Samuel Schmitt

How to publish 30 LinkedIn posts / month without burning out (insane new MCP workflow) BACKGROUND: → Consistent LinkedIn posting is the best way to build a business in 2025 → Most successful creators post 20-30 times per month → I've posted since 2023, and I've written every single post ISSUES: → It's mentally exhausting → You stare at a blank page for hours, dealing with writer's block → You can batch content but it takes forever to research what works SOLUTION: → There's a system using Airtable MCP + Claude Desktop + Wispr AI → It's designed to eliminate the hardest parts of content creation → But most people don't know how these tools can work together Here's the setup: Part 1: Airtable Database → Load it with high-performing content from creators you admire → Categorize by content type with hook templates → Include all your past posts with performance data Part 2: Claude Desktop with Airtable MCP Server → Claude can now tap directly into your database → Ask: "Show me hooks for the 5 best 'Steal My Process' posts" → Or: "Give me links to top 7 cheat sheet style posts" → You instantly have 50-60% of your work done Part 3: Wispr AI → Talk to Claude instead of typing → Give it the example post and hook template → Talk through your original thoughts and adaptations → Get a solid first draft without writer's block → Then use your human brain to edit it to your standard Now you have a robust system: Organized database + AI that accesses it + voice-to-text workflow. (PS. I figured this out ~2 weeks ago and thought about keeping it quiet. But I honestly believe most people won't spend the time building it. So, here you go.)

59

27 Kommentare

We’ve been generating 20 outbound leads every single week for a B2B SaaS company. Here’s exactly how: 1️⃣ Target Account List Created an ICP Model including all personas & segments: → Used DiscoLike to find lookalike companies → Scraped competitor’s followers on LI → Curated a list of VC-backed companies with GetLatka 2️⃣ AI Qualification We imported CSVs to Clay for AI Qualification based on: → Industry → Location → Funding stage → CRM they’re using 3️⃣ Data Enrichment Gathered all important data points and eliminated manual research: → Created a prompt with Claygent + GPT 4o mini → Found ICP companies of each account on the target list → Created personalized snippets for our messaging 4️⃣ Contact Sourcing Found relevant contacts with Clay from each account: → Filtered based on department and job title → Cleaned first names with GPT and formulas → Found & validated their emails using Findymail → Found phone numbers using BetterContact 5️⃣ Contact Tiering Segmentation was arguably the most important thing here: → Tier 1: Champions/Users (Managers: Ops & Growth) → Tier 2: Decision Makers (C-Suite: Sales & Growth) → Split into groups based on whether they’re following the main competitor 6️⃣ Multi-channel Outreach We used a combination of email & LinkedIn outreach: → Created different copy for each of the segments → Pushed all data to Instantly.ai for email outreach → HeyReach.io as the LinkedIn sequencer Result: ↳ Email: 8-10 leads per week ↳ LinkedIn: 9-12 leads per week TL;DR: Outbound still works. My biggest takeaway: Segmentation is much more important than AI personalization. PS: Anything you’d add to make it better?

101

31 Kommentare

A stupidly simple (and extremely powerful) ICP-fit AI flow Most teams overcomplicate ICP validation. You don’t need a dashboard. You need a yes/no. Here’s the flow we use to turn any website into FIT / NOT FIT in seconds. – WHY THIS MATTERS – → If you already check ICP fit now: this saves ~10 hours/week you currently burn on manual research. → If you don’t check ICP fit now: it makes your outreach way more relevant and typically 2× your reply rate. – THE FLOW – STEP 1: Feed the agent a website URL (or a column of URLs). STEP 2: Agent scrapes the site + does light web research ↳ MCP tools like Firecrawl, Exa, Jina (any equivalents work). STEP 3: It extracts the signals you care about ↳ product category, ICP geo/size, tech stack, hiring, use cases. STEP 4: Runs a single validation prompt against your ICP rules. ↳ Returns a structured output only: FIT or NOT FIT (+ why). STEP 5: Auto-sync results to Clay/CRM ↳ Only FIT accounts move to enrichment & sequence. – WHAT YOU GET – → Clarity: a binary decision you can trust. → Speed: lists go from “raw” to “ready” before your first coffee. → Lift: more relevance → more replies → more pipeline. Want the exact prompt, validation rubric, and a plug-and-play workflow? Comment FLOW and I’ll send you the setup. Follow me for more GTM engineering plays that actually move revenue.

36

33 Kommentare

According to iBusiness, 84% of the top 100 SEO agencies in Germany offer GEO services. For 30% GEO is already a top focus area. For 7% GEO is the number 1 priority!

