What if Google isn't your biggest audience anymore... AI is?
In this episode of thinkfuture, host Chris Kalaboukis speaks with Andreas, CEO of Artios.io, about one of the biggest shifts happening online: the transition from traditional SEO to AI-powered search.
For years, businesses optimized content for Google's algorithms.
Now they're competing for something entirely different:
AI's attention.
Andreas explains why today's internet is overflowing with low-value, AI-generated content—and why that's becoming a major problem for large language models. As the web fills with recycled information, AI systems struggle to distinguish original insight from repetition.
His solution?
Create research-grade content with genuine information gain.
We explore:
- Why traditional SEO is rapidly losing effectiveness
- How AI search engines decide which sources to trust
- Why "research-grade content" outperforms generic AI-written articles
- The growing problem of AI hallucinations and synthetic content
- How companies can become trusted sources for AI systems
- Why Reddit, Quora, and online communities contain untapped market intelligence
- The evolution from Large Language Models (LLMs) to Large World Models (LWMs)
- How real-world sensory data could dramatically improve AI reliability
- Why advanced robotics may become programmable by anyone
Andreas believes the next decade won't simply be about better AI.
It will be about better knowledge.
If you're interested in AI search, content strategy, SEO, marketing, knowledge management, or the future of AI, this conversation offers a fascinating glimpse into where search is headed next.
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