20 Years Of SEO Just Ended, Here's Why…
The speaker demonstrates a multi-platform SEO system combining AI tools (Hermes and Claude) to achieve 'omnipresence' across Google, AI search engines, and social platforms. The core argument is that winning AI citations now requires ranking across many surfaces simultaneously rather than optimizing a single page. The system uses an 'Agent Operating System' to automate content creation across blogs, images, videos, and social media at scale.
Summary
The video opens with the speaker demonstrating live ranking results, showing their website appearing in both traditional Google search (positions one and two) and Google's AI mode for the same keywords. They also show recommendations appearing in AI-generated responses, framing this as proof that their 'omnipresence' system works.
The speaker argues that the 20-year-old model of SEO — typing a query and receiving ten blue links — is effectively over. Now, AI systems like Google AI Mode, AI Overviews, ChatGPT, and Perplexity synthesize dozens of sources into a single answer and cite only a handful. The speaker's central claim is that the goal is no longer to rank number one but to become the source the AI quotes — 'winning the citation' rather than winning the click.
To achieve this, the speaker advocates for what they call 'Search Everywhere Optimization' or an 'Omnipresence Engine.' The idea is that AI systems pattern-match for authority by observing how frequently a name or brand appears across multiple surfaces: Reddit threads, LinkedIn posts, blog articles, images, and videos. Appearing on one platform makes you a 'maybe'; appearing across five or more makes you the obvious answer.
The technical implementation revolves around an 'Agent Operating System' (available inside their paid community 'AI Profit Boardroom') that connects tools like Hermes, Claude, Hyperframes (for video generation), NotebookLM (for podcasts), and Netlify (for website deployment). The system uses saved 'skills' and 'workflows' so the user only needs to input a keyword and the agents handle content creation and multi-site deployment automatically. A memory system built on an Obsidian vault stores personal context, case studies, and brand details so generated content remains personalized rather than generic.
The speaker also addresses common objections: that posting everywhere is too time-consuming (countered by agent automation replacing virtual assistants), that one perfect blog post is sufficient (countered by the need for multi-surface presence), and that the system is too technical for non-experts (countered by testimonials from their community). The video closes with a pitch for the AI Profit Boardroom community and a free SEO strategy session via their agency.
Key Insights
- The speaker argues that the fundamental goal of SEO has shifted from ranking number one on Google to becoming the source that AI systems cite in their generated answers — framing 'winning the citation' as categorically different from winning the click.
- The speaker claims that AI search engines determine authority by pattern-matching a name or brand across multiple platforms simultaneously, such that appearing in three articles, a Reddit thread, and a LinkedIn post about the same keyword makes a source the 'obvious answer' compared to appearing on just one website.
- The speaker states they no longer hire virtual assistants — contrasting this with the previous year when they were hiring frequently — attributing the change entirely to replacing human teams with a system of AI agents running inside their Agent Operating System.
- The speaker demonstrates that their Agent Operating System uses a persistent memory vault (built on Obsidian) storing personal context, case studies, and brand details, which is automatically injected into AI-generated content to avoid generic outputs without requiring repeated manual context-setting.
- The speaker contends that Google searches have actually increased rather than declined following the rise of AI, citing a Google IO announcement that more people are searching than ever before, directly contradicting earlier predictions that AI would kill search behavior.
Topics
Transcript
[0:00] Today I'm going to show you how to rank number one inside Google and AI search engines using this powerful system that combines the best of Hermes and Claude to help you rank. So you can see for example if we look at this keyword we are ranking number one and number two for that particular keyword. And you can also see that on the page we are ranking with our website and another website right here. Now, I'm also going to show you, for example, if we check out AI mode inside Google, you can see that we're ranking number one for this keyword, too. And so, we're ranking [0:30] multiple times for that keyword using this system.…
Full transcript available for MurmurCast members
Sign Up to AccessMore from Julian Goldie SEO
NEW Nvidia Autonomous AI is WILD!! 🤯
Nvidia announced Nemo Clo, a new autonomous AI agent system that operates independently without continuous prompting. Powered by Nemotron 3 Ultra (a 550 billion parameter model), the system is five times faster and cheaper than previous versions, with OpenShell providing secure sandboxed execution.
Laguna XS 2.1: New FREE + Opensource Local AI!
Julian reviews Laguna XS 2.1, a new free open-source local AI coding model from Poolside that performs comparably to Qwen 3.6 and outperforms Claude Haiku on benchmarks. He demonstrates its practical capabilities by building landing pages and functional apps, highlighting its speed, offline functionality, and multiple deployment options through local setup, Claude Code, or OpenRouter's free API.
How to Run Hermes FREE Forever!
The video demonstrates how to run the Hermes AI agent for free using Gemma 4, a local open-source model from Google, with significant speed improvements through MLX optimization. The setup works on Apple Silicon Macs or via free APIs on Open Router, enabling autonomous agents to work offline and privately without subscription costs.
This NEW Chinese AI is INSANE! (FREE + Open Source!)
Long Cap 2.0 is a new open-source Chinese AI model from a food delivery app company that offers 1 million tokens of free context memory, beats GPT-4.5 on SWE bench pro benchmarks, and uses efficient parameter activation to reduce computational overhead while maintaining high performance.
Claude Code is now FREE: Here’s how…
Google's new Gemma 4 model running on Ollama is 90% faster on Apple Silicon, enabling free Claude Code usage locally without token costs. The setup requires three simple steps: downloading Ollama, Gemma 4, and installing into Claude Code, with alternatives available via OpenRouter API for non-Mac users.