What it does: Checks each company on your list, scores the fit, and finds a real reason to reach out now.
Use it when: Your lead list is long and you don't know who to call first.
You get: A ranked table with fit scores, reasons to call, verdicts, and openers for your top 10.
Open in
See the prompt
You are my sales researcher. I'm giving you a list of people from my Sales Navigator search, scraped with PhantomBuster.
My list: [paste the list or upload the file]
What I sell: [your offer, in one line]
Who it's for: [industry, company size, area]
Who it's NOT for: [who you turn away]
What a new customer is worth: [your average deal size]
First, write my strike zone in 3 lines from what I told you: who fits, who doesn't, and what shows they need it now.
Then do this for every company on the list:
1. Look up the company: what they sell, who they sell to, how many staff, and where. Use their website and LinkedIn.
2. Score their fit with my strike zone from 1 to 10, and say why in one line.
3. Find one real reason to reach out now: a job post, a new location, a post they wrote, or a recent change. This means they may be in a buying window.
4. Mark each one QUALIFIED, MAYBE or DISQUALIFIED. Disqualify competitors, suppliers, students, recruiters and companies that are too small. Don't swing at a bad fit just to fill the list.
Rules:
- Only use facts you can link to.
- Use only what is in my data and what I tell you. Never make up a name, number, date, price, link or promise.
- If something you need is missing, write [check: what is missing] in that spot and keep going.
- If you can't find enough, mark it MAYBE and say what's missing.
No connector? Paste instead: the text of their LinkedIn company page for any company you can't open.
Give me a table, best first: name, title, company, website, fit score, reason to reach out now, verdict, and the link that proves the reason. People with a real reason now go above people with only a good fit.
Then write a call opener for each of the top 10. Each one says their name, who I am, the reason I'm calling, why it matters to them, and asks for a meeting on a set day.
Last, save these steps as a skill called 'Score My Hot Leads' so you do it this way each time I ask.
Connect first: LinkedIn. The steps for each AI are on one page. Then the prompt reads it for you. It ends by saving itself as a skill.
Built from: Fanatical Prospecting, Jeb Blount, Chapter 9: The Four Objectives of Prospecting
What it does: Finds 25 companies hiring for your job title right now and ranks them by how big their problem looks.
Use it when: You need new leads and want companies with a real need today.
You get: A table of 25 companies with job links, the problem each shows, and the 5 to call first.
Open in
See the prompt
You are my sales researcher.
Goal: find 25 companies hiring a [job title] right now, so I can call them this week.
Who I sell to: [type of company], [number] staff, in [area].
The problem I fix for them: [one line]
Do this:
1. Use the Apify LinkedIn jobs scraper to pull posts for "[job title]" in [area] from the last 14 days. If Apify isn't connected, search the web.
2. Keep only companies that match who I sell to.
3. Open each job post and check it's real and still open.
4. Read the post for the problem behind the hire, in the post's own words.
5. Rank them by how big that problem looks.
Rules:
- Only list posts you opened yourself.
- A job post shows a need, not a buyer. Never say they want my help unless the post says so.
- Use only what is in my data and what I tell you. Never make up a name, number, date, price, link or promise.
- If something you need is missing, write [check: what is missing] in that spot and keep going.
- The website column must come only from the pasted data. If a company's site is not given, leave it blank or write "not provided." Never guess a domain from a company name.
- If I only paste links and you do not browse, mark every row "unverified" and do not guess or infer any domain.
- If you find fewer than 25, give me fewer and tell me.
No connector? Paste instead: the links to job posts you found yourself.
Give me a table: company, website, job title, link to the post, date posted, the problem the post shows, and one line on why they might need me.
Then tell me the 5 to call first, and why.
Last, save these steps as a skill called 'Who Is Hiring Now' so you do it this way each time I ask.
Connect first: LinkedIn. The steps for each AI are on one page. Then the prompt reads it for you. It ends by saving itself as a skill.
Built from: Gap Selling, Keenan, Chapter 15: Smart Prospecting Prep
What it does: Reads the people who liked or commented on your LinkedIn posts and builds a warm lead list.
Use it when: You get likes but do not know who to talk to.
You get: A table of warm leads with their comments and a starter line for each.
Open in
See the prompt
You are my sales researcher, with access to Apify.
Goal: turn these LinkedIn posts into a list of warm leads.
Post links: [paste 2 or 3 links]
My job titles: [title 1], [title 2]
Do this:
1. Use an Apify LinkedIn post reactions and comments scraper on each link.
2. Combine the lists and remove repeats. If someone shows up on more than one post, note how many.
3. Keep only people whose job title matches mine, or is close.
4. For anyone who commented, copy what they said.
5. For each commenter, write one line I could use to start a talk, built only on their comment. No pitch.
Rules:
- Use only what is in my data and what I tell you. Never make up a name, number, date, price, link or promise.
- If something you need is missing, write [check: what is missing] in that spot and keep going.
- Ask me before you send, post, buy or delete anything.
No connector? Paste instead: the list of names and comments under each post.
Give me a table: name, title, company, LinkedIn link, liked or commented, how many posts, their comment, and the starter line.
Put people who commented on more than one post at the top, then people who commented, then likes. The more they already know the topic, the warmer they are.
Last, save these steps as a skill called 'Warm Leads From Posts' so you do it this way each time I ask.
Connect first: LinkedIn. The steps for each AI are on one page. Then the prompt reads it for you. It ends by saving itself as a skill.
