New video is live, and this one is a build. SEO Office is a local-first AI SEO operating system. A 3D office where 25 AI agents run your whole SEO stack in parallel: audits, keyword research, technical SEO, schema, content briefs, topic clusters. Runs on your machine with your own keys. Every client gets an Obsidian second brain on disk. Watch the full demo: https://www.youtube.com/watch?v=8ef8giRuHFw Repo: https://github.com/AgriciDaniel/seo-os In the comments: what is the first thing you would point 25 SEO agents at? And what broke last time you tried to automate SEO?

I use AI mostly before writing anything, to reverse-engineer the competition and find the gaps. I run the whole thing with Claude Code as the orchestrator, one agent that does the research, scraping and analysis end to end. Here's the flow so you can copy it: 1. Map the competitors with an LLM + web search. I give Claude my niche and a few seed keywords and have it pull the top ~7 ranking sites, with a structured output for each: what they cover, estimated traffic, the keywords they rank for, and most importantly their weaknesses. I run the research with web search and light scraping (Chrome DevTools MCP works well), no paid SEO tool needed. You can plug in Ahrefs or SEMrush if you want hard volume numbers, but the AI estimates are enough to find the gaps. 2. Force structured output. I make the model return a clean table: competitor -> traffic -> top keywords -> weakness -> exploitable gap. This is the key step. It turns a vague "research the competition" into something you can actually act on. 3. Build the keyword-gap map. Then I have it cluster all those keywords and flag the high-intent sub-topics the big players cover thin or skip entirely. The pattern is almost always the same: the million-visit sites have volume but no depth on the specific niche. That's your opening. 4. Prioritize and plan for the gaps. Sort by intent and how underserved they are, then have the LLM draft the content plan (titles, structure, internal links) for the long-tail they ignore. 5. Don't skip technical hygiene. AI content is useless if Google can't crawl you. Search Console, sitemap, robots.txt, indexing first. Learned that one the hard way. The whole pipeline runs from Claude Code: it drives the web search, the scraping via MCP, and the structured analysis from one place. That's it. How about you? Leaning on AI more for keyword research, content, technical SEO, link building? Drop your workflow, always looking to steal good approaches.

u guys seo?

Free, open-source YouTube Brain. It's a second brain an AI agent reads, then it pulls my real YouTube numbers and builds my growth plan for me. Views, watch time, subs, revenue, CTR, demographics, longs vs shorts, even a 20K subscriber sprint. It's free. Download it, run it, build your own. Watch: https://www.youtube.com/watch?v=-79UPXDQ1KI Grab the repo: https://github.com/AgriciDaniel/youtuber Drop a star if it helps you and tell me what you'd add. Let's make this brain unstoppable.

1. Chrome Web Store: https://chromewebstore.google.com 2. Forbes: https://www.forbes.com 3. GitHub Pages: https://pages.github.com 4. TrustRadius: https://www.trustradius.com 5. AlternativeTo: https://alternativeto.net 6. SourceForge: https://sourceforge.net 7. Gumroad: https://gumroad.com 8. Substack: https://substack.com 9. Indie Page: https://indiepa.ge 10. Privacy Tools: https://www.privacytools.io 11. OSS Gallery: https://oss.gallery 12. Yelp: https://www.yelp.com 13. Alternative Me: https://alternative.me 14. SaaSHub: https://www.saashub.com 15. HubPages: https://hubpages.com 16. YourStory: https://yourstory.com 17. Medium: https://medium.com 18. TrustMRR: https://trustmrr.com 19. Crunchbase: https://www.crunchbase.com 20. SEO Wins: https://seowins.com 21. GitHub: https://github.com 22. Imgur: https://imgur.com 23. Pinterest: https://www.pinterest.com 24. Flickr: https://www.flickr.com 25. Pixabay: https://pixabay.com 26. Pexels: https://www.pexels.com 27. Reddit: https://www.reddit.com 28. Quora: https://www.quora.com 29. Goodreads: https://www.goodreads.com 30. Tiny Startups: https://www.tinystartups.com 31. Hackernoon: https://hackernoon.com 32. TinyLaunch: https://www.tinylaun.ch