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The A-Z of AI acronyms that marketers must know

With AI evolving at a rapid pace across all disciplines, keeping up with these new terms and staying engaged with the conversation is crucial. Fear not, our Luminary team members speak fluent tech and are here to clear up any acronym confusion and give you the only glossary you need as a digital professional.

Claire Dunton
Claire Dunton

27 April 2026

5 minute read

We’ve all been there. Reading an article, catching up on a discussion thread… or worse, in a meeting when you come across an acronym you can’t decode. As if multiplying overnight, our digital lives are snatching every letter in the alphabet to put together acronyms that are supposed to save time. Oftentimes, they have the opposite effect, especially now that AI has come to the party with a whole band of new acronyms that we need to understand before we can even think about deploying. With AI evolving at a rapid pace across all disciplines, keeping up with these new terms and staying engaged with the conversation is crucial.

Fear not, our Luminary team members speak fluent tech and are here to clear up any acronym confusion and give you the only glossary you need as a digital professional.

Marketing and SEO 

Beyond keywords and backlinks, here is how AI is changing how brands are discovered and "read" by machines.

AEO (Answer Engine Optimisation): Similar to Generative Engine Optimisation (GEO), but specifically focused on providing direct, concise answers that voice assistants and AI ‘snippets’ can grab immediately.

AIO (Artificial Intelligence Optimisation): An umbrella term for making a website ‘machine-readable’ so AI models can easily scrape, understand, and recommend your products without hallucinating.

AISEO (AI-powered Search Engine Optimisation): The use of AI to automate the tedious parts of traditional SEO – like real-time meta-tag generation, internal linking, and predicting search intent.

AMP (Automated Marketing Personalisation): Using AI to dynamically change website copy, email subject lines, and ad creative for every individual user in real-time. 

ASO (Agentic Search Optimisation): The next evolution of GEO. It focuses on how your brand appears when an autonomous AI agent (like a shopping bot or a research agent) ‘browses’ the web to make a decision or purchase for a user.

GEO (Generative Engine Optimisation): GEO is the ‘new SEO’. It’s the practice of optimising your brand’s content so that AI models (like Gemini or Search Generative Experience) cite you as a source in their generated answers.

SGE (Search Generative Experience): Google’s specific AI-integrated search results. Marketers now track ‘SGE visibility’ instead of just 'blue link’ rankings.

Design and UX

Master the acronyms turning static interfaces into living human-machine experiences.

AIX/AX (AI Experience Design): An emerging design branch that focuses on the specific friction points of AI, such as ‘latency’ (waiting for a generation) and ‘transparency’ (telling the user why an AI made a certain choice).

CVA (Conversational Virtual Assistant): The technical term for advanced, ‘agent-like’ chatbots that use natural language processing to handle multi-step user requests within a product.

HITL (Human-in-the-Loop): A core UX principle where the AI performs a task (like generating a layout) but a human must approve or edit it before it goes live. This is the gold standard for responsible AI.

LVM (Large Vision Model): While LLMs handle text, LVMs are the backbone of tools like Midjourney or Canva’s Magic Studio – essential for designers to understand ‘image-to-image’ or ‘text-to-image’ capabilities.

Strategy

Navigating the shift from ‘using AI tools’ to becoming an ‘AI-integrated’ organisation is key, and here are some high-level terms to get you on the right track.

AGI (Artificial General Intelligence): The ‘holy grail’AI that can perform any intellectual task a human can. It's still mostly theoretical, but heavily discussed in long-term strategy.

CAIO (Chief AI Officer): A new C-suite role appearing in 2025–2026 that bridges the gap between Marketing (CMO) and Technology (CTO) to oversee AI integration.

GenAI (Generative AI): The umbrella term for AI that creates (text, images, video) rather than just classifying.

HAM (Human-Augmented Marketing): A strategy that explicitly balances AI speed with human oversight to avoid ‘Slop’ (low-quality, generic AI content that hurts brand trust).

LLM (Large Language Model): The engine (like GPT-4, Claude 3, or Gemini) that powers the AI.

LLMS (Large Language Model Strategy): A company’s formal plan for which AI models they use, how they train them on ‘brand-safe’ data, and how they ensure the AI doesn't leak company secrets.

RAG (Multimodal Retrieval-Augmented Generation): Marketers use this to connect an AI to their entire brand history – videos, PDFs, brand voice guides, and past performance data – so the AI can generate new content that is 100 percent on-brand.

SLM (Small Language Model): The ‘hot’ trend for 2026. These are tiny, fast AI models that run locally on a phone or laptop rather than in a massive, expensive data centre.

Development

Understand the logic required to turn AI power into a functional application in all areas of your brand and business. 

API (Application Programming Interface): While not new, in 2026 it almost always refers to ‘LLM APIs’, which developers use to ‘plug’ intelligence into their own apps.

JSON (JavaScript Object Notation): In an AI context, ‘JSON output’ is a huge deal. It means the AI is forced to respond in a structured format that a website or app can actually use, rather than just ‘chatting’.

JSON.md: is a markdown file, typically used in documentation or technical repositories, that provides information about JSON data structures, schema definitions, or examples. It is often used in GitHub repositories, wikis, or API documentation to document configuration files or API responses.

LRM (Large Reasoning Model): A newer class of models (like OpenAI's o1 series) designed to ‘think’ and ‘plan’ step-by-step before outputting code or logic, rather than just predicting the next word.


Now, how many of those did you know? Whether you ranked as a robo-rookie or you're one prompt away from being a language model yourself - there is always time to learn the terms and apply them. Acronyms will continue to evolve, but the goal remains the same: using technology to be more human. Whether you’re hiring a CAIO or implementing RAG, remember that these tools are here to complement your creativity, not replace it!

Claire Dunton
Claire Dunton

27 April 2026

5 minute read

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