AEO / GEO / AI-SEO Glossary

The practice of making a brand the preferred answer cited by AI engines (ChatGPT, Gemini, Perplexity, AI Overviews) through entity authority, answer-ready content and structured data. Unlike traditional SEO that optimizes for rankings, AEO optimizes to be the single cited source.

Optimizing content to be featured prominently in AI-generated syntheses, comparisons and recommendation guides. GEO also covers geolocation-aware AI queries ('near me' prompts handled by LLMs).

The umbrella discipline covering AEO, GEO and AI-first SEO. AIO encompasses all strategies to make a brand visible, cited and recommended by artificial intelligence systems.

The percentage of relevant AI prompts where a brand is cited or recommended. Measured by running 50-150 real buying prompts across ChatGPT, Gemini, Perplexity, Copilot and Grok, tracking citation, position, sentiment and frequency.

The perceived trustworthiness, uniqueness and expertise of a brand entity as understood by large language models. Built through consistent structured data, authoritative third-party mentions and comprehensive topical coverage.

When multiple authoritative sources reference the same brand consistently, increasing LLM citation probability. A key lever in AEO: the more trusted sources agree, the more likely an AI will cite that brand.

Content structured so LLMs can extract and cite it directly — FAQ blocks, How-To guides, definitions, comparison tables, listicles. The format AI engines prefer when generating their answers.

A structured representation of entities, relationships and facts that search engines and LLMs use for understanding. Google's Knowledge Graph, Wikidata and brand-specific entity graphs all feed into AI answers.

Machine-readable metadata (JSON-LD format) embedded in web pages that helps AI engines understand content context, entities and relationships. Critical for AEO as it provides the semantic layer LLMs rely on.

A plain-text file at the root of a website that provides context and key information directly to LLM crawlers. The AI equivalent of robots.txt — it tells AI engines what the site is about, its services, credentials and key facts.

Monitoring which brands, URLs or sources are cited by AI engines across a set of buying queries. The core measurement methodology for AEO/GEO — tracking not just if you're mentioned, but where, how often and in what sentiment.

Google's AI-generated answer blocks shown above traditional search results. Formerly known as Search Generative Experience (SGE). Being cited in AI Overviews is a primary goal of GEO strategies.

Earning mentions on authoritative third-party sources that LLMs use as training and retrieval data. Unlike traditional PR, digital PR for AEO targets sources that AI engines specifically trust and cite.

Deep, comprehensive coverage of a subject that signals expertise to both search engines and LLMs. Achieved by creating interconnected content clusters covering all aspects of a topic.

Experience, Expertise, Authority, Trust — Google's quality framework, increasingly used by LLMs to select credible sources. Strong EEAT signals make content more likely to be cited in AI answers.

An AI architecture that retrieves external documents before generating answers. The reason fresh, structured and authoritative content gets cited — RAG-based systems like Perplexity actively search and cite web sources.

Optimizing for multiple AI engines simultaneously (ChatGPT, Gemini, Perplexity, Claude, Grok) rather than a single platform. Each LLM has different retrieval patterns, ranking signals and citation behaviors.

When users get their answer directly from the search engine or AI engine without clicking through to a website. Over 65% of Google searches are now zero-click — making AEO/GEO critical for brand visibility.

Crafting content that matches the natural-language prompts users type into AI engines. Understanding how people phrase buying questions helps create content that AI engines select as the answer.

The Hills Agency proprietary methodology: Audit, Narrative, Structure, Wording, Entity, Reinforcement — a six-phase system that makes brands the answer AI engines cite first. Developed from 500+ AI visibility audits.