Sales

Sales Proposals

How to write a sales proposal with AI in 2026

79% of sales teams now use AI for proposals — but most are still spending 25+ hours on each one. The problem isn't the technology; it's the workflow. This guide breaks down exactly what a winning sales proposal should include, when to send it, and how to use AI at every step to build personalized, deal-closing proposals in a fraction of the time.

May 18, 2026

AI isn’t a nice-to-have anymore; it’s a requirement. According to Loopio’s RFP Response Trends & Benchmarks report, 79% of sales teams use generative AI for RFP (request for proposal) responses, up from 34% in 2023. But according to APMP reports, the average time to send a proposal after an RFP is still 25 hours. For teams not already using AI in your proposals, learning how to write a sales proposal with AI should be one of their first priorities. But it’s clear from the data that even teams using AI aren’t saving that much time.

Tech isn’t the problem. Their workflow is.

In this guide, we’ll cover exactly how to write a sales proposal that wins deals, while using AI to do it in a fraction of the time it would usually take.

What is a sales proposal?

A sales proposal is a standalone document a sales team sends to a prospect to try and get their business. It explains their product or service, compares it to the prospect’s stated needs, and outlines the terms for delivering that product or service. The goal of a proposal is to formalize the conversations you’ve had with a prospect in a clear document that, ideally, leads to a sale. A sales proposal should answer most (if not all) of a prospect’s questions, and allow them to get approval from stakeholders before making a decision.

When should you send a sales proposal?

When you send a sales proposal is almost as important as what you put in it. Send it too early, and you might not have everything you need to build it. Send it too late, and the deal’s already been lost. Sales proposals can be sent at other stages of the deal cycle, but they should reflect where your prospect is in that cycle. But you need enough information to have a chance of winning the deal, which means the ideal time to send a proposal is usually after discovery. But teams with a slow proposal creation process might lose a deal if they start after discovery. Your proposal should be sent after you’ve gathered enough information for discovery, but that doesn’t mean you can’t start writing it before.

Solicited vs. unsolicited proposals

The ideal time to send a sales proposal depends on whether it’s solicited or unsolicited. A solicited proposal is one the prospect requests specifically. They’ve articulated their needs and have asked to see what you can offer. You should send a solicited proposal as soon as possible after it’s been requested, while maintaining a certain level of quality.

An unsolicited proposal is sent before a buyer expresses a desire for it. Sales teams will rarely send unsolicited proposals, and even then only when they know they’re likely to be a good fit. An unsolicited proposal is usually sent before discovery is complete.

What should a sales proposal include?

Sales proposals should be customized to your prospect, your industry, and your offering. But, that being said, they should still follow this sales proposal format.

Section 1: Cover page

The cover page should include the name of your company, your prospect’s company, the date it’s sent, and the proposal number to reference it later. It needs to be accurate to your brand and, ideally, have a visual that catches the eye.

Section 2: Executive summary

Sales teams often make two mistakes with the executive summary:

  • They make it too generic.
  • They make it about their company rather than the prospect.

The executive summary should lead with the prospect’s problem rather than what your product or service can do. Align stakeholder priorities, reflect the prospect’s challenges, and guide decision making with the right details.

Section 3: Problem statement

Define the prospect’s problem in the client’s language, using what you uncovered in discovery. The goal is to quickly show that you understand exactly what they need, before you move into how you’re going to meet that need.

Section 4: Proposed solution

How are you going to solve the prospect’s problem? You want to be specific here, using actual examples from what you’ve done in the past. Calling your strategy “comprehensive” doesn’t cut it. Describe it and what you’re going to do.

Section 5: Pricing

The pricing section is one of the most important in your proposal, second only to the executive summary. Prospects appreciate details, so they know exactly what they’re paying for, but it’s easy to go overboard here. Consider offering just a single recommended price rather than multiple tiers. That says you’ve built a proposal specific to a prospect’s needs rather than just copying and pasting your pricing page.

Section 6: Timeline and next steps

This section details what’s going to happen after a prospect accepts your offer. Include specific steps, dates for those steps, and a clear call to action describing the next step they need to take.

Section 7: Social proof and terms

At the tail end of your proposal, you should include case studies and testimonials describing the product or service you’re offering in your proposal. After that, make sure to list the terms involved in your offer. If the tool you use for sending proposals supports e-signatures, include a block for that as well.

