This covers the core building blocks of AEO: how answer engines work, the three gates every piece of content must pass through, and the SAGE framework for running AEO as a system.
A user types a question into ChatGPT. The system breaks it into search queries, dispatches browser workers to fetch web sources, extracts relevant content, and synthesizes a response. What makes this system an answer engine rather than just an LLM?
An answer engine has retrieved a list of pages that might answer the user's question. Before opening any of them, what does it evaluate to decide which pages are worth clicking?
Your page appears in search results and answer engines do open it. But your content never makes it into the final response - the answer is assembled from other sources instead. Which gate is the most likely failure?
Your team has a clear picture of where competitors are outperforming you and which content gaps exist, but no new content has shipped yet. In the SAGE framework, what stage should you be in?
This covers the core building blocks of AEO: how answer engines work, the three gates every piece of content must pass through, and the SAGE framework for running AEO as a system.
A user types a question into ChatGPT. The system breaks it into search queries, dispatches browser workers to fetch web sources, extracts relevant content, and synthesizes a response. What makes this system an answer engine rather than just an LLM?
An answer engine has retrieved a list of pages that might answer the user's question. Before opening any of them, what does it evaluate to decide which pages are worth clicking?
Your page appears in search results and answer engines do open it. But your content never makes it into the final response - the answer is assembled from other sources instead. Which gate is the most likely failure?
Your team has a clear picture of where competitors are outperforming you and which content gaps exist, but no new content has shipped yet. In the SAGE framework, what stage should you be in?
