The best AI tools for RFP responses help teams generate first drafts faster, reduce repetitive work through automation, and turn cross-functional input into winning answers. 

But not all tools deliver on their promises.

Most proposal teams use AI for generative precision (drafting and editing responses), win strategies (competitive positioning), and agentic workflow (RFP shredding and formatting).

We’ve ranked the top AI tools against that criteria. 

Whether you’re managing high-volume enterprise RFPs or supporting a lean sales team, this list will help you understand which tools are worth considering.

→ Skip right to the scorecard.

Our Ranking Methodology

To keep our rankings objective, we scored each platform (out of 5.0) against three weighted categories, which reflect the primary AI use cases identified in Loopio’s RFP Trends Report. 

1. Generative Precision (40%)

• Draft accuracy: The ability of the AI to move from a blank document to a 90% first draft using internal knowledge sources.
• Contextual editing: How well the tool performs verbiage revisions, such as changing passive voice to active or simplifying technical jargon for specific audiences.
• Source attribution: The presence of verified citations that link every AI-generated response back to its original source document for content trust.

2. Winning Insights (35%)

• Market & competitive insight: The tool’s capability to analyze historical bid data and market trends to identify competitive advantages and win probability.
• Win theme mapping: How effectively the AI recommends messaging that resonates with the client by comparing internal strengths against specific pain points.
• Opportunity assessment: The use of predictive analytics to support “Go/No-Go” decisions by identifying high-probability matches based on successful submissions.

3. Agentic Workflow (25%)

• Document analysis: The speed and accuracy with which the AI “shreds” a new RFP to auto-detect questions and parse requirements from complex formats.
• Operational orchestration: Features that reduce manual work by automating logistical tasks like formatting and follow-ups with subject matter experts (SMEs).
• Process transparency: The robustness of audit trails that track every AI-generated edit, ensuring compliance and accountability throughout the response lifecycle.

Without further ado, let’s get into it.

The Best AI RFP Software & Tools for 2026

The RFP market is now flooded with AI options, ranging from simple drafting tools to end-to-end response management systems. Needless to say, finding the right fit is a challenge. 

To help you make the right choice, here are the top AI-enabled RFP software solutions.

The Official Scorecard for AI RFP Software

AI RFP Tool	Generative Precision	Winning Insights	Agentic Workflow	Total Score
Loopio	4.9	4.5	4.7	4.7
Responsive	4.6	4.9	4.5	4.6
Thalamus AI	4.5	4.6	4.9	4.6
AutogenAI	4.6	4.8	4.4	4.5
Conveyor	4.8	4.3	4.6	4.5
1Up	4.3	4.3	4.6	4.4
Qvidian	4.6	4.2	4.0	4.3

1. Loopio: Best for Enterprise Governance and Content Scalability

Loopio is built for enterprise teams managing high volumes of RFPs with shared ownership across multiple departments. Loopio’s AI functionality is powered by over a decade of experience to handle the nuance and speed of modern proposal management. 

Rather than treating AI as a standalone writing tool, Loopio’s proprietary machine learning technology, Response Intelligence™,  embeds AI directly into the RFP workflow, where accuracy and governance matter most.

Key features include: 

• AI-powered portal automation: On top of automating imports and exports for complex document formats, Loopio provides a market-first AI portal solution that automatically identifies questions and populates verified answers directly into web-based portals.
• Generative drafting: An AI-powered engine that generates first drafts for RFPs, RFIs, DDQs, and security questionnaires by pulling exclusively from your approved content library and 80+ reliable sources using its Unleash Connector.
• Content enhancements: Loopio’s AI suggests refinements based on proposal best practices, summarizes answers to fit specific content needs, and tailors client messaging via customizable prompts.
• Confidence indicators: A scoring system that evaluates every AI-generated answer for accuracy, trust, and completeness, allowing users to instantly gauge content readiness.
• Smart SME recommendation: An intelligent routing tool that analyzes historical contributions to automatically identify the best-suited SMEs for specialized questions.
• Automated library maintenance: Loopio automatically flags duplicate or stale content to ensure your library stays fresh and accurate as your RFP volume scales, which is maintained through scheduled review cycles.
• Granular governance controls: Role-based AI permissions backed by transparent citations and a complete version history for every answer.

