Niklas joined the AirOps team to share some of our content engineering workflows and thought processes behind them. One of the workflows shown, is from the programmatic content case study we did with Planeco Building.
Top 5 Takeaways
- AI workflows can be used for high-quality, location-specific content. Niklas’s team published 247 unique, high-ranking pages using AirOps automations.
- Combining Perplexity with other LLMs keeps it accurate and authoritative. Layering Perplexity for research with Claude for writing delivered reliable, customized content. Watch below for why they decided on which LLMs to use.
- Human review remains critical for quality, even with advanced automation. Manual review steps caught errors and improved content standards, especially for images.
- Work in batches and test. There is no need to publish hundreds of articles at once. Test in small batches, see the outputs and then proceed from there.
- Custom content agents and feedback loops significantly accelerated their operations. Niklas’s content agent workflow slashed production time while embedding internal linking and editorial review.
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