Google Downplays GEO – But the Real Problem Is Garbage AI SERPs

Google has recently tried to ease SEO concerns around Generative Engine Optimisation (GEO) and AI-driven search. In Search Off The Record, Danny Sullivan and John Mueller addressed how content may surface in LLM-based search and chat experiences, pushing back against popular advice such as “chunk your content for AI. While this clarification is helpful, it avoids a more important discussion: the growing quality problem in AI-powered search results and what content creators and educators should really be focusing on. From Keywords to Entities In its early days, Google relied heavily on keyword matching. PageRank expanded this by using links and anchor text as signals of authority. In 2012, Google introduced the Knowledge Graph and described a major shift from strings to things—moving beyond keywords to understand real-world entities and their relationships. Google called this “the next generation of search. Today’s AI Overviews, conversational search, and LLM-generated answers are the direct continuation of that vision. The AI SERP Quality Problem AI-driven search aims to understand intent, synthesise information, and provide instant answers instead of links. In theory, this improves user experience. In practice, it has led to shallow, overconfident, and sometimes incorrect summaries dominating the SERPs. Common issues include: Loss of nuance and real-world context AI answers built on weak or derivative sources Reduced visibility and attribution for original publishers This directly impacts industries like education, where trust and expertise matter. Why “Chunk Your Content” Misses the Point Google is right to dismiss chunking as a ranking strategy. Chunking may help readability, but it does nothing to improve expertise, credibility, or accuracy. AI systems reward entity authority and real knowledge, not just clean formatting. This is especially important for brands positioning themselves as experts, such as a digital marketing institution in Calicut offering practical, career-focused education. What Actually Matters for SEO Now Instead of chasing GEO shortcuts, publishers and educators should focus on: Clear entity positioning and topical authority First-hand experience, case studies, and industry insights Depth and context over surface-level summaries Strong trust signals like authorship and transparent sourcing Institutes like https://dacademy.in/, a leading digital marketing academy in Calicut, benefit by showcasing real expertise, student outcomes, and hands-on learning—far more than by optimising content for AI parsing. The future of search is not about optimising content for AI consumption. It’s about credibility in an ecosystem increasingly filled with low-quality AI answers. For anyone offering a digital marketing course in Calicut, authority and experience—not chunking—will define visibility in the next generation of search.