Hermes AI SEO: 0 to 1000+ SEO Traffic a day!
The video demonstrates how to use Hermes AI to automate SEO content creation, going from zero to 1,000+ daily clicks. The presenter shows how to connect Hermes to WordPress or Netlify to autonomously publish daily blog posts on a scheduled basis. The system is self-learning and can handle formatting, internal linking, and deployment without manual intervention.
Summary
The presenter opens by showcasing multiple websites that have successfully grown from zero to over 1,000 daily clicks using an AI SEO process powered by Hermes AI, framing it as a repeatable, proven system. The core appeal of Hermes is its ability to connect to external tools, run tasks autonomously on a schedule, and self-learn from feedback over time.
Two primary publishing methods are outlined: WordPress via username/API token, and Netlify via an access token. The presenter favors Netlify for its speed, ease of AI integration, and superior design output compared to WordPress's default formatting. He demonstrates retrieving a Netlify API key through the project configuration settings and connecting it to Hermes.
The setup process involves configuring a cron-scheduled task inside Hermes called 'Create AI Profit Boardroom Daily Blog.' Once configured, the agent autonomously reads existing blog post folders, selects a fresh timely topic, writes a new Markdown post matching the user's brand voice and formatting preferences, builds the site, deploys it live via Netlify, and reports back on what was published. Voice rules and content limitations are baked into the schedule.
The presenter also notes that when Hermes encountered a conflict with an existing Cloud Code local process, he simply fed the error into Cloud Code, got a resolution, and relayed it back to Hermes — illustrating how these tools can work in tandem. He highlights that Hermes's self-learning capability means any feedback or corrections are stored and applied to future content iterations.
A live test run is executed, producing a formatted Markdown blog post complete with a hook, headline, terminal command examples, funnel callouts, and internal links to recently published pages. The post is deployed successfully. The presenter cautions viewers to always quality-control AI-generated content before publishing and points to a checklist in the description. He closes by promoting the AI Profit Boardroom community, which includes a full guide, SOP, and 30-day roadmap for AI SEO automation, as well as a free SEO strategy session at goldy.agency.
Key Insights
- The presenter claims Hermes AI is self-learning, meaning every piece of feedback or mistake is recorded and applied to future content — making it progressively better over time without requiring repeated manual instruction.
- The presenter argues that publishing SEO content via Netlify is superior to WordPress because it is faster to connect with an AI agent and produces better-designed output since the AI handles the design rather than WordPress defaults.
- The presenter demonstrates that Hermes autonomously determines content preferences and brand voice by reading existing blog post examples locally, then bakes those voice rules directly into the scheduled cron task.
- The presenter asserts that AI agents like Hermes, Cloud Code, and Open Claw are 'better at doing this than most humans,' pointing to the quality of formatting, internal linking, funnel callouts, and headline writing produced in the live test.
- The presenter describes a workaround where Hermes's confusion caused by a conflicting local Cloud Code process was resolved by feeding the error into Cloud Code, getting a fix, and relaying the answer back to Hermes — illustrating cross-tool orchestration.
Topics
Transcript
[0:00] Today, I'm going to show you how to go from zero to 1,000 clicks a day with AI SEO, and we're going to be using Hermes AI SEO to help you go from what you can see right here all the way up to this. And this has worked several times now, so you can see for example this website as well follows similar trend. This one too, similar sort of chart. This one as well, and this one, right? So, this process just works over and over and over again, and it's something you can start implementing today. So, how do you use this? Well, number one, Hermes AI [0:31] agent connects to other tools really easily and…
Full transcript available for MurmurCast members
Sign Up to AccessMore from Julian Goldie SEO
Google AI Studio Just Got A Huge Security Upgrade
Google is reportedly developing a new "Security Check" mode for AI Studio that would apply secure coding practices to AI-generated applications. The feature aims to automate security verification during app development, addressing common vulnerabilities like exposed keys, weak authentication, and data access issues before deployment.
New Gemini Skills Update Is WILD!
Google has launched Gemini Skills, a new feature allowing users to save custom instructions once and reuse them repeatedly by typing a slash command, replacing the discontinued Gems feature. Skills can include reference files, be combined together, and are built on an open file format (skill.md) that allows portability across different AI tools.
NEW Codex CLI Update Is ABSURD!
OpenAI's new Codex CLI update transforms terminal-based programming assistance by enabling multiple AI agents to work simultaneously on different tasks, visible in a full-screen control center interface. The update includes features like Agent View, work trees, voice control, and parallel task execution, fundamentally changing how AI assistance operates from sequential Q&A to autonomous team-based work management.
NEW Hermes Cloud + Agent OS is Crazy! 🤯
Hermes Cloud combined with Agent OS enables users to deploy AI agents in the cloud 24/7 using free models without API keys or local setup complexity. The system provides persistent memory, sandbox isolation, and integration with custom workflows like content research, competitor analysis, and news monitoring.
Manus 2.0 Just Changed AI Agents Forever
Manas 2.0 represents a fundamental architectural overhaul that enables users to create games, websites, videos, and automations through simple text requests, with the key innovation being editable components rather than fixed outputs. The platform uses a new Cascade engine that reduces token usage by 23% and improves task speed by 28%, while maintaining all project elements in one connected workspace.