3-Step AI Content Framework: Create AI Content That Actually Ranks
Stop arguing about AI content. Start using it right. Here's how to create AI content that Google loves and users actually read.
You've probably seen conflicting advice about AI content. Some experts say avoid it completely. Others claim it's the future of content creation.
The reality is more nuanced.
AI content isn't inherently good or bad. It's a tool. Like any tool, the results depend on how you use it.
What we know from Google's guidelines:
- • Google doesn't penalize content for being AI-generated
- • They focus on whether content is helpful to users
- • Quality matters more than creation method
- • Poor content gets penalized regardless of source
Google's actual stance
Google's guidelines are clear. They want helpful content. Period.
Human-generated spam faces penalties. AI-generated assistance is recognized.
The proof is in their search results
Google implements AI content within their search result pages. AI overviews. Featured snippets. Search suggestions.
They're not hypocrites. They know AI can create value. The question isn't whether you use AI. It's how you use it.
The May 2024 algorithm leak confirmed it. Google doesn't have an "AI content detector." They have quality detectors.
What actually works
There's a documented case of a SaaS company that increased traffic 1300% in 7 months using AI content. The key detail: they didn't publish raw AI output.
The team employed human editors to review all content. The team reviewed each AI-generated draft through fact-checking and editing to achieve publication readiness.
| Approach | Traffic Growth | Sustainability |
|---|---|---|
| Raw AI Content | Fast decline | Site penalties |
| AI + Human Editing | 1300% growth | Consistent results |
| Pure Human Content | Slow growth | High costs |
AI functions optimally as an initial tool which should not replace the final output. The combination of AI with human supervision enables faster writing production.
Common challenges with AI content
Publishing without editing
Raw AI content presents generic information that fails to deliver distinctive viewpoints. The content repeats established knowledge without providing fresh perspectives.
Google's helpful content updates have targeted mass-produced, low-value content regardless of whether it was created by AI or humans.
Challenges with raw AI content:
- • Often sounds generic
- • Lacks unique perspective
- • May contain inaccuracies
- • Misses brand voice
Improved AI content includes:
- • Human editing and review
- • Brand voice alignment
- • Fact-checking
- • Personal insights added
A practical approach
Start with detailed prompts
Vague prompts like "Write an article about SEO" typically produce generic content. More specific prompts tend to generate better first drafts.
Example of a detailed prompt
Target audience: B2B marketing directors who use AI tools but worry about quality.
Tone: Direct and helpful, avoid corporate jargon.
Structure: Problem → Solution → Action steps
Key points to cover:
- Google's official AI content policy
- Case study: SaaS company traffic growth
- Common editing mistakes to avoid
- Practical implementation steps
Include specific examples and avoid theory-heavy explanations.Always edit and review
AI output functions as an initial draft which needs further development before it becomes a complete article.
You should include your personal experience while verifying information and make the text more suitable for your audience and eliminate any unneeded information.
Choose appropriate tools
AI tools operate with distinct functions for their applications. The writing capabilities of ChatGPT represent general AI functionality but specialized tools provide search engine optimization (SEO) features.
| Tool Type | Best For | SEO Features |
|---|---|---|
| ChatGPT/Claude | First drafts | None |
| Jasper/Copy.ai | Brand consistency | Basic |
| Surfer AI/Frase | SEO content | Full optimization |
You should determine which additional features you require after basic writing functionality. The process of optimizing for search engines and performing keyword research and content organization needs specific tools.
Getting started
AI content experimentation requires you to follow these specific steps.
Suggested approach:
- • Start small - Try AI for one piece of content first
- • Edit thoroughly - Add your perspective and expertise
- • Fact-check claims - AI can make confident mistakes
- • Consider SEO needs - Use appropriate tools for optimization
- • Track performance - Compare results with your usual content
The most successful AI content results from uniting automated generation methods with human professional input and monitoring systems.
AI functions optimally as a tool that assists human writers to complete their tasks more efficiently rather than taking their place.
Written by
Falco Schneider
Founder, Ultra Relevant
Published
September 12, 2024
8 Min Read
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