AutogenAI vs Loopio (2026): Best for US Proposal Teams

At a glance: Loopio is a strong content library for high-volume questionnaires; AutogenAI is built to write and win complex proposals, including federal ones.
- Choose Loopio if your work is mostly security questionnaires, DDQs and repeat RFPs answered from an approved library.
- Choose AutogenAI if you write long-form, scored proposals and need AI drafting, compliance review and strategy tools in one place.
- For federal work, AutogenAI is FedRAMP® Certified, Class D (High), via Palantir FedStart. Loopio’s public security page lists no FedRAMP or CMMC status (as of November 3, 2026).
US proposal teams comparing RFP software often shortlist Loopio and AutogenAI. Loopio has been in the market since 2014, with a mature content library, broad integrations and an interface teams find easy to adopt. AutogenAI is AI-native proposal software that covers the full RFP lifecycle, from opportunity qualification through submission.
This guide compares the two across win rates, security, drafting quality and productivity, and says where each one fits.
What each platform is built to do
Loopio is a response management platform built around a central library of approved answers. It helps teams find, reuse and govern content across RFPs, security questionnaires and DDQs. Its generative AI drafts answers by combining relevant library entries.
AutogenAI is an AI proposal platform built to draft, review and improve proposals across the full lifecycle. It extracts requirements, drafts from your approved knowledge with cited evidence, checks compliance, and supports win themes and storyboarding.
The difference is the starting point. Loopio starts from the answers you already have. AutogenAI starts from the solicitation and what evaluators will score.
Which US RFPs each fits
| RFP type | What matters most | Better fit |
|---|---|---|
| Federal (civilian and defense) | FedRAMP, CMMC 2.0, CUI handling, Section L and M compliance | AutogenAI |
| State and local | State security programs such as TX-RAMP, scored narrative responses | AutogenAI for scored narratives; either for repeat questionnaires |
| Commercial | Speed on security questionnaires, DDQs and repeat RFPs | Loopio for library-led volume; AutogenAI for complex, scored proposals |
Where Loopio is strong
Loopio is a well-built tool for library-led response work. Its strengths are real:
- Answer library. A central, governed library of approved answers with owners, review cycles and permissions, so teams reuse vetted content.
- Workflow management. Project plans, contributor assignments, deadlines, a proposal checklist and support for color team reviews.
- Integrations. Connections to Salesforce, SharePoint and Microsoft Teams, plus a Microsoft 365 Copilot agent launched in April 2026.
- Portal submissions. A browser extension (Chrome included) that pulls questions from and fills answers into dozens of procurement portals.
- Export. Completed projects export to Word, Excel or HTML, or back into the source document.
For teams answering a high volume of security questionnaires and DDQs, Loopio delivers. A Forrester Total Economic Impact study commissioned by Loopio in 2023 found about 50% time savings on questionnaire response.
Proposal success and win rates
Loopio speeds up response filling. AutogenAI is built to improve what gets scored.
Loopio surfaces approved content fast and maps it to questions. That saves real time on repeat work. It does not include capture intelligence, evaluator mapping or win theme development, so the strategic quality of a response still depends on the team.
AutogenAI builds strategy into drafting. Compliance matrices align responses to the evaluation criteria. Capture insights carry into each section. Evidence is cited and traceable. Win themes and storyboards keep the narrative consistent across volumes.
The evidence
| Result | Figure | Source |
|---|---|---|
| Revenue growth, AutogenAI users vs comparable non-users (FY23 to FY24) | +12.4% vs −7.1% | MH&A Academic Revenue Comparison, 2025 |
| Average win rate increase reported by teams using AI in their proposal process | 22% | Outsmart the RFP Process, AutogenAI survey of 511 proposal professionals, 2025 |
Recognized on G2. In 2026, G2 users ranked AutogenAI a Leader in RFP and a Leader in Enterprise AI Proposal Generator Tools. Users also rate it for Best ROI, Fastest Implementation and Best Support.
Governance and security
Both platforms meet commercial security baselines. Only AutogenAI holds federal authorization.
