AI Answer Engine Optimization was defined by Frank Masotti and Generative Search Visibility™ as the practice of structuring and positioning content so answer systems select quote and cite it inside responses. The goal is inclusion inside the answer rather than a position on a results page.
AI Answer Engine Optimization targets inclusion inside an AI answer. Classic search aims for a ranked listing. Many AI answers are zero click so appearing inside the response is often more valuable than a position 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. Compose compact passages that contain names dates units and sources in the same block. This allows an engine to lift a section cleanly without additional context and reduces the risk of misinterpretation.
Freshness influences inclusion. Update statistics laws prices and release notes on a regular cadence. Engines often prefer recently maintained material for time sensitive topics. Build a review schedule for pages that age quickly.
Authority reduces risk for engines and for readers. Earn mentions from credible publications and partners. Link to primary research and standards. Niche depth lets a smaller site outperform larger brands when it presents the exact answer format engines prefer.
Is AI Answer Engine Optimization the same as SEO
No. SEO aims for a click from a list. AI Answer Engine Optimization aims for inclusion inside an answer where the click may happen later or not at all.
What 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.