How to write a business proposal that actually wins deals

Here’s some actionable advice your teams can use to improve the way they write sales proposals.

Lead with the prospect’s problem (not yours)

The first few lines of your proposal should outline your prospect’s needs, showing that you understand exactly what they’re looking for. Too many sales teams draft this section according to what they can offer, which doesn’t answer the prospect’s most pressing question: “Can you fix my problem?”

Be specific about scope

A prospect reading your proposal should know exactly what you’re going to offer them, how it’ll be delivered, and how it’ll meet their needs. You need to be specific about each of these elements, rather than making broad promises. Being overly broad erodes trust. Specificity builds it.

Use the prospect’s language

If you’re sending a proposal after discovery, you should have plenty of conversations in which prospects explain their problem and their needs. Using that language in your proposal shows that you understand what they’re looking for and increases your chances of winning a deal.

Keep it short

It’s tempting to pack your proposal with details to answer every potential question, but a 30-page proposal will rarely lead to a won deal. You need to strike a balance between a proposal that’s thorough enough to answer a prospect’s questions without overwhelming them with its length. The best way to do that? Review what’s worked for you in the past.

End with a clear next step

Your proposal shouldn’t leave a prospect wondering what’s next. Have a clear next step, whether that’s getting a signature, setting up a call with your team, or even just emailing you to confirm they want to move forward.

How to write a sales proposal with AI

AI doesn’t completely replace the salesperson in the proposal creation process. It takes on the grunt work (e.g., research, building templates) but still depends on human approvals, human judgment, and human context. Most AI-powered proposal tools will have this process built in, meaning they’ll ask the right questions at every stage, guiding you through drafting every proposal.

Here’s how you can write a proposal with AI.

Step 1: Prep your inputs

An AI model is only as good as the data you give it. That’s why a tool that integrates natively with your CRM is so important; it can pull prospect info, pain points from discovery calls, and language from winning proposals. Where a rep would usually need to spend hours researching what they need to build a fully custom proposal, an AI model can do it in minutes.

AI tools can usually also connect with other tools, like Slack, Teams, or Google Drive, to get a more complete picture of what you need from your proposals.+

Step 2: Choose your proposal template

Depending on the AI tool you use, you can either choose from a selection of pre-made proposal templates or generate a new template every time. Even when generating brand new templates, you should have a list of proven prompts, with clear parameters on what to include.

An AI tool can also guide you through choosing the right template, like what a discovery proposal should include.

Step 3: Generate the first draft

Once you’ve prompted it, your AI tool will build the first draft of your proposal in moments. It may ask for additional context or offer examples you can choose between for specific sections. It can also pull from what it knows about a prospect, based on discovery conversations and prospecting data, to get context for that draft. The first draft will be personalized with both your and your prospect’s branding, and can be tailored to specific industries, products, and pain points.

Step 4: Review and personalize

This is where a salesperson can have the most impact. AI models can generate executive summaries, scope, and problem framing pretty effectively on the first go. But you should always review pricing information, specific deliverables, and strategic position. Not only that, but AI tools like cobl allow you to make any edits with natural language, as though you were talking with a colleague.

Want to try drafting a sales proposal with AI? Try cobl for free.

Step 5: Send, track, and follow up

Proposals are best sent with live links, which allow you to track when they’re opened, how long they’re read, and which sections prospects spend the most time on. If you have that data, make sure your salespeople know to follow up when a prospect is reading your proposal, rather than days later.

Sales proposal mistakes that kill deals

Here’s a quick list of the mistakes your team should watch out for in your proposal process.

  • Sending before discovery is done: In rare cases, an unsolicited proposal can be sent before you finish discovery. But this stage is so essential to finding the language you should use and the actual needs you need to meet that you should almost always send proposals when it’s complete.
  • Generic executive summaries: In too many sales proposals, the executive summary is more about your company than about the prospect and their needs.
  • Vague scope: Promises you make in your proposal should be specific. This allows you to build trust with prospects, where vague scope can kill trust before you even have a chance to build it.
  • Burying price: The time prospects spend reading the pricing section is second only to the time spent reading the introduction. It’s a vital part of your proposal, and too many sales teams copy and paste it wholesale. Worse, they don’t set up this section by tying price to value.
  • Sending static PDFs: A PDF is easy to produce and send, but it has serious weaknesses. It doesn’t give you any data, it can’t be signed without any extra tools, and it can’t include any dynamic elements or multimedia. Consider other options.
  • No follow-up system: A proposal needs to stand on its own, but that doesn’t mean you should sit back and wait once they’re sent. A timely follow-up (ideally right when a prospect is reading your proposal) can make the difference between a won deal and a lost one.

