Kajabi Skills
AI-Powered SEO Blog Engine for Kajabi
A complete blog production system that turns your Kajabi site into a search traffic machine, powered by AI with human-quality output.
Most Kajabi blogs fail quietly. Not because the writing is bad, but because there is no system behind them. I build the full infrastructure: SEO strategy, keyword architecture, an AI writing engine with multi-layered quality safeguards, a custom visual design system, a content lifecycle framework, and a repeatable workflow you operate independently. You get a production engine, not a pile of blog posts.
Book a Discovery CallThe Problem
Kajabi gives you a blog editor. It does not give you a blogging system. There is no keyword research pipeline, no internal linking strategy, no content architecture, no quality framework, and no structured workflow to keep everything consistent across dozens or hundreds of posts. Most Kajabi creators blog by opening a blank page, writing what comes to mind, and hoping Google notices.
Google does not notice. Without keyword cluster mapping, pillar-page architecture, and deliberate internal linking, each blog post sits in isolation. It competes against sites that have all of those things. The result is predictable: months of effort, minimal organic traffic, and a growing suspicion that "blogging doesn't work for my niche."
Then there is the AI problem. Tools like ChatGPT and Claude can generate blog posts quickly, but without constraints, the output is generic, repetitive, and detectable. AI detection tools flag it. Google's spam systems penalize it. Readers sense something is off and leave. Raw AI output is not the shortcut most people think it is. It is a different kind of time sink: editing, rewriting, and fixing content that was never structured properly in the first place.
What is actually missing is not writing ability. It is the system around the writing: the strategy layer, the quality safeguards, the SEO infrastructure, the visual design, and the operational workflow that makes every post work harder than the last.
What This Service Delivers
I build you a complete blog production engine inside a Claude AI Project, configured specifically for your niche, your audience, and your Kajabi site. The system consists of 15 to 20 governing files (written in Markdown), each controlling a different aspect of production: SEO strategy and keyword targeting, brand voice and editorial guardrails, product and course knowledge, ideal customer profile (ICP) pain points and emotional jobs, content quality safeguards, visual component design, internal linking and CTA rotation, AI humanization and specificity auditing, E-E-A-T compliance, LLM citation optimization, competitor landscape intelligence, and a content refresh lifecycle system. Your brand identity, product structure, audience segments, and competitive positioning are all captured in dedicated reference files that the AI consults on every post. Together, these files turn Claude from a general-purpose chatbot into a disciplined writing partner that knows your business, speaks in your voice, and follows your rules whether it is post number 5 or post number 50.
The engine runs on a 6-step workflow. Step 0 performs optional deep topic research when the subject is news-adjacent, contested, or primary-source-heavy, building a durable research brief before competitive analysis begins. Step 1 generates topic ideas ranked by SEO opportunity, keyword cluster priority, and business value. Step 1.5 runs an optional competitor landscape scan, analyzing what your competitors are publishing, where their content is weak, and where the gaps are that you can exploit. Step 2 discovers and analyzes the top-ranking SERP articles for your chosen keyword, harvests People Also Ask questions to feed the FAQ pipeline, runs title pattern analysis to find divergent positioning, then proposes 10 distinct angles to outrank them. Step 3 produces the full blog post: production-ready Kajabi HTML with five integrated pain-point touchpoints, editorial opinion blocks, a specificity pass that eliminates vague claims, LLM optimization for AI citation eligibility, SEO metadata, internal links, visual components, CTA selection, and all compliance checks passed. Step 4 generates a hero image prompt and alt text. Step 5 manages the post-publication lifecycle, with tiered refresh cadences, performance-triggered audits, and a structured workflow for keeping published content current. You approve at each stage. The AI executes. The quality stays consistent across your entire content library.
What you own after handoff: every file, every template, the Claude Project itself, the CSS component library installed on your Kajabi site, and a complete playbook for running the system. This is not a monthly retainer or a dependency. I build it, teach you how to operate it, and hand you the keys.
What is not included: ongoing blog post writing, social media distribution, email marketing integration, or paid advertising setup. Those are separate services. This engagement is focused entirely on building the production infrastructure and proving it works with pilot content.
Frequently Asked Questions
Yes. The blog production engine runs inside a Claude Project, which requires a Claude Pro subscription ($20/month) from Anthropic. This is your ongoing operating cost. I set up the project and all the files during the engagement. After handoff, you interact with Claude directly to produce posts. There are no additional software costs unless you choose optional tools for image generation or SEO monitoring.
