What is Loopio RFP software: How it works, features & pricing

Loopio is RFP response management software used by proposal, sales, and bid teams to manage the entire lifecycle of an RFP response, from importing a buyer's questions to submitting a finished, reviewed answer. The same platform also handles RFIs, due diligence questionnaires (DDQs), and security questionnaires through the same content library and workflow, so a team fielding RFPs rarely uses Loopio for RFPs alone. It's one of the more established platforms in the category, built around a centralized content library rather than free-form AI generation.

This breaks down specifically how Loopio handles RFP work: the workflow, the RFP-relevant features, what results Loopio itself reports, and where teams run into friction.

How Loopio works for RFPs

Loopio's RFP process follows a consistent sequence regardless of format:

1. Import the RFP. Questions come in from a Word document, Excel spreadsheet, PDF, or a web-based procurement portal. Loopio's Browser Extension, launched in 2025 as the first full portal-based response solution in the category, handles the portal case specifically, importing and organizing questions directly from the buyer's submission portal.
2. Organize and auto-fill. Loopio's AI, Response Intelligence™, scans the imported questions and matches them against the approved content library, suggesting draft answers rather than generating new text from nothing. The company reports this technology has been trained on data from more than 500,000 projects and millions of previously approved answers.
3. Review and refine. Contributors and SMEs review suggested answers, edit as needed, and approve. Sections can be assigned to specific team members, with progress tracked centrally.
4. Collaborate. Reviewers, legal, and subject matter experts work inside the same project rather than passing documents back and forth over email, with familiar tools like Salesforce and Microsoft 365 Copilot connected into the workflow.
5. Submit. Finished responses export into the format the buyer requires, or, for portal-based RFPs, get auto-filled directly into the portal itself via SmartFill for Portals.

Key features for RFP response work

• Content Library: A centralized, taggable repository of approved answers, case studies, and compliance content, organized by custom categories for filtering during RFP drafting.
• Response Intelligence™ (including Magic auto-fill): Loopio's AI technology matches incoming RFP questions to existing library content and suggests responses for review. Loopio describes it as trained on over a decade of response data across 500,000+ projects.
• Browser Extension for portals: Purpose-built for RFPs submitted through web-based procurement portals rather than documents, automating question import and answer auto-fill directly inside the portal. Loopio notes that 51% of RFPs are now submitted this way, up more than 24% since 2020.
• Project management: Assigns RFP sections to contributors, tracks completion status, and gives proposal managers a live view of what's done, in review, or overdue.
• AI summarization: Condenses lengthy RFP documents so reviewers can quickly understand scope and requirements without reading the full document line by line.
• Integrations: Connects with Salesforce and Microsoft 365 (including Copilot) so RFP context and notifications reach contributors inside tools they already use.

Results: Loopio reports for RFP teams

Loopio publishes several outcome figures tied specifically to RFP response performance: customers complete 51% more responses, spend 42% less time crafting each one, and typically see return on investment within 6 months of adoption. These are Loopio's own reported figures rather than independently audited statistics, so treat them as directional rather than a guaranteed outcome for any specific team.

Loopio pricing

Loopio doesn't publish specific dollar figures for its RFP software; pricing requires a sales quote. According to Loopio's own site, plans are structured in tiers: Foundations, which includes 10 seats and is positioned for smaller, sales-led RFP teams; and Enhanced or Enterprise, recommended for more mature, collaborative proposal teams with broader RFP workflow needs. Third-party comparison sites have cited entry-level pricing in the range of roughly $20,000/year, though this isn't confirmed by Loopio directly and should be treated as an estimate rather than a published rate. Getting an exact number for your team size requires contacting Loopio's sales team.

What users like about Loopio's RFP software

Loopio holds strong ratings on G2, with scores commonly cited between 4.7 and 4.9 out of 5 across hundreds of reviews, and the company reports serving over 1,700 organizations globally. Recurring themes specific to RFP work include:

• Organized knowledge base: Reviewers consistently praise the structured content library and question bank for making approved RFP answers easy to maintain and reuse across submissions.
• Ease of use: An intuitive interface that keeps contributor adoption high, an important factor for RFPs that require input from SMEs outside the core proposal team.
• Customer support: Loopio publishes a G2 support score of 9.7/10, with users describing the support team as responsive during RFP crunches.

Users describe the impact in similar terms across reviews: one customer noted Loopio changed how their team works, letting them focus more on each client while responding with greater speed and accuracy.

Where RFP teams run into friction

• Keyword-based search: Retrieval is largely keyword-matched rather than semantic, so an RFP question worded differently from anything in the library may not surface the right existing answer, even if one exists.
• Setup effort: Building the initial content library is described by users as labor-intensive; teams typically need real time, sometimes weeks, to structure categories and tags before RFP responses can lean on the AI fully.
• Manual freshness: Because content lives in a static library rather than syncing with live source systems, keeping RFP answers current depends on someone actively maintaining the library. Without that upkeep, response quality declines over time.
• No outcome tracking: Loopio doesn't connect submitted RFP responses back to win/loss data, so there's no built-in feedback loop showing which content actually correlates with winning deals.

Who Loopio's RFP software is best for

Loopio fits mid-market and enterprise revenue teams that want a structured, polished RFP engine without excess friction, particularly teams with dedicated proposal operations or content managers who can build and maintain the library over time. The 2025 portal extension makes it a particularly strong fit for teams fielding a high volume of portal-submitted RFPs and security questionnaires. Organizations already standardized on Microsoft 365 get added value from the native Copilot integration.

Loopio vs SiftHub for RFP response

For teams evaluating Loopio's RFP software specifically against SiftHub, here's how the two compare on the dimensions that matter most in RFP response work.

The practical difference shows up in day-to-day RFP work: with Loopio, response quality is a function of how recently someone updated the library. With SiftHub, response quality reflects whatever is currently true in your CRM, your last call transcript, or your most recently updated product doc, without anyone having to manually re-enter it. That distinction matters more for teams whose product, pricing, or positioning changes frequently, and less for teams whose core RFP content is genuinely stable year over year.

The bottom line

Loopio remains one of the more mature, widely adopted platforms specifically built around RFP response work, and the 2025 portal extension closes a real gap for teams fielding a growing share of web-based submissions. Whether it's the right fit comes down to one question: does your team have the bandwidth to build and maintain a content library, or is the knowledge you'd draw from changing too often for a static library to keep up? Teams answering the latter are usually the ones evaluating AI-native alternatives like SiftHub alongside Loopio.

Frequently asked questions