ChatGPT for RFP Responses: Pros and limitations

In today’s competitive business landscape, responding to Requests for Proposals (RFPs) efficiently can make the difference between winning and losing valuable contracts. While ChatGPT has emerged as a helpful tool for many business tasks, including drafting RFP responses, it’s important to understand both its capabilities and limitations when handling these critical documents.

Can ChatGPT Handle Your RFP Responses?

ChatGPT can certainly assist with basic RFP tasks. In a recent demonstration, I uploaded multiple spreadsheet tabs containing RFP questions and watched as ChatGPT analyzed the requirements and generated responses. For a $20 monthly subscription, the AI tool provided:

• Automated responses to functional and non-functional requirements

• Time savings compared to manual research

• Basic content creation that eliminated copy-pasting from previous responses

For example, when asked about SSO integration with Active Directory, ChatGPT generated a reasonable response stating that “pre-built AD connectors are available.” For simple RFPs with straightforward questions, this level of assistance might be sufficient.

However, I quickly noticed some limitations. The responses lacked structure, didn’t always follow the requested yes/comment format, and provided generic descriptions that would require significant human review and editing.

Video transcript

Transcript is auto-generated and may contain minor errors.

Hey there. My name's Rob, and I'm from Auto RFP.ai. Today, we're going to be jumping into how you can use Chat GPT projects and the powers of Chat GPT's latest models to answer all of your requests for proposals, your requests for informations, requests for quotes, security questionnaires, and any expression of interest you might get from your potential buyers. Let's jump into it. So, here I'm going to create a new project. We're going to call that our RFP response project. And in this project, what are we going to be doing is pulling in all of our relevant company information, whether that be things like our policies and procedures, for instance, our business continuity policy. We're going to pull in other relevant information like our customer stories or case studies. We're going to pull in and most importantly, our past RFP responses. If you don't have any past RFP responses, potentially if you have other areas like your help documentation or

service documentations in relation to what kind of services or products you offer, that might be really helpful for kind of like functional or non-functional requirements that you might get in a request for proposal. All righty, let's jump into it. So, first we're going to start with instructions. Now, I've got one pre-planned here. And in an instruction, what that is is providing Chat GPT a lot of context and kind of like a master prompt that it uses in every single time it looks to answer any of our additional requests res- prompts in a chat. And so, it's really important to set up a master prompt or uh instruction here for success. So, what we have here is I'm giving it what part is it playing? So, it's a B2B SaaS sales professional cuz my fake company is a HR tech company in the US. We're an RFP manager and response writer, And its primary responsibility is to complete RFPs, RFIs, security questionnaires, and other relevant

information for this SaaS company. It's only going to be using official content provided and uploaded project files. So, I'm being really restrictive here in my instructions to really try to reduce the chance of hallucination. What I don't want happening is the AI to provide an incorrect response that it's made up on one of my RFPs. Of course, I'm going to be checking it before I submit it to the customer, but I want to make sure it's still pulling the information from the relevant files rather than just giving me kind of made up and hallucinated answers. So, I've provided a bunch of different prompts here and instructions to really make that less likely. Then, and then here, what I have is what kind of answers do I want ChatGPT to give? So, yes or no, one to two sentence explanations. I always like where it's, you know, yes, {comma} and then has information for that RFP. So, that's what I'm asking here. I'm going to click save, and I've just added that instruction to my ChatGPT

project. And you can see it here, and that's going to always going to use that when I'm going forward. Next, I want to add my files. Your files might be things in relation to your company like your company pro overview, your policies, your procedures, customer stories or case studies, and most importantly is your past RFP responses. So, if you've previously done RFPs or and proposals and so on, you want to make sure you're providing that information there. Again, make sure the information is timely, relevant, and don't provide too much here. Although I just said provide as much as possible, if you have too much, you're going to wait A, potentially hit the context window of the the token limit of ChatGPT when it goes to answer, and might not be able to look through all the documents, but B, it's actually more likely that you hit the limit that you can have in a project. But, start by giving it as much as possible, and then try to remove things if it's not as relevant for those

particular answers, or when you go to answer particular RFP, ask it to only refer to certain project files that are relevant for that RFP. So, here I'm going to add my documents. So, I have past RFP answers and business continuity plan, and I have a company document that's all really relevant for my request for proposals. So, I'm going to add that in, and then like I said, ChatGPT will be able to search those documents. Uh these are all in document .docx, they could be in PDF, PowerPoint, and so on, Excel, and it's going to then use that what I'm going to answer. And you can see there, there's my project files. Next, I'm going to be trying to answer a new RFP here. Can you help me answer this RFP? So, I'm going to add that file, and here's my fake RFP. This RFP is a fake library in the United States, uh and they're looking for HR tech,

specifically applicant tracking software, which is what my software, or fake software company, provides. Jumping in here, it's going to And you can see there, I haven't provided much of a prompt. Usually, if when I'm using ChatGPT, I provide a lot more information, but because I have those custom instructions and project files, it's using all that context when answering this particular information. So, even though this is quite straightforward, it's actually going to be looking through and then try to answer that information. It's now looking at You can see here, it's going through and analyzing. It actually did pick up that my fake RFP had two sheets. So, I've got a sheet for my non-functional requirements and a sheet for my functional requirements. And it's going to be going through here and answering that information. And there we go. It's answered that. So, let's have a quick look at it. So, I'll download that information.

