A bot used by AI companies to scan and index web content for use in AI-generated responses. Examples: GPTBot (OpenAI), Google-Extended (Google), Amazonbot.

Google’s conversational search interface where users ask follow-up questions in a chat-like experience, powered by Gemini. Launched within Google Search alongside AI Overviews.

Google’s AI-generated summary displayed at the top of search results, powered by Gemini. Appears before organic links and typically cites 3–5 sources.

The broader practice of optimising content and digital presence for AI-powered systems. Sometimes used interchangeably with GEO, though AIO can encompass AI beyond search.

A change to a search engine’s ranking system that affects how pages are evaluated. Major Google examples: Panda, Penguin, Hummingbird, BERT, and Helpful Content Updates.

Descriptive text attached to an image that tells search engines and AI what the image contains. Written in the HTML alt attribute.

A search tool that generates direct answers to user queries instead of returning a list of links. Examples: Google AI Overviews, ChatGPT Search, Perplexity, Copilot.

Structured data markup (schema.org/Article) that tells AI a page is an article, including metadata like author, publish date, modified date, and headline.

Structured data markup (schema.org/Person) that identifies the author of a piece of content, including their name, credentials, and linked profiles.

A link from another website pointing to your content. Historically one of the strongest SEO ranking factors.

Bidirectional Encoder Representations from Transformers. A Google AI model (2019) that enabled understanding of word relationships and context within sentences.

The traditional list of 10 organic search results on a Google results page. Named for their blue hyperlink colour.

Your brand as a recognised “thing” in AI’s knowledge graph — an entity with associated attributes like topic, credibility, and relationships to other entities.

An HTML element that tells search engines which version of a page is the “original” when duplicate or similar versions exist.

OpenAI’s web search integration within ChatGPT that retrieves live content and cites sources in responses. Reached 800M+ weekly users by 2026.

When an AI answer engine references your content as a source in its generated response. The AI equivalent of ranking #1 — except only 3–5 sources are typically cited per answer.

The percentage of relevant AI queries in which your content is cited. Measured by testing a set of queries across AI engines and recording how often your brand appears.

A group of interlinked articles covering a topic from multiple angles, anchored by a cornerstone piece. Also called a topic cluster or pillar-and-cluster model.

Microsoft’s AI assistant, integrated into Bing search, Windows, and Microsoft 365. Powered by OpenAI’s models with Bing search integration.

Google’s metrics for measuring user experience: Largest Contentful Paint (loading speed), Interaction to Next Paint (responsiveness), and Cumulative Layout Shift (visual stability).

The ability of search engine and AI bots to access and read your website’s content.

A clear, concise response to a question placed in the first 1–2 sentences of a page’s content. The single most important structural element for AI citation.

A score (0–100) predicting how well a website will rank, based on backlink quality and quantity. Created by Moz; similar metrics from Ahrefs and Semrush.

Experience, Expertise, Authoritativeness, Trustworthiness. Google’s framework for evaluating content credibility, used by quality raters and increasingly reflected in AI source selection.

A distinct, identifiable thing in AI’s knowledge system — a person, brand, place, concept, or topic. AI organises information around entities and their relationships.

Any piece of information that helps AI recognise, categorise, and trust your brand as an entity. Includes: consistent naming, schema markup, Wikipedia references, social profiles, brand mentions.

Structured data markup (schema.org/FAQPage) that identifies question-and-answer pairs on a page, making them directly extractable by AI.

A highlighted answer box shown at the top of Google’s traditional search results, pulled from a web page. Pre-dates AI Overviews.

Google’s first major algorithm crackdown (November 2003), targeting keyword manipulation and aggressive SEO tactics.

Any indicator that content is recent or recently updated. Includes visible “Last Updated” dates, current statistics, and timely references.

Google’s family of AI models powering AI Overviews, AI Mode, and the Gemini app. Gemini 3 (January 2026) brought significant improvements to source citation and conversational search.

The practice of structuring content so that AI-powered answer engines — Google AI Overviews, ChatGPT, Perplexity, Copilot — select, summarise, and cite it in their responses. GEO builds on SEO and adapts it for the era of AI-generated search summaries.

A composite assessment of a website’s readiness for AI citation, measured across five dimensions: technical foundation, content quality, author and trust signals, off-page authority, and AI citation progress.

A 5-step content structure for maximum AI extractability: (1) Question heading, (2) Direct answer in 1–2 sentences, (3) Explanation in bullet points, (4) Evidence/statistics, (5) Real-world example.

