AI search SEO glossary in plain English
This glossary is built for founders, marketers, and operators trying to make sense of AI search visibility. It also helps strengthen topical coverage and entity consistency across the GEO Intelligence content hub.
Core definitions
- AI search
- The layer of search where users ask systems like ChatGPT, Perplexity, Gemini, or Claude for direct answers instead of only browsing blue links.
- GEO (Generative Engine Optimization)
- The practice of improving how likely a brand or page is to be understood, trusted, retrieved, and cited inside AI-generated answers.
- Entity SEO
- Work that helps machines understand who a company, product, or person is, and how that entity connects to other known entities on the web.
- Citation readiness
- How prepared a page is to be used as a source. Clear definitions, strong structure, concrete proof, and public accessibility all help.
- Answer-ready content
- Content written clearly enough that an AI system can summarize or quote it directly without guessing what the page means.
- Retrieval
- The process of finding relevant public information before generating an answer. Pages that are easier to understand and trust are more likely to be retrieved.
- sameAs
- A structured-data property used to connect your site to profiles and pages on other platforms, helping with identity consistency.
- Topic cluster
- A group of related pages around one subject, linked together so both humans and machines can see the site has real depth on the topic.
- E-E-A-T
- Experience, expertise, authoritativeness, and trust. It is not a direct ranking factor by itself, but it remains a useful shorthand for what strong public proof looks like.
- Public proof layer
- The visible evidence behind a brand: reviews, testimonials, benchmarks, methodology, examples, and third-party mentions.
How these terms connect
Entity first
If AI systems cannot clearly identify the business, everything else gets weaker. Start with brand consistency, About pages, and schema.
Proof second
Pages with numbers, examples, and transparent methodology are easier to trust and cite than pages full of abstract claims.
Depth third
Topic clusters, glossaries, case studies, and engine-specific guides make a site feel complete instead of thin.
Related pages
Use this glossary after the audit
When the audit flags weak entity clarity, thin content, or weak internal linking, this glossary helps define the missing pieces and creates another public resource AI systems can reference.