Writing · Frameworks
Generative AI for Technical SEO: A Builder's Perspective
Search is shifting from blue links to direct answers. Technical SEO now means making your unstructured data legible to a retrieval-augmented generation (RAG) system.
PM hiring question
How do you optimize a site for an Answer Engine?
Recruiter takeaway
"How to structure modern web apps for answer engines (Perplexity, ChatGPT) using LLMs.txt and dynamic schema."
01 · The new SEO is GEO
Generative Engine Optimization (GEO) is evolving alongside traditional SEO for informational queries. When a user asks an answer engine about your product, it may synthesize an answer directly from the DOM. A clean semantic structure serves as helpful implementation guidance for these models.
02 · LLMs.txt: An emerging proposal
Rather than a strict replacement for robots.txt, llms.txt is an emerging, optional proposal with unspecified client processing. It serves as a markdown-friendly map of your content that can be provided as a helpful hint for ingestion into a context window.
03 · Why JSON-LD matters more than ever
LLMs are exceptionally good at parsing structured JSON data. If your page provides a rich Person, ProfilePage, or SoftwareApplication schema, it acts as potentially helpful implementation guidance for an agent extracting entity data, bypassing the noise of visual layout.