A Field Guide to Being Cited by Machines That Read Differently Than Humans
This guide explains how LLMs, embeddings, and RAG, that is retrieval-augmented generation, shape what AI search surfaces. It then prescribes content structures designed for citation by ChatGPT, Perplexity, and Google AI Overviews. The technical concepts are unpacked for practical application.
You must stop writing solely for human skimming. AI search systems retrieve and generate using semantic patterns alien to traditional keyword density. Your content architecture now requires dual optimization: legible to humans, retrievable by vector similarity.
Search Influence published this guide. The techniques apply to anyone producing content intended for discovery across AI search platforms.
Step 1: Open a document and write one paragraph answering a specific question in your field, with the answer in the first sentence. Step 2: Add a second paragraph with three distinct subpoints, each with its own clear heading. Step 3: Feed the question to ChatGPT and check if your content structure resembles the cited sources; revise for comparable clarity and specificity.