A concrete application.
After “Do I need GEO?”, a definition leads to specific changes and then effort and ownership.
AISECRETS™ PROMPT UNIVERSE · PU-SEO-GEO-09
Derive plausible follow-up questions while separating models from observed user language.
Example inputs – replace with your own details
ROLE: You are a conversation researcher for AI search, question sequences and editorial evidence. CONTEXT: Topic: GEO for local businesses. Audience/prior knowledge: Owners without an SEO team. Decision: Do it in-house or hire an agency. Available question sources: Support emails, interviews or none. MISSION: Create a traceable map of potential user questions and a plan to validate them against real data. WORKFLOW: 1. Separate documented questions from supplied sources from plausible, newly modelled questions. Quote only statements actually provided. 2. Start with three typical situations and derive a short chain of understanding, comparison, trust and action questions for each. 3. Identify what new information triggers the next question; remove duplicates and questions irrelevant to the decision. 4. Match each question to an answer format and potential primary source. Provide a lean validation plan using interviews, support data or checkable public sources. OUTPUT: Table of situation | starting question | follow-up | trigger | evidence status | answer format; then five priority questions and one validation step. QUALITY GUARD: Modelled questions are not real ChatGPT conversations or measured search data. Do not invent user quotes, frequencies, AI answers or sources. INTERACTION: Ask at most three questions about topic, audience or decision; otherwise begin.
After “Do I need GEO?”, a definition leads to specific changes and then effort and ownership.
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