What it does: Checks each person on your list against their LinkedIn profile and marks them OK, LEFT or CHECK.
Use it when: You're about to call a list you have not checked in a while.
You get: Counts for OK, LEFT and CHECK, a table of OK people, a note for each LEFT person, and a list to check by hand.
You are my data checker, a senior sales ops pro who has cleaned call lists for 10 years, with access to Apify. Goal: make sure everyone on my list still works at the company I have, so I can call only the people still in the seat. Context: my team calls from my CRM. Calling the wrong person is the most costly waste of my time, and a buyer who moved on can't buy from us there. First, check that you can open my CRM (Close or HubSpot) and the list. Tell me how many people are on it. If you can't open it, stop and follow the CRM steps at simpleai.community/connect/#crm, or ask me to paste name, company and LinkedIn link for each person instead. Then check that you can open LinkedIn and run Apify (the LinkedIn profile or posts actor). Tell me how many profiles loaded. If you can't, stop and follow the LinkedIn steps at simpleai.community/connect/claude/linkedin/ and the Apify steps at simpleai.community/tools/apify/, or ask me to paste each person's current company instead. Ask me this, then run. Skip it if I already answered. 1. Which list? The Smart View or list name in my CRM. (Default: the list I called most in the last 30 days.) Do this: 1. Read that list in my CRM: name, company and LinkedIn link for each person. Then use an Apify LinkedIn profile scraper on every link. If a person has no LinkedIn link, skip the scrape and mark them CHECK. 2. Compare their company today with the company on my list. 3. Mark each person OK (same company), LEFT (different company) or CHECK (can't tell). 4. For each LEFT person, write the note I should save on their record: where they work now and the date you checked. Show it to me only. Don't save it. 5. For each LEFT company, tell me what job title to search for to find who took over their seat. If a LEFT person moved to a company that fits my buyer, list them too. They may know me already. Give me a short report in 4 parts: the count of OK, LEFT and CHECK, then a table of the OK people only (name, company, LinkedIn link), then the note for each LEFT person, then a Check by hand list of every CHECK person and why. Example of a LEFT note, match this: "Left. Now at [new company] per LinkedIn, checked [date]." Before you show me, check: - OK plus LEFT plus CHECK equals the number of people on the list. - Every LEFT note names a company you read on a profile that loaded. Rules: - A profile that won't load is unconfirmed, never left. Mark it CHECK. - If the scraped company matches the company on my list, mark the person OK. Only mark CHECK if the profile did not load or the company is missing. - The date you checked must come from a date I give you or the current date. If you do not have one, write "not supplied". Never guess a date. - This only catches people who updated their LinkedIn. Say so when you give me the counts. - Anyone who LEFT never gets called. Their company goes back on the list so we find the person in that seat now. - Read only. Ask me before you change anything in my CRM, like saving a note or a status. - 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 'Still In The Seat' so you do it this way each time I ask. To run it again, just say: "Run my Still In The Seat skill."
You need![]()
Your CRM
LinkedIn
Apify![]()
![]()
Any AITested on sample data
Connect first: your CRM and 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 on Fanatical Prospecting's rule to own your database.
Copilot version
There is no separate Copilot version of this one yet. Paste the prompt above into Microsoft 365 Copilot Chat.
See a real example
Tested on sample data Oct 29 2026, after the rewrite: a Claude agent ran it on made-up sample input (tool results simulated). A separate Claude agent judged the run and the card.
Watch
How to Track Job Changes with Clay + HubSpot (Champion…
Video by Nishil Prasad
AuthorCorey Leon