structured data
Rich Results Test ↗
Rich Results Test is a tool provided by Google that tests whether the structured data on a page can be eligible for rich results in Google Search.
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323 terms
structured data
Rich Results Test is a tool provided by Google that tests whether the structured data on a page can be eligible for rich results in Google Search.
structured data
Article schema describes an article's headline, author, images, and dates in structured data so search engines can interpret that information.
structured data
A HowTo schema is a type in Schema.org that expresses procedures and steps to accomplish a goal.
structured data
BreadcrumbList schema represents the hierarchy leading to a page within a site. It can describe the page's location alongside visible breadcrumb navigation.
structured data
Organization schema describes an organization's name, official URL, logo, and contact details to help identify the organization.
structured data
LocalBusiness schema communicates a business location's name, address, opening hours, and contact information as structured data.
structured data
WebSite schema uses Schema.org vocabulary to describe information such as a site’s name and URL. It can support Google’s site-name display but does not guarantee a particular presentation.
structured data
A breadcrumb is a hierarchical path link that shows where the current page is located within the site structure.
structured data
A knowledge panel is an information box in Google Search summarizing an entity such as a person, organization, or place. Google generates panels automatically from multiple sources.
structured data
A knowledge graph is a data structure that structures and expresses objects such as people, organizations, places, and concepts and their relationships.
structured data
An entity is something that search engines and AI can independently identify, such as a person, organization, place, product, or concept. It is the basis for search that is understood in terms of meaning and relationships rather than word matches, and plays a central role in knowledge graphs and AI answers.
GEO·AEO·AI search
Generative engine optimization (GEO) examines how brands, products and content are found and described in AI search, then improves the accuracy and accessibility of the information behind those answers.
GEO·AEO·AI search
Answer engine optimization (AEO) structures content to answer customer questions clearly and with evidence, and examines how that information is used in search and AI answers.
GEO·AEO·AI search
Large Language Model Optimization (LLMO) is an industry expression that refers to efforts to improve how language model-based services describe brands or content.
GEO·AEO·AI search
AI search optimization refers to the work of improving the accessibility, accuracy, and explanatory power of web content in searches and generated answers, and examining actual usage.
GEO·AEO·AI search
AI search visibility describes how often a brand is mentioned or a page is cited in a defined AI search or answer environment. It is not one standardized metric covering every service.
GEO·AEO·AI search
Generative search uses retrieved information to produce a natural-language answer, sometimes with links to supporting sources. Google AI Overviews is one example.
GEO·AEO·AI search
An answer engine is an expression that refers to a system that finds information related to a user's question and provides it in the form of an answer.
GEO·AEO·AI search
AI Mode is a search experience in Google Search that uses generative AI to explore questions and find related resources.
GEO·AEO·AI search
SGE, or Search Generative Experience, was the name of Google's generative AI search experiment in Search Labs. It is a historical term used to discuss the development of AI in Google Search.
GEO·AEO·AI search
A brand mention is when your brand's name or identifiable expression appears in a document or conversation.
GEO·AEO·AI search
Conversational search is a way to explore the information you need by asking questions and follow-up questions.
GEO·AEO·AI search
Multi-turn search is a method of searching that does not end with a single question but asks several questions following the context of the previous conversation.
GEO·AEO·AI search
Retrieval-Augmented Generation (RAG) is a method of retrieving external data and then using that data as context to generate answers.