Ep 4.2: LLM, GEO, AEO—What Do All These AI Names Mean? SEO Unfiltered podcast

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Ep 4.2: LLM, GEO, AEO—What Do All These AI Names Mean?

1M ago 10:11

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We remember back in the day when SEO and PPC were just about the only abbreviations we had to worry about, but then came along AI, and boy oh boy, have things gotten just a little bit more alphabetty.

In this episode, Genny’s going to run through the list of the most common AI-related terms that marketers most likely encounter on their mission to maximise their visibility on AI-powered search.

In case you want spoilers, here’s the list:

AI (Artificial Intelligence)

Any technology that simulates human intelligence in machines that allows them to perform tasks like recognise patterns, make predictions, and understand language.

GenAI (Generative AI)

A type of AI that can generate new content, (i.e., text, images, music, or videos) based on its training data. Examples include ChatGPT, MidJourney, and Deepfakes.

GEO (Generative Engine Optimization)

This is the process of optimising web content to maximise your brand visibility in generative AI systems (like ChatGPT) by ensuring your content gets selected as answers in AI-generated responses.

AEO (Answer Engine Optimization)

Synonymous with GEO, AEO focuses on optimizing content so that it appears in AI-generated answers, particularly for Answer Engines.

AIO (AI Overviews)

AIO refers to AI Overviews, those helpful content summaries at the top of Google’s search results, which include a short overview with relevant links.

LLM (Large Language Model)

A type of AI that’s trained on vast amounts of text data that can process and generate human-like language. LLMs like GPT-3 can answer questions, generate text, and more, but they are based on fixed training data (they don’t learn in real time).

NLP (Natural Language Processing)

This is a subset of AI that’s focused on helping machines understand, interpret, and generate human language, e.g., speech recognition, text analysis, and machine translation.

ML (Machine Learning)

Another subset of AI where machines learn from data to recognize patterns and make predictions.

DL (Deep Learning)

A part of machine learning that uses neural networks with multiple layers (hence the term "deep") to process and understand complex data.

AGI (Artificial General Intelligence)

A type of AI that can learn and apply knowledge across various domains, just like humans. Unlike narrow AI, which excels at specific tasks (e.g., chatbots), AGI can perform a wide variety of tasks with human-like reasoning.

Hallucinations (AI Hallucinations)

In this context, hallucinations refer to instances where the model generates incorrect or totally made up information that appears convincing.

GPT (Generative Pre-trained Transformer)

A type of LLM (like ChatGPT), that uses transformer architecture to generate human-like text based on large-scale pretraining. GPT can generate, summarise, or answer questions based on data it has been trained on.

Remember, we’re at the very start of our AI journey, so don't let information overwhelm get in the way of AI adoption!

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