AI

Artificial Intelligence

Artificial intelligence is software that performs tasks normally requiring human judgement, such as recognising language, images or patterns.

In detail

In marketing, "AI" almost always means machine-learning systems trained on large datasets: language models that generate and summarise text, and ranking or bidding systems that predict outcomes.

It is not a single product. Google Ads bidding, an AI answer in search results and a chat assistant are three different applications of the same broad family of techniques.

Example

A smart bidding strategy predicting which clicks are likely to convert is AI; so is a search engine writing a summary of ten pages.

Why it matters

Knowing which kind of AI is involved tells you what you can actually influence — the training data, the prompt, or the source content being summarised.

Common mistakes

  • Treating "AI" as one product with one optimisation strategy.
  • Assuming AI output is factual without checking the source.

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Related guides

  • The Complete AI SEO Guide
    Guide

    How to stay visible when answers are generated: retrievability, answer-shaped content, entities, structured data, and honest measurement.

Related terms

  • Generative AI

    Generative AI is a model that produces new content — text, images, code or audio — rather than only classifying existing data.

  • Large Language Model (LLM)

    A large language model is a generative model trained on very large amounts of text to predict and produce language.

  • AI Search

    AI search is any search experience where a generative model answers the query directly instead of only listing links.

  • AI SEO

    AI SEO means adapting search work to a results page where AI answers appear, and using AI responsibly in the work itself.

Related questions

  • How does AI affect SEO?

    AI answers change how results are consumed rather than how pages are assessed. An AI summary can answer a question directly, so fewer people click through for simple informational queries.