Most teams are already connected to their enterprise tools through Claude, ChatGPT, or Copilot in some form. Here are a few practical ways to put that same assistant to work inside your RFP process with prompts included. Most of these assume you are already using an RFP software that you can connect to your LLM. A few of these are written so you can use them even if you don't use a dedicated RFP tool and your process is spreadsheet or document based.
14 ways to use LLMs in your RFP Process
1. Run a pre-bid analysis
What it does: Get detailed reasoning on incoming RFP win probability based on the RFP and your product features/functionality.
Use this prompt: "Could you read through the RFP brief and questionnaire files I've attached, and then compare that against our product documentations found here [documentation link]? Highlight any product gaps or other red flags. End with a bid or no-bid call and your reasoning."
2. Track every open bid
What it does: Start every week with a scheduled prompt to track open bids.
Use this prompt: "Show me every open RFP project in [X tool] with the customer, due date, manager, file count, and how many questions are still unanswered. Flag the ones that will not make their date at the current pace."
3. Catch contradictions across files within the same RFP
What it does: Make sure you're not telling two different things in the same RFP
Use this prompt: "RFP project [name] has several files. Read the answers across all of them and show me anywhere two answers contradict each other or give a different number for the same thing."
4. Back up answers with customer proof
What it does: Evaluators reward evidence. Place customer proof where it matters most.
Use this prompt: "Go through the answers in RFP [name] and tell me which five would be strongest with a customer example. Pull matching proof from [our customer stories in Google Drive or Notion or other tool] and draft the addition for each."
5. Add winning RFP answers back into your knowledge base
What it does: When you like the answers you wrote, feed it back into the system so your tool can learn from it or back into a spreadsheet.
Use this prompt: "Take the completed RFP [name]. Find the answers that would hold up for any customer, strip out anything specific to this deal, and mark them reusable in [X tool]. Show me the list before you change anything."
6. Report on your open pipeline
What it does: Get a clear read on where every deal actually stands before a status meeting.
Use this prompt: "Pull every open RFP I'm tracking. Give me a summary by stage: how many are still in draft, how many are ready for review, how many are out the door waiting on a decision. Flag anything overdue against its due date, and anything with no activity in the last five days."
7. Find the themes behind your wins
What it does: Identify if there are any themes that helped you win across similar RFPs
Use this prompt: "Look at [list of RFPs we won] or [folder of past winning RFPs]. Read through the answers and any notes on why we won each one. Tell me what shows up again and again, specific answers, phrases, proof points, or themes that keep repeating across the wins. Then check RFP [current name] and tell me if any of those are missing."
8. Track your RFP cycle time
What it does: See how long RFPs actually take from intake to submission.
Use this prompt: "Look at the last 10 RFPs we completed. For each one, tell me how many days it took from intake to submission. Flag anything that took noticeably longer than the rest, and see if there's a pattern, a specific section, reviewer, or stage where things consistently stall."
9. Check what you can't answer yet
What it does: Find the gaps in your knowledge base
Use this prompt: "Read through RFP [name]. Compare the questions against what's in our knowledge base or past answers. Tell me which ones we have strong, ready answers for, which ones are weak or outdated, and which ones we have nothing on at all."
10. Draft answers for the follow-up questions
What it does: Evaluators dig into your best answers hardest. Have something ready.
Use this prompt: "Look at the strongest answers in RFP [name], the ones most likely to get a follow-up question or a request for a live demo. For each one, tell me what a skeptical evaluator would probably ask next, and draft a short answer for each of those follow-ups now."
12. Add a new feature across your knowledge base
What it does: Your product team released a new feature. Find every place a new capability should get mentioned in your knowledge library and update it.
Use this prompt: "We just released [feature name], here's what it does: [short description]. Search our knowledge base for questions this would now change the answer to, places where we'd have said 'no' or 'not yet' before, or where this adds something worth mentioning. Show me the list of entries to update before you touch anything."
13. Rename a product everywhere at once
What it does: Catch every place an old product name still exists in your knowledge base
Use this prompt: "Search our knowledge base for every entry that mentions [old product name]. Show me each one, then tell me which need to be renamed to [new product name] and which are talking about the old product specifically and shouldn't change. Show me the list before you update anything."
14. Update your knowledge base entries
What it does: Find out which answers are still accurate and which ones might need a refresh.
Use this prompt: "Pull every curated Q&A in our knowledge base that hasn't been reviewed in the last 90 days. Check them against [our current documentation, product pages, or wherever the source of truth lives] and tell me which ones are still accurate, which ones need an update, and which ones reference something that no longer exists. Show me the list before you change anything."
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