against: Loopio, Responsive
PandaDocChanged
Four alternativesBetter Proposals, Proposify, Prospero, Qwilr
AutoRFP.ai
Four alternatives1up.ai, Arphie, SiftHub, Winify AI
against: Loopio, Responsive
Cobl
Five alternatives1up.ai, Bidara, DeepRFP, PandaDoc, Proposify
against: Loopio, Responsive
Steerlab
Three alternatives1up, AutoRFP.ai, SiftHub
against: Loopio, Responsive
against: Better Proposals, Loopio, Ombud, PandaDoc, Proposify, Responsive, Upland Qvidian
Perplexity SonarAutoRFP.ai, Inventive AI
Two alternativesProposify, SiftHub
PandaDocChanged
One alternativeBetter Proposals
DeepRFP, Responsive
Three alternativesLoopio, Thalamus AI, Tribble
against: QorusDocs
PowerRFP
Two alternativesBreeze Docs, DeepRFP
against: Loopio, Responsive
no first choiceagainst: 1up.ai, AutoRFP.ai, Conveyor, Loopio, Ombud, PandaDoc, Proposify, Responsive, Upland Qvidian
Grok 4.1 FastPandaDoc, Proposify
Two alternativesAutoRFP.ai, DeepRFP
against: Loopio, Responsive
PandaDocChanged
Three alternativesBetter Proposals, Proposify, Qwilr
AutoRFP.ai, Inventive AI
Three alternativesDeepRFP, Loopio, Responsive
against: PandaDoc, Proposify
PowerRFP
One alternative1up
against: AutoRFP.ai
no first choiceagainst: Arphie, Loopio, Ombud, PandaDoc, Proposify, Responsive, Upland Qvidian, Vendorful
Mistral SmallBreeze Docs
Two alternatives1up, Steerlab
PandaDocChanged
Two alternativesBetter Proposals, Proposify
1up, Arphie, Tribble
Two alternativesInventive AI, Responsive
against: Loopio
PowerRFP
Two alternativesPandaDoc, Proposify
no first choice
Seven alternativesDocuSign Gen, GetAccept, Loopio, PandaDoc, Prospero, Responsive, Upland Qvidian
against: PandaDoc, Proposify
DeepSeek V4 FlashPandaDoc
Three alternatives1up, Breeze Docs, Loopio
against: Responsive
PandaDocHeld
Two alternativesBetter Proposals, Proposify
BidSparq, DeepRFP, RFP Matrix
Two alternativesLoopio, Responsive
DeepRFP
Three alternativesBidSparq, PandaDoc, PowerRFP
against: Loopio, Responsive, Upland Qvidian
AutoRFP
Three alternativesDeepRFP, Loopio, SiftHub
against: Responsive, Upland Qvidian
against: Bonfire, ChatGPT, Claude, Gemini, JAGGAER, Loopio, ProcureNow, Responsive, SAP Ariba, Upland Qvidian
Llama 4 MaverickDeepRFP
Three alternativesBreeze Docs, SiftHub, Steerlab
no first choiceChangedno first choicePowerRFP
Two alternativesAutoRFP.ai, Responsive.io
no first choiceagainst: Ombud
Qwen 3.7 FlashDeepRFP
Two alternativesBreeze Docs, Steerlab
against: Loopio, Responsive, Upland Qvidian
PandaDocChanged
Two alternativesBetter Proposals, Qwilr
Inventive AI
Four alternativesArphie, AutoRFP.ai, DeepRFP, Responsive.io
Loopio
Three alternativesKiflo, Proposify, ResponseFox
no first choiceagainst: Salesforce CPQ, VLocateagainst: Asana, Monday.com, Responsive, Trello, Upland Qvidian
Kimi K2BreezeDocs, DeepRFP
Two alternativesPandaDoc, Vercor
against: AutoRFP.ai, Loopio, Responsive
PandaDocChanged
Four alternativesBetter Proposals, GetAccept, Proposify, Qwilr
Arphie, DeepRFP
Four alternatives1up, BidSparq, Inventive AI, PandaDoc
against: Loopio, Responsive, Upland Qvidian
PandaDoc
Three alternativesAutoRFP.ai, Better Proposals, DeepRFP
against: Loopio, Responsive, Upland Qvidian
no first choiceagainst: Loopio, Responsive, Upland Qvidian
GLM 4.7 FlashXBidSparq, PowerRFP
Two alternativesPandaDoc, SiftHub
PandaDocChanged
Two alternativesProposify, Qwilr
Bidara
Three alternativesArphie, BidSparq, SiftHub
against: AutoRFP.ai, Loopio
PandaDoc
Two alternativesBidSparq, TenderOS - Tender Analyzer
no first choiceagainst: Loopio, PandaDoc, Proposify, Responsive
MiniMax M2.5Breeze Docs, Responsive
One alternativeSteerlab
PandaDoc, ProposifyChanged
Three alternativesFreshBooks, QuoteWerks, Qwilr
DeepRFP
Three alternatives1up, AutoRFP.ai, Inventive AI
PandaDoc
Two alternativesBetter Proposals, BidSparq
Loopio
One alternativeResponsive
against: PandaDoc, Proposify
against: Loopio, Ombud, Responsive, Upland Qvidian
GPT-6 Luna1up
Three alternativesConveyor, Loopio, Responsive
Better ProposalsChanged
Two alternativesPandaDoc, Qwilr
DeepRFP
Three alternativesConveyor, Loopio, Responsive
DeepRFP
One alternativeBreeze Docs
against: Loopio
no first choiceagainst: Loopio, Responsive, Upland Qvidian
Muse Glimmer 30BDeepRFP
Five alternatives1up, AutoRFP.ai, PandaDoc, Proposify, Responsive
PandaDocChanged
One alternativeProposify
against: Qwilr
1up
Five alternativesLoopio, PandaDoc, Proposify, QorusDocs, Responsive
PowerRFP
One alternativeDeepRFP
against: SAM.gov
no first choiceagainst: Loopio, PandaDoc, Proposify, Responsive, Upland Qvidian
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-10-04 23:14yes97 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-04 23:57yes26 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-10-04 23:55yes2223 s
Direct recommendationPerplexity Sonarsonar2026-10-04 23:21yes163 s
Direct recommendationGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-05 00:13yes209 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-10-05 00:17yes54 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-04 23:02yes2131 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-04 23:33yes52 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-05 00:15yes1042 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-10-04 23:05yes1622 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-05 00:13yes1935 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-05 00:45yes823 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-10-04 23:37yes327 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-05 00:40yes1315 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-10-05 00:38yes99 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-05 00:16yes36 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-10-05 00:27yes819 s
