The primary channel for discovery is shifting from search engines (SEO) to AI-powered "answer engines" like ChatGPT. Product Managers are now responsible for this new distribution channel, requiring a strategy to ensure their brands and products surface in AI-generated responses.
As users shift from keywords to conversational prompts in AI browsers, SEO strategy must also evolve. The focus should be on creating 'answer-ready' content that directly and comprehensively addresses likely user questions, positioning your brand as a primary source for the AI to cite.
Stop chasing keyword rankings. The new goal is 'search visibility'—dominating AI answers, knowledge panels, and local packs. It's about owning your brand's share of answers wherever a prospect looks, not just securing a single blue link on a results page.
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.
Following SEO, App Store Optimization, and social virality, the next major distribution channel is AI answer engines. Product teams must now strategize how to get their brand, features, and knowledge base indexed and surfaced in AI responses, making AEO a critical growth lever for the modern era.
Traditional SEO often involves technical debates (e.g., subdomains vs. folders) and link building. In contrast, optimizing for AI search (AIO) is about teaching the LLM about your product's value, features, and benefits, much like training a salesperson. It requires strong product marketing skills over technical SEO expertise.
With AI-powered search, user behavior has shifted to asking direct questions. Effective SEO now requires structuring content to directly answer the specific questions buyers are asking search engines and AI tools, rather than just ranking for keywords.
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.
With 80-90% of AI-powered searches resulting in no clicks, traditional SEO is dying. The new key metric is "share of voice"—how often your brand is cited in AI-generated answers. This requires a fundamental strategy shift to Answer Engine Optimization (AEO), focusing on becoming an authoritative source for LLMs rather than just driving website traffic.
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.