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SEO is evolving beyond search engines to include Large Language Models (LLMs) like ChatGPT. Brands must now practice "Generative Engine Optimization" (GEO), ensuring their site is properly coded and marked up so AI can accurately crawl, understand, and recommend their products in generative responses.
As users increasingly get news from AI like ChatGPT, traditional SEO is evolving into "GEO" (Generative Engine Optimization). Platforms must now be designed to get a company's narrative cited by large language models, ensuring visibility in this new wave of information discovery.
The audience for marketing content is expanding to include AI agents. Websites, for example, will need to be optimized not just for human users but also for AI crawlers that surface information in answer engines. This requires a fundamental shift in how marketers think about content structure and metadata.
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.
Generative Engine Optimization (GEO) requires shifting from a 2D view of SEO (your site + backlinks) to a 3D model of "content clusters." This involves creating an interconnected web of assets across different platforms (YouTube, Reddit, blogs) that all reference each other and your brand to establish topical authority.
The first step to influencing AI is ensuring your website is technically sound for LLMs to crawl and index. This revives the importance of technical audits, log file analysis, and tools like Screaming Frog to identify and remove barriers preventing AI crawlers from accessing your content.
The future of search isn't just about Google; it's about being found in AI tools like ChatGPT. This shift to Generative Engine Optimization (GEO) requires creating helpful, Q&A-formatted content that AI models can easily parse and present as answers, ensuring your visibility in the new search landscape.
Unlike traditional SEO, which focuses on keywords and links, GEO aims to make your brand visible in AI-generated answers. This is achieved by becoming a citable, trusted authority, which requires a blend of public relations, high-quality owned content, and technical site readiness.
Marketers must evolve from SEO to GEO, optimizing content for how brands appear in LLM results. This requires a new content strategy that treats the LLM as a distinct persona or channel, creating content specifically for it to crawl and ensuring accurate brand representation.
As users increasingly get answers from AI assistants, marketing strategy must evolve from Search Engine Optimization (SEO) to Generative Engine Optimization (GEO). This means creating diverse, authoritative content across multiple platforms (podcasts, PR, articles) with the goal of being cited as a trusted source by AI models themselves.
AI will dominate product discovery, forcing brands to either pay for sponsored ads in LLMs or earn organic placement through genuine product quality and authentic reviews, as AI aggregates too much data to be easily gamed.