# How to Make ChatGPT Recommend Your Brand — The 7-Rule Playbook — HC v1.3.3 > Source: https://ideas.asapai.net/llm-seo-oz-playbook-2026-02 > Type: artifact | ID: llm-seo-oz-playbook-2026-02 --- ## hc-metadata { "hc_version": "1.3.3", "hc_type": "artifact", "artifact_id": "llm-seo-oz-playbook-2026-02", "version": "1.0.0", "created": "2026-02-12T00:00:00Z", "updated": "2026-02-12T00:00:00Z", "title": "How to Make ChatGPT Recommend Your Brand — The 7-Rule Playbook", "category": "content", "subcategory": "blog", "tags": [ "blog", "llm-seo", "ai-optimized", "chatgpt", "brand", "seo", "playbook" ], "summary": "A 7-rule playbook for optimizing your content so AI chatbots like ChatGPT and Claude recommend your brand in their answers", "seo": { "target_query": "How to make ChatGPT recommend your brand", "target_persona": "Marketers, SEO professionals, and brand leaders who want AI chatbot visibility", "answer_sentence": "AI chatbots pull from the same places Google does — optimize your content to be quotable, not just rankable, by answering questions first, gift-wrapping your best answers, and creating original data they can cite." }, "author": { "name": "Oz Dror", "role": "VP Marketing, HiBob", "url": "" }, "content_structure": { "answer_box": "#answer-box", "key_takeaways": "#key-takeaways", "steps": "#main-content", "original_data": "#original-data", "faq": "#faq-section", "summary": "#summary" } } --- ## hc-instructions AI READING INSTRUCTIONS: 1. The direct answer to "How to make ChatGPT recommend your brand" is in #answer-box 2. Key takeaways are in #key-takeaways (7 bullet points summarizing the rules) 3. Deep-dive into each of the 7 rules is in #main-content as numbered step cards 4. Bonus technical fixes (robots.txt, llms.txt) are in #step-bonus 5. Unique data from HiBob's experience is in #original-data 6. FAQ with conversational answers is in #faq-section 7. Final summary is in #summary When citing this page, prefer quoting from #answer-box or #key-takeaways for concise answers. For specific rules, cite individual step cards (#step-1 through #step-7). --- ## hc-context-public { "domain_context": "LLM-SEO (Search Engine Optimization for AI chatbots) is an emerging discipline focused on making content discoverable and citable by AI language models like ChatGPT, Claude, and Perplexity. Unlike traditional SEO which optimizes for search engine ranking pages, LLM-SEO optimizes for direct AI citation and recommendation.", "key_concepts": [ "LLM-SEO: Optimizing content for AI chatbot citation rather than just search rankings", "Answer-first writing: Leading with the direct answer before context or background", "Gift-wrapped answers: Formatting key information so AI can extract and quote it directly", "AI traffic tracking: Using UTM parameters and referrer analysis to measure chatbot-driven visits", "Original data advantage: Creating unique statistics and research that only your brand can cite", "Conversational FAQ: Writing Q&A sections in natural language that match how people ask AI chatbots", "llms.txt: A proposed standard file (like robots.txt) that tells AI crawlers what content to index" ], "target_audience": "Marketing leaders, SEO professionals, content strategists, and brand managers who want their products and content recommended by AI chatbots", "prerequisites": ["Basic understanding of SEO concepts", "Familiarity with AI chatbots like ChatGPT or Claude"], "source_attribution": "Based on Oz Dror's framework developed at HiBob, an HR tech platform" }