Hand up that I may be doing this completely wrong - my approach may not be the best approach. I make a ton of mistakes as a sales leader and time may show this to be one of them.

But I’ve yet to see anyone have success with the approach of “load up the AI Spam Cannon and blast every potential lead.”

So instead of using AI to go wide as fast as possible, I’m using AI to get narrow as fast as possible. And then trusting my AEs to use creativity + humanity to break through the noise and earn meetings in our narrowed focus accounts.

If you’d like a glimpse of how I use AI in my sales org, you can grab a starter prompt guide here:

Here’s how I use AI to make personalised outreach super easy in just 2 minutes 👇


No bulk messages or copy-paste spam.
Just a simple framework that works:

-> Keep a list of all the potential clients (people I’d genuinely like to work with)
-> Thorough research to understand their company and what they do
-> Check if they’re the right fit before reaching out
-> Use AI tools (Claude or ChatGPT) to speed up research and structure it better
-> Create a personalised proposal using Tome or Gamma
-> Turn that into a short, relevant email/DM using GPT.
-> And send

That’s it.

Remember, the goal is to send better DMs, not more.
Even a few thoughtful messages can open more conversations than sending 50-60 random ones.

It might feel slow at first and take a few extra minutes, but once you get used to it, it becomes much easier.

📥Save this for your next outreach and share it with your network if it helps.

I spent the last 3 months building AI into my actual sales workflow.

Not theory. Not a course. Real calls, real prospects, real results.

Here's what changed:

Before: 2-3 hours writing proposals
After: 20 minutes. AI does the draft. I clean it up.

Before: Forgetting to follow up by day 7
After: 5-touch sequences written and scheduled automatically

Before: Walking into discovery calls cold
After: I know their pain points, budget signals, and likely objections before I dial

Before: Researching prospects by hand
After: 50 qualified leads in under an hour

I documented everything. 14 chapters. Real prompts. Copy-paste ready.

Called it "The AI Sales Consultant's Playbook."

$37. Link in comments.

If you're in commission sales and still doing this stuff manually — this is the shortcut I wish I had.

I've been using AI tools more seriously over the last few quarters.

And something unexpected is happening.

The more I use them, the more I notice what they can't do.

They can research a prospect in seconds. Summarise a call. Draft a follow-up. Build a pipeline report.

Genuinely impressive.

But here's what I keep coming back to:

The moment a conversation gets uncomfortable — a budget freeze, a political landmine, a relationship that's gone cold — the AI does not know what to do next.

That stuff lives in the grey zone.

And the grey zone is where enterprise deals are actually won or lost.

I'm still figuring out exactly how AI changes the job. I don't think anyone has fully worked that out yet.

But my instinct after 21 years?

The fundamentals don't get replaced. They get amplified.
Trust. Curiosity. Reading a room. Knowing when to push and when to go quiet.

If anything, AI might be the thing that finally makes us take those skills seriously again.

Curious what others are seeing — especially those of you deeper into AI-assisted selling. What's surprised you most?

#Sales #AI #EnterpriseSales #B2BSales

10 ways I use Claude for sales
Appointments, nurturing, closing, and retention for non-technical founders 👇

I run sales systems not a dev team
I've been building everything with Claude
You describe what you want it builds it

Here's what I actually use it for

1/ Identifying and targeting the right leads
→ Claude builds my full targeting breakdown
→ My team only talks to buyers who fit

2/ ICP from my best 100 clients
→ Claude finds who I should go after
→ Industry, size, role, revenue all mapped out

3/ Full market system built in one day
→ Positioning, value prop, and competitor analysis
→ Plus 12 messaging angles from one brief

4/ Offers backed by 6 months of data
→ Claude structures pricing, packaging, and guarantees
→ Everything built around what already converts

5/ Outbound that books 30% more calls
→ Every email and LinkedIn message personalized
→ No copy paste and no templates ever

6/ Recovers 40% of my no shows
→ Claude sends the right message right time
→ Rebooks the call without my team touching it

7/ Pitch scripts from prospect's 3 biggest problems
→ Not a generic deck nobody reads
→ A conversation framework that actually closes

8/ Objection handling updates every 7 days
→ How AI reads my call notes every week
→ Rewriting responses based on what prospects say

9/ Training built from my best 20 calls
→ Scripts, breakdowns, and scorecards ready to go
→ New hires ramp in 5 days not months

10/ Sales docs nobody has to write
→ Playbooks, SOPs, onboarding, and KPI dashboards
→ Built for a team of 3 or 150

Most of these took under an hour
Some took 20 minutes

It hallucinates sometimes that's real
But for sales ops the ROI is stupid

If your team still does this manually
That's the bottleneck

Comment "Sales" and I'll send the full breakdown
Repost to get early access
Available 48 hours only.

People have been using Codex wrong.

Most people use it to write code faster. I use it to increase our sales firepower.

Instead of doing manual prospecting, I drop a spreadsheet of brands into my Codex project and let it analyze the dataset: company signals, category, metrics, sometimes even checking their socials.

Then it tells me something much more useful than “good lead / bad lead”: why this brand might actually be a fit for us.

Once it finds a match, it updates the sheet with the results and can drafts a message specifically for that company. Not a generic template, a note grounded in their business.

The result is a very different workflow. Outreach starts to feel less like blasting emails and more like running analysis.

