By now, you’ve probably seen the flood of custom sales GPTs hitting your LinkedIn feed.
These AI assistants are fine-tuned to specific roles, workflows, and teams. While B2B marketing teams were early adopters, B2B sales is now quickly catching up.
And for good reason.
Sales teams are under pressure to do more with less: fewer resources, tighter budgets, longer deal cycles. Reps need to move faster, write better, and handle more complexity, all without dropping the ball on personalisation or compliance.
It’s important to experiment with ChatGPT custom sales GPTs to remove bottlenecks, improve rep productivity, and make sales workflows more scalable and consistent. This way, you can have your very own sales assistant, making your life easier.
These sales GPTs aren’t just “nice-to-have” AI toys for sales representatives. They’re built to support SDR and AE teams in the blockers they face every day, especially in fast-moving, outbound-heavy environments.
In this blog, we’re sharing five powerful sales GPT use cases, designed to boost productivity, improve pipeline coverage, and unlock time for higher-impact selling.
Cold outreach is still the backbone of many outbound sales motions, but let’s be honest: writing personalised, high-impact sales emails at scale is hard.
Whether it’s an SDR trying to crack into a new vertical or an AE following up on intent data, reps often get stuck:
A Cold Email Writer sales GPT can help reps break through the blank page faster, while maintaining quality and personalisation in your sales emails.
Start by training your sales GPT on:
Then set up a simple input prompt for the rep to complete, like:
“Write a cold email to a [job title] at a [industry] company. They’ve shown interest in [topic] based on intent data.”
The GPT can return:
The result?
Reps move faster, emails stay compliant and on-brand, and your outreach efforts feel more relevant, without the copy-paste fatigue.
Every rep faces tough objections, whether it’s:
Handling these moments well can be the difference between a stalled deal and a booked meeting.
Instead of relying on memory, internal docs, or last-minute Slack messages, reps could use an Objection Handling GPT to generate sharp, confident responses on the fly.
You could train this GPT on:
Then prompt it with:
“The prospect said [insert objection]. Generate a response that acknowledges the concern, reframes the value, and keeps the conversation moving forward.”
The GPT could return:
For example, when a prospect says, “We’re already working with [Competitor]”, your GPT can return:
This kind of GPT becomes especially valuable for newer reps, helping them learn the right language, and for seasoned reps who want to move faster with consistent, high-quality messaging.
Cold calling is still one of the fastest ways to build pipeline, but it can be intimidating, especially for newer reps or those targeting unfamiliar industries.
Reps often ask:
A Cold Call Script GPT can help reps feel more prepared, confident, and consistent, without relying on static scripts or memory alone.
Feed your GPT:
Prompt the GPT like this:
“Generate a cold call script for a [job title] in [industry], based in [region]. Focus on [pain point or intent signal].”
The output can include:
Bonus: Include tone options (e.g. friendly, direct, consultative) depending on region or sales style.
This kind of GPT won’t replace call training, but it’s a brilliant on-ramp for new reps and a quick-reference tool for more experienced sellers juggling multiple personas or territories.
When a prospect brings up a competitor mid-call, reps need to respond with clarity, not vagueness or hesitation.
But keeping battlecards up to date and accessible can be a challenge, especially when deals move fast.
A Competitor Battlecard GPT can act as a real-time, always-updated AI sales resource that equips your reps with relevant differentiators in seconds.
Train your GPT on:
Then ask:
“I’m on a call, and the prospect mentioned [Competitor X]. What are our top differentiators, proof points, and a safe way to reframe the conversation?”
The GPT could respond with:
Bonus: You can also include guidance on when not to engage in a comparison, preserving trust and professionalism.
This kind of GPT empowers reps to handle objections or comparisons confidently while ensuring consistency in your company’s positioning.
After a sales call, the last thing most reps want to do is write a recap email or manually log notes into the CRM.
But strong follow-ups = better deal progression.
A Call Recap and follow-up GPT can help reps summarise key takeaways and generate a well-structured follow-up email within minutes of hanging up.
Feed your GPT:
Then prompt it with:
“Here’s a transcript from my recent discovery call. Generate a short summary, key action items, and a follow-up email with next steps.”
The GPT can return:
Advanced option: Include suggested calendar links, content to send, or pre-written CTAs for demo scheduling.
This GPT saves time, reduces forgotten follow-ups, and makes your team look more professional and responsive, without adding to the admin burden.
What all of these ideas have in common is that they’re not just theoretical.
They’re built around real pain points your sales team faces daily, whether that’s writing smarter emails, prepping for tough calls, improving customer relations, generating call summaries, or staying sharp against competitors.
The real opportunity with custom sales GPTs isn’t just about saving time (though that’s a huge win). It’s about creating more consistent, scalable, and effective sales workflows, without relying on manual effort or tribal knowledge.
And perhaps more importantly, these AI GPTs shift your mindset from:
“How do I get AI to write this for me?”
To:
“Where are reps stuck, and how can AI help them move faster and sell better?”
It’s important to remember that the sales tech stack of the future will be about augmentation, not automation.
So whether you’re a sales leader looking to uplevel your team, or an SDR just trying to get more done in less time, building your own custom GPTs is a smart place to start.