“Quick one — what does LLM stand for again?”
That was the comment that kicked it off. A simple question dropped into a LinkedIn post about AI tools, but it lit up a whole thread of AI acronym head-scratchers: LLM, NLP, RAG, NLG, GEO…
So, like any good marketers who love to give insights (especially when the jargon gets wild), we thought we’d sit down and make some sense of the most-used AI acronyms — the ones that are actually worth knowing if you want to understand AI.
AI – Artificial Intelligence
Let’s start with the big one.
AI is the broad term for machines doing things that normally require human intelligence — think learning, reasoning, creating, or even holding a decent(ish) conversation.
In our world, that might look like AI writing social copy, recommending products, segmenting audiences, or generating campaign ideas.
ML – Machine Learning
This is a branch of AI where systems learn from data to make predictions.
For example, you don’t hardcode what a “high-value customer” looks like — you feed the machine loads of behaviour data and it figures that out for you.
It’s behind ad bidding strategies, predictive text, and smart segmentation tools. Magic (but also maths).
LLM – Large Language Model
This was the AI acronym that started it all.
An LLM is a type of AI trained on enormous amounts of text, capable of generating convincing, human-sounding responses. Think ChatGPT, Claude, Gemini, etc.
They don’t “think” like humans, but they’re great at predicting language and sounding fluent — making them super useful for content, comms, and customer support.
NLP – Natural Language Processing
This is what helps machines understand language — whether that’s written or spoken.
It powers everything from spam filters and voice search to social listening tools and chatbots.
Basically, if your AI tool is “reading” or “listening,” NLP is behind it.
NLG – Natural Language Generation
NLP’s creative cousin.
This is about the AI writing things — blog intros, product descriptions, ad copy, chatbot replies.
It takes structured data or prompts and turns them into human-readable content. Some of it’s even pretty good. (We’re not biased, promise.)
RAG – Retrieval-Augmented Generation
One for the slightly more techy folk.
RAG is a method where the AI pulls in relevant information (from documents, websites, databases) before answering your question.
So instead of just guessing based on what it was trained on, it checks your sources first. It’s how you get smarter, more accurate AI responses — especially for internal knowledge or niche industries.
GAI / GenAI – Generative AI
You’ll see both AI acronyms flying around.
They refer to AI that doesn’t just analyse or predict — it creates: text, images, code, video, music.
This is the umbrella term for all the “make something new” tools we’re seeing everywhere right now — from Canva’s Magic Write to image generators like Midjourney or Runway.
Agentic – AI That Acts (Not Just Answers)
No, not an AI acronym, but this one’s popping up more and more, especially in future-focused AI circles.
“Agentic” refers to AI systems that don’t just respond to prompts — they take initiative, pursue goals, and string together actions to get something done.
Think of it like this: instead of asking a chatbot to “write me an email,” an agentic AI might say, “I noticed a drop in sales — shall I draft a campaign, segment the audience, and schedule a follow-up?” (…and then actually do it.)
Agentic AI blends generation, decision-making, and automation — and it’s where things start to feel a bit more like working with a digital colleague than a clever tool.
⚠️ It’s early days — we’re still figuring out how much autonomy we actually want to give these tools. But for marketers, it signals a shift from assistants to agents.
These AI acronyms talk about How AI works – here is how the elements hang together:
But what about the AI acronyms that are used for AI Marketing?
GEO – Generative Engine Optimisation
This one’s still emerging, but you’ll hear more of it.
GEO is like SEO for the age of AI-driven search. It’s about making sure your content is visible to — and quoted by — AI tools that answer questions, like ChatGPT or Google’s Search Generative Experience.
It flips the old playbook: instead of just ranking for keywords, you’re aiming to inform the bots so they reference you when they generate answers.
AEO – Answer Engine Optimisation
Closely linked to GEO.
AEO focuses on optimising content for direct-answer platforms — voice assistants, smart devices, AI snippets.
It’s not about being clicked, it’s about being heard or quoted. A shift in thinking for content strategists, for sure.
AISEO – AI Search Engine Optimisation
Is essentially the combination of GEO and AEO.
To be honest, the name hasn’t even settled yet (even we have called it various names, such as SXO over the last year!), but we’re adopting AISEO for now to explain the additional layer required to be cited in the AIs.
SEO – Transforms from “Search Engine Optimisation” to “Search Everywhere Optimisation”
SEO has always been about ranking for listings in the Search Engines, Google, Bing etc. SEO techniques still (mostly) constitute core best practise, and now marketers layer on new, more advanced techniques for the AI Answer Engines as the way people search for information fragments.
Search Everywhere Optimisation becomes Traditional SEO + AISEO + XXSEO that we haven’t even thought of yet : WSI AdaptiveSEO®
Think same discipline. New requirements. New techniques.
E-E-A-T – Experience, Expertise, Authoritativeness, Trustworthiness
OK, not just an AI term, but it matters even more now.
Search engines — and increasingly, AI tools — use these signals to determine whether your content is credible and worth sharing.
The rise of AI-generated fluff makes E-E-A-T even more important: showing actual experience and authority (not just bland text) helps you stand out in a sea of sameness.
AI Washing
Not an AI acronym, but one we’ve both groaned about.
It’s when companies slap “AI” on everything to sound trendy, even if their tech isn’t really intelligent.
A bit like “gluten-free” on bananas — technically true, totally pointless. We’ll be calling it out where we see it.
Final Thoughts (for now)
We’re not fans of jargon for jargon’s sake. But these AI acronyms? They’re sticking around — and they’re worth knowing if you’re using, buying, or building with AI in your marketing stack.
So next time someone drops “LLM” into conversation, you’ll know exactly what they mean – and maybe you can even throw in a bit of RAG or GEO chat for good measure. 😉
Want to learn more? Take a look at our range of AI courses – designed for business people, not techies.
