AI Glossary

Writing content so that AI tools — like ChatGPT, Perplexity, or Google's AI summaries — will find it and use it when someone asks a question. Similar to SEO, but instead of ranking in a search list, the goal is to be the answer the AI quotes or cites directly. Short, clear, factual sentences work best for this.

AI systems that can take autonomous actions, make decisions, and execute multi-step tasks without constant human direction.

An AI that can take actions on its own, not just answer questions. You give it a goal, and it figures out the steps to complete it. Example: an agent that researches a topic, writes a summary, and emails it to you — without you doing each step manually.

A standardized test or dataset used to measure and compare AI model performance across tasks like reasoning, coding, or language understanding.

A behind-the-scenes connection that lets two software tools talk to each other. When a product is "powered by AI," it's usually using an API to do that. You don't interact with it directly — you interact with whatever it's built into.

Setting up a series of tasks to run on their own, without you triggering each one. Example: every time a new form is submitted, an AI automatically writes a response and sends it. Tools like Zapier and Make are commonly used for this.

A point in a process where work slows down or stops because one step cannot keep up with the demand from other steps.

The consistent personality, tone, and style a business uses across all communication. AI tools can be trained to write in your specific brand voice.

A direct instruction telling your audience what to do next — subscribe, buy, click, comment, or share.

Assessing how much work you or your team can handle and planning resources accordingly to avoid burnout or bottlenecks.

A prompting technique where you ask the AI to show its reasoning step by step before giving a final answer, which often improves accuracy.

An AI chat tool made by OpenAI. One of the most widely used AI tools in the world. Good for writing, brainstorming, summarizing, answering questions, and drafting emails. Available at chat.openai.com. Free to use with a paid upgrade option.

An AI chat tool made by Anthropic. Known for handling long documents well and producing careful, detailed writing. Available at claude.ai. Free to use with a paid upgrade option. Good for research, analysis, and longer writing tasks.

A way to interact with a computer or software by typing text commands instead of clicking buttons. Some AI tools and developer tools are accessed through a CLI. Most everyday AI users never need this.

A sustainable advantage that protects your business from competitors — expertise, relationships, proprietary data, or unique positioning.

The process of sharing and promoting content across multiple channels (social media, email, communities) to reach your target audience.

A core topic or theme that anchors your content strategy — all individual pieces of content branch from these foundational subjects.

The background information you give the AI before asking your question. The more useful context you provide — your role, your goal, your audience — the more useful the answer will be. No context means generic output.

The maximum amount of text an AI can read and remember in one session. Think of it as the AI's short-term memory. If a conversation gets very long, the AI may start to "forget" what you said earlier in the chat.

A structured approach to handing off tasks to team members, contractors, or AI — defining what, who, and how work gets transferred.

A type of generative AI that creates images or other media by gradually refining random noise into coherent output (used by DALL-E, Midjourney).

Server-side code that runs close to the user for faster response times, commonly used for API logic and data processing.

A way of converting text into numerical representations that AI can compare and search. Used in semantic search, recommendations, and knowledge bases.

The percentage of your audience that interacts with your content through likes, comments, shares, or clicks.

A process where an AI model is trained on additional, specific data — like your own writing samples — so it learns your style or language. More advanced than a system prompt. Most users don't need this.

Google's AI tool. Built into Google Workspace, so it works inside Gmail, Google Docs, and Google Sheets. Can search the web in real time, which ChatGPT and Claude don't always do. A good choice if your work already lives in Google.

AI that creates new content — text, images, audio, code, or video — based on patterns learned from training data.

Writing and structuring content so that AI tools that generate answers — like Perplexity, ChatGPT search, or Google's AI Overview — will pull from your content when answering questions. It's the next step beyond SEO. If AEO is about being the answer, GEO is about being the source the AI draws from repeatedly.

An AI tool made by xAI, the company founded by Elon Musk. Integrated into the X platform (formerly Twitter). Known for being willing to discuss a wider range of topics than some other AI tools. Access is primarily through X.

Connecting AI outputs to verified, real-world data sources to reduce hallucinations and increase accuracy.

Rules and constraints applied to AI systems to keep outputs safe, accurate, and aligned with intended use.

When an AI confidently states something that is completely wrong or made up. It might invent a fake source, a fake statistic, or a fake quote — and sound completely sure of itself. Always verify facts, numbers, and citations before using them.

The opening line or element of content designed to immediately capture attention and compel the audience to keep reading or watching.

A detailed description of the type of person or business most likely to buy and benefit from your product or service.

The process of running a trained AI model to generate outputs from new inputs — what happens every time you send a prompt.

The process of improving AI output by following up with more prompts. You rarely get the best result on the first try. A good workflow looks like: first prompt, review, refine, review, refine. Iteration is a skill, not a sign that something went wrong.

JavaScript Object Notation — a lightweight data format used to structure and exchange information between systems and APIs.

