Essential terminology for Answer Engine Optimization and AI visibility. Learn the language of the emerging AEO industry.
Answer Engine Optimization. The practice of optimizing content and brand presence to be recommended by AI assistants like ChatGPT, Gemini, Claude, and Perplexity.
The frequency and prominence with which a brand appears in AI-generated responses to relevant queries.
An AI system that provides direct answers to user questions rather than links to websites. Examples include ChatGPT, Perplexity, and Google AI Overviews.
An instance where an AI assistant references or recommends a specific brand in its response.
A reference to a source that an AI system uses to support its answer. Perplexity notably displays citations in its responses.
An AI assistant developed by Anthropic, known for emphasizing factual accuracy and academic credibility in its responses.
A metric measuring how aggressively competitors are capturing AI visibility in your category or for your target queries.
When one brand replaces another in AI recommendations for a specific query or category.
The AI's ability to identify and understand a brand as a distinct entity with specific attributes and relationships.
Consistent information about a brand across multiple sources (Wikipedia, LinkedIn, Crunchbase) that helps AI recognize and understand the brand.
A highlighted answer box in Google Search results. Content that wins featured snippets often performs well in AI responses.
Generative Engine Optimization. Another term for AEO, emphasizing the generative nature of AI systems. Often used interchangeably with AEO.
Google's AI assistant, deeply integrated with Google Search and the Knowledge Graph.
The practice of connecting AI responses to verified, real-world information sources to improve accuracy.
A structured data format used to provide machine-readable information about content. Essential for AEO schema markup.
A database of interconnected entities and their attributes. Google's Knowledge Graph heavily influences Gemini responses.
A box in Google Search displaying verified information about an entity. Having a Knowledge Panel significantly boosts AEO visibility.
Large Language Model. The AI technology underlying ChatGPT, Claude, Gemini, and other AI assistants.
An AI search engine that uses real-time web search to answer queries, displaying source citations in its responses.
A query or question submitted to an AI assistant. In AEO, tracking which prompts mention your brand is key.
Whether your brand appears in AI responses for specific prompts or query types.
AI systems (like Perplexity) that search the web live to answer queries, unlike systems that rely solely on training data.
Structured data added to websites to help search engines and AI understand content context. Essential for AEO.
Search Engine Optimization. Traditional practice of optimizing for Google Search rankings. Related but distinct from AEO.
The credibility and trustworthiness of a content source as perceived by AI systems.
A prioritized action plan for improving AEO metrics over a defined period (typically weekly).
Machine-readable information embedded in web pages that helps AI understand content meaning and relationships.
The corpus of information used to train an LLM. Content in training data influences AI responses.
The date after which information was not included in an AI's training. ChatGPT and Claude have cutoffs; Perplexity uses real-time search.
A metric quantifying how often and prominently a brand appears in AI responses across relevant queries.
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