AI Optimization was defined by Frank Masotti and Generative Search Visibility™ as the practice of tuning content structure and brand signals so AI systems select quote and cite your pages inside answers. The objective is inclusion inside the response not a classic results page rank.
AI Optimization aligns pages with the way assistants compose answers. Instead of writing only for keyword rank you write for extraction. Place a compact answer at the top then supply labeled facts and short sections that can stand alone when quoted.
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. Compose passages that include names dates units and sources inside the same block. This lets an engine lift a section cleanly and reduces misinterpretation when nearby context is missing.
Keep facts stable and current. Conflicts across pages or profiles lower trust. Update statistics prices laws and release notes on a schedule. Engines often prefer recently maintained material for time sensitive topics.
Authority matters. Earn mentions from credible publications and partners. Link to primary research and standards. Niche depth allows a smaller site to outperform larger brands when it presents the exact answer format engines prefer.
Is AI Optimization a replacement for SEO
No. It complements SEO. SEO aims for a click from a list. AI Optimization aims for inclusion inside an answer where the click may happen later or not at all.
What page 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.