Great. So, ChatGPT has gone through there that project instructions and looked to answer all of the Excel questions. So, jumping in here, we can see that it's completed the functional RFP responses. And you can see that I've kind of chatted through and asked it to have a look at all the relevant information. It's gone through and answered that information. And then I can kind of download those relevant CSVs. This one's a little bit confusing cuz I've had multiple tabs. So, it's kind of worked through all separately and then yeah, it tried to answer each one as it can. And you kind of see this information here. It's It's done pretty well. There's some pretty useful information. Uh and once I export that and pull it back together into a spreadsheet, I can have a look at what my functional and non-functional requirements look like. So, here I have my requirements. And you can see here it's kind of answered those different details. So, does my system support SSO integration with active directory? Uh yeah, it says it's a pre-built AD connectors are available. Um

whether this analysis is my fake customer, so whether this is correct or not, I'm not sure. So, I gave it some fake information to base it off. But, you can kind of work through it. And obviously, you would know your company best whether this information was actually correct. It hasn't really followed my instructions too well in terms of yes, {comma}. It's kind of just provided more generic description and comments. But, I can obviously go through here and answer those. Either way, it saved me a lot of time. It saved me from having to either A, manually go through and find those answers, or B, it saved me time from having to look back and kind of copy and paste between those responses. That's pretty good for a $20 a month subscription. Now, if you're doing anything larger than this, or if you want to save even more time, so I'm Rob and we're from AutoRFP.ai. We're an AI RFP software. So, you can kind of see here, we do everything that ChatGPT might be helping you with and a lot more. We have great collaboration

features, built-in trust scores, so you know how reliable that answer is, and not just and no project limit in terms of how many different content items you can have. You can load as many as you'd like. You can upload PDFs, Word docs, automatically answer and generate responses for you. We're trusted by some of the world's largest companies from startups to Fortune 500s, including software companies like Sugar CRM, Red Rover, or Fintech OS. And we're rated 4.9 stars and more on G2, Gartner, and other review sites. But, you can find out all about us at AutoRFP.ai. And if you're interested in learning more, you can of course book an online demonstration. I'm Rob from AutoRFP and I hope you found that run-through really interesting around RFP response with ChatGPT projects.

The Limitations of Using General AI for RFPs

Before you commit to using ChatGPT as your primary RFP response tool, consider these significant drawbacks:

1. Accuracy Concerns: ChatGPT generates responses based on its training data, not your specific product capabilities or company policies. This creates a risk of inaccurate or misleading information that could damage your credibility.

2. Limited Context Understanding: Unlike RFP Software solutions, ChatGPT can’t access your existing RFP content library or learn from your previous successful proposals.

3. No Collaboration Features: Enterprise RFPs typically require input from multiple departments. ChatGPT lacks the collaboration tools needed to coordinate responses across teams.

4. Format Limitations: While ChatGPT can handle text-based questions, it struggles with complex formatting requirements, conditional responses, or multi-part RFPs.

5. No Trust Scoring: Without reliability indicators, you can’t quickly determine which responses need subject matter expert verification.

We have a lot of experience in using RFP Software, and ChatGPT can get you part of the way in answering RFPs. But if you’re finding you have complex RFPs it may instead take more time than using a dedicated AI RFP Software.

Purpose-Built RFP Software: The Enterprise Alternative

For organizations that regularly respond to RFPs, dedicated software offers significant advantages over general AI tools, and when paired with a house RFP response template, you get speed and consistency. The top RFP Software solutions provide:

1. Specialized RFP Automation: Tools designed specifically for the RFP workflow, from intake to submission.

2. Content Libraries: Centralized repositories of approved responses that ensure accuracy and consistency.

3. Collaboration Tools: Workflows that allow multiple team members to contribute to and review responses.

4. Multi-Format Support: Ability to handle Excel, Word, PDF, and online portal formats with equal ease.

5. Trust Scoring: Confidence indicators that help you identify which responses need additional review.

According to a recent Forrester study, organizations using purpose-built RFP software report 35% faster response times and a 27% increase in win rates compared to those using general-purpose tools or manual processes. The ROI becomes particularly compelling for companies responding to more than 10 RFPs annually.