What Loopio holds. According to Loopio’s security page, Loopio completes an annual third-party SOC 2 Type II audit and displays ISO 27001, ISO 42001 and CSA STAR badges. It states GDPR and CCPA compliance, TLS 1.2 encryption in transit, AES-256 at rest, SAML 2.0 SSO and annual penetration testing. Data is hosted on AWS.
What Loopio does not list. The page lists no FedRAMP authorization, CMMC 2.0 status or StateRAMP status. For teams handling Controlled Unclassified Information (CUI) or pursuing federal contracts that require FedRAMP-authorized cloud services, that is a hard constraint.
What AutogenAI holds. AutogenAI is FedRAMP® Certified, Class D (High), via Palantir FedStart, hosted in AWS GovCloud (US). It also holds DoD IL5, CMMC 2.0, ISO 27001, SOC 2 Type II and TX-RAMP.
- One authorization across levels. FedRAMP baselines are cumulative, so a High authorization covers workloads at Low and Moderate too.
- Zero data retention. Proposal content is not retained by model providers, and organization-specific LLM hosting is available.
- Traceable evidence. Agentic search and retrieval-augmented generation (RAG) cite the source behind each AI response, which supports audit-ready workflows.
Drafting and content quality
Loopio drafts from what is in your library. AutogenAI drafts from the solicitation, grounded in your approved knowledge.
How Loopio drafts. Loopio’s generative AI writes a first pass by combining relevant library entries, with controls for tone, length and which content it draws from. With a well-kept library and standard questions, that works well. Output quality tracks library quality, so stale or duplicated entries carry through to drafts, and teams spend ongoing effort keeping content current.
How AutogenAI drafts.
- Requirement extraction. AutogenAI shreds the RFP into requirements and builds a compliance matrix before drafting starts.
- Evidence-backed drafting. Claim detection, agentic research and RAG produce cited content from your approved sources, rather than reassembled past answers.
- Gamma Review. Automated review checks each response against requirements, word limits and formatting rules before submission.
- Strategy tools. Storyboarding and win theme development give each proposal a single, consistent narrative.
- Model choice. AutogenAI is LLM-agnostic. It orchestrates 15 leading models, including GPT, Claude, Gemini, Mistral and Cohere, and selects the best one for each task.
Productivity and efficiency
Loopio saves the most time on repeat questionnaires. AutogenAI saves time across the whole proposal.
Where Loopio saves time. The Loopio-commissioned Forrester study found about 50% time savings on questionnaire response. Those gains depend on a clean, current library, which takes ongoing upkeep.
Where AutogenAI saves time. Requirement shredding, compliance checks and formatting are automated, so teams spend less time on manual review at each stage. Drafting happens inside Microsoft Word, where most proposal teams already work. AutogenAI customers have reported a 70% reduction in drafting time (customer outcomes).
Because AutogenAI learns from past submissions, each proposal starts from what has worked before.
AutogenAI vs Loopio at a glance
| Category | Capability | Loopio | AutogenAI |
|---|---|---|---|
| US compliance | FedRAMP | Not listed | FedRAMP® Certified, Class D (High), via Palantir FedStart |
| US compliance | CMMC 2.0 | Not listed | Yes |
| US compliance | DoD IL5 | Not listed | Yes |
| US compliance | SOC 2 Type II | Yes | Yes |
| US compliance | ISO 27001 | Yes | Yes |
| US compliance | TX-RAMP | Not listed | Yes |
| US compliance | US hosting | AWS (regions not stated) | AWS GovCloud (US) |
| Governance | Zero data retention and org-specific LLM hosting | Not listed | Yes |
| Governance | Cited, traceable evidence in AI responses | Library source shown | Yes, via agentic search and RAG |
| Content | Central approved-answer library | Yes, core strength | Yes, approved knowledge retrieval |
| Content | Generative drafting | From library entries | From the solicitation, grounded in approved sources |
| Strategy | Capture intelligence, storyboarding, win themes | No | Yes |
| Strategy | Compliance matrices aligned to scoring criteria | No | Yes |
| Workflow | Assignments, deadlines, review checklist | Yes | Yes |
| Workflow | Automated compliance and quality review | No | Yes, Gamma Review |
| Workflow | Portal submission extension | Yes | No |
| Integrations | Salesforce, SharePoint, Teams | Yes | Microsoft Word, SharePoint |
| AI models | Model choice | Not stated | 15 models, selected per task |
| Results | Time savings | ~50% on questionnaires (Forrester, 2023, Loopio-commissioned) | 70% on drafting (customer outcomes) |
Which should you choose?
