Sales

AI-assisted personalized outreach and sales message drafting

Use AI to draft personalized outbound sales messages—cold emails, LinkedIn DMs, sequence steps, and messaging-matrix-based outreach copy—using approved messaging guidance and the seller's brand voice so reps can personalize faster without starting from scratch.

Why the human is still essential here

Sales leaders and reps still define targeting and messaging strategy, provide the guidance and context, and review every message for authenticity, accuracy, and relationship fit before sending.

How people use this

Cold email or LinkedIn DM first draft generator

A rep pastes prospect context (or a LinkedIn profile screenshot) and value props into an AI assistant to draft a short, direct first-touch message that the rep heavily edits and then sends.

ChatGPT / Claude

Messaging-matrix first drafts

AI turns approved positioning, proof points, and CTA rules into a first-pass cold email for a specific prospect.

ChatGPT / Claude

Sheet-to-message personalized first touch

For each qualified account in a spreadsheet, AI turns the research notes into a tailored first-touch email/DM draft grounded in that company's real context rather than a generic template.

ChatGPT / Google Sheets

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Related Prompts (4)

Community stories (10)

LinkedIn

Here’s every way I currently use AI in sales, no bs:

Here’s every way I currently use AI in sales, no bs:

- Find “lookalike” accounts for deals we’ve recently completed so I can prospect best-fit accounts (thank you Kyle Asay)


- Find the most felt pain points at the exec-level to hypothesize and test in my outreach and discovery strategy. (Shout out to Jen Allen-Knuth for this.)


- Draft my cold emails with an extremely specific messaging matrix - Always editing them before sending. (Got this one from Jason Bay)


- Consolidate prior convos into high-level problem statements to recap on calls. (Nick Cegelski, thank you)



That is it.


Most of the work I actually do is still manual. AI rarely gives me anything I can send out right away.


I don't hate AI.


But I can't stand the nonstop noise. Every conversation doesn't need to be about AI.

TH
Tomas HinestrosaFounder & CEO, Metric Outbound
Apr 10, 2026
LinkedIn

83% of sales teams are using AI.

83% of sales teams are using AI.

83% of them are getting generic garbage back.


I know because I was one of them.


A year ago I asked an AI tool to write me a cold outreach message for a San Diego business owner. What I got back read like a press release. No context. No pain point. No reason to respond.


The problem wasn't the tool. It was my input.


Here's what I've found after testing this daily: AI is only as good as the instructions you give it. Vague in, vague out. Specific in, you get something actually usable.


So I built a prompt I now use for every cold email. Copy it:

"Write a cold email for a San Diego business owner. Here is the company website: [INSERT URL]. Here is who I am emailing and their title: [INSERT NAME AND TITLE]. Subject line: one line that shows clear value to them, nothing clever. Paragraph one: one sentence on who I am and my legitimacy, one sentence on what I'm offering. Paragraph two: two sentences max. Show I've done homework on their business. Paint a quick picture of what we could do together and what I might need from them. Paragraph three: two sentences. Direct call to action. Include a phone number so they don't have to go back and forth." 📋


That's the difference between a generic blast and something that feels like it was written specifically for them. Because now it is.


Here's the bigger lesson for San Diego business owners reading this:

Your wireless setup probably hasn't been reviewed in two to three years. Most haven't. And your carrier isn't calling to offer you a better deal. That's not how it works.


But when you know your options, you have leverage. Sometimes folding T-Mobile into your current setup isn't about switching. It's about having a real choice at the table. 📲


What does your cold outreach look like right now? Are you using AI to build it or still writing from scratch?

AM
Arend MacapagalMajor Account Executive at T-Mobile
Apr 9, 2026
Reddit

I turned ChatGPT into my best-performing sales assistant — here’s how (and you can copy it)

I used to waste hours writing cold messages, rewriting follow-ups, or thinking of ways to re-engage dead leads.

Now?

I use AI — but not in the generic "ask ChatGPT for help" kind of way.

I built a Lead Gen Prompt Library with 15+ proven prompts that are actually designed for sales professionals.


What it does:

✅ Generates high-converting cold emails

✅ Writes personalized follow-ups in seconds

✅ Handles objections with pre-trained responses

✅ Scores leads based on input data

✅ Helps with reactivating past contacts


Basically, it took all the repetitive stuff off my plate — and gave me better results.


🔗 I made the prompt library free to download here → <https://bizhack.rs/free-prompt-library-for-lead-generation-professionals/> fill it out and get instant access, no hidden stuff....


Perfect if you:


Work in sales, consulting, or lead gen


Want to get better at AI without spending hours learning prompt engineering


Are tired of generic results and want real, useful outputs


Hope it helps someone! Happy to answer any questions or share how I use it inside my workflow.

k
kaysersoze76Sales professional
Mar 31, 2026
X

I'm running $140K/month selling AI to Fortune 500 companies. All through Claude Code.

I'm running $140K/month selling AI to Fortune 500 companies. All through Claude Code.

No team. No apps. One terminal.


