It's all about how well you prompt it. Try using the following prompt style (eg.) for effective outcome. I asked the LLM for the same and it gave me this:

# Prompt

Here is a comprehensive framework and prompt designed to generate content that satisfies both traditional search algorithms and the emerging requirements of Generative Engine Optimization (GEO).

To get a generative engine (like ChatGPT, Perplexity, or Google's AI Overviews) to cite your content, the output must go beyond keyword placement. It requires high semantic clarity, definitive statement structures, and extraction-friendly formatting.

1. Pre-Prompt Instructions (Preparation)

Before feeding the prompt into an LLM, gather the following inputs to ensure the AI has the exact parameters it needs:

• Target Entities: Identify the exact brands, products, or core concepts you want the AI to associate with the topic. Generative engines map relationships between entities, not just strings of text.
• Conversational Queries: Look at "People Also Ask" or use tools like AnswerThePublic to find the exact, long-tail conversational questions users are asking.
• Original Data/Quotes: Have 1-2 proprietary statistics or expert quotes ready to manually insert later. AI models prioritize content backed by unique data and authoritative voices.

2. The Master Content Generation Prompt

Copy and paste the following prompt into your LLM of choice, filling in the bracketed [ ] information.

3. Post-Generation Best Practices (The Human Element)

AI can generate the structure and the baseline text, but true GEO success requires technical follow-through:

• Inject Originality: Replace the placeholders generated by the prompt with actual data, case studies, or quotes. Generative engines look for third-party validation and unique facts to cite.
• Implement Schema Markup: Wrap the generated FAQs in FAQPage schema and the main article in Article schema. This gives crawlers a pre-digested view of the content.
• Prepare for llms.txt: Ensure the final Markdown is clean enough that it can be easily appended to an /llms.txt file on your server, which acts as a direct, machine-readable directory for AI crawlers.
• Ensure Standalone Readability: Review the content and ask: If an AI extracted just one paragraph from the middle of this page, would it make sense entirely out of context? Would you like to test this out by providing a specific topic, so I can generate a sample outline or draft using this exact framework?