SEO Under Siege: 2025’s Collapse of Google Traffic

In this episode Malta Landwehr recounts a personal experiment in South Korea where she abandoned Google for ChatGPT, discovering that AI‑driven search removes the click‑through model that has defined SEO for decades. Without searchable keyword volume and with each prompt yielding a unique, often link‑free answer, traditional metrics like impressions and click‑through rates evaporate. This shift forces marketers to rethink how audiences discover content, moving from a link‑centric ecosystem to a conversational, answer‑first environment where relevance is judged by grounding sources rather than SERP positions.

Landwehr argues that SEOs are uniquely equipped for this transition. Their expertise in data correlation, A/B testing, and performance attribution mirrors the analytical demands of influencing LLM grounding. While attempting to shape foundational model training is impractical for most brands, optimizing the web assets that LLMs pull into their context windows is both feasible and impactful. The competitive landscape now includes Google’s AI overlays, OpenAI’s ChatGPT, Gemini, and niche models like Perplexity and Anthropic, each handling prompts differently—longer, more natural language versus concise keywords—making content relevance and structured data more critical than ever.

Advertising emerges as the next frontier for measurable ROI in AI discovery. Early OpenAI ad pilots lack robust reporting, but history suggests platforms will eventually deliver performance dashboards, audience segmentation, and conversion tracking. Marketers should therefore focus on creating authoritative, well‑structured content that can be easily grounded by LLMs, while preparing to integrate emerging ad metrics once they become available. Prioritizing content quality, schema markup, and strategic partnerships will position brands to thrive as AI search reshapes the digital marketing landscape.