Almost Timely News: 🗞️ How to Improve Sales Skills with Generative AI (2025-11-02)

Almost Timely News: 🗞️ How to Improve Sales Skills with Generative AI (2025-11-02) :: View in Browser

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What’s On My Mind: How to Improve Sales Skills with Generative AI

This week, let’s talk about how to dramatically improve your selling skills with generative AI. Large language models like the ones that power ChatGPT are masters of language, with encyclopedic knowledge of nearly every way language can be used. In some cases, they’re dangerously persuasive, convincing or reinforcing beliefs even in the absence of any evidence.

We can put those capabilities to productive use by helping us become better at the profession of selling. Like I say all the time, AI takes the good and makes it better, takes the bad and makes it worse, so before we dig into selling skills, we should briefly touch on AI sales ethics.

As with any use of AI, ethics revolves around how we use the technology. It is largely amoral - neither good nor evil. How we apply it, how we use it, is what determines an ethical or unethical outcome. If you’re selling a product or service that genuinely helps and benefits people, AI can help you sell it faster and better. If you’re selling a product or service that’s an outright scam, AI can help you sell that better and faster, too.

The key message here is that you have to have your ethics sorted out before you use AI to become better at selling what you already sell. Because if what you’re selling or the way your company does business is unethical, AI won’t fix that.

Part 1 : Understanding Who You Sell To

Think through all the ways you’ve been taught to sell. For a lot of sales professionals, you’re often taught all these different frameworks and selling methods. You’ve heard everything from “grab them by the tie and choke them till they buy” to a sea of acronyms for different sales methods.

But what almost every sales training does wrong is ignore the customer or pay modest lip service to the customer. Katie Robbert pointed this out recently in a conversation about sales frameworks, which we cover in an upcoming episode of the Trust Insights podcast, In-Ear Insights..

Who are we selling to? What do they want? Generally speaking, they never want to just give us money. They never want to just spend money for no reason. They want a solution to a problem they have, and they want us to make their pain go away. But if we don’t understand them, we can’t understand their point of view.

This is where customer profiling comes in. Who are your customers today, especially your best customers? Who do you want to have as a customer? Do you know?

Perhaps you already have something like an ideal customer profile. Is it backed by data, or just by the opinion of folks at your company? Is it realistic? Sure, Trust Insights would enjoy having Apple as a client, or Walmart. Is that realistic and the best use of time for our sales efforts? Probably not.

Here’s a simple hack to get started validating your existing customer profiles. On the social media platform that is the best fit for your audience, find and download the 5 social media profiles of either your ideal customer decision makers (if you’re B2B) or your ideal buyer (if you’re B2C). you’re on LinkedIn, chances are you’re doing B2B. If you’re spending a lot of your time on Instagram, chances are B2C. Get your data from the place where most of your customers hang out.

Use a prompt like this with the smartest AI model you have access to:

You’re a market research expert and market strategist who knows buyer personas, customer profiles, ICPs, ideal customer profiles. I’ve attached our existing ideal customer profile and the social media data of 5 people who represent our ideal buyer. Based on your knowledge of demographics, psychographics, technographics, firmographics, needs, pain points, goals, and motivations, evaluate each category of our ideal customer profile and how it compares to the real peoples’ profiles I’ve attached. What does our ideal customer profile get right? What does it get wrong? What is missing from our ICP? What is unnecessary in our ICP? What mistakes or assumptions could be silent turnoffs if we marketed and sold with them?

Take the results of the analysis, discuss, perhaps do another iteration with more data, and then update your ideal customer profiles accordingly. Most important, make sure you have it stored in some machine-readable format (like plain text) that you can use with AI models going forward. You’re going to need it.

Shameless plug: if you don’t have an ideal customer profile to start with, Trust Insights builds those for clients. Learn more here.

Part 2 : Understanding What You Sell

Now that you know who you’re selling to, it’s time to audit what you sell. Here’s where the rubber meets the road - what you think you sell and what you actually sell are probably different. More important, what you think you sell and what your customer thinks you sell are probably different, and that difference can be what wins or loses the buyer.

So here’s what you’ll do. Using the Deep Research tool of your choice (Gemini, ChatGPT, Copilot Research Agent, Claude, etc.), you’ll commission a Deep Research project on your own company. Here’s a starting prompt to use:

You’re a product marketing expert. Evaluate the different products and services of this company: {your company name} at this website: {your website}. You must ONLY use the company website as a reference source, no other outside sources. Based on this source, evaluate what the company sells, what the company says its value proposition to the buyer is for the things it sells, what the products or services cost, what the company says about how the products or services benefit the buyer, what needs the company says their products and services fulfill, and what the company says the buying process is. Critically important: do not infer these items; rely on what the company says on its website. If the company does not explicitly say one of these items, note the omission as a critical error on the company’s part. Present a report that includes all these items.

You’ll notice that we’re not working with the ideal customer profile yet. That’s by design. You will also notice that in that prompt I kept saying over and over again what the company says because we want to try on what your company is saying, not what the AI model thinks, but literally what does the company say about your products and services.

Next, take the results of your Deep Research tool and… this part’s going to hurt, probably. Using the smartest AI model you have, have it compare the two documents.

You’re a sales coaching expert. Given this company’s products and services audit and this company’s ideal customer profile, evaluate how successfully the company meets the needs, pain points, goals, and motivations of the ideal customer. What does the company get right? What does the company get wrong? What is missing from the company’s offering that the customer desperately wants to buy? What is unnecessarily offered from the company that the buyer probably has no interest in? What ways does the company’s product marketing fit distract or detract from the sales process, turning off the ideal customer? Evaluate 3-7 ways the company could improve its product market fit to more successfully sell to the ideal customer, in descending order by goodness of fit. Provide a report that evaluates all these items.

You’ll now have a roadmap that explains how well you meet the buyer’s needs. “But product marketing isn’t a sales job” you’ll hear from the various stakeholders in your organization. It doesn’t matter whose job it is. If the sales team is trying to sell something that the buyer doesn’t want, you’re wasting everyone’s time. Fix your product market fit first before worrying about the sales process.