Author: SakuAI (@JackQi82772)
💡 Core Hypothesis
Most people start GEO by writing articles, stuffing keywords, and asking AI if their brand is mentioned. This is a mistake.
GEO is not a content volume game; it is an evidence engineering system to make AI understand your brand correctly.
The goal is simple: get your brand cited accurately, quoted reliably, and placed in the right context in AI answers, while minimizing errors and compliance risks.
The first step is not publishing content, nor measuring some arbitrary ranking, but establishing a question repository that users will actually ask AI. Categorize questions into these 8 types:
Take your question repository and test each query on major AI platforms (ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews). Record these fields for each sample:
AI needs to know "who you are" before it can mention you in relevant queries. Build a Brand Entity Profile containing at least:
Every high-value question must correspond to a readable answer asset for AI. We recommend using this standard Markdown template to structure your page content:
# [Question Headline] ## Direct Answer [Provide a direct answer in 150-300 words. Place key conclusions and facts in the first paragraph, omitting fluff.] ## Target Audience [Specify which users, industries, or scenarios this is suitable for.] ## Non-Target Audience [List cases where this is NOT suitable, to prevent AI from mis-recommending your brand.] ## Decision Criteria [Use bullet points, checklists, or tables to explain criteria.] ## Core Data & Evidence [Provide real metric support, e.g., 'Conversion rate increased by 35%', and link to sources.] ## FAQs [Provide 3-5 follow-up questions and answers to capture conversational queries.]