Get a free sales proposal template

With cobl, you can build your first proposal in minutes, even if you don’t have all the data you need right away. Whether you need a discovery proposal, an RFP response, or a detailed proposal for an enterprise deal. Sign up for a free cobl account and generate your first proposal!

What should a sales proposal always include?

At a minimum, every sales proposal should include the following:

  • A cover.
  • An executive summary.
  • A problem statement.
  • A proposed solution.
  • Pricing.
  • An onboarding/acquisition timeline.
  • An e-signature block.

The executive summary is arguably the most important section, since it will lead with the prospect’s problem and set up the rest of your proposal.

How long should a sales proposal be?

The ideal length of a sales proposal depends on the type of client you’re pursuing, the industry you’re in, and, ultimately, what’s succeeded in the past. Most B2B sales teams use proposals between two and five pages long. In enterprise sales, a proposal can easily be more than 10 pages with appendices and other extra details. According to data from Zomentum, six to 10 pages is an ideal length.

How do I write a sales proposal quickly with AI?

With an AI proposal generator tool like cobl, you can quickly build a sales proposal by:

  • Connecting your CRM: This gives cobl access to all relevant customer data.
  • Write a prompt describing what you need: Include information about your product or service, your prospect, and past proposals.
  • Answer a few questions about your proposal: You’ll be asked about specific branding, pricing, and the like. Answering these questions gives cobl more data to work with.
  • Review and adjust your draft: A proposal can be generated by cobl in just a few minutes. From there, you can use natural language to make edits, just like if you were talking to a human designer.

Using cobl, you can generate a full sales proposal in minutes instead of hours.

How do I write persuasive sales proposal documents fast?

Persuasive proposals lead with the client’s problem, rather than facts about your company. Being precise about scope and delivery is just as essential, as is recommending limited pricing tiers rather than sharing every single option. Use AI to generate proposals quickly from these foundations, adjusting strategic sections rather than creating them from scratch.

What is the best way to organize a sales proposal for a client?

The best way to organize a sales proposal is according to this seven-section structure:

  • Cover page: Include the company name, client name, date, and proposal number.
  • Executive summary: Lead with the client’s problem and summarize how you can solve that problem.
  • Problem statement: Use points from the discovery stage to lay out the client’s problem in detail.
  • Proposed solution: Demonstrate how your product or service solves the client’s problem specifically.
  • Pricing: Establish value, then describe cost. Too many pricing options can delay a response to your proposal.
  • Timeline and next steps: Describe what happens after a prospect chooses to go with your offer, with specified dates and clear next steps.
  • Social proof and terms: Add case studies or testimonials, specific contract terms, and a place for prospects to sign.
How do I improve sales proposal win rates?

There are three main ways sales teams can improve the win rates on their proposals:

  • Personalization, by using the client’s exact language for pain points and value.
  • Structure, by making one clear recommendation instead of expecting prospects to choose between multiple options.
  • Follow-up, by timing your follow-ups effectively.

How to choose AI proposal software for sales teams?

Here’s what you should look for when choosing AI proposal software:

  • CRM integration: Your CRM is the beating heart of your sales effort, and AI tools can do a lot with that data.
  • Purpose-built sales templates: Generative AI tools should be able to quickly draft templates specific to your industry, product, and prospect.
  • Simple enough for reps to actually use: AI proposal software shouldn’t require weeks of training or advanced prompt engineering to do what you need it to.
  • Data security and encryption: Generic AI models use your data in their training. A dedicated proposal generation tool should keep your data private.
What makes a sales proposal different from a pitch deck?

A pitch deck is an element of a verbal presentation, not a document meant to stand on its own. A proposal is a standalone document that gets circulated among stakeholders without you needing to be in the room. It needs to answer questions and lead to a yes without any support from a salesperson.