The AI search, SEO and automation glossary.
Plain-English definitions of the terms we work in every day, from generative engine optimization to marketing mix modeling. Written to answer the question first, for humans and for the AI engines that now do the answering.
AI Search
Generative Engine OptimizationGEO
Generative Engine Optimization (GEO) is the practice of getting a brand cited inside AI-generated answers from tools like ChatGPT, Perplexity, Gemini and Google AI Overviews. Instead of only ranking a page, GEO optimises the facts, structure, entities and citations that generative engines pull from when they write an answer.
Read the definition →Answer Engine OptimizationAEO
Answer Engine Optimization (AEO) is optimising content so it is chosen as the direct answer by answer engines: AI chatbots, voice assistants and featured snippets. It means structuring pages around real questions, leading with a concise answer, and using schema so machines can extract and reuse your response.
Read the definition →AI Search Visibility
AI Search Visibility is how findable and how frequently cited a brand is across AI-powered search: Google AI Overviews, ChatGPT, Perplexity and Gemini, alongside classic organic search. It is the combined outcome of SEO, GEO and AEO, and is tracked as a measurable score rather than a single ranking position.
Read the definition →AI Visibility Score
An AI Visibility Score is a single metric that measures how often and how prominently a brand appears in AI-generated answers. It combines share of voice in AI responses, citation counts across ChatGPT, Perplexity, Gemini and Google AI Overviews, and AI referral traffic, so progress can be tracked month over month.
Read the definition →LLM OptimizationLLMO
LLM Optimization is preparing a website and its content so large language models can read, understand and reuse it accurately. It covers clean server-rendered HTML, structured data, consistent facts, an llms.txt map and quotable, well-sourced content, so models cite the brand correctly rather than guessing or omitting it.
Read the definition →llms.txt
llms.txt is a plain-text file placed at a website root that gives AI crawlers a curated map of the site: the most important pages with one-line descriptions. It helps large language models find and cite the canonical answers quickly, much as robots.txt and sitemap.xml guide traditional search crawlers.
Read the definition →SEO
Schema MarkupStructured Data
Schema Markup is structured data added to a web page (usually as JSON-LD) that describes its content to machines: the organisation, a service, an FAQ, an article, a product or a breadcrumb. It helps search and AI engines understand, trust and reuse the content, and can unlock rich results and AI citations.
Read the definition →Search Engine OptimizationSEO
Search Engine Optimization (SEO) is the practice of improving a website so it ranks higher in organic search results. It spans technical health (crawlability, speed, structured data), on-page content matched to search intent, and off-page authority from links and citations, with the goal of earning relevant, compounding traffic.
Read the definition →Local SEOMap Pack
Local SEO is optimising a business to appear in local search results and the Google map pack for "near me" and location-based queries. It relies on an optimised Google Business Profile, review velocity, consistent name-address-phone (NAP) citations across directories, and local landing pages for each area served.
Read the definition →Data
Decision Intelligence
Decision Intelligence is turning a business’s data into forecasts, alerts and recommended actions rather than backward-looking reports. It combines dashboards, demand forecasting, anomaly detection and causal-impact analysis so leaders know what is coming, catch what is breaking, and prove what actually worked.
Read the definition →Marketing Mix ModelingMMM
Marketing Mix Modeling (MMM) is a statistical method that measures how each marketing channel and other factors contribute to sales, using aggregate historical data. Unlike click-based attribution, it needs no cookies or user-level tracking, so it estimates the true incremental impact and guides how to split budget across channels.
Read the definition →Want to know how you show up in AI answers?
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