We handed our entire outbound to Claude. The AI built the list, ran the research and wrote the emails.
The lemlist MCP turned it into a campaign that actually sends: it enriched what Claude found into verified contacts, sequenced the outreach across email, LinkedIn, call and WhatsApp, and ran it on real infrastructure, whether you load one contact into it or hundreds.
Everything here produces one outcome: a meeting with someone who is glad you wrote. The 80/20 sits in how the effort splits. Steps 1 and 2 run wide and cheap, because finding a market and making it reachable is bulk work. Steps 3 to 5 run deep on the few accounts that justify an hour, because that is where the reply is won.
Claude reads and writes. lemlist enriches, sequences and sends. The MCP hands one off to the other with nobody in the middle holding a spreadsheet, which is the only way either of them reaches full strength.
The setup on stage: we sold Quotaflow, commission and quota-plan software, into freight brokers in Chicago, with Vanta as the single account worth real effort.
My company is [paste your company website]. Go and read it, then build my AI context from what you find there. Cover: - What we sell, our positioning and our core offerings, in the words a customer would use - Our value proposition, and the specific pain each part of it removes - Who we serve: segments, company sizes, geographies - Our ICP ranked in tiers, with why each tier buys and where to find them - Our buyer personas: titles, what they own, their KPIs, their personal pains, what kills a deal, and the channel they actually answer on - The buying triggers worth reaching out on, and where to spot each signal - A messaging angle per persona: the tension, the hook, the call to action - How to handle our most likely objections - Our competitors, including where we honestly lose - A cold call talk track: opener, reason for the call, pain probe, proof, ask - A glossary of every term a new rep would have to look up Use our customer stories and any numbers you find on the site as proof, and never invent one. Tell me what you could not find. Then update my AI context with the result.
Create a spreadsheet called "Chicago Logistics List" in my Sales-Intel folder with these columns: Company, What they do, Phone, Contact email, LinkedIn URL, Website. Then open Chrome, go to Google Maps and search "logistics companies Chicago". For every result that is a freight broker, 3PL or forwarder (skip movers, warehouses and parking lots), open the listing, take the company name and phone, click through to the website, write one line on what they do in your own words, take the general contact email from the contact page (leave the cell empty if there is only a form), and copy the LinkedIn company URL from the site footer. Never guess an email or a URL. Fill one row per company. Stop at 15 companies and tell me which fields you could not find.
Here is a list of logistics companies in Chicago. Some emails and linkedin company URLS are missing. Create a company list for this called 'chicago logistics to enrich', then enrich all missing data
Find every freight broker, 3PL or forwarder in Chicago and add them to a company list called 'Sales intel - Freight logistics'. Completely skip movers, warehouses and parking lots. In the company list columns, include the Company, What they do, Phone, generic email, LinkedIn URL, Website. Enrich columns until you get 15 lines with all contact email, linkedin company URL and phone number Now for each of these companies enriched (the 18) find through lemlist the profile of the owner on linkedin and enrich it with an email. Put the results in a contact list called "chicago logistics owners"
We sell Quotaflow, commission and quota-plan software for sales organizations that run several segments (SMB, mid-market, enterprise) on different comp plans. Reps see their earned commission the day a deal closes, and finance stops rebuilding statements in spreadsheets. Here is our website: quotaflow.io. One of my top target accounts is Vanta. Their website is vanta.com. Please research this company and help me understand: - Their top 3-5 business goals and strategic priorities for this year - Recent developments in the last 12 months: funding, acquisitions, leadership changes, product launches, expansion, earnings highlights - Their main competitors and where they are winning or losing in the market - How my company's products and services could support each of their goals directly - Any direct quotes from their executives (CEO, CRO, CFO, CTO) from interviews, press releases, earnings calls, or public statements that reveal how they think about their priorities Cite every source. Be specific. I need to verify everything you share.
Now tell me who are the key executives at Vanta most responsible for driving these priorities. For each leader, I need their role, what they own, and any public statements or actions (interviews, press releases, LinkedIn posts, podcast appearances) that show how they think about their goals. I want to understand who owns what and how they think.
I researched Vanta and found these strategic priorities and key executives. Here is the research: [paste the Perplexity output] Now I need you to go deeper on the people. Use Chrome to browse the LinkedIn profiles of the executives most relevant to what I sell: Stevie Case, Chief Revenue Officer; David Eckstein, Chief Financial Officer; Christina Cacioppo, CEO and co-founder. For each person: - Browse their full LinkedIn profile, not just the summary - Read their recent posts and comments from the last 60 days - Note what topics they engage with and what language they use - Capture any statements that reveal their priorities, frustrations, or goals - Assess their communication style: formal or casual? Data-driven or story-driven? Direct or diplomatic? - Record their LinkedIn URL Save everything as a document called "Vanta - Decision Maker Intel" in my Sales-Intel folder. Include the Perplexity research at the top so everything is in one place.
In the demo team, find company vanta.com Find salesops people I might know at Vanta Right, push Wiktor to a dedicated lemlist campaign Consider that in this cockpit I work for quotaflow.ai, store in a variable why Vanta might be interested by Quotaflow and why now especially. Build a full multichannel sequence using linkedin, email, call and whatsapp
Read the dossier you saved for Vanta in my Sales-Intel folder. I want to reach out to Stevie Case, Chief Revenue Officer. Before writing anything, browse her LinkedIn profile in Chrome one more time. Check for anything she posted or engaged with in the last 7 days that I can reference. Then write me a personalized email that: - Opens with something relevant to her (her role, a recent post, a company development). Not "I hope this finds you well." - Includes at least one direct quote from a public source, with a link to where you found it - Connects what I sell (Quotaflow, commission and quota-plan software for multi-segment sales orgs) to a specific priority she is responsible for delivering - Sounds human. Clear, direct, no jargon. Like a peer reaching out, not a sales robot. - Ends with a soft ask. "Would you be open to a 15-minute call?" Not "Let me show you a demo." Also write a follow-up email for if I don't hear back within a week. In the follow-up, lead with a different angle from the dossier. Save both as "Stevie Case - Outreach" in my Sales-Intel folder.
Create a campaign in which I will be able to put all CROs I have good reasons to contact. This campaign should have placeholders to introduce personalization lines that will be generated everytime I add a new CRO to the campaign; so that it feels very personalized, but stays a system with predictable results. This campaign should include all linkedin, email, whatsapp and call steps. Now, find all relevant information on Stevie Case from Vanta, add all personalization necessary information to add her to the CRO outreach campaign. Remember I work at Quotaflow and use all the AI context you have. Find me someone that has a profile VERY close to Stevie's but in another company; find all relevant details and add them to the same campaign
The chain is only worth building if it ends in meetings, and that is the number everything above gets measured against.
The gain is not volume. It is that each message carries a reason the recipient recognizes, and that when a meeting does land you can trace it back to the signal that triggered it, the prompt that found it and the step that sent it. That is what lets you run the same thing next week on a different market.
The GTM Club
The rest lives in the GTM Club: workflows people actually run, with the prompts, the numbers and the tools named. Same level of detail as this page, every time.
#2 introductions. That is the whole thing.