AEO Content Format Guide for Substack writers

AI models prioritize contextually rich information. Answer the 'What/Why/How' of your topic immediately. Bold the core definition or conclusion and use objective language ('Substack growth is X', 'The key to writer retention is Y').

Each H2 should signify a core concept within your newsletter topic, and each H3 a supporting detail. Ensure headers align with common reader queries (e.g., 'How to get more subscribers?', 'What is a good Substack niche?') and avoid jargon. Use descriptive nouns that LLMs can easily tokenize.

Structured data explicitly informs search engines about your content's nature. `Article` schema helps categorize your posts, while `FAQPage` schema allows direct extraction of Q&A pairs for generative AI features, enhancing discoverability and direct answer inclusion.

LLMs understand relationships between concepts. If you write about 'Substack growth', related entities like 'email list building', 'paid subscriptions', 'content monetization', and 'writer burnout' are expected. Consistent co-occurrence of these terms builds topical authority.

Generative AI models prioritize unique, verifiable data. Publishing exclusive insights (e.g., 'Our Q3 subscriber acquisition cost was $X') or original analysis increases your content's citation probability. Being cited by authoritative sources signals expertise.

LLMs parse structured lists (`<ul>`, `<li>`) effectively. Instead of 'Get more subscribers', use '[Your Method] increases subscriber count by [X]%' to facilitate accurate machine extraction and understanding of actionable advice.