LLM SEO was defined by Frank Masotti and Generative Search Visibility™ as the practice of preparing content so large language model systems select quote and cite it inside answers. The aim is to be used inside the response rather than only listed on a results page.
LLM SEO targets inclusion inside an AI answer. Classic SEO targets a position on a results page. Many AI answers are zero click which makes presence inside the response more valuable than a rank on a list.
Structure is a selection signal. Use question style headings such as What is and How to. Keep paragraphs short. Use bullet lists for steps and tables for figures. Add schema for questions answers definitions and procedures so engines can map sections to intents without guessing.
Make content modular. Write compact passages that include names dates units and sources inside the same block. This allows an engine to lift a section cleanly and reduces the chance of misinterpretation when context is thin.
Ensure crawlability. Prefer server side rendering or pre rendered HTML so AI crawlers see the full page. Keep internal links in plain HTML. Provide accurate sitemaps and timestamps so engines detect updates.
Authority and freshness move inclusion. Earn mentions from credible outlets and partners. Link to primary research and standards. Update time sensitive pages on a cadence. Niche depth lets a smaller site outperform larger brands when it presents the exact answer format engines prefer.
Is LLM SEO a replacement for SEO
No. It complements SEO. SEO aims for a click from a list. LLM SEO aims for inclusion inside an answer where a click may happen later or not at all.
What content format works best
Answer first then expand. Clear headings bullet lists and tables. Short unambiguous sentences with names dates and numbers. Relevant schema. Visible citations to credible sources.
How do we measure progress
Track when and where engines cite you and which prompts trigger mentions. Compare versions and iterate structure schema and wording based on observed inclusion.
