AI Search Optimization refers to the practice of structuring content so AI systems can accurately retrieve, interpret, and cite it in generated answers. It encompasses Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO), focusing on how models evaluate clarity, authority, and relevance rather than traditional rankings.
AI engines treat commerce sites differently than informational sites. This article explains how AI systems understand, compare, and recommend e-commerce products, and what brands must expose at the product level to be eligible for citation.
AI systems assess five distinct dimensions that determine whether content is extractable, trustworthy, and worthy of citation. This article elaborates on Stellar’s GEO Framework and explains how AI engines actually evaluate websites along Five Pillars.
AI search engines don’t cite sources based on writing quality or rankings. They follow a structured citation pipeline that filters content based on retrievability, extractability, and trust. This article explains how that process works, and why most content never gets cited.
GEO focuses on making content extractable and citable by AI systems, not just rankable in search engines. This article explains what GEO is, why it matters, and how AI decides which sources to include in its answers.
To get started with optimizing your website for AI search visibility, submit your information here. Stellar will perform a mini-assessment to give you a GEO-readiness score along the different pillars of our framework. Your free report will be emailed to you within 2–3 business days.
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