Agency owner spent $8,400/month on writers. I showed him a $99 solution. He kept his prices, fired nobody, just added 9 clients. Here's what went down: THE SITUATION Agency owner: "I need more writers" Me: "Why?" Owner: "We have 6 clients waiting but I'm maxed out" Me: "How many writers now?" Owner: "Four. Costs $8,400/month total" THE BOTTLENECK Each writer: 30 articles monthly Four writers: 120 articles total Current clients: 4 Articles needed: 120 Capacity: Zero Owner: "If I hire two more writers, my margin drops to 15%" Me: "What if you didn't hire anyone?" THE DEMO Opened Contentbase.ai Me: "Pick a waiting client" Owner: "Home services company in Phoenix" Setup live: - Website URL - 6 competitors - GSC connected - Started 2 minutes later: Keyword research done 3 minutes later: Content calendar built 5 minutes later: Article #1 generating Owner: "That's it?" Me: "It'll write all 30 this month" Owner: "Quality?" Showed him samples. Owner: "Better than my junior writers" THE MATH Old capacity: - 4 writers - 120 articles/month - Cost: $8,400 - Serves: 4 clients max New capacity: - 4 writers (keeping them) - System handles 13 clients - Writer cost: $8,400 - System cost: $1,287 (13 × $99) - Serves: 17 clients total Owner: "I can keep my team?" Me: "And add 13 clients" THE DECISION He didn't fire anyone. Repositioned instead: - Writers moved to editing/customization - System produces first drafts - Writers add brand voice polish - Quality went up Signed 9 of the 6 waiting clients. Three more since then. THE RESULTS (60 DAYS) Clients: 4 → 13 Revenue: $42,000 → $136,500/month Team: Same 4 writers (happier roles) Writer cost: $8,400/month (unchanged) System cost: $1,287/month Margin: 24% → 73% Owner's text yesterday: "My writers are actually enjoying work again. No more content factory grind. And we just signed client #14." THE UNEXPECTED WIN Writers didn't leave. They got better roles: - Strategic editing vs grinding articles - Brand voice development

With all the talk about real-time AI engines favoring fresh content, I’m wondering how others schedule updates. Are you refreshing routinely, only when performance drops, or just when you have something new to add?

Found Perry secret agency plan - read it on the plane home from a podcast yesterday - sold my first $1000 AEO audit today!

Came across a helpful guide suggesting practical steps for entrepreneurs to increase their content's visibility with Large Language Models (LLMs) and AI search results. The source recommends running an "LLM visibility sprint" on existing, high-value pages rather than always starting from scratch. Here are a few interesting takeaways mentioned in the source for making your content AI-friendly: * Focus on Answers: Revamp your content by leading with a brief summary (TL;DR) and adding clear FAQs, comparisons, and tables. The key is to provide structured answers to potential questions. * Build Trust: Ensure your pages include "trust signals" like fresh dates, author bios, citations, and proof, as this helps LLMs (and users) determine credibility. * Use Structure: Organize content with clean headings, scannable lists, and schema markup (structured data) to make it easier for LLMs to understand and use. * Test as a Buyer: The source suggests testing your pages by asking questions directly in AI tools like ChatGPT or Claude. If your page doesn't appear in the answers, you should fix the content and re-test. Source: https://www.linkedin.com/posts/stephtrovato_heres-the-move-for-the-rest-of-the-year-activity-7374061552930537472-pNQp/

Google has started rolling out the December core update, and it looks like it may take up to three weeks to fully settle. I’m curious, have any of you started noticing changes yet? Positive lifts, drops, volatility, or nothing at all so far? Also, how do you personally approach core updates at this point: - Do you wait it out and avoid making changes? - Do you dig into pages that moved and look for patterns? - Or do you use it as a signal to revisit content quality, intent, or structure more broadly? Given how much search behavior is shifting toward AI and AEO, I’m especially interested in whether this update feels different from earlier ones this year or if it’s more of the same “let it roll out and see” situation. Would love to hear how others are handling it.