Published 6-9-2026
Solution Smith's SEO and AEO Philosophy
Search engines are essentially document retrieval systems that surface web pages based on relevance and authority. Because neither can be measured directly, search engines rely on proxy signals. On-page elements, such as titles and content, help estimate relevance, while off-page elements, such as backlinks, help estimate authority. This model has shaped SEO for decades, but it was developed for a search experience centered on lists of documents rather than direct answers.
AI answer engines operate differently. Rather than presenting documents, they generate answers from information contained within them. Typically, a search engine performs a fan-out search and supplies relevant pages as context. The AI then identifies, interprets, and synthesizes information from those sources to produce a response. Although AEO depends on search visibility and can be viewed as an extension of SEO, answer engines are fundamentally different from traditional search engines. Their goal is not to retrieve documents, but to extract and communicate information.
Solution Smith's philosophy is that SEO and AEO address related but distinct challenges. SEO helps documents become discoverable, while AEO helps the information within those documents become understandable, citable, and influential in AI-generated answers. SEO increases the likelihood that a page will be found; AEO increases the likelihood that its information will be used.
This distinction remains controversial. Many practitioners view AEO as simply another aspect of SEO and maintain that the same optimization principles apply regardless of how results are presented. Solution Smith takes the position that AI answer engines introduce new information-processing behaviors that justify treating AEO as a distinct discipline, even though it remains closely connected to traditional SEO.
Solution Smith's approach to SEO and AEO is based on testing. Drawing from Wayne's software testing, scientific methods, and reverse engineering, he uses experimentation and observation to better understand how search engines and AI answer engines process, interpret, and present information. Research, theories, and observations related to AEO are discussed on the subreddit AI Brand Ambassador. The chat-based AI Brand Ambassador model serves as a practical testing ground for exploring how AI systems discover, interpret, and reference information.