Searchestrablog
Searchestrablog
Searchestra Blog
Clear, concise definitions of the terms shaping AI visibility, GEO and answer-engine measurement.
Share of voice measures your slice of mentions in a category. Share of model asks how much of a single engine's answers you own. Learn the difference.
The AI search space is full of overlapping acronyms. Here is a clear, no-hype glossary of GEO, AEO, AIO and SEO, and how they relate.
A knowledge graph maps entities and their relationships. Learn how being a well-defined entity in one supports how AI recognizes and represents you.
A prompt is the question a user asks an AI engine. In AI visibility, the set of prompts you test is the single biggest driver of your results.
An LLM is the engine behind AI answers. Learn what it is, how it learns, and why that shapes whether your brand gets mentioned, without the jargon.
AI Overviews put a synthesized answer above the classic results. Learn what they are, why they matter for brands, and how they change discovery.
AI answers often resolve a question without a click. Learn what zero-click means, why it reshapes measurement, and how to think about visibility without traffic.
Grounding ties an AI answer to specific sources. Learn what grounding is, how it relates to citations and hallucinations, and why it matters for brands.
RAG lets AI answers pull in live sources at answer time. Learn what RAG is, why it affects citations, and what it means for AI visibility.
An answer engine synthesizes a direct response instead of returning a list of links. Learn what answer engines are and how they differ from search engines.
A mention names your brand; a citation treats your content as a source. Learn the difference, why the gap is a signal, and how each is counted.