SmartlyQ
GEO, AI visibility, MCP, agents - plain-language definitions of the terms reshaping how marketing works.
Generative Engine Optimization (GEO) is the practice of increasing how often and how favorably AI assistants - ChatGPT, Gemini, Claude, Perplexity - mention and recommend your brand in their generated answers. Where SEO optimizes for ranked links on a results page, GEO optimizes for being part of the answer itself.
AI visibility is the degree to which AI assistants - ChatGPT, Gemini, Claude, Perplexity and AI search features - mention, cite or recommend your brand when users ask relevant questions. It is the AI-era equivalent of search visibility: instead of rankings on a results page, it measures presence inside generated answers.
An AI Presence Score is a 0-100 metric that quantifies how visible a brand is inside AI-generated answers. It is calculated by running a set of realistic customer questions across multiple AI models (ChatGPT, Claude, Gemini, Perplexity) and scoring how often - and how favorably - the brand appears in the responses.
AI search optimization is the adaptation of search strategy for AI-powered search experiences - Google's AI Overviews, Perplexity, ChatGPT's web search and similar - where an AI reads sources and composes a direct answer with citations, instead of only ranking links. The goal shifts from winning the click to being the cited source.
The Model Context Protocol (MCP) is an open standard that lets AI assistants securely connect to external tools, data and services. An application exposes its capabilities as an MCP server; AI clients like Claude discover those tools and call them during conversations - turning 'chat about it' into 'do it'.
An MCP server is the application side of the Model Context Protocol: a service that exposes capabilities (post to social, query a CRM, run a report) as structured tools that AI assistants can discover, understand and invoke. Users connect a server to their assistant - increasingly with a one-click OAuth sign-in - and grant it scoped permissions.
An AI agent is an AI system that pursues a goal by planning, using tools and reacting to results across multiple steps - rather than producing a single answer. Given 'promote this launch', an agent can draft the content, generate the assets, schedule the posts and report results, checking its own work along the way.
An AI marketing agent is an AI agent specialized in marketing execution: it plans campaigns, generates the content (posts, videos, images, emails), schedules and publishes across channels, monitors results and adjusts - operating the marketing stack rather than just advising on it, with human approval gates on sensitive actions.
A social media API is a programmatic interface for interacting with social platforms - publishing posts, reading comments and messages, pulling analytics - from code instead of the app UI. A unified social media API wraps many platforms (Instagram, TikTok, LinkedIn, X, YouTube...) behind one consistent interface.
Faceless content is social media content - usually short-form video - produced without a creator appearing on camera. It combines AI voiceover or avatars, stock and AI-generated visuals, b-roll, captions and strong hooks, letting brands and creators publish at volume without filming themselves.
Social media automation is the use of software to perform social media work automatically - scheduling and publishing posts, recycling evergreen content, routing and answering comments/DMs, and compiling analytics - so consistent presence doesn't require constant manual effort.