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According to Google's VP of AI Marketing, showing up in AI overviews (GEO) is rooted in traditional search. Your website's indexed pages and product feeds are critical because AI models like Gemini use them as a foundational source for credible, grounded information, directly benefiting from existing SEO work.

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Despite the rise of AI Overviews, Google's fundamental SEO guidance has not changed. The key is still creating "people-first," multimodal content and building brand presence across review sites and social media. These traditional signals power the new AI surfaces.

Instead of becoming the top link, AI-focused SEO involves identifying the sources Large Language Models (LLMs) learn from. The goal is to get your brand mentioned within those trusted sources, thereby influencing the AI's generated response and gaining visibility.

Don't abandon SEO for GEO. LLMs rely on the same crawling and indexing systems as traditional search engines. To be cited by AI, you must first have strong SEO fundamentals like fast load times and structured data. GEO then builds on this by focusing on answering specific user questions.

To rank in AI search results, focus less on traditional keyword SEO and more on building trust signals. AI algorithms heavily weigh external validation like online reviews, directory listings, and PR mentions. These long-standing marketing tactics are now critical for AI visibility.

Brands must now focus on how LLMs perceive and represent them, not just on traditional SEO. This new discipline, "GEO" or "LLM Visibility," involves managing the public web data that AI agents consume to answer user queries about brands, products, and competitors.

Google's Robbie Stein explains that because AI models, including Google's own, use web searches to gather real-time information, creating trusted, authoritative content remains the most effective strategy for being featured in AI-generated answers.

For AI answer engines, simply ranking high (SEO) is insufficient. Your site must provide clear, machine-readable information ("entity clarity") so models can confidently answer questions about you without hallucinating. SEO is now the minimum requirement, not the final objective.

In the age of AI, a strong SEO strategy is a critical competitive moat. AI tools like ChatGPT generate recommendations by scraping top search engine results. Ranking high for relevant keywords is the most direct way to get featured in AI-generated answers.

Despite hype around AI killing SEO, data shows traditional search still accounts for the vast majority of web traffic. Marketers should view AI search as a channel diversification opportunity, not a complete paradigm shift, as Google is actively defending its dominance.

Google doesn't rely solely on AI. It first uses a traditional search index (like TF-IDF) to retrieve many relevant documents. Only then does it apply more expensive AI models to re-rank this smaller set, making traditional on-page SEO still vital for initial visibility.

Google's AI Search Still Relies Heavily on Traditional SEO for Credibility and Grounding | RiffOn