Navigating the SEO Landscape: Trends and Tactics
summary
Panel claims concrete wins and failures: automation and ML handle tedious analysis but require curated training data; search visibility still pays (example: ranked position 25→4 saves €10–20k/month); indiscriminate AI content floods results and triggers deindexing (experiment: 7,000 auto posts for $35 in tokens); Google shifts to entity/brand signals with a huge knowledge store (noted as Knowledge Graph 50B vs Wikipedia 6M); practical stacks mentioned include Make, OpenAI APIs and Stable Diffusion to auto‑generate and repurpose content.
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chapters (24)
- 0:00SEO trends and tactics
- 1:52Panelists
- 3:21AI and SEO
- 8:46Brand credibility in Google
- 9:47Brand SEO and knowledge panels
- 11:15Keyword relevance and intent
- 13:00Topic authority
- 14:23Conversational AI impact
- 15:07Understanding Google’s E-E-A-T requirements
- 17:35AI vs Google
- 19:44Content for AI search
- 21:59Google vs AI rivals
- 25:47Multilingual LLM limits
- 27:53AI bias in data
- 30:02SEO for pharma nonprofits
- 33:55Nonprofit marketing
- 34:17Google’s knowledge graph updates
- 37:09Google’s algorithm changes
- 39:12AI spam in search
- 41:22Detecting AI content
- 42:06Wikipedia and knowledge panels
- 42:48Long-form e-commerce content
- 45:15Repurposing content with AI
- 46:20Closing and Q&A
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