In a digital landscape increasingly saturated with AI-generated content, the question isn’t whether to use AI for content creation, but how to use it effectively and responsibly. After exploring Simon Høiberg’s approach to automated blog content creation, I’ve identified key strategies that make the difference between low-value, spammy AI content and genuinely valuable contributions that serve both readers and search engines.
The Quality Dilemma
Google has made its stance clear: they don’t penalize content simply because it’s AI-generated, but they do target “low-quality, unhelpful content created primarily to manipulate search rankings.” This distinction is crucial for anyone considering AI content generation.
The challenge is creating content that meets these three critical criteria:
- Genuinely helpful to readers
- High-quality in research and presentation
- Relevant to your audience’s needs
The Elements That Transform AI Content from Generic to Valuable
1. Thorough Research Integration
The most significant failure point of typical AI-generated content is its generic, shallow nature. To counter this:
- Integrate factual information from reputable sources
- Include statistics that support key points
- Cite and reference other articles and resources
- Provide proper attribution to establish credibility
2. Unique Internal Knowledge
What truly differentiates valuable content is the inclusion of insights that can’t be found elsewhere:
- Proprietary data from your business
- Unique case studies and examples
- Industry insights from your specific experience
- Customer testimonials and feedback patterns
This approach creates content that brings something new to the conversation rather than simply repackaging existing information.
3. Thoughtful Structure and Presentation
Quality content isn’t just about what you say but how you present it:
- Clear, logical organization
- Well-designed visual elements that enhance comprehension
- Consistent brand styling
- Professional formatting that respects reader experience
Finding the Right Balance
Automation doesn’t mean abandoning human oversight. The most effective AI content strategies maintain:
- Human review of topics and direction
- Quality control checks before publication
- Regular assessment of content performance
- Ongoing refinement of the AI instruction framework
Is Automated Content Right for Your Business?
Before implementing an AI content strategy, consider where content marketing fits in your overall business strategy:
If your blog is your primary customer acquisition channel with years of established SEO value, a fully automated approach carries significant risk. In these cases, use AI as an assistant rather than the primary creator.
However, if you’re revitalizing underperforming channels or scaling content production for secondary marketing channels, automation can provide substantial value with manageable risk.
The Bottom Line
The distinction between spam and value isn’t determined by whether AI was involved in creation, but by whether the final product genuinely serves reader needs and provides unique insights. When implementing AI in your content creation, focus not just on efficiency but on enhancing quality through research, unique insights, and professional presentation.
With the right approach, AI can help transform content creation from a resource drain to a scalable asset—without sacrificing the quality that builds audience trust and search engine respect.