ParaphrasePerplexity Sonarsonar2026-10-04 22:44yes203 s
ParaphraseGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-04 22:47yes248 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-10-04 23:36yes54 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-05 00:15yes2245 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-04 23:10yes53 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-05 00:48yes1020 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-10-04 23:07yes1631 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-04 23:57yes14103 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-04 22:17yes513 s
ParaphraseGPT-6 Lunagpt-6-luna2026-10-05 00:36yes314 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-04 22:56yes2021 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-10-05 00:52yes99 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-05 00:00yes410 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-10-04 22:30yes2230 s
ComparativePerplexity Sonarsonar2026-10-04 22:19yes184 s
ComparativeGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-04 22:38yes1911 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-10-05 00:54yes79 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-04 22:30yes2352 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-04 22:22yes52 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-04 22:46yes827 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-10-04 22:36yes1945 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-05 00:27yes22128 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-04 22:50yes825 s
ComparativeGPT-6 Lunagpt-6-luna2026-10-05 00:19yes434 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-05 01:03yes2432 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-04 23:35yes1610 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-04 23:42yes34 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-04 23:20yes2728 s
Budget constrainedPerplexity Sonarsonar2026-10-05 00:17yes205 s
Budget constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-05 01:01yes228 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-10-05 00:34yes54 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-05 00:16yes2342 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-05 00:39yes52 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-04 22:51no027 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-04 22:21yes1618 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-04 22:51yes2139 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-05 00:36yes914 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-10-05 00:55yes317 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-04 23:14yes1313 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-05 00:05no05 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-04 23:31no06 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-04 23:55yes1326 s
Scale constrainedPerplexity Sonarsonar2026-10-04 23:36yes195 s
Scale constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-05 00:24yes159 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-10-05 00:54no05 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-04 23:48yes2451 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-04 23:17yes53 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-04 22:20no024 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-04 22:47yes1022 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-05 00:21yes826 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-05 01:03yes829 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-10-05 00:04yes425 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-05 00:45yes1522 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-10-04 22:26yes189 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-04 23:22yes37 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-10-04 22:30yes1326 s
Negative framingPerplexity Sonarsonar2026-10-04 23:01yes174 s
Negative framingGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-05 00:08yes2012 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-10-05 01:02yes54 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-04 22:57yes2431 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-04 23:54yes53 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-05 00:55yes1222 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-10-04 22:21yes1823 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-04 23:40yes1837 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-04 23:18yes1336 s
Negative framingGPT-6 Lunagpt-6-luna2026-10-05 00:16yes122 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-05 00:57yes1519 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

ShowHide
Category-scoped readings
Inventive read as Inventive AI
Unresolved, counted raw
AutoRFP AI
Google Docs + Templates
HeyIris.ai
Loopio Foundations
ProcureNow
RFP Matrix
RFPdb
Relevance AI RFP Agent
ResponseFox
Responsive AI
TenderOS - Tender Analyzer
VLocate
Winify AI
Word/Excel
Discontinued, still offered
No shut-down product was recommended here.
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