A structured representation of information that maps relationships between concepts, helping AI understand context and connections.

The type of AI behind most chat tools you've heard of. It was trained on enormous amounts of text and learned to read and write in a way that mimics human language. ChatGPT, Claude, Gemini, and Grok are all LLMs.

The time delay between sending a request to an AI and receiving its response. Lower latency means faster results.

The process of testing whether real people will actually pay for your product or service before fully building it.

The specific version of an AI doing the work. Different models have different strengths, speeds, and costs. Example: GPT-4o is more capable than GPT-4o mini — same company, different performance. Choosing the right model for the task matters.

An AI that can work with more than just text. A multimodal AI can also read images, analyze PDFs, or process audio. Most major AI tools now have some multimodal ability.

A research and note-taking tool made by Google. You upload your own documents — articles, PDFs, notes — and it lets you ask questions about them, generate summaries, and create audio overviews. It only works from what you give it, not the open web.

An authentication protocol that lets users sign in to apps using existing accounts (like Google or GitHub) without sharing passwords.

The strategic design of your product or service lineup, including pricing tiers, deliverables, and how each offer connects to the next.

An AI model whose code and weights are publicly available, allowing anyone to use, modify, or deploy it (e.g., Llama, Mistral).

Whatever the AI produces in response to your prompt — a draft, a list, a plan, a summary, an answer. Output quality is almost always a direct result of prompt quality. If the output is bad, look at the prompt first.

An AI-powered search tool. Unlike ChatGPT or Claude, it is built primarily for research and pulls information from the web in real time. It shows its sources, which makes it easier to verify what it found. Good for current events, research, and fact-checking.

A strategic shift in business direction — changing your target audience, offer, pricing, or delivery model based on what you have learned.

Written records of how recurring business tasks are performed, enabling consistency, training, and delegation.

The instruction or question you type into an AI tool. This is the most important skill in AI use. A vague prompt produces vague output. A specific, well-structured prompt produces specific, useful output.

A technique where the output of one AI prompt becomes the input for the next, building complex results through sequential steps.

The practice of crafting inputs (prompts) for AI models to produce the most useful, accurate, and relevant outputs.

A method where the AI pulls information from a specific set of documents before it answers. Instead of relying only on what it already knows, it retrieves relevant information first, then responds. This is how AI tools can answer questions about your business or documents specifically.

A technique that restricts how many requests a user or system can make in a given time period to prevent abuse.

Taking one piece of content and adapting it for multiple formats or platforms — turning a blog post into tweets, a video, and an email.

The strategy for how a business generates income — subscriptions, one-time sales, services, licensing, or affiliate revenue.

The practice of writing and structuring content so it ranks higher in Google search results. It involves using the right keywords, organizing content clearly, and earning links from other sites. SEO is about being found by search engines. AEO and GEO are what SEO is becoming as AI takes over more search behavior.

A cloud computing model where the provider manages servers automatically — you write code and it runs on demand without infrastructure management.

Evidence that others trust or use your product — testimonials, case studies, user counts, or endorsements that build credibility.

A documented, step-by-step guide for completing a recurring business task. SOPs make it possible to delegate or automate work consistently.

Artificially generated data used to train AI models when real-world data is scarce, sensitive, or expensive to collect.

A set of instructions that runs in the background before you start a conversation. It tells the AI how to behave, what role to play, and what rules to follow. You usually don't see it — it runs silently. Products use system prompts to make AI behave in specific ways.

An approach that views your business as interconnected parts rather than isolated tasks, helping identify leverage points for improvement.

A setting that controls how creative or predictable an AI's responses are. Higher temperature means more variety and creativity. Lower temperature means more consistent, precise output. Not all tools expose this setting to users.

The unit AI uses to process text — roughly three-quarters of a word. Every AI tool has a limit on how many tokens it can handle at once. This affects how long your prompts and responses can be before the AI starts losing track of earlier content.

The neural network architecture behind most modern LLMs, designed to process sequences of text by attending to relationships between all words simultaneously.

The revenue and costs associated with a single unit of your product or service — determines whether your business model is fundamentally profitable.

A clear statement of the specific benefit your product or service delivers and why someone should choose you over alternatives.

A specialized database that stores data as mathematical vectors, enabling fast similarity searches used in AI-powered recommendations and search.

A system for consistently showing up in front of your ideal audience using content, distribution, and positioning strategies.

An automated message sent from one app to another when a specific event occurs — like a notification system between software.

The sequence of steps you take to complete a task. In an AI context, a workflow usually means combining your inputs, your prompts, and AI tools in a repeatable sequence to get a consistent result. Building workflows is how you go from one-off AI use to a real system.

Zero-shot means you give the AI an instruction with no examples — just tell it what to do. Few-shot means you give it one or more examples of what good output looks like before asking it to produce something. Few-shot almost always produces better results for specific or nuanced tasks.