The Rank Loop Engine: AI SEO That Documents Your Work and Ranks It AutomaticallyThe script explains a “rank loop engine” for building and scaling SEO websites by automatically documenting real work as first-party case studies and turning it into ranking pages with minimal ongoing effort. The system uses an Agent Operating System to capture work and context (logged into an Obsidian “memory” system), publishes pages automatically to sites (e.g., via Netlify or WordPress API), submits new URLs for fast indexing with Indexceptional, and then pulls Google Search Console data to find new keywords (especially impressions with low or zero clicks) to generate the next round of content. Examples include Goldie Bench and Agent OS Guides, including auto-generated comparison (“versus”) pages based on real test data. The five-stage loop is: work, document, ship, index, and listen, enabling multiple sites to run in parallel without manual keyword tools or repetitive SEO tasks.00:00 Rank Loop Overview01:09 Case Study Sites03:43 Why Loops Beat Manual SEO06:46 Keyword Loop Demo10:16 Proof From Members11:30 Five Stage Engine12:45 Old Way vs New Way14:54 AI Content Objections15:47 Layers Breakdown19:41 Scaling Across Sites21:16 FAQs And Testimonials22:54 Recap And Next Steps24:09 Offers And Closing

Automate Your SEO: Real-Time Keyword Research & Content Tool

Discover a new AI-powered system that uses your own Google Search Console data to identify high-potential keyword gaps. Learn how to automate the entire process—from research to one-click deployment and instant indexing—for faster SEO results.

00:00 - Intro: A New Way to Do SEO

01:16 - Connecting Google Search Console

02:54 - Adding Case Studies for Rankings

03:35 - Auto-Deploying & Indexing Content

05:07 - Ranking in Google AI Overviews

06:31 - Search Console Engine vs. Traditional Tools

09:50 - The 5-Step Automation Framework

13:12 - Setting Up the Agent Operating System

AI SEO System: Auto-Generate & Deploy Content That Ranks (Websites, Reddit, Videos + Backlinks)The script explains an AI-driven SEO system the creator uses to grow multiple sites from near-zero traffic to hundreds of daily clicks by generating and deploying unique content with tools like Claude, Hermes, APIs, and Netlify. It argues Google is increasingly surfacing AI answers via AI Overviews and AI Mode, and emphasizes “ranking everywhere” people search—including Google, Twitter, Reddit, and videos—using the same workflow. The creator highlights the importance of authority via backlinks and differentiates simple AI content from personalized content with “information gain” pulled from a logged memory system. They demo an Agent OS that can generate multiple articles, auto-publish to sites, repurpose posts for platforms like Reddit and LinkedIn, and create videos with a single prompt, plus a loop-engineering quality-control judge that iterates until content is publish-ready. The script promotes access to these systems via the AI Profit Boardroom and offers one-to-one SEO strategy sessions at goldie.agency.00:00 AI SEO Wins00:37 Google Loves AI Answers01:38 Rank Everywhere Strategy02:36 Reddit SEO Case Study03:14 Authority And Backlinks04:32 Agent OS Auto Publishing05:27 Memory Driven Content06:28 Repurpose For Social Posts07:15 Works For Any Business08:18 Video Agent For Rankings10:03 AI Beats Manual Writing11:24 Document Your Experiments13:33 Install The SEO Pipeline14:24 Looped Quality Control15:11 More Sites And Frameworks15:46 Join The Profit Boardroom16:01 Community Builds Upgrades16:57 Support And Coaching Options18:03 Final Wrap Up

Self-Improving SEO Engine: Loop Engineering with AI Agents That Write, Judge & PublishThe script explains “loop engineering” for AI SEO, where a builder agent writes content and a separate judge agent grades it out of 100, lists flaws, and forces revisions until a passing score (e.g., 90%+) is reached, then the content publishes automatically. The speaker shares results showing a site growing to about 222 clicks per day and ranking #1 in Google AI Overviews for “best AI community,” arguing the key is removing the human from repetitive review so “the machine becomes the loop.” It demonstrates setting a definition of done, choosing builder/judge models (including free or cheap options), setting iteration limits, and running the loop inside an Agent OS. A second method scales the same idea via Hermes Kanban boards with multiple agent roles and a judge gate before “done,” with logs saved to shared memory.00:00 Self Improving SEO Engine01:03 Proof It Ranks02:15 Loop Setup Walkthrough03:07 Judging Models And Rounds04:10 Scoring And Iteration04:52 Beyond SEO Video Loops06:38 Method One Quick Loop07:55 Method Two Kanban Team09:31 Five Part Framework10:37 Memory Logs And Costs11:24 Offer And Objections12:54 Wrap Up And Next Steps

