1. 3 Layers of AI content Generation
1.1. Foundation Model Knowledge
1.1.1. Model training . Ex: GPT-3, GPT-4
1.1.2. Fine tune and Updates ( same model but add more recent data ) . Ex: GPT-4.1 , GPT-4o
1.2. Tool Integration
1.2.1. Web Search
1.2.1.1. all contents indexed by search engines
1.2.2. Databases
1.2.2.1. Structured Information
1.3. Response Synthesis
1.3.1. The final step where the AI stitches together information from its foundation knowledge and newly retrieved data to create a coherent, helpful response.
2. WHAT
2.1. AEO
2.1.1. Content to be featured as direct answers to the questions ( FAQ ). Designed and seperated contents by Heading ( h1, h2, h3 )
2.1.1.1. **H1:** Why Did South Africa’s Ramaphosa Suspend Police Minister Senzo Mchunu? **H2:** Allegations Leading to the Suspension **H2:** Ramaphosa’s Official Statement **H2:** Political Context Behind the Inquiry **H3:** Key Events in 2025 Related to the Police Ministry
2.2. GEO
2.2.1. Semantic Contents . **Not only** indexed contents **but also** LLMs process, understand and incorporate
3. HOW
3.1. Besiding **ChatGPT | Perplexity OWNED Search Engines** , still by ranking high on Search Results ( **Google , Bing** ) that these models access.
3.1.1. backlinks
3.1.1.1. Free Directories
3.1.1.2. Articles ( trust sites / blog ): techcrunch , medium, substack, linkedin, Reddit ...
3.1.1.3. Buy backlinks from high-scored related websites
3.1.2. Author and Domain Authority
3.1.2.1. Influencer
3.1.2.2. Discussion about YOU
3.1.3. Content quality and Relevance
3.1.3.1. Text
3.1.3.2. Video
3.1.3.3. Images
3.1.4. Technical Optimization factors
3.1.4.1. Structured Data
3.1.4.2. Meta Tag
3.1.5. User engagement metrics
3.2. Iterated Distillation and Amplification (IDA)
3.2.1. Semantic Understanding Over Keyword Matching
3.2.2. Multi-Modal Content for Enhanced User Experience
3.2.2.1. text , video , image
3.2.3. The Golden Age of Long-Form Content
3.2.3.1. Training data preference ( preferable )
3.2.3.2. Authority signals (Detailed content often signals expertise and authority)
3.2.3.3. Citation preference ( comprehensive resources)
3.2.4. Community and User-Generated Content
3.2.4.1. Real user experiences
3.2.4.2. Diverse perspectives
3.2.4.3. Question and answer formats
3.2.5. LLMs.txt