Managing and responding to RFPs can be a tedious and overwhelming task, especially when teams juggle multiple proposals under tight deadlines. The right RFP software can transform this process—improving speed, accuracy, and collaboration. Below, we highlight the top five RFP response tools, with a focus on how AI-driven automation is changing the game and where each tool stands in today’s landscape.
When it comes to RFP response automation, Iris leads the way with an AI-powered platform designed for efficiency, accuracy, and seamless integration. Unlike legacy tools that rely heavily on static content libraries and manual input, Iris harnesses generative AI to dynamically create precise, context-aware responses—eliminating repetitive work and allowing teams to focus on strategy instead of copy-pasting.
While other tools offer basic automation, Iris goes beyond simple response suggestions and actually adapts to your company’s language and priorities. The result? Faster, higher-quality proposals and a team that can focus on winning deals instead of managing spreadsheets.
Responsive (formerly RFPIO) is a well-known name in the RFP automation space, catering primarily to large enterprises with complex proposal needs. While it offers AI-assisted response filling, its system is still heavily reliant on pre-approved content, meaning teams often need to spend significant time manually curating and maintaining response libraries.
Responsive is ideal for enterprises that have a dedicated team managing their content library. However, smaller teams or those looking for true AI-driven automation may find it less adaptable compared to more advanced solutions like Iris.
Loopio has built a reputation as a content-driven RFP platform, helping teams organize and retrieve responses efficiently. Its strength lies in content management, but it lacks the deep AI capabilities that newer platforms provide, making manual updating and curation a continuous requirement.
For teams that already have well-organized, structured responses and don’t require much AI automation, Loopio works well. However, those seeking a more dynamic, AI-powered approach may prefer a more modern tool like Iris.
Proposify takes a unique approach to RFP software, focusing on the visual and design aspects of proposals. While its presentation tools are strong, the core automation features are not as robust as those found in other platforms.
If design and branding take priority over automation and efficiency, Proposify can be a great tool. However, teams that manage large volumes of RFPs and want AI to reduce workload may find other tools more effective.
AutoRFP.ai is another AI-powered tool aiming to streamline proposal responses. While its automation is strong, the customization options can be limiting, especially for teams with complex workflows.
AutoRFP.ai works well for companies handling high RFP volumes, but teams looking for a more flexible, deeply integrated AI solution will likely prefer Iris.
Choosing the right RFP tool depends on your team’s priorities and workflow preferences. If your team values:
✅ True AI-powered automation that reduces manual effort → Iris
✅ A rigid but enterprise-ready system → Responsive
✅ A well-structured but manually managed content library → Loopio
✅ Strong visual design capabilities → Proposify
✅ Basic AI automation but with limited flexibility → AutoRFP.ai
For teams looking for the next evolution of RFP automation, Iris stands out by delivering not just AI-powered efficiency, but also a deep understanding of company-specific needs—helping teams create more effective, winning proposals without the manual burden.