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How to Win in the GEO-Pocalypse, Singularity is Upon Us (or Maybe Not) and Learn to Use Lovable This Friday

Two-Thirds of ChatGPT's Top Citations Are Content Types You Can't Pitch—But Your Homepage Matters More Than Ever


New research from Ahrefs reveals a critical insight buried in the data: 24% of ChatGPT's top 1,000 citations are homepages and landing pages. The analysis labels these as "dead citations" you can't influence—but that's only half true. When ChatGPT cites a homepage, it's citing YOUR homepage. The real issue? When AI isn't citing your homepage, it's often pulling from Wikipedia (30% of citations), app stores, and other sources where traditional outreach doesn't work. Only 32% of citations point to content types you can actively create or influence through PR and content strategy: educational pages, reviews, news articles, and blog posts. The data also shows ChatGPT heavily favors fresh content (68% from 2025, 43% updated in last 30 days) and surprisingly cites pages with zero organic search visibility 28% of the time.



What Marketers Need to Know Now:


Your homepage is an AI asset now: That beautiful, minimalist homepage with three words and a hero image? ChatGPT can't cite what it can't read. You need richer, more substantive text on your homepage—which means balancing aesthetics, branding, UX, and AI cite-ability. Consider adding clear descriptions of what you do, who you serve, your differentiators, and structured data markup. Your homepage is competing with Wikipedia for AI citations.


Create the 32%, don't chase the other sources: Beyond your own properties, focus energy on educational content, securing reviews, earning press coverage, and publishing authoritative blog posts. These are the citation opportunities where outreach actually works. You can't pitch Wikipedia or control competitor homepages, but you can create cite-worthy content and get mentioned in publications ChatGPT trusts.


Domain authority beats page-level links: 65% of cited pages come from DR 81+ sites, but 67% have weak page-level authority (UR 0-10). Build your overall domain reputation through consistent, high-quality publishing and strategic PR. ChatGPT will cite authoritative domains even when specific pages have few backlinks. It's a long game, but it pays off.


Microsoft's NLWeb Protocol Makes Schema Way Easier to Implement for GEO


Microsoft just launched NLWeb, an open-source framework that transforms websites into queryable knowledge APIs for AI agents and LLMs. Think of it as HTML for the agentic web. It converts your existing schema.org markup into a conversational interface that AI systems can query directly. The protocol crawls your site, extracts JSON-LD structured data, stores it in a vector database for semantic search, and connects it via the Model Context Protocol (MCP) for interoperability across AI systems. This isn't about getting links anymore; it's about your site becoming a direct data source that AI can interrogate programmatically. I have been insisting sites need to implement schema markup for years; now, with GEO, it is essential. 



What Marketers Need to Know Now:


Schema is no longer optional: NLWeb proves that structured data isn't just for rich snippets, it's your entry ticket to the agentic web. If your schema markup is incomplete, inaccurate, or missing entity relationships, AI will store flawed data, leading to hallucinations and poor outputs. Mandate an entity-first schema audit now.


NLWeb beats static solutions: Unlike the proposed llms.txt standard (which major LLMs haven't adopted), NLWeb enables dynamic interaction. AI doesn't just read your site—it queries it. This unlocks transactional AI use cases that static guidance files can't touch.

Technical debt will cost you: Custom in-house solutions for AI ingestion are expensive, slow, and incompatible with emerging standards like MCP. NLWeb addresses protocol complexity, but it can't fix bad data. Invest in robust, interconnected entity relationships across your entire schema implementation to future-proof your discoverability.



Learn to Use Lovable and Build a Working App in 90 Minutes: Join the Vibe-Coding Workshop (November 14)


Stop waiting for developers. Stop paying thousands for custom tools. Stop letting "I don't know how to code" hold you back from building exactly what you need.

Vibe-coding is the skill that changes everything. It's using AI to create functional apps—calculators, trackers, dashboards, whatever you need—just by describing what you want in plain English. No code. No technical degree. Just you, AI, and Lovable.ai working together.

In this 90-minute live workshop on Friday, November 14 at 3:00 PM EST, you'll actually build a working app. Not watch me build one. Not follow a tutorial later. You'll create something functional that solves a real problem—live, with expert guidance, alongside a small group.


