In this blog post I am going to give you a plain English AI glossary for business owners, the terms you keep seeing, explained the way I would explain them to a client over coffee, with no jargon and no showing off. If a word has been making you nod along in meetings while quietly wondering what it means, it is probably in here.
I built this AI glossary for business owners because most glossaries are written by engineers for engineers. You do not need the textbook definition. You need to know what the term means for your business and whether you should care. So that is how each one is written.
Skim it, or search the page for the word that brought you here.
The core AI terms every business owner should know
Artificial intelligence (AI)
Software that performs tasks we used to think needed a human, like understanding language, recognising images, or making a judgement. For your business, AI is best thought of as a very fast, very literal assistant that is brilliant at some things and hopeless at others.
Generative AI
AI that creates new content, text, images, audio, or video, rather than just sorting or labelling existing data. ChatGPT writing an email is generative AI. It is the branch most business owners use day to day.
Large language model (LLM)
The engine behind tools like ChatGPT and Claude. An LLM is trained on huge amounts of text to predict the next word, which is why it is so good at writing and so confidently wrong sometimes. When people say "the model," this is usually what they mean.
Prompt
The instruction you give an AI. The quality of your prompt decides the quality of your result, which is why I keep a library of AI prompts for business owners rather than typing from scratch each time.
Prompt engineering
The skill of writing prompts that get reliably good results. It sounds technical but it is mostly about being specific: giving the AI a role, the context, the format you want, and a constraint. No coding required.
Token
The unit AI uses to read and write, roughly a word or part of a word. It matters for two reasons: tools charge by tokens, and each model can only handle so many at once, which limits how much it can read or remember in one go.
AI agents and automation terms
AI agent
An AI that carries out multi step tasks for you rather than just answering a question. You give it a goal and it works out the steps and uses the tools it has. This is the fastest growing area of AI for business, and I cover it in depth in my guide to AI agents for business.
Agentic AI
The umbrella term for AI that acts with some independence, planning and doing rather than just responding. When you read that "agentic ai" is exploding, it means demand is shifting from AI that talks to AI that does.
Autonomous AI agent
An agent that runs with little or no human input. Powerful, but the one to be most careful with: never let an autonomous agent send messages, spend money, or touch a customer without a human checkpoint until it has earned deep trust.
AI workflow
A repeatable process where AI handles one or more steps. Less glamorous than "agent," and more useful for most businesses. A workflow that turns one article into five social posts is where the real time saving lives.
Automation
Getting software to do a repetitive task without you. AI automation just means the software can now handle tasks that used to need human judgement, like drafting a tailored reply rather than sending a fixed template.
Human in the loop
A setup where a person reviews or approves the AI's work before it goes out. This is the safety pattern I recommend for anything that touches a customer, your money, or your reputation. The AI drafts, you decide.
How AI gets things right and wrong
Hallucination
When AI states something false with total confidence, like inventing a statistic or a source. It is the single biggest risk for business use. The fix is simple: verify anything factual before you publish or send it. Treat AI output as a confident first draft, never gospel.
Training data
The text, images, and other material an AI learned from. It explains the model's blind spots and biases, and why a model has a knowledge cut off date and may not know recent events.
Knowledge cut off
The date after which a model has not learned anything new. Ask about something more recent and it will either say it does not know or, worse, guess. This is why models are increasingly paired with live search.
Fine tuning
Further training a model on your own examples so it behaves more the way you want, for example always writing in your brand voice. Useful at scale, overkill for most small businesses, where a good prompt does the job.
RAG (retrieval augmented generation)
A method that lets an AI look things up in your own documents before answering, so it uses your real information rather than its general training. This is how you build an AI that knows your products, policies, or knowledge base.
Multimodal
An AI that handles more than one type of input or output, for example reading an image and writing about it, or turning text into a video. Most leading models in 2026 are multimodal.
AI in marketing and search terms
AI Overviews
The AI generated answers Google now shows at the top of many searches. They can reduce clicks to websites, which is why being the source the AI quotes matters more than ever.
Generative engine optimisation (GEO)
Optimising your content so AI engines like ChatGPT and Perplexity cite you in their answers. It is the AI era version of SEO. I explain it fully in my guide to what generative engine optimisation is.
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Answer engine optimisation (AEO)
Closely related to GEO, the practice of structuring content so it directly answers questions and gets pulled into AI answers and featured snippets. In short, write the answer first, plainly, so a machine can lift it. See what answer engine optimisation is.
llms.txt
A simple text file on your website that tells AI engines who you are and which pages to cite. Think of it as a robots.txt for the AI era. Most sites do not have one yet, which makes it an easy edge.
Chatbot
An AI you converse with, one question and answer at a time. Useful for support and quick answers, but a chatbot waits for you, where an agent acts for you. Knowing the difference stops you overpaying for the wrong thing.
What these AI terms mean for your business
You do not need to memorise this glossary. You need three things from it. Know that AI hallucinates, so verify anything factual. Know the difference between a chatbot that answers and an agent that acts, so you buy the right tool. And know that AI search is changing how customers find you, so being the source AI quotes is now part of marketing.
Get those three, and the rest of the vocabulary is just detail you can look up, on this page, whenever you need it.
Frequently asked questions about AI terms
What is the difference between AI and generative AI?
AI is the broad field of software doing tasks that used to need human intelligence. Generative AI is the specific branch that creates new content like text, images, and video. ChatGPT writing a post is generative AI. A spam filter sorting your inbox is AI but not generative. For most business owners, "AI" in day to day use now means generative AI.
What is an AI agent in simple terms?
An AI agent is an AI that completes multi step tasks for you rather than just answering a question. You give it a goal, and it works out the steps, uses the tools it has access to, and returns with the job done. A chatbot answers you; an agent acts for you.
What does it mean when AI hallucinates?
Hallucination is when an AI states something false with complete confidence, such as inventing a statistic, a quote, or a source. It happens because the model predicts plausible text rather than checking facts. The practical fix is to verify anything factual before you publish or send it, and to treat AI output as a first draft.
Do I need to understand all these AI terms to use AI?
No. You need three things: know that AI can be confidently wrong so you verify facts, know the difference between a chatbot and an agent so you buy the right tool, and know that AI search now shapes how customers find you. The rest you can look up when a term comes up.
What is GEO and why does it matter?
GEO, or generative engine optimisation, is the practice of structuring your content so AI engines like ChatGPT, Claude, and Perplexity cite you in their answers. It matters because more people now get answers from AI rather than clicking through search results, so being the source the AI quotes is becoming as important as ranking on Google.
The final word
Jargon is often used to make simple things sound hard, usually by people selling something. None of these ideas are beyond you. AI is a fast, literal assistant that is brilliant at some jobs, unreliable on facts, and changing how customers find you. Everything else is detail.
Bookmark this page. Next time a term trips you up in a meeting, you will have the plain English version a search away.
Want this built for you? See common questions about working with an AI consultant.
Work with me
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And if you want help putting these ideas to work in your own business, that is what I do. Details on the work with me page here.
Related reading: AI Prompts for Marketers That Work (With Real Examples, Not Vague Advice) and AI automation for marketing teams, with real examples.
For the bigger picture, see my full guide to AI marketing.
