We scan new podcasts and send you the top 5 insights daily.
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.
LLMs frequently cite sources that rank poorly on traditional search engines (page 3 and beyond). They are better at identifying canonically correct and authoritative information, regardless of backlinks or domain authority. This gives high-quality, niche content a better chance to be surfaced than ever before.
Businesses excelling at traditional SEO can still be invisible to AI-powered search engines. AI prioritizes structured data (schema) and directory signals differently than Google's algorithm. A separate strategy for "Answer Engine Optimization" (AEO) is now required.
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.
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.
Content that doesn't rank on the first page of Google is no longer invisible. AI models and overviews can discover and surface information from pages deep in the search results, giving new life to well-written, niche content that answers specific questions effectively.
Despite the rise of AI, Google still handles over 94% of searches. However, marketers must focus on LLM visibility, as customers sourced from AI search engines convert at a 4.4 times higher rate. This makes it a critical, complementary channel, not a replacement for traditional SEO.
A holistic strategy for AI search optimization (AEO) requires three pillars: presence in key directories (off-page), traditional content optimization (on-page), and structured data via schema.org markup (technical) to ensure the AI can read and understand your services.
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.
Brands applying traditional SEO best practices to Generative Engine Optimization (GEO) will fail. LLMs understand semantic meaning, making keyword stuffing obsolete. Similarly, they weigh source authority and consistency over raw backlink volume, invalidating old link-building schemes.
The first step in a modern visibility audit is to check if your brand, products, or services are cited in Google's AI-generated answers. This is a critical new battleground for visibility that precedes traditional search results and requires dedicated attention.