The Role of the Content Engineer: Building Smarter Systems for AI Search
カートのアイテムが多すぎます
カートに追加できませんでした。
ウィッシュリストに追加できませんでした。
ほしい物リストの削除に失敗しました。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
-
ナレーター:
-
著者:
このコンテンツについて
Send us a text
📬 You like this podcast? You’ll love the newsletter.
Join the weekly 3-2-1 on AI search + marketing: subscribe
In today’s episode of Found in AI, I sit down with Josh Spilker, Head of Content and SEO at AirOps, to unpack how the rise of the content engineer is reshaping the way marketing teams build, scale, and optimize content in the age of AI search.
We cover:
- What the content engineer role actually is — and why it’s becoming essential inside modern content teams
- How AI workflows are changing the way we handle linking, updates, and large-scale content operations
- Why freshness, structure, and systemized updates now drive visibility in AI engines like ChatGPT and Perplexity
- The skills and tech stack today’s content engineers need — from no-code tools to prompt-based automation
- How content leaders can start treating content like a product to future-proof their teams and stay visible in LLM search
If you’ve been wondering how to future-proof your content strategy — and what new skills will separate tomorrow’s marketers from the ones left behind — this episode is for you.
📌 Mentioned in this episode:
- Content engineering frameworks
- AI workflows for linking and content freshness
- AirOps and AirOps University
- ChatGPT, Perplexity, and Google AI Mode
- Systems thinking in content operations
💬 Let’s connect:
LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com
Newsletter → Get the insights
Keywords: Content Engineer, AI Search, AI Workflows, SEO, Content Operations, AirOps, Generative Engine Optimization, GEO, AEO, AI-Driven Marketing, Content Strategy, B2B Marketing