Generative AI

AI & Generative Search

Also: GenAI · Generative Artificial Intelligence

What it isAI that creates new text, images, audio, video

ExamplesChatGPT, Midjourney, Gemini, Sora

Marketing useContent, creative, personalisation at scale

Quick definition

Generative AI is a category of artificial intelligence that creates new content rather than just analysing existing content. Give it a prompt and it produces text, images, audio, video or code that did not exist before. It covers the large language models behind ChatGPT and Gemini, the image tools like Midjourney and the growing set of video and audio generators.

Where it shows up in the data

Prompt

The instruction you give the model. The quality of the output depends heavily on the quality and specificity of the prompt, which is why prompting has become a real skill.

Modality

The type of content generated: text, image, audio, video or code. Multimodal tools handle several at once, for example describing an image in words or generating video from a script.

Human in the loop

The practice of keeping a person reviewing and editing AI output before it ships. It is the single biggest factor separating teams that benefit from generative AI from teams it embarrasses.

What it actually means

Generative AI learns the patterns in a large body of examples and then produces new work in the same style. A language model learns from text and writes. An image model learns from labelled pictures and generates images from a description. The output is new, which is what separates generative AI from the older analytical AI that only classified or predicted from existing data. For marketing this is a production revolution. The cost and time to make a first draft, a variant, an image or a translation has collapsed. The consequence is that raw production is no longer a competitive advantage. Taste, strategy, distribution and trust are.

Generative AI lowered the cost of making content to almost zero. That makes the scarce thing judgement, not production.

Where people get this wrong

Using it to scale volume instead of qualityMore content is not the goal. Generative AI makes it cheap to flood your channels with forgettable work. The advantage goes to teams that use the saved time on judgement, not output.

Skipping human review to save timeThe time saved evaporates the first time an unchecked claim, a fabricated stat or an off-brand line goes public. Keep a person between the model and the audience.

Treating every task as an AI taskSome work benefits from AI and some is degraded by it. Original strategy, sensitive customer messages and anything requiring real accountability are usually better done by a person.

Common questions

What is the difference between generative AI and a large language model?

A large language model is one type of generative AI that works with text. Generative AI is the broader category that also includes image, audio and video tools. Every LLM is generative AI, but not all generative AI is an LLM.

Is it safe to use generative AI for marketing content?

Yes, with a process. Use it for drafts, variants and analysis, then have a person check facts, add real insight and enforce brand voice before anything is published.

Will generative AI replace marketers?

It replaces the production bottleneck, not the judgement. The parts that matter most, strategy, taste, distribution and trust, are the parts it cannot do on its own.

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About New Rebellion

New Rebellion is a marketing intelligence consultancy. We build tools, score Australian businesses on how their marketing actually performs, and publish Debrief every day. This dictionary is part of how we work in the open.

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