Two years ago, I woke up in the middle of the night with a realization that kept me from falling back asleep.
We were behind.
After nearly 30 years in SEO, building Boulder SEO Marketing from the ground up, and speaking at conferences around the world, I realized something uncomfortable: the way we were creating content wasn’t going to cut it anymore.
ChatGPT had just launched. The AI floodgates opened. And while everyone else was either panicking about AI replacing them or blindly pumping out AI-generated garbage, I knew there had to be a better path.
So I did what I’ve always done when faced with a challenge. I went deep.
Six days of prompt engineering. Testing. Breaking things. Rebuilding. Collaborating with Daniel Burns, who has the technical skills to turn my ideas into actual systems. What emerged from that sprint became the foundation of BSM Copilot.
Last week, we launched version 2.0 to all clients. And I want to break down exactly what it does and why it matters.
The Sweet Spot Nobody Else Has Found
Here’s the reality of what’s happening in our industry right now.
On one side, you have agencies mass-producing AI content without any strategy, research, or human oversight. They’re blasting Google with hundreds of thin pages, hoping something sticks. Google’s getting better at detecting this. These agencies are setting their clients up for algorithmic punishment.
On the other hand, some agencies are terrified of AI. They’re still doing everything manually, taking 11 to 15 weeks to launch a single piece of content. By the time they publish, the landscape has already shifted.
Both approaches are wrong.
What we’ve built sits in what Daniel calls “the sweet spot.” Human-driven, AI-assisted. We use AI to do what AI does best: research, analysis, pattern recognition, and speed. But humans remain in the driver’s seat for strategy, expertise, creativity, and quality control.
This isn’t philosophical. It’s practical. Pages created using this methodology rank faster and perform better than those produced by our previous manual process.
What Goes Into Content That Actually Ranks
Before we write a single word, we gather intelligence from multiple sources. Think of it as building a case file before making a strategic move.
We analyze what’s currently winning. What are the top 10 results for our target keywords? What do they have in common? What are they missing?
We analyze AI Overviews. When someone searches for our target keyword, what does Google’s AI Overview display? Which sources is it citing?
We analyze other AI platforms. What does Perplexity return? ChatGPT? Claude? Gemini? Each platform has slightly different criteria for what it surfaces.
And critically, we incorporate the client’s actual expertise. This is where most AI content falls apart.
We build a custom client agent. For every client, we create a knowledge base that includes their bios, company values, approach to their work, interview transcripts with their leadership, case studies, and everything that makes them unique.
When our AI assists in creating content, it’s not pulling from generic internet knowledge. It’s synthesizing the client’s actual expertise into a format optimized for search.
Google’s algorithms are increasingly sophisticated at detecting genuine expertise versus regurgitated information. E-E-A-T isn’t just a buzzword. It’s the framework Google uses to evaluate content quality.
The Multi-Platform Content Machine
Creating one great piece of content is valuable. But the real leverage comes from what happens after that content exists.
You’ve invested significant resources into creating the best possible piece of content on a topic. Why would you let it sit on your website and hope people find it?
We systematically turn that one piece of content into multiple pieces across every platform that matters for that client.
- LinkedIn newsletter
- LinkedIn company page post
- LinkedIn personal post for the thought leader
- Press release
- Email newsletter
- Medium article
The list goes on. This isn’t spinning content. Each platform has different formats, different audiences, and different expectations. Our system, built using N8N automation workflows, takes the core content and transforms it appropriately for each platform.
The messaging stays consistent. The expertise shines through. But the format matches what works on each channel.
This used to take weeks of additional work after launching a piece of content. Now it happens almost simultaneously.
The Content Hub System
Daniel demonstrated something at the summit that represents where content marketing is heading.
We’ve built a Content Hub using Trello boards connected to our automation systems. For each client, we create cards representing every content asset they need. Press release card. LinkedIn postcard. Instagram card. Infographic card.
When we finish a piece of core content, we trigger the automation that populates all of these cards with platform-appropriate versions. Our team reviews them, makes adjustments where needed, and either schedules them for posting or hands them off to the client’s team.
Some clients want us to handle full distribution. We connect directly to their social platforms and post automatically once the content is approved.
Some clients have internal marketing teams who want to handle distribution themselves. We give them ready-to-post content, and they take it from there.
What used to be a bottleneck is now streamlined.
A Real Example: The SEO Price Guide
Let me give you a concrete example.
We created a page targeting the keyword “SEO price guide.” Competitive term. Significant search volume. Many major players are ranked for it.
This page was 100% created using our BSM Copilot methodology. Virtual Chris, my AI agent trained on my expertise, produced the initial draft based on our research and my 30 years of industry knowledge. We then had humans review it, add custom screenshots and images, refine the language, and publish.
Within weeks, this page ranked at the very top in Google. We’re outranking major publications and established SEO tools.
The page works because it’s not generic. It’s built on real expertise. It answers the questions people actually have. It’s structured based on what’s already ranking well. And it’s promoted across multiple platforms that build authority.
Why This Matters for Your Business
If you’re dealing with any of these challenges, this methodology addresses them:
You know content marketing matters, but you don’t have time to create consistent, high-quality content. We produce better content faster, delivering more value with a proportionally smaller investment.
You’ve tried AI content tools and been disappointed by the generic output. Our custom client agent approach means AI is trained on your expertise. The content sounds like you because it’s built from your words.
You create content but struggle to promote it across platforms. Our multi-platform distribution ensures your content reaches your audience wherever they spend time online.
You’re worried about keeping up with how AI is changing search. GEO (Generative Engine Optimization) is genuine. ChatGPT, Perplexity, and Google’s AI Overviews are changing how people find information. Our methodology optimizes for all of these platforms.
What’s Next
We launched BSM Copilot 2.0 last week. As of yesterday, all of our clients are running on the new system.
But we’re not stopping. Daniel is already working with our AI task force on version 3.0. Things change fast enough that what works today needs to evolve continuously.
Our next AI SEO and GEO Online Summit is tentatively scheduled for April 1st, 2025. We’ll share updates on what we’re learning and how our methodology is evolving.
Watch the Full Presentation
If you want to see Daniel’s complete breakdown of BSM Copilot 2.0, including live demonstrations of the Content Hub and automation systems, watch the full summit recording:
Register for the Next Summit
April 2025 Summit Registration
The future of SEO isn’t about choosing between humans and AI. It’s about combining them in ways that leverage each strength. That’s what we’ve built.
As always, stay safe and healthy.
Cheers,
Chris