How AI is Transforming SEO: Insights from Expert Mark Williams Cook
Brief news summary
SEO expert Mark Williams Cook explains how AI is disrupting search, citing an example where AI mistakenly linked bad reviews from a similarly named company to one of our portfolio brands. With 22 years of SEO experience and having witnessed eight “deaths of SEO,” Mark highlights the decline of Google’s link graph and notes that OpenAI may lose $10-15 billion this year trying to make AI search profitable. In a recent podcast, he describes AI as a “leaky bucket” and offers advice on adapting SEO strategies in this evolving landscape. Kwasi Ankomah from SambaNova Systems adds that AI agents are far more costly than typical chatbots, consuming 10-20 times more tokens and potentially generating infrastructure costs up to $3 million monthly, compared to $100k on optimized setups. Finally, newsletter readers can customize email preferences to opt out of podcast notifications without unsubscribing entirely.SEO expert Mark Williams Cook recently revealed how AI is fundamentally disrupting search. For instance, when we searched for one of our portfolio brands, Google's AI-generated overview mistakenly pulled negative reviews from an entirely different company with a similar name and attributed them to us. Recognizing the need to understand how AI is transforming SEO, we collaborated with Mark, who has 22 years of SEO experience and has witnessed eight “deaths of SEO. ” He emphasizes that the current situation is markedly different—the link graph that underpins Google is beginning to deteriorate.
Additionally, OpenAI is projected to lose between $10-15 billion this year as it strives to develop profitable AI-driven search. In our latest podcast episode, Mark unpacks the realities of SEO in the AI era, explaining why he describes AI as a “leaky bucket” and offering guidance on how companies should approach SEO amid these changes. ICYMI: Kwasi Ankomah from SambaNova Systems recently exposed the harsh numbers behind agentic inference (using AI agents in production): AI agents consume 10-20 times more tokens than typical chatbots. Running these on conventional infrastructure could mean monthly costs of $3 million, which could be reduced to $100, 000 with the right setup. P. P. S: If you enjoy the newsletter but prefer not to receive these new podcast announcement emails, please don’t unsubscribe—instead, adjust your preferences to opt out of them here.
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How AI is Transforming SEO: Insights from Expert Mark Williams Cook
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