Here's what's inside the Business Brain:


→ The Revenue Architecture — exact folder structure behind a $140K/month operation

→ The Context File — one document that teaches AI your entire business in seconds

→ The Integration Layer — Gmail, Calendar, Airtable, and project management in one CLI

→ The Selective Loading System — AI reads only what's relevant, zero hallucination

→ The Voice Engine — enterprise emails and WhatsApp messages written in your exact tone

→ The Client Intelligence Stack — every deliverable, blocker, and relationship in one place

→ The Sales Framework — ICP scoring, objection handling, and pricing psychology

→ The Runbook Library — 30-minute workflows compressed into single commands

→ The Relationship Layer — auto-loads context on every person before you message them


Before: 14 apps, 3-hour admin mornings, writing the same enterprise email from scratch every time.

After: One terminal. AI already knows the client, the deal, the history, and how I talk.


→ No more Notion, Monday, HubSpot, or switching between 15 apps

→ No more losing context between clients, deals, and relationships

→ No more writing enterprise emails from scratch every time

→ No more 30-minute workflows that should take 3 minutes

→ No more AI that doesn't know your business, your voice, or your clients


Same system I've used to close $300K deals and manage Fortune 500 clients for 18 months.


You're not using AI as a tool.


You're deploying infrastructure that runs your entire business without you.


Like + comment "AI" + repost, and I'll DM it to you.

(must be following)

AM
Aryan MahajanAI entrepreneur
Mar 31, 2026
LinkedIn

The SDR role as we knew it is dead. 💀

The SDR role as we knew it is dead. 💀

Not dying. Dead.


5 years ago, I was spending hours manually researching accounts, writing outreach from scratch, and building prospect lists one by one.


Now? I use AI to do in 20 minutes what used to take me an entire afternoon. And honestly? It’s made me a better seller, not a lazier one.


I’m talking 👇


🔍 Account research that used to take me an hour? Done in minutes.

📊 Intent scoring and prioritisation? AI helps me focus on who actually wants to hear from me.

🗺️ Stakeholder mapping? I walk into every call knowing exactly who’s who.

✍️ Personalised outreach at scale? Written with AI, refined by me, and it actually sounds like me.


And before someone jumps in with “but it’s not authentic” — let me stop you there. 🛑


It’s the opposite.


Because I’m spending less time on the manual busywork, I’m spending MORE time actually understanding my prospects. More time in real conversations. More time being human.


The SDRs who are thriving right now aren’t the ones ignoring AI.

They’re the ones using it to become the most prepared person in every room. 💡


The bar has shifted. Permanently.


If you’re still doing everything manually and calling it “hustle” — I say this with love — you’re falling behind. 🫶


Now I want to hear from YOU 👇


What’s your best AI hack that’s made you more productive in your role?


Don’t gatekeep. Drop it in the comments. Let’s build the ultimate list together. 🚀

AK
Abigail KabirouSales Development Representative at Deel
Mar 20, 2026
LinkedIn

Here’s every way I currently use AI in sales:

Here’s every way I currently use AI in sales:

- Find “lookalike” accounts for deals we’ve recently won so I can prospect best-fit accounts (thank you Kyle Asay)


- Find the best exec-level problems to hypothesize in my cold outreach and discovery (thank you Jen Allen-Knuth)


- Draft my cold emails within extremely specific guidance and a messaging matrix - I always edit before sending (thank you Jason Bay)


- Consolidate prior convos into high-level problem statements to recap at top of calls (thank you Nick Cegelski)


- Build one-page business cases (thank you Nate Nasralla)


That’s it. There is a lot of manual work involved still. AI produces almost nothing that is customer-ready on the first go.


I’m not anti-AI


But I am anti-always-talking-about-ai-every-second-of-every-day

AM
Alex MurphySr. AE @ 30 Minutes to President's Club
Mar 19, 2026
LinkedIn

Something I’m seeing a lot in B2B sales right now:

Something I’m seeing a lot in B2B sales right now:

1. Replacing discovery calls with AI

2. Replacing follow ups with AI

3. Replacing negotiations with AI


AI research is incredible. I use it before every single call.


AI outreach is decent. It can draft, personalize, and scale.


AI closing deals? That’s a fantasy.


I’ve closed $500M+ in B2B deals. Not one of them closed because of a perfectly optimized sequence. Every single one closed because a human earned trust in a room, on a call, or across a table.


The biggest deals still require reading a CFO’s hesitation. Knowing when to push. Knowing when to pause. Knowing when the real objection is three layers beneath the one they said out loud.


AI can’t do that. Not yet. Maybe not ever.


My advice:


Use AI to sharpen your edge.

Not to replace your handshake.


The sellers who win in 2026 aren’t the ones automating everything.


They’re the ones who walk into every room over prepared because of AI, then close the deal because of who they are.


Tools change. Trust doesn’t.


The rep who knows more AND cares more will always beat the one who just clicks send.


Be that rep.

EG
Edward GorbisPrincipal, Sales Lead - Gen AI, BI, Data at AWS
Mar 12, 2026
LinkedIn

10 ways I use Claude for sales

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.

SN
Sabir NaghiyevFounder at Chrysales
Mar 10, 2026
LinkedIn

People have been using Codex wrong.

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.

UB
Ugo BalducciFounding Engineer at 14.ai
Mar 6, 2026
X

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

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.


🤯🤯

P
PepeMoonBoyB2B tech sales rep
Mar 5, 2026