Are SEO and traditional content generation dead? The rise of Artificial Intelligence optimization
- Frederique Depraetere
- Jun 15
- 4 min read
Updated: Jun 23

For the past two decades, digital marketing has largely revolved around one rule: if it doesn’t rank on Google, it doesn’t exist. Search Engine Optimization (SEO) became gospel with keywords, backlinks, meta tags and content calendars ruled the marketing universe.
But something is shifting. Quietly at first, now rapidly: users are skipping search engines altogether. Instead of Googling, people are asking ChatGPT, Copilot, Gemini and other AI assistants for direct answers. They're not searching, they’re conversing.
So where does this leave SEO? Is traditional content generation dying and what comes next?
🚧 The cracks in the SEO foundation
Let’s face it: organic reach has been shrinking. Google’s first page is increasingly dominated by ads, zero-click results, featured snippets, and now AI-generated overviews. The clicks are vanishing, and not because content isn't good, but because search engines themselves are changing.
A few years ago, marketers were already thrown a curveball with the rise of “People Also Ask” (PAA) boxes. Suddenly, being on page one wasn’t enough, you had to anticipate questions, provide direct answers and structure your content for quick-hit value. It was an early sign that content needed to adapt not just for ranking, but for relevance and format.
Now, that shift is accelerating.
🤖 Enter: Artificial Intelligence Optimization (AIO or also often called GEO)
AIO/GEO is not just a buzzword. It’s an emerging strategy that adapts content for AI-first ecosystems. Instead of optimizing for Google’s algorithm, you’re optimizing for large language models (LLMs), AI search tools and content generation assistants.
What does AIO actually mean?
Writing content that AI can understand, cite and reuse.
Structuring data and language so it's machine-readable and semantically clear.
Thinking about content not only for traditional web crawlers, but also for AI training sets, embeddings, and knowledge graphs.
Ensuring your expertise is accessible and reference-worthy for LLMs that power user-facing tools.
It’s SEO 2.0, with a layer of AI literacy added.
📉 If AI answers everything, why create content at all?

Because AI still needs content to learn from. It doesn’t invent knowledge, it repurposes and refines it.
If your business isn’t producing high-quality, accessible content, you risk becoming invisible. This is not only true to users, but to the AI tools they rely on.
That includes:
Blog posts that are concise, accurate and structured.
FAQ pages that reflect real search and query intent.
Expert insights with linked references and clarity.
Original data or viewpoints that LLMs can cite confidently.
The goal isn’t just to rank, it’s to be referenced, quoted and used by both AI and humans.
It's important to understand how different AI tools source their information. Some, like standard ChatGPT, rely on what they've learned during training, so your content needs to be strong and widely visible to be included in that baseline knowledge.
Others, including ChatGPT with browsing enabled, Bing Copilot and Perplexity, actively pull data from the live web. Tailoring your content for both scenarios, static and real-time, will help ensure it's found, referenced and trusted across AI platforms.
🔍 But what about trust? Will users believe what AI says?
This is where human marketers remain critical.
Despite AI’s speed and scale, people crave reliability. They want sources. They want to know that what they’re reading is:
Up to date
From a trustworthy brand
Reflective of human judgment and intent
This is a huge opportunity for brands with strong reputations and credible, consistent voices.

✅ So, is traditional SEO dead?
No. But it’s evolving.
SEO is no longer just about search engines. It’s about visibility in an AI-dominated content landscape:
Being found not just on Google, but inside ChatGPT answers or Copilot summaries.
Creating content for both machines and humans.
Understanding that AI is a new layer in the content discovery pipeline.
🎯 AIO Checklist for Marketers
Here’s how to start adapting your strategy:
Rethink your KPIs: Shift from rankings to visibility in AI tools and engagement with AI-refined content.
Update your content strategy: Include structured Q&A, reliable sources and semantic clarity, AI reads better when humans do too.
Use AI tools wisely: Platforms like Jasper, SurferSEO or ChatGPT can accelerate content creation, but editorial oversight is non-negotiable.
Publish authoritative content: Thought leadership, research and human insight are AI gold.
Monitor AI visibility: While tools are emerging, begin tracking if and where AI references your brand.
🧠 Marketers, don’t fear the shift!
It’s no surprise that marketers are wary of AI. Social media is full of complaints that it’s not working, that it's producing generic content, that it threatens creativity, quality and reliability.
And some of those concerns are valid.
But AI isn’t going away. The way content is discovered, consumed, and trusted is changing, just like it did with “People Also Ask,” voice search or mobile-first indexing. Those who resisted fell behind. Those who adapted, thrived.
Embracing AI doesn’t mean abandoning your values. It means evolving your strategy. It means being present where users are, and increasingly, that's inside AI tools, not just beside them.
Change isn’t the enemy, stagnation is.
About the author

Frederique Depraetere is a native English and Dutch speaker with a UK/US education and background. He is a seasoned global marketing leader with over 20 years of experience driving growth across technology, SaaS and innovation sectors. As a fractional CMO/CCO, he supports startups, scale-ups and biotech companies as well as established companies, advocacy groups and NGOs in shaping strategy, building brands and accelerating results. His international expertise spans fast-moving markets and high-stakes communications, helping ambitious teams turn ideas into impact.
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