Loopio alternatives, pricing and reviews compared

Loopio, like most enterprise RFP software, does not publish pricing, so the honest answer to 'how much does Loopio cost' is: it depends on your company size, seat count and which modules you add, and you will not know until you sit through a sales call. That opacity is exactly why people end up comparing it against Responsive, Qvidian, AutogenAI and newer tools like Airprose before they commit to a demo.

What Loopio actually costs

Loopio does not list a price per month anywhere on its site, and neither do Responsive, Qvidian or AutogenAI. That is standard for enterprise RFP software sold to procurement and proposal teams: a rep qualifies you, scopes seats and modules, then sends a quote. It is not a fixed number you can screenshot and compare.

If you have talked to Loopio's sales team, you already know pricing tends to scale with content library size, number of users and which add-ons (like analytics or CRM integration) you need, often landing as an annual contract rather than a monthly one. That works fine for large enterprises with a procurement cycle built for it. It is slower and harder to budget for if you are a mid-size team that wants to know the number before a call gets booked.

Airprose publishes its pricing: Base at 149 pounds a month, Growth at 399, Scale at 849, all with unlimited users. You can start free with no card, see the actual product, and decide whether it fits before anyone tries to sell you anything.

What Loopio reviews actually say

Searches for 'Loopio reviews' and 'Loopio reviews reddit' turn up a fairly consistent pattern across G2, Capterra and forum threads: people who have used Loopio for a while generally rate the content library and answer library search well, and proposal managers often say it saves real time on repetitive questions once it is set up.

The recurring friction points in that feedback are less about the core feature and more about the surrounding process: getting the content library populated and kept current takes real admin effort, onboarding can be slow for larger teams, and the price becomes a sticking point once renewal time comes around, especially for teams that only ran a handful of RFPs that quarter. None of that is unusual for this category of software. It is worth reading a few threads yourself rather than taking any vendor's summary of its own reviews at face value, ours included.

Loopio vs Responsive

Responsive is the rebranded name for RFPio, following its 2022 merger and name change, so 'Loopio vs RFPio' and 'Loopio vs Responsive' are really the same comparison now. Both are long-established, enterprise-grade RFP platforms with large content libraries, project management workflows and integrations built for teams that run high volumes of RFPs across multiple departments.

The practical difference buyers usually land on is scale and complexity versus speed to value. Loopio and Responsive are built for organisations that need granular permissions, deep workflow customisation and a dedicated implementation. If you are a smaller team that mainly needs sourced, cited answers drafted fast from your existing content, that level of platform can be more than you need, and the sales cycle to get there is longer.

Loopio vs Qvidian and Loopio vs AutogenAI

Qvidian is one of the oldest names in this space, originally built for proposal automation before AI drafting became standard, and it is still positioned toward larger enterprises with established proposal operations teams. AutogenAI takes a different angle, leaning heavily on AI generation and analysis of RFP content, often marketed toward large enterprises and public sector bidders with heavier compliance requirements.

Both, like Loopio and Responsive, sell on a quote basis with a sales-led process. If you are comparing Loopio against Qvidian or AutogenAI specifically, the real differences tend to show up in the demo: how the content library is organised, how citations work, and how much manual cleanup the drafts need before they go out.

Where Airprose fits differently

Airprose is built around one job: draft RFP responses, tenders, security questionnaires and DDQs from your own approved content, with every answer showing its source. If your library does not support an answer, it flags that instead of guessing, which matters more in security and compliance answers than in most marketing copy.

Data is stored in the UK with per-tenant isolation, and none of it is used to train shared AI models. To be direct about something we get asked in these evaluations: Airprose does not hold SOC 2 or ISO 27001 certification yet. If that certification is a hard requirement for your procurement process today, that is a real constraint worth weighing against the enterprise players who do hold it. Where Airprose competes is on speed to start, transparent pricing, and not needing a quarter-long onboarding to get your first answer sourced and drafted.