Loopio leads in portal-based automation, using its industry-first browser extension to autofill answers directly within procurement sites. However, since the platform prioritizes human-led governance over advanced predictive modelling, it might not be ideal for teams that require highly autonomous AI agents to drive their response strategy.

How do customers feel about Loopio’s AI? 

Loopio’s AI is one of the most discussed features in recent G2 reviews. While the platform maintains an overall 4.7 / 5 rating, the sentiment specifically regarding its AI is characterized by a “Governance-First” appreciation. Customers love that it is safe and secure, but some find it requires a well-maintained library to truly work its magic.

2. Responsive: Best for Complex Tech Ecosystems and Strategic Analytics

Responsive (formerly RFPIO) is another response management platform engineered for teams managing high volumes of RFPs and security questionnaires that need AI-assisted workflows, document handling, and cross-team collaboration.

While Loopio prioritizes a library-first model, Responsive focuses on a workflow-first architecture, providing deep analytics and a broad integration ecosystem to manage the entire RFP lifecycle.

Key features include:

• Import & formatting: Automates the ingestion of complex Word, Excel, and PDF documents, identifying tables, subsections, and requirements.
• AI writing agent: A generative engine designed to complete substantial portions of a questionnaire in minutes.
• TRACE Score™: An AI-driven validation system—standing for Transparency, Relevance, Accuracy, Completeness, and Ethics—that evaluates AI responses to ensure high-quality, compliant output.
• LookUp integration: A powerful “search anywhere” tool that allows users to access and pull verified answers directly from Chrome, Slack, and Microsoft Office, reducing reliance on the core platform for quick answers.
• Document analysis: A strategic tool that creates summaries of lengthy bid documents, compiling a list of key dates, time frames, financial figures, regulations, and more.
• Compliance matrix automation: Custom keyword dictionaries and machine learning technology allows teams to organize RFP requirements into a compliance matrix and match them to the right roles.

Responsive excels in environments with high technical complexity, which is a double-edged sword. Compared to Responsive alternatives, its interface is feature-dense and can feel heavy for occasional users or smaller teams, and its AI relies more on document matching than adaptive nuance, often requiring additional human refinement.

How do customers feel about Responsive’s AI?

Responsive holds a 4.5 / 5 rating on G2, with customers frequently praising the platform’s sheer power. Teams love the speed of the AI Writing Agent and the convenience of LookUp, though some note that the interface can feel busy and requires significant initial configuration to master.

3. Thalamus AI: Best for Agentic Automation Across the Response Process

Thalamus AI is an AI-native response platform that replaces traditional “search and retrieve” methods with a network of specialized AI agents. It employs multiple “mini-agents” to handle specific parts of the bid lifecycle—from initial document shredding to final compliance checks.

Key features include:

• Multi-agent support: Coordinates a network of 20+ specialized AI agents that can assist you in drafting, compliance, or strategy using simple prompts.
• Document shredding: Uses a summary assistant to instantly parse multi-page RFPs, breaking down requirements and identifying compliance criteria.
• Go/No-Go decision intelligence: Employs a specialized Go/No-Go Assistant that analyzes deal risk factors and past win/loss outcomes to generate evidence-based recommendations for go/no-go decisions.
• SME coordination: Similar to Loopio, Thalamus AI automates SME follow-up via Slack and Teams, allowing them to review drafts without leaving their communication tools.
• Conversational workflow: A chat-based interface that allows you to use customized prompts to delegate tasks or generate answers, pulling from multiple data sources, including native integrations with Google Drive and SharePoint. 

Thalamus AI is the closest experience the RFP industry has to an OpenAI-style interface. However, its heavy reliance on autonomous agents means that while it handles the “grunt work” of drafting and coordination, it requires more human-led governance than more rigid systems.

How do customers feel about Thalamus AI?