Sales starts looking a lot like engineering:
Dataset → reasoning → action.

The real shift is this: AI isn’t just helping write the message. It’s helping decide 𝘄𝗵𝗼 𝗶𝘀 𝘄𝗼𝗿𝘁𝗵 𝗿𝗲𝗮𝗰𝗵𝗶𝗻𝗴 𝗼𝘂𝘁 𝘁𝗼 𝗮𝘁 𝗮𝗹𝗹.

Your agent is your firepower. Use it everywhere you can.

I’ve been using Perplexity Computer every single day for my job.

I have it go through my LinkedIn, identify every lead relevant to the tech I’m selling, at the exact organizations I’m targeting.

Then it digs through all publicly available information about those companies. Press releases, documentation, interviews, product announcements, anything that references initiatives related to the technology I’m selling.

After that, I have it craft highly personalized outreach messages to each lead using the research it compiled.

Guys…

Sales Development Representative and Business Development Representative roles are cooked.

ABSOLUTELY COOKED.

I’m sitting here watching AI do hours of prospecting, research, and personalization in minutes.

It genuinely feels like I have a team of multiple sales reps doing all the dirty work for me.

I’m mind blown.

🤯🤯

STOP writing cold emails from scratch.

This free Claude prospecting playbook replaces 45 minutes of research per prospect.

Most SDRs are still:

- Googling prospects for 20 minutes before writing one email
- Copy-pasting the same generic opener to 200 people
- Getting 1-2% reply rates and blaming the list

I spent 6 months building Claude workflows that my team of 6 SDRs used to hit 140% of quota. Collectively.

Then I documented every prompt, every workflow, every template.

Here is what is inside The Claude Prospecting Playbook:

- The cold email prompt that writes like a human, not a bot
- ICP research prompt that replaces 45 minutes of Googling
- Subject line generator hitting 45%+ open rates
- 7-step cold email sequence builder, full workflow
- Objection handling script generator
- Account prioritization prompt that ranks by likelihood to reply
- 5 bump email prompts for follow-ups 2 through 5
- The system prompt I use for every prospecting conversation

I tested this against ChatGPT head to head for cold outbound.

Claude won. The data is in the playbook.

Want it?

- Connect with me
- Comment "CLAUDE"
- I will DM you everything.

P.S. Repost and I will send you the exact system prompt my top SDR uses daily.
We must be connected or LinkedIn blocks the message.

"Claude Code just KILLED manual outreach!!!"

No, no it didn't

But did it simplify doing great cold email campaigns?

Yes, yes it did!

I just recorded a full video where I break down how to setup a good cold email campaign from start to finish in < 30 min, using Claude Code.

It includes:

- How to use Claude Code to research your audience
- the Cold Email Copywriting Claude Code skill, to let Claude write cold emails that aren't a simple pitch slap
- the Human writing Claude Code skill, to let Claude write (more) like a human and scream less "ai written"
- how to use the Findymail MCP to generate super accurate lead lists without touching a single CSV

and featuring EmailBison's MCP to create the campaigns send the actual emails

comment "thanks" to help more people see this

the video is directly accessible here: https://lnkd.in/eTKHg6MA

let me know what you guys think!

A quick and dirty outreach system for founder-led sales. Bonus, it won't make you hate yourself:

1. Create a project in Claude or ChatGPT and call it something like “sales and business assistant.” Drop in a detailed explanation of your ICP, strategy docs, transcripts of sales calls. This becomes your operating system for outreach, planning, and prospecting.

2. Request a data export from LinkedIn (settings -> privacy -> data). Takes them about 24 hours to send you a CSV of your connections.

3. Drop it into your AI project alongside your targeting framework and ask it for a list of people you should reach out to; ask it to include a score for each. Half the results will be wrong. Tell the AI why. You will eventually get your first 10 to 20 people to reach out to, and your AI project will get smarter.

4. Start a chat inside your project called “leads” or “prospects.” When you’re ready to message someone, screenshot their LinkedIn profile, drop it in, and ask the AI to draft a message. Refine heavily because the draft will make you want to claw your eyes out. Again, the AI will get smarter over time. Human edit always.

5. On the message itself: don’t do the fake “I saw your post about X and it really resonated with me” thing. That is insufferable. Just be human and make the ask clear.

6. Send 15-30 LinkedIn connection requests a week to grow your audience. Build lists of people in Clay on the free tier and enrich your lists with their LinkedIn profiles. Or just search manually on LinkedIn.

7. Track who you’ve messaged. Google doc with name + the last action you took. Mine is ugly but it keeps me honest, and my exec assistant uploads it to HighLevel.

8. You can have Claude Cowork scan your list and set reminders on your calendar to follow up with people if appropriate. It can even include a drafted follow-up message in the event notes to keep you from procrastinating when it's time to send a nudge.

9. Write at least one LinkedIn post a week, ideally two. This is fuel for everything else. Your content is what warms people up after they accept your connection request.

10. Audit your LinkedIn headline and about section. Your profile + content is how people decide if you’re worth paying attention to, and it’s important to the new algorithm.

11. The only metric that matters when you start is “did you do your actions this week.” Fifteen to twenty-five. You can’t control who says yes to a demo but you can control whether you did the work.

If you get into a good groove, keep the momentum going. It’s tough to slow down and have to rev the whole engine back up again.

What am I missing?