Tomorrow’s SEO: How AI is Reshaping Search
summary
Claims a migration workflow using vector database + embeddings reduces manual redirect mapping and reaches 90% accuracy in tests; demonstrates semantic nearest‑neighbor matching on old→new URLs (Pinecone, vv8 examples) and reuse for internal linking. Presents Google’s Search Generative Experience rolling out to ~40% of queries with big “SGE” cards, shows hallucination risks, cites 30% of work automatable by 2030, demos agent prototypes and a voice‑diagnosis model at ~90% success.
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chapters (10)
- 0:00AI’s impact on SEO
- 3:10Why AI transforms search now
- 6:43AI for smarter site migrations
- 11:57Google’s AI-first shift and SGE
- 21:43How SGE changes SEO
- 27:01Google’s AI advancements and integrations
- 31:36AI agents and search future
- 37:18Reskilling SEO pros for AI
- 40:02AI’s societal impact
- 43:10Key takeaways and future
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