59

20 Kommentare

How to track your website traffic for free. (Including visits from ChatGPT and other AI tools.) Website traffic data isn't just numbers ↳ It shows what’s working. ↳ It reveals new opportunities. ↳ And it tells you where you’re losing potential customers. But the problem is: → Most analytics tools only show part of the story → Updates take 24 to 48 hours → Referral sources are vague → AI-driven visits from tools like ChatGPT, Perplexity, and Gemini? Invisible Without this visibility: → You can’t see which content is trending right now → You don't know when AI search recommends your pages → You have no clear way to measure what’s actually converting Ahrefs Web Analytics fills that gap. → Real-time visitor data → AI search traffic tracking → Conversion insights in one simple dashboard And yes, it’s free. Here’s how to set it up: Step 1: Install Ahrefs Web Analytics → Add the JavaScript snippet to your site’s header → or use Google Tag Manager → Verify installation to start collecting data instantly Step 2: Monitor Visitors in Real Time → See visitors browsing patterns live → No more 48-hour delays Step 3: Track AI Traffic → See visits from ChatGPT, Perplexity, Gemini, and more → Discover which pages AI is recommending in search results Step 4: Analyze Visitor Behavior → Follow user journeys and track conversions → Spot drop-off points, measure ad performance, and track outbound clicks Step 5: Stay Free Until You Scale → Monitor up to 1M monthly events at no cost → Add unlimited verified sites under the free plan Get the full picture, in real time. 📌 Try Ahrefs Analytics today (it’s free): https://bit.ly/4orROYJ 🔄 Repost to help others with SEO P.S. This post is in partnership with Ahrefs, #partnership #sponsorship #SEO #WebsiteAnalytics #WebsiteTraffic #MarketingTools #AhrefsPartner #SponsoredByAhrefs

777

336 Kommentare

Pretty shocking developments in paid search for B2B: • Advertising on Google became 29% more expensive in one year (29% CPC increase for non-branded keywords) • People click 26% less on Google search ads compared to a year ago (CTR decreased by 26 % - probably because AI results push paid results down) Nevertheless, B2B businesses are still spending 44% (!) of their budget on Google Search Ads. Meanwhile, ChatGPT is building its advertising functionality: in 2026 free users are expected to see search ads. Currently ChatGPT is hiring a paid marketing platform engineer to build this functionality. TL;DR:  Marketers are paying more for less on Google, while the next ad platform is being built under their noses. *Data by Dreamdata

449

97 Kommentare

How to segment leads correctly in HubSpot (steal this framework) Over the past 10 years, I've helped companies fix messy HubSpot databases. I use these same 5 segmentation strategies every time: 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 #𝟭: 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗟𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲 𝗦𝘁𝗮𝗴𝗲𝘀 Clearly define your lifecycle stage criteria. For example, an MQL is someone who converted on a form submission + is from a target account. Set up workflows in HubSpot to automatically move contacts forward based on their engagement and/or lead scoring. This simple strategy ensures your sales team gets only leads who are genuinely ready to talk. 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 #𝟮: 𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗲 𝗟𝗲𝗮𝗱 𝗦𝘁𝗮𝘁𝘂𝘀 𝗘𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗹𝘆 Customize HubSpot's Lead Status options to fit your sales process (e.g., New, Attempted Contact, Connected). Automate status changes with workflows (e.g., auto-update status to "Connected" once a meeting is booked). Use filtered views so your sales reps always know who needs follow-up first. Quick note: Don't lump all SQLs together without statuses. That’s a common mistake. Tracking Lead Status separately works way better. 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 #𝟯: 𝗔𝗹𝗶𝗴𝗻 𝗟𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲 𝗦𝘁𝗮𝗴𝗲𝘀 𝘄𝗶𝘁𝗵 𝗕𝘂𝘆𝗲𝗿 𝗥𝗼𝗹𝗲𝘀 Always inform sales about the buyer's role (Decision-Maker, Influencer, etc.) before handing off leads. Always tag buyer roles (Decision-Maker, Champion, Influencer, Budget Holder) in HubSpot by using the contact's job title. 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 #𝟰: 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗡𝗼𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 Set instant notifications in HubSpot whenever a contact becomes an MQL or SQL. Automatically assign follow-up tasks if an SQL hasn't been contacted within 24 hours. Notify teams when deals move forward (e.g., from Opportunity to Negotiation). Do these 3 things, and your sales and marketing teams will be more aligned. 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 #𝟱: 𝗚𝗼 𝗯𝗲𝘆𝗼𝗻𝗱 𝗯𝗮𝘀𝗶𝗰 𝘀𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 Personalize your website with smart content. Run targeted ads using segmented contanct and company lists. Sync HubSpot lists to LinkedIn or Google Ads.

27

3 Kommentare