The system architecture is niche-agnostic. The same framework (keyword clustering, pillar-cluster architecture, AI governing files, visual components, quality safeguards) applies to any knowledge-driven niche: health coaching, financial planning, SaaS education, professional development, fitness, real estate, technology, and more. The strategy layer and governing files are custom-built for your specific niche during the engagement. Nothing is copy-pasted from a template. If your business depends on educating an audience and converting readers into customers, this system is designed for you.
Existing posts get audited during the discovery phase. I assess their SEO performance, internal linking structure, and content quality. Strong posts get incorporated into the link library as linkable assets. Underperforming posts can be flagged for revision using the new system. The engine does not require you to start from zero, but it does require that going forward, all new posts follow the production workflow so the system's quality standards remain consistent.
Most operators settle into a rhythm of 2 to 4 posts per week once they are comfortable with the workflow. Each post requires roughly 30 to 60 minutes of your time across the approval and review stages. The AI handles the heavy lifting (research, writing, formatting, link placement), but you make the editorial decisions: which angle to pursue, whether the draft meets your standards, and when to publish. Claude Pro usage limits may also factor in depending on your plan tier and post complexity.
Google's stated position is that they care about content quality, not whether AI was involved. That said, low-quality AI content that reads like a language model wrote it will underperform. The system addresses this head-on with two dedicated frameworks. First, a 13-point AI humanization audit that governs sentence length variation, paragraph structure diversity, banned AI connector phrases, hedging limits, controlled imperfection patterns, register shifts, and structural signatures that detection tools look for. Second, a specificity pass that flags and resolves vague quantifiers, unnamed entities, and unsourced claims, replacing them with concrete figures, named examples, and verifiable data points. The goal is not to trick detectors. It is to ensure the content genuinely reads like an expert wrote it, because the system enforces the structural and substantive patterns that distinguish real expertise from AI output.
The system is built with Markdown files and standard CSS. There are no fragile integrations, no third-party plugins, and no dependencies that can break silently. The most likely maintenance need is updating the governing files as your blog grows (adding new posts to the link library, marking keywords as used). The operations playbook covers all of this. If Anthropic makes changes to Claude that affect the system, or if you run into an issue you cannot resolve, I offer a 30-day post-delivery support window at no additional cost. Beyond that, paid support sessions are available.
You need to be comfortable with basic text editing (the governing files are plain Markdown), copying and pasting HTML into Kajabi's blog editor, and following a documented process. You do not need to know how to code, write CSS, or understand APIs. The training phase is specifically designed to get non-technical operators confident with the workflow. If you can use a word processor and follow instructions, you can operate this system.
Most engagements take 3 to 5 weeks from discovery to handoff. The biggest variable is responsiveness: the strategy and calibration phases require your feedback and approvals at key checkpoints. Faster feedback means a faster timeline. The build phase itself (where I do the bulk of the work) typically runs 7 to 10 days. Rush timelines are possible for simpler niches but not recommended, because the calibration phase is where the system gets fine-tuned to your voice and standards.
It could be, but I deliberately chose not to build it that way. Here is why. The system runs inside a Claude Project, which gives the AI persistent access to all your governing files, accumulated context from every post you have produced, and the benefit of iterative refinement over time. That persistent context is what makes the output genuinely good, not just fast. Full automation would require moving the engine to API calls, where the AI starts fresh on every request with no memory of your previous posts, your evolving voice, or the conventions you have established. The output quality drops noticeably. You can close most of that gap with careful engineering, but the first 10 to 15 API-generated posts will need more revision than what the Claude Project produces natively.
The system is designed to minimize your time, not eliminate your involvement. You spend roughly 30 to 60 minutes per post across three touchpoints: approving the content angle, reviewing the draft, and publishing to Kajabi. That human layer is what keeps the quality high, the voice consistent, and the editorial judgment sharp. If you eventually want to scale to daily publishing and are willing to accept a tradeoff in quality for volume, we can discuss adding an API-based automation layer as a separate engagement. But for most Kajabi creators, the Claude Project workflow is the better foundation.
Ready to build your blog engine?
No commitment. We will talk about your niche, your goals, and whether this system is the right fit for where your business is today.
Book a Discovery Call