According to G2 reviews, Thalamus AI holds a 5-star rating from only six reviewers. While the review volume is lower than that of legacy platforms, the sentiment is positive for early adopters.

4. AutogenAI: Best for Generative Strategy and Narrative Drafting

AutogenAI is a newer entrant to the industry that takes a generative-first approach to RFP responses, positioning AI as a writing-centric engine rather than a retrieval layer. Instead of prioritizing reuse of existing answers, AutogenAI focuses on helping teams create net-new content when pre-approved responses don’t yet exist.

Key features include:

• Custom language engines: Uses AI models trained on your organization’s past proposals to ensure every draft mirrors your brand voice, structure, and messaging.
• Research assistant: An intelligent search tool that scans both your internal knowledge library and internet to gather real-time data for novel questions.
• Gamma Review: A multi-stage feedback interface that allows teams to instantly refine, shorten, or polish drafts based on specific bid requirements.
• Document extraction: Automatically identifies compliance requirements from RFP documents and “shreds” them into a structured matrix for tracking.
• Competitive analysis: AutogenAI’s win-theme generator can help you differentiate your response by refining your messaging to the specific client.
• Contextual citations: Provides verified data referencing with inline citations, ensuring that even the most creative generative drafts remain authoritative and auditable.

While AutogenAI creates more persuasive prose than retrieval-heavy tools, it requires strong oversight. Outputs need to be reviewed carefully for accuracy and substantiation, especially in regulated or highly technical environments. 

How do customers feel about AugtogenAI:

AutogenAI currently holds a 4.4 / 5 rating on G2, with customers praising its unparalleled speed in creating first drafts. Some note a learning curve in mastering the prompt engineering required to get the best results, but the consensus is that it is the best writing partner on the market.

6. Conveyor: Best for Technical Trust and InfoSec Speed

Conveyor is a specialized AI platform engineered for teams that live at the intersection of sales and cybersecurity. While general RFP tools focus on broad proposal management, Conveyor’s architecture is built specifically for security questionnaires, combining an AI-powered response engine with a secure “Trust Center” where teams can self-serve security documentation.

Key features include: 

• Trust Center AI: A customer-facing agent that lives in your public-facing Trust Center. It allows prospects to ask natural-language security questions and receive cited answers directly from your SOC 2 or ISO reports behind a secure NDA gate.
• RFP AI agent: A dedicated internal agent that autonomously plans, researches, and drafts responses to RFPs, identifying “red flags” and competitive gaps.
• SmartForm Responder: An advanced AI engine that auto-completes complex security questionnaires with 95%+ first-pass accuracy, pulling from external sites, wikis, and documents without requiring a manually curated library.
• Knowledge memory engine: A zero-maintenance  library model that remembers past edits and context from live sources like SharePoint and Google Drive.
• NDA Automation: Streamlines the document-sharing process by requiring prospects to sign a legally binding NDA before accessing sensitive security attestations or penetration tests.

Conveyor is a standout platform for teams that want to deflect the repetitive work of security questionnaires. However, because it is so specialized for technical and security content, it may offer less creative “marketing-first” drafting flexibility than general-purpose AI RFP tools.

How do customers feel about Conveyor?

According to G2 reviews, Conveyor holds a 4.6 / 5 rating (based on over 150 reviews). The sentiment is largely characterized by technical confidence as security engineers and pre-sales teams love the 95%+ accuracy of its initial drafts.

6. 1Up: Best for Knowledge Automation and Rapid Response

1Up is another newer AI-driven proposal and RFP automation tool. The tool’s focus is on accelerating draft creation, which is designed to help teams respond faster by using AI to generate answers based on prior proposals, uploaded documents, and contextual inputs.

Key features include:

• Unified knowledge base: 1Up indexes data from websites, Google Drive, Confluence, and more to generate single answers to questions, eliminating manual library uploads.
• Self-learning mechanisms: 1Up captures edits and feedback from multiple connected sources in real-time, ensuring the AI “gets smarter” with every submission.
• RFP automation: Its high-speed AI auto-populates Excel, Word, PDF, and web-based questionnaires by analyzing all connected sources to deliver the right answer.
• Communication integrations: Offers connectivity with Slack, Microsoft Teams, and Google Chat to provide sales reps with instant answers
• Automated proofreading: Built-in AI classifiers that automatically correct grammar, spelling, and formatting errors in generated responses, ensuring a polished draft.

