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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 [https://www.youtube.com/watch?v=gp2WbyAEins] Self Improving SEO Engine01:03 [https://www.youtube.com/watch?v=gp2WbyAEins&t=63s] Proof It Ranks02:15 [https://www.youtube.com/watch?v=gp2WbyAEins&t=135s] Loop Setup Walkthrough03:07 [https://www.youtube.com/watch?v=gp2WbyAEins&t=187s] Judging Models And Rounds04:10 [https://www.youtube.com/watch?v=gp2WbyAEins&t=250s] Scoring And Iteration04:52 [https://www.youtube.com/watch?v=gp2WbyAEins&t=292s] Beyond SEO Video Loops06:38 [https://www.youtube.com/watch?v=gp2WbyAEins&t=398s] Method One Quick Loop07:55 [https://www.youtube.com/watch?v=gp2WbyAEins&t=475s] Method Two Kanban Team09:31 [https://www.youtube.com/watch?v=gp2WbyAEins&t=571s] Five Part Framework10:37 [https://www.youtube.com/watch?v=gp2WbyAEins&t=637s] Memory Logs And Costs11:24 [https://www.youtube.com/watch?v=gp2WbyAEins&t=684s] Offer And Objections12:54 [https://www.youtube.com/watch?v=gp2WbyAEins&t=774s] Wrap Up And Next Steps
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