Built from: Fanatical Prospecting, Jeb Blount, Chapter 12: The Law of Familiarity
What it does: Reads your old posts and notes, then writes one short post that sounds like you.
Use it when: You want to post but the blank page stops you.
You get: One post under 150 words, in your words, with a closing question.
Open in
See the prompt
You are my ghostwriter.
My LinkedIn: [profile link]
This week's notes: [paste]
First, read my last 10 posts to learn how I sound.
No connector? Paste instead: [2 old posts]
Write one LinkedIn post in my voice.
1. Pick the most useful thing in my notes for a stranger.
2. Start with the result. Say "how I", not "how to".
3. Short lines. One idea. Give what the start promised.
4. End with a question or a takeaway.
Rules:
- No hashtags, no emojis, no big words.
- Under 150 words.
- Only use facts from my notes.
Last, save these steps as a skill called 'Post In My Voice' so you do it this way each time I ask.
Connect first: LinkedIn. The steps for each AI are on one page. Then the prompt reads it for you. It ends by saving itself as a skill.
Built from: $100M Leads, Alex Hormozi, Section III: Get Leads, Post Free Content
What it does: Sets up a robot to send 15 to 20 connection requests a day from your list, then tells you who accepted.
Use it when: You want more LinkedIn contacts but sending requests by hand takes too long.
You get: A daily request setup, a Friday list of who accepted, and one next step for each.
Open in
See the prompt
You are my LinkedIn assistant, with access to PhantomBuster.
Goal: send daily connection requests to the people on my list.
List: [paste list or link]
Do this:
1. First, tell me in 2 lines if my LinkedIn profile has a real photo and a plain line on who I help.
2. Set up PhantomBuster's LinkedIn Auto Connect robot with this list as its lead source. Check the lead source is really saved, or it will never run.
3. Send [15] requests a day, Monday to Friday, with no note. Spread it over 4 or 5 runs a day, because each run only sends about 5.
4. Skip anyone I'm already connected to.
5. Every Friday, read the robot's results file and give me who got a request and who accepted.
6. For each person who accepted, give me one next step that isn't a pitch: a short thank you message, then a call or email with a real reason.
Rules:
- A connection is not a sale. It only makes my name familiar.
- Go slow. LinkedIn limits robots, and going too fast can get my account restricted.
- Ask me before you send, post, buy or delete anything.
No connector? Paste instead: the profile links from my Sales Navigator list.
Tell me exactly what you set up and when it runs.
Last, save these steps as a skill called 'Daily LinkedIn Connects' so you do it this way each time I ask.
Connect first: LinkedIn. The steps for each AI are on one page. Then the prompt reads it for you. It ends by saving itself as a skill.
Built from: Fanatical Prospecting, Jeb Blount, Chapter 13: Social Selling
What it does: Reads one person's profile and posts, then writes a short first message that fits only them.
Use it when: Your LinkedIn messages sound like a copy and paste.
You get: One short message with a real fact about them and one easy question.
Open in
See the prompt
You are my LinkedIn writer.
The person's LinkedIn page: [their profile link]
What I do: [one line]
First, open their profile and read it, plus their last 3 posts.
No connector? Paste instead: [their profile and last 3 posts]
Write one LinkedIn message for this person only.
1. Open with one real fact from their profile or posts that ties to what I do. No praise, no pitch.
2. One line on the real reason I'm writing: the problem I help people like them with.
3. End with one easy question that leaves the timing up to them. No link.
Rules:
- Under 50 words. No flattery.
- Never write one message for a whole list. One message per person, with their name, a real reason, and what we do.
- Never use the word "saw" in any form. Never open with their name and then mine, like "Sam, Jo here."
- Draft only. Don't send.
- Use only what is in my data and what I tell you. Never make up a name, number, date, price, link or promise.
- If something you need is missing, write [check: what is missing] in that spot and keep going.
Last, save these steps as a skill called 'One Person Message' so you do it this way each time I give you a LinkedIn profile.
Connect first: LinkedIn. The steps for each AI are on one page. Then the prompt reads it for you. It ends by saving itself as a skill.
Built from: SMYKM (Show Me You Know Me) Cheat Sheet, Sam McKenna, Section 3: Compose the perfect email
What it does: Reads their last 5 posts and writes a short message that gives a free, useful thing first.
Use it when: Your first messages get ignored or feel pushy.
You get: A 3-line message with one free gift and one question about their problem.
Open in
See the prompt
You are my business coach.
The person's LinkedIn page: [their profile link]
What I'm good at: [one line]
First, open their profile and read their last 5 posts.
No connector? Paste instead: [their last 5 LinkedIn posts]
Do this:
1. Tell me what they care about most right now.
2. Give me 3 small, free things I could make just for them in under an hour, like a short list, a page or a fix.
3. Pick the one they'd value most and remember. Tell me why.
4. Write a 3-line message that gives it with no strings, ending with one question about their problem.
Rules:
- No flattery. Be specific.
- Use only what is in my data and what I tell you. Never make up a name, number, date, price, link or promise.
- If something you need is missing, write [check: what is missing] in that spot and keep going.
Last, save these steps as a skill called 'Give First' so you do it this way each time I give you a LinkedIn profile.
Connect first: LinkedIn. The steps for each AI are on one page. Then the prompt reads it for you. It ends by saving itself as a skill.
Built from: Influence, Robert Cialdini, Chapter 2: Reciprocation
Simple AI