When to Use ChatGPT vs. Dedicated RFP Software

ChatGPT can be appropriate for:

• Small businesses with infrequent RFP participation

• Simple questionnaires with straightforward responses

• Early drafts that will undergo extensive human review

• Organizations with limited RFP response budgets

Dedicated RFP software becomes essential when:

• Your company responds to multiple RFPs monthly

• Proposals require input from multiple departments

• RFPs include complex security or compliance questions

• Accuracy and consistency across proposals is critical

• You need to track win rates and proposal analytics

As noted by procurement specialists at Gartner, “Organizations that invest in purpose-built RFP response technology demonstrate significantly higher proposal quality scores and win rates compared to those relying on general productivity tools.”

AI Advancements in RFP Software

The RFP software landscape itself is evolving rapidly with AI integration. Modern solutions combine the accessibility of AI with industry-specific knowledge and collaboration features. Solutions featuring AI bid writing capabilities take automation to new levels.

The newest Generative AI for RFPs goes beyond what’s possible with ChatGPT alone. For example, specialized RFP platforms can:

• Learn your company’s specific product capabilities and terminology

• Maintain consistent branding and messaging across all responses

• Intelligently route questions to the appropriate subject matter experts

• Track version history and approval workflows

• Provide analytics on response performance and win rates

According to McKinsey’s research on procurement technology, AI-powered RFP tools can reduce response time by up to 40% while improving proposal quality through data-driven insights and best practice automation. This is particularly valuable as procurement departments increasingly utilize AI to evaluate vendor responses.

How to Automate Proposals with ChatGPT (If You Must)

If you’re determined to use ChatGPT for RFP responses despite its limitations, follow these RFP best practices:

1. Provide Clear Context: Give ChatGPT specific information about your products, services, and company policies before asking it to generate responses.

2. Request Structured Outputs: Specify exactly how you want responses formatted to match RFP requirements.

3. Human Review is Non-Negotiable: Never submit ChatGPT responses without thorough review by subject matter experts.

4. Use for Draft Creation Only: Leverage ChatGPT to create initial drafts, not final responses.

5. Supplement with Company Documentation: Provide links or excerpts from your official documentation to improve accuracy.

The Harvard Business Review notes that “AI tools like ChatGPT work best as AI RFP writing assistant rather than autonomous content creators, particularly for high-stakes business communications like proposals and RFPs.” This approach maximizes benefits while minimizing risks.

The Future: AI RFP Agents

The next evolution in proposal automation is already emerging with AI agents specifically trained for RFP responses. These specialized tools combine the accessibility of ChatGPT with industry-specific knowledge and integration capabilities.

For example, the HubSpot RFP Agent shows how specialized AI can connect with your CRM data to generate more accurate, contextual responses - something legacy RFP platforms like Loopio struggle to match.. Similarly, platforms like AutoRFP.ai are pioneering a new category of intelligent RFP software that learns from your successful proposals.

These specialized agents offer significant advantages over general AI:

• They understand RFP-specific terminology and formats

• They can access your existing proposal content and CRM data

• They provide confidence scores for generated responses

• They integrate with your existing business systems

According to a recent study published in the Journal of Business-to-Business Marketing, organizations that adopt AI-powered proposal tools see an average increase in win rates of 23% compared to those using traditional methods or general AI assistants like ChatGPT.

Making the Right Choice for Your Business

When evaluating your RFP response strategy, consider these factors:

1. Volume and Complexity: How many RFPs do you respond to monthly, and how complex are they?

2. Resource Constraints: What is your current team size and bandwidth?

3. Competitive Landscape: How sophisticated are your competitors’ proposals?

4. Growth Objectives: Are you looking to scale your RFP response capability?

If you’re responding to multiple complex RFPs monthly with limited resources in a competitive market, purpose-built RFP software will likely deliver the best ROI. The automation capabilities, collaboration features, and quality control mechanisms far outweigh the additional cost compared to general AI subscriptions.

Conclusion

While ChatGPT offers a convenient entry point for RFP automation, its limitations become apparent when handling complex, high-stakes proposals. For occasional, simple RFPs, it might be sufficient. However, for organizations that regularly compete through formal proposals, purpose-built RFP software delivers superior results through specialized features, collaboration tools, and proposal analytics.

As procurement processes become increasingly sophisticated, the quality and professionalism of your RFP responses matter more than ever. If you’re interested in purchasing RFP Software that combines AI capabilities with purpose-built features, exploring dedicated solutions should be your next step.

The choice ultimately depends on your specific needs, but understanding the capabilities and limitations of each approach will help you make an informed decision that supports your business goals and maximizes your win rates.