Any AI system that generates answers by retrieving sources, processing them, and producing a synthesised response. Includes Google AI Overviews, ChatGPT, Perplexity, Copilot.

Google’s AI training crawler, separate from Googlebot. Can be selectively blocked or allowed in robots.txt.

OpenAI’s web crawler that scans content for use in ChatGPT and other OpenAI products. Can be blocked via robots.txt.

A series of Google algorithm updates (2022–2023) that systematically rewarded content written for humans and penalised content created primarily for search engine manipulation.

Structured data markup (schema.org/HowTo) that identifies step-by-step instructional content, making individual steps extractable by AI.

A major Google algorithm overhaul (2013) that shifted from keyword matching to understanding the meaning of full queries.

Links between pages on the same website, creating a connected structure that helps both users and AI understand content relationships.

JavaScript Object Notation for Linked Data. The format recommended by Google for implementing schema markup — embedded as a script in your page’s HTML.

The practice of overloading content with target keywords to manipulate search rankings. Effective in early 2000s SEO, now heavily penalised.

A structured database of entities and their relationships, used by search engines and AI to understand real-world connections between people, brands, topics, and concepts.

A visible timestamp on content showing when it was most recently revised. Displayed via Article schema and/or a plugin like WP Last Modified Info.

The AI architecture behind tools like ChatGPT, Gemini, and Copilot. Trained on vast datasets to understand and generate human language.

A short HTML summary of a page’s content, displayed in traditional search results below the page title.

Google’s 2015 mobile-friendly update that penalised sites not optimised for mobile devices in mobile search results.

AI systems capable of processing multiple content types — text, images, video, audio — simultaneously.

The branch of AI that enables computers to understand, interpret, and generate human language. Powers search understanding from BERT through to Gemini.

Activities outside your website that build authority and trust — backlinks, brand mentions, social signals, community participation, PR and thought leadership.

Structured data (schema.org/Organization) that describes your company or project — name, logo, social profiles, contact info.

Google algorithm update (February 2011) targeting low-quality content farms and thin content, rewarding sites with substantial, original, high-quality content.

Google algorithm update (April 2012) targeting manipulative link-building schemes and unnatural backlink profiles.

An AI-powered answer engine known for detailed, citation-rich responses with visible source links. Reached 1 billion+ monthly queries by mid-2026.

An individual recognised as a distinct entity in AI’s knowledge system, with associated attributes like expertise, credentials, and published work.

H2 or H3 headings written in question format that match real user queries. Example: “What is GEO?” rather than “GEO Overview.”

The process AI engines use to answer questions: first retrieve relevant sources from the web, then generate a synthesised answer citing those sources. The core mechanism behind all AI search tools.

Google’s first machine learning signal for search (2015), helping interpret unfamiliar or ambiguous queries.

Discussion threads, forum posts, and community mentions that reference your brand or content. Reddit in particular became a major AI data source in 2023–2024.

A text file at the root of your website that tells crawlers which pages they can and cannot access.

Code added to your website that labels content in a machine-readable way, following the schema.org vocabulary. Tells AI exactly what your content means, who wrote it, and how it relates to real-world entities.

Search based on understanding the meaning and intent behind a query, rather than just matching keywords. Enabled by Hummingbird, BERT, and subsequent AI advances.

The page displayed by a search engine in response to a query. In 2026, SERPs increasingly feature AI Overviews above traditional blue links.

The process by which AI engines evaluate and choose which web sources to cite in their generated responses. Based on content quality, structure, authority, freshness, and trust signals.

The practice of optimising a website’s infrastructure for search engine crawling, indexing, and performance. Includes site speed, mobile-friendliness, schema markup, crawlability, sitemap.

The degree to which a website is recognised as an expert source on a specific topic, built through depth and breadth of related content, backlinks, and consistent publishing.

Any element on or off your website that indicates credibility and reliability to AI engines. Includes: author bios, cited sources, schema markup, backlinks from credible sites, brand mentions, last updated dates.

The GEO Lab’s 4-layer framework for AI search visibility: (1) Technical Foundation, (2) Content Quality, (3) Brand Mentions, (4) AI Citation. Each layer builds on the one below — you cannot skip layers.

A file listing all important pages on your website, helping search engines and AI crawlers discover and index your content efficiently.

A search interaction where the user’s question is answered directly on the results page — via AI Overview, featured snippet, or knowledge panel — without clicking through to any website.