The right choice depends on whether your team mostly reuses answers or writes scored proposals.
| Choose Loopio if | Choose AutogenAI if |
|---|---|
| Most of your volume is security questionnaires, DDQs and repeat RFPs | Most of your volume is long-form, scored proposals |
| You have a well-maintained answer library and want to get more from it | You want AI to draft new, cited content from the solicitation |
| You submit through many procurement portals and want a browser extension | You need compliance matrices and automated review against Section L and M or scoring criteria |
| Your work is commercial and doesn’t require FedRAMP or CMMC | You pursue federal, defense or state work that requires FedRAMP, CMMC 2.0 or TX-RAMP |
| Your team lives in Salesforce and Microsoft 365 Copilot | You want win themes, storyboarding and capture insight in the same platform |
For more options, see our guide to the best RFP software tools in 2026.
FAQ: AutogenAI vs Loopio
What is Loopio used for?
Loopio is a response management platform used to answer RFPs, security questionnaires and DDQs from a central library of approved content. Teams use it to find and reuse vetted answers, assign questions to experts, track deadlines and draft first passes with generative AI. It suits high-volume, repeat response work in commercial markets.
What is AutogenAI used for?
AutogenAI is AI proposal software used to draft, review and improve proposals from opportunity qualification through submission. It extracts requirements, builds compliance matrices, drafts cited content from your approved knowledge and checks responses against scoring criteria. US federal, state and local, and commercial teams use it for complex, scored proposals.
Is Loopio FedRAMP authorized?
No. As of November 3, 2026, Loopio’s public security page lists no FedRAMP authorization and no CMMC 2.0 status. It lists SOC 2 Type II, ISO 27001, ISO 42001, CSA STAR, GDPR and CCPA. That covers most commercial needs, but limits use for federal work that requires FedRAMP-authorized cloud services.
Does AutogenAI support federal and regulated environments?
Yes. AutogenAI is FedRAMP® Certified, Class D (High), via Palantir FedStart, and hosted in AWS GovCloud (US). It also holds DoD IL5, CMMC 2.0, ISO 27001, SOC 2 Type II and TX-RAMP. Zero data retention and organization-specific LLM hosting keep proposal content inside a controlled environment.
Which platform is better for teams that need to win more proposals?
AutogenAI is built to improve proposal outcomes, while Loopio is built to speed up response work. AutogenAI aligns drafts to evaluation criteria, supports win themes and runs automated compliance review. MH&A research found AutogenAI users grew revenue 12.4% from FY23 to FY24, while comparable non-users declined 7.1%.
Can AutogenAI use my existing content library?
Yes. AutogenAI can draw on the approved content you already have, including past proposals, answer libraries and documents in SharePoint. It retrieves the most relevant material for each requirement and cites it in the draft. Your library becomes the evidence base for new, tailored responses instead of a set of answers to copy.
What is the difference between AutogenAI and Loopio?
Loopio starts from your library of past answers and helps you reuse them quickly. AutogenAI starts from the solicitation and drafts new, cited responses aligned to how evaluators score. Loopio fits high-volume questionnaires and DDQs. AutogenAI fits complex, scored proposals and regulated work that requires FedRAMP, CMMC 2.0 or DoD IL5.
Which platform is better for complex government proposals?
AutogenAI is the better fit for complex government proposals. It is FedRAMP® Certified, Class D (High), via Palantir FedStart, with CMMC 2.0 and DoD IL5, and it automates Section L and M compliance checks. Loopio lists no FedRAMP or CMMC status and is used more often for commercial questionnaires.