Since 1Up is primarily writing-focused rather than workflow-heavy, it does not place the same emphasis on long-term content governance, complex approval structures, or deep cross-functional coordination as larger RFP platforms. 

As a result, it’s typically used as a draft acceleration layer rather than a system of record for proposal management.

How do customers feel about 1Up?

Similar to Thalamus AI, 1Up has fewer reviews (< 25) as more established platforms, but so far, it has a G2 rating of 4.9 / 5 for its ease of use and efficiency.

7. Qvidian: Best for Document Control and High-Compliance Environments

Qvidian (by Upland Software) is another legacy RFP solution with core strengths in document control. While newer tools prioritize generative speed, Qvidian provides a structured environment for organizations that operate under strict regulatory or formatting requirements.

Key features include:

• AI Assist: A premium add-on that enables users to draft, rewrite, and summarize content while ensuring it stays within brand and tone guidelines.
• Microsoft connectivity: Offers native integration with Word, Excel, and PowerPoint, allowing writers and SMEs to manage and review multi-page proposals within their familiar Microsoft 365 environment.
• Structured compliance workflows: Multi-step review cycles triggered by predefined logical rules, ensuring that every section passes strict legal and regulatory approvals.
• Template-driven automation: Advanced document assembly tools that use intelligent templates to pull pre-approved content from the library, maintaining formatting requirements across hundreds of pages.
• AI flagging: A transparency feature that automatically identifies and flags AI-generated content for mandatory human review to guarantee 100% compliance and accuracy.

While Qvidian’s strength lies in its structural control, its interface reflects its legacy architecture. Collaboration can feel slower or more cumbersome for teams prioritizing speed, flexibility, and modern AI-assisted collaboration.

How do customers feel about Qvidian’s AI?

Qvidian holds an overall 4.3 / 5 rating on G2, with long-term users noting that AI Assisthas been a significant upgrade for the platform’s efficiency. Customers value the security and the reduction in manual writing time, though some note that the legacy interface can make these AI tools feel less fluid than in AI-native platforms.

Can You Use OpenAI Tools to Respond to RFPs?

We know many proposal teams will try OpenAI tools, like ChatGPT or Claude, first. Both are fast, accessible, and often the easiest way to experiment with AI for drafting answers, summarizing requirements, or rewriting content under tight deadlines.

However, these tools operate outside of dedicated RFP workflows. They don’t have native awareness of approved content libraries, response governance, version control, or collaboration requirements. Accuracy depends heavily on prompting and manual review, and teams must manage data handling and compliance considerations carefully.

As a result, these AI tools are best used as a supplementary drafting tool alongside dedicated RFP software, rather than as a primary system for managing responses.

Learn more about how ChatGPT compares to Loopio.

Choosing the Right AI Tool for Your RFP Workflow

The shift in generative AI adoption within proposal teams is no longer a trend. Usage has doubled in just one year, rising from 34% to 68%, with the vast majority of teams moving beyond experimental tinkering to making AI an operational baseline. 

Because AI has become the backbone of modern RFP workflows, the “best” tool depends entirely on how your team operates. The goal for 2026 isn’t just to write faster; but to build an efficient process that sustains your team as bid volumes increase.

Beyond our scores, you should also ask these critical questions:

✓ Will the AI-generated “first draft” actually save time? Or, will it require extensive human editing that negates the time saved?

✓ Will the AI tool help you shift from assembly to strategy? Can it make suggestions to help you win, or will it merely act as a search engine for your library?

✓ Will the AI platform measurably reduce stress? Or, will the learning curve be so steep, it will be just another administrative headache?

The right AI tool should reduce the cognitive load of drafting, transform raw data into a competitive strategy, and serve as an autonomous partner that scales your output without compromising your response quality or team’s well-being.