Here's what happens:


  • You'll prompt AI to generate functional code

  • Build your own custom app from scratch

  • Test and tweak it in real-time with troubleshooting support

  • Walk away with reusable prompting techniques to keep building


Who needs this:


  • Business owners who need affordable custom tools (not $10k development contracts)

  • Marketers and professionals who want to automate repetitive tasks

  • Entrepreneurs who need to prototype MVPs fast

  • Anyone tired of saying "I wish there was a tool that..."


I've personally built 7 apps using vibe-coding—tools that run my business, track data, automate workflows. This isn't theory. This is hands-on skill-building that you can use immediately. And in this tight economy, being able to build your own solutions instead of buying subscriptions or hiring developers? That's a competitive advantage.

Workshop details:


  • When: Friday, November 14, 2025 | 3:00–4:30 PM EST

  • Where: Live Zoom (24-hour recording access, but live is better for Q&A)

  • Investment: $147

  • What you need: A computer and a free Lovable.ai account (setup instructions sent after registration)


Small group size means you get actual help when you're stuck. This isn't a webinar where you're muted in a room of 500 people. This is intensive, hands-on learning.

Reserve your spot now — spaces are limited and this workshop sells out.


Five Pillars for Getting AI to Mention Your Brand


Large Language Model Optimization (LLMO) is here, and it's not just about traffic anymore—it's about brand visibility in AI-generated responses. AI search visitors convert 4.4x better than traditional organic traffic, and LLM traffic is projected to drive as much business value as traditional search by 2027. But only 22% of marketers are tracking their brand's visibility in AI platforms like ChatGPT, Perplexity, and Claude. The five pillars of LLMO are: information gain (unique insights that can't be found elsewhere), entity optimization (helping AI understand who you are), structured content (hierarchical formatting with lists and tables), clarity with attribution (concise writing with proper citations), and authoritativeness through brand mentions across high-authority sites. Jolissa Skow's article is one of the most useful how-to guides on GEO I have read lately. It is this month's must-read. 



What Marketers Need to Know Now:


Information gain is king: Content with quotes, statistics, and credible sources gets mentioned 30-40% more often in LLMs. Stop regurgitating the same "10 tips" posts. Share proprietary data, original case studies, and contrarian viewpoints backed by evidence. Unique value wins.


Structure beats dense prose: ChatGPT cites content with sequential heading structures (H1>H2>H3) nearly 3x more often. Pages with FAQ sections and lists appear in AI responses 17x more than typical Google results. Use descriptive, question-based headings, comparison tables, and definition lists throughout your content—not just at the end.

Authority requires high-quality mentions: Build your semantic footprint by getting referenced on sites LLMs commonly cite: major publications (TechCrunch, Forbes), Reddit and Quora, government sources, and academic institutions. Unlinked brand mentions still count for LLMO. Focus on becoming a go-to source for journalists through HARO and authentic community participation. Track your progress with tools like Ahrefs Brand Radar or Semrush's AI SEO Toolkit.


Artificial General Intelligence Predictions Accelerate: From 2060 to "Maybe Next Quarter"


A new macro-analysis of 8,590 predictions from scientists and entrepreneurs shows the timeline for achieving artificial general intelligence (AGI) has collapsed dramatically. AGI is point at which AI becomes smarter than humans, also called the Singularity. Before LLMs like ChatGPT emerged, experts predicted AGI around 2060. Current surveys now point to 2040, while entrepreneurs forecast 2030, and Anthropic's CEO believes we could be "on the threshold" within months. The shift is driven by Moore's Law—computing power doubling every 18 months—and the potential of quantum computing to bypass physical limitations. However, skeptics argue that human intelligence is more multifaceted than current AI definitions account for, encompassing eight types of intelligence beyond logical-mathematical reasoning.



What Marketers Need to Know Now:


Don't wait for AGI to prepare: Whether the singularity arrives in three months or three decades, the transformation is already underway. LLMs, multimodal systems, and automation tools are accelerating work across industries right now. Strategic implementation beats futurism every time.


Plan for different AGI timelines: Adopt a scenario-based perspective with 12-18 month plans for practical AI implementations, 2-3 years for extended model capabilities, and 5 years for strategic process automation. 


Build competent teams and do not panic: An overly emotional approach to AI leads to poor investment decisions and budget waste chasing futuristic visions. Focus on gradual digitization, upskilling your team, establishing ethical processes, and compliance with emerging AI regulations. 


Did I Mention We Have a Lovable Workshop on Friday?

Lovable and other no-code tools are among the hottest skills out there. Sign up to learn how to use it on Friday at 3pm:

 
 
 

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