Rank #1 Everywhere in 2026: The SEO Everywhere Engine (Hermes Agent + GLM 5.2)The script explains how to rank number one using the “SEO Everywhere Engine,” a system built with Hermes Agent and GLM 5.2 that uses teams of AI agents to generate and quality-control content. The speaker shows examples of websites and keywords ranking multiple times, including blog posts, videos, and posts on platforms like Reddit and LinkedIn, arguing that in 2026 one Google blog post is no longer enough because people search via Google, ChatGPT, Perplexity, and video. The setup uses a relay of agents (keyword generator, blog writer, editor, judge, video director, video builder) that iterates until content is good enough, then publishes across surfaces. GLM 5.2 is highlighted as benchmark-competitive and cheaper, with results shown via growing click trajectories on example sites. The video ends with calls to book a free SEO strategy session and join the AI Profit Boardroom for the agent operating system, courses, and coaching.00:00 Ranking Everywhere Intro00:49 Proof of Rankings01:52 Setup Hermes With GLM02:33 Meet the Agent Team03:59 Why Everywhere Matters05:30 Relay Workflow Explained06:15 GLM 5.2 Benchmarks06:53 Traffic Results Case Studies07:51 Free Strategy Session Offer08:29 More GLM 5.2 Builds09:14 Old SEO vs New10:14 Handling Common Objections12:02 Wrap Up and Next Steps

Rank #1 on Google with Claude + Hermes Agent OS (The 3-Gear AI SEO Rank Machine)This episode explains how one person can run SEO across six websites using a “rank machine” built on Claude and Hermes Agent OS, claiming 122,000 Google impressions and 4,300 clicks in nine days from Google Search Console. The system is described as one machine with three gears: finding winnable keywords using your own Search Console data and business notes stored in Obsidian, producing unique content (blog posts plus matching videos) with a crew of agents working on a shared Kanban board, and generating backlinks via a personalized outreach agent that finds contacts, writes emails using your notes, and sends them from your inbox. All agents share the same Obsidian-based “memory galaxy,” so keywords, content, and outreach stay aligned to your business and improve over time. The script also promotes AI Profit Ballroom, a free SEO course, and a one-to-one strategy session.00:00 AI SEO Results Proof01:00 Rank Machine Overview01:28 Claude and Hermes Brain02:13 Gear One Keywords03:40 Obsidian Memory Galaxy04:50 Gear Two Content Crew05:59 Deploy Content at Scale07:51 Avoid Generic AI Content08:23 Gear Three Backlink Agent10:04 One Shared Brain Secret10:39 SEO Still Works Today11:21 Courses and Next Steps11:57 Get the Full System12:59 Final Recap and Outro

GLM 5.2 + Hermes Agents: Build Ranking Websites & Videos in 30 Minutes (No Coding)The script explains why GLM 5.2, released by Zed AI on June 13, is powerful for AI SEO due to its million-token context window and suitability for agentic tasks, and shows it being plugged into Hermes Agent to create teams of AI workers. The speaker demonstrates building a fast-loading, professional website with multiple pages and blog posts in about 30 minutes using agents like a researcher, writer, SEO optimizer, and a “judge” that iterates until quality improves, aiming to rank on Google and generate leads without ads. It also describes producing an AI-avatar video end-to-end (script, voiceover, look, editing) that can rank in search results, compares GLM’s flat $18/month coding plan approach to using Claude via API, highlights swapping models as new ones release, and promotes a free SEO course, strategy sessions, and the AI Profit Builder system and community.00:00 GLM 5.2 Demo Promise00:10 Model Drop Overview00:29 Plug Into Hermes Agents01:14 Website Built To Rank01:36 No Coding Needed02:38 Meet The Agent Crew03:33 Website Walkthrough04:36 SEO Proof And Case Studies05:30 Agent OS And Video SEO06:43 Claude Comparison Pricing07:18 Swap Models Stay Ahead08:31 Kanban Auto Assignment09:14 Open Source And Urgency09:43 How To Start Today10:44 Get The Full System11:20 Wrap Up

