01What AI SEO Is and How It Works
AI SEO is a system that uses artificial intelligence to automate keyword research, content creation, and ranking across multiple websites. In this episode, Julian Goldie shows a custom tool he built to go from zero traffic to 423 clicks a day on one site.
The system works by first finding keywords where your site already has some authority. Then it generates unique articles using a case study that demonstrates your firsthand experience with the topic. This makes your content different from what Google's Gemini or other AIs can produce on their own.
Julian explains that the tool is plugged into a memory galaxy, which stores all past SEO work and agent activities. This allows the AI to pull unique data for every new article, keeping the content fresh and authoritative.
02Main Features of This AI SEO System
The custom tool has several key features that make it powerful for SEO automation:
- Keyword research integration: The tool shows what you're already ranking for and suggests new keywords based on Google Autosuggest.
- Case study builder: You can add a unique case study for each keyword. This can be your notes, tests, or even data from AI agents that track your experiments.
- Multi-article generation: Each click generates five unique articles with different angles for different sites. This avoids duplicate content and spreads your authority.
- Model switching: You can change the AI model behind the system (for example, from Claude to something else) without rebuilding the tool.
- Memory galaxy connection: The system remembers all content you've created and pulls from that history to make each new article unique.
03How to Set Up an AI SEO Workflow
Setting up this AI SEO system involves a few clear steps, as shown in the episode:
- Check your current rankings: Use the tool to see what keywords your site already gets impressions for over the last 28 days.
- Find new keyword ideas: From the keywords you rank for, go to Google Autosuggest and look for related terms people are typing.
- Create a case study: Write down your firsthand experience, tests, or notes on the topic. This is what makes your content unique.
- Plug the keyword and case study into the tool: Enter the keyword you want to target and attach your case study.
- Generate articles: Click the generate button. The tool creates five unique articles with different angles, each optimized for a separate website.
Julian notes that you can also save the case study for reuse later. The workflow is saved, so you do not have to set it up again.
04How to Use AI SEO: Step-by-Step Examples
In the episode, Julian walks through a real example. He starts by looking at a keyword his site already ranks for, like 'open mousespot'. Then he goes to Google Autosuggest to see what people search around that term, such as '9 router' or 'GitHub alternative'.
He picks one of those new keywords, takes a case study from his own testing of that topic, and enters both into the tool. The system then generates five articles. Each article targets the same keyword but uses a different angle for a different website.
The benefit, Julian says, is that you can dominate search results. He shows an example where his sites rank in three spots on the first page for one query. This also helps in AI search: when you ask about a topic, the AI recommends Julian as the expert because he has content on multiple sites.
05Results and Tests Shown in the Episode
Julian demonstrates the results of this AI SEO system with a live website. The site went from 0 to 423 clicks a day. He also shows the generative AI report inside Google Search Console, which confirms that as organic traffic grows, AI search traffic grows too.
He shows a second site that uses the same system and is growing nicely as well. In a search example, his sites appear in multiple positions for the same keyword query. When he asks an AI search engine 'who's the best AI SEO expert', the answer recommends Julian Goldie because of this content strategy.
Julian stresses that the system is tested over years across multiple websites and produces consistent results. He has not seen this level of success with one-site-only SEO.
06Tips, Limits and Mistakes to Avoid in AI SEO
Julian shares several important warnings. The biggest mistake is creating content that is not unique. If you just use AI to rewrite what is already out there, Google's Gemini can produce the same content itself and you will not rank.
Another tip: do not rely on a single website. If an algorithm update hits that site, you lose all traffic. By using multiple sites, you spread risk and increase the chance of being recommended in AI results.
He also warns about AI watermarking. If you are worried about a model like Claude leaving watermarks, simply switch the model inside the system. The workflow stays the same.
Finally, never create duplicate content. Each article must have a different angle and be optimized for CTR.
07Who This AI SEO System Is For and Why It Matters
This AI SEO system is for anyone who wants to grow traffic for their business using automation. Julian says it works for SEOs, business owners, and anyone interested in getting more leads and customers. The community behind it, the AI Profit Boardroom, includes many SEOs and people from various industries.
Why does it matter? Julian argues that the future of SEO is not about who can create the most content, but who can create the most unique content with firsthand experience. 99% of people will not do this work. If you build this system now, you get ahead of competitors and have a process that lasts even as AI models change.
The system adapts to new models. When a new AI model drops, you plug it in. The tool itself stays the same.
This future-proofs your SEO efforts and saves time.