Rank #1 with AI SEO: Hermes Agent Auto-Creates, Edits & Judges Avatar Videos in One PromptThe presenter demonstrates how Hermes Agent can generate fully edited AI avatar videos from a single prompt for AI SEO, showing three examples created with Hermes plus KimiK 2.7 (including scripts, edits, camera moves, and avatar voice/face) without manual work. They explain that targeting a keyword with these videos can help rank in Google, including AI Overview/AI Mode, and show proof of rankings. The workflow uses an agent “team” (writer, editor, judge, and KimiK 2.7) managed in a Kanban board, where a judge agent scores outputs and forces iterations until quality is high; music is created via Suno API, and video creation/editing is handled with HeyGen CLI integrated into the agent system. The episode ends by offering the full setup, tutorials, and files in the AI Profit Boardroom.00:00 AI SEO Video Breakthrough00:34 Prompt Made Video Demo01:43 Second Video Preview02:12 Music and Editing Stack02:31 Ranking Proof on Google03:08 Third Video and Judge Loop03:49 Kanban Agent Workflow04:34 Tools Behind the Scenes05:32 Results and Use Cases07:51 Setup Profiles in Hermes08:24 Recap and Next Steps08:58 Get the Agent OS09:50 Final Thanks

Claude AI SEO System: Automate Keyword Research + Deploy 5 Articles Using Search Console DataThe video explains a Claude-based AI SEO system called the Goldie Demand Engine that connects a Google Workspace API to Google Search Console to analyze a portfolio of sites, identify top-performing keywords by website, and surface the best ranking and re-optimization opportunities based on real impressions and clicks. It shows how the workflow avoids manual keyword digging and replaces generic tools by using each site’s own Search Console data, then feeds recommended keywords into an Agent OS content pipeline where you add a relevant first-person case study, generate five articles, and automatically deploy them (including internal links) without logging into WordPress. The process is managed through an AI-powered Kanban and a dashboard running multiple agents, with examples of traffic growth and the ability to rank multiple times per keyword across sites, plus links to the AI Profit Boardroom system and SEO resources.00:00 Goldie Demand Engine00:44 Keyword Dashboard Insights01:14 SEO Proof Growth02:02 Connect Search Console02:42 Generate And Deploy03:28 Add Case Studies05:09 Rank Multiple Sites06:29 Kanban Agent Workflow07:57 Why Data Beats Tools10:23 Five Articles Pipeline11:15 Get The System11:33 Free Course And Support12:07 Strategy Session Offer12:36 Final Thanks

AI SEO with Claude Fable 5: Rank in Google + AI Mode Using an Automated SEO PipelineThe video shows how the creator uses the new Claude Fable 5 model to run an AI SEO workflow that ranks in Google Search, Google AI Overview/AI Mode, and other AI search engines, sharing examples where aiprofitboardroom.com ranks #1 for a target query and appears multiple times on page one. They explain Claude Fable 5’s advantages (95% SWE-bench verified, 1M-token context, long-horizon autonomy) and demonstrate an SEO pipeline that finds low-competition keywords via an “Oracle” group chat with agents, embeds real case studies from an Obsidian memory system, generates full pages (titles, schema, meta, internal links, CTAs), and deploys across multiple sites, with indexing support via Indexceptional. The episode contrasts this with the old Ahrefs/manual approach and directs viewers to a free SEO course, a free strategy session at goldie.agency, and the AI Profit Boardroom system.00:00 AI SEO With Claude 500:33 Proof Of Rankings01:26 Why Claude 5 Wins01:40 SEO Pipeline Overview03:21 One Click Content Output03:50 Keyword Research Agents04:46 Add Case Studies Deploy05:47 Workflow History Memory06:52 Google And Helpful Content07:17 Apex Engine Layers07:50 Low Competition Strategy08:16 Free Course And Session08:48 Old Way Vs New Way09:17 Indexing And Operating System09:54 Recap And Next Steps10:19 Final Call To Action10:54 Thanks For Watching