Artificial intelligence (AI) is the broad name for computer systems that carry out tasks we would normally expect to need human judgement, such as recognising patterns, making predictions, understanding language and producing text or images. In marketing, the term covers everything from the systems that set your ad bids to the tools that draft an email.
How artificial intelligence works
Most of the AI a business meets today is machine learning: instead of following rules a programmer wrote, the system learns patterns from large amounts of example data and applies them to new cases. A few layers sit inside that:
- Predictive models estimate an outcome, such as how likely a click is to lead to a sale. Ad platforms run these on every auction.
- Deep learning uses large neural networks, loosely inspired by how brain cells connect, and handles messy inputs such as images, speech and free text.
- Generative AI produces new content. Large language models are the text version, trained on huge amounts of writing to predict which words should come next and then tuned to follow instructions, which lets them draft, summarise, translate and answer questions.
None of these systems understands the world the way a person does. They are very good at patterns in their training data and can be confidently wrong outside it. A language model that produces a plausible but false statement is said to be hallucinating, and it does so in the same fluent tone it uses when it is right.
Where AI shows up in marketing
- Paid advertising: automated bidding, audience expansion, campaign types such as Performance Max and Advantage+, and automatically assembled ads.
- Search: Google uses AI to interpret queries and rank results, and AI Overviews and AI Mode now answer many questions directly on the results page. Assistants such as ChatGPT, Gemini, Perplexity and Claude also answer questions that used to start with a search.
- Content and creative: drafting copy, producing images and video, and repurposing one piece across channels.
- Customer contact: chatbots, voice agents and email tools that personalise send times or content.
- Analytics: anomaly alerts, predictive audiences and modelled conversions that fill gaps left by consent choices.
Why it matters
For a UK business, AI is already part of your marketing whether or not you use an AI tool yourself, because the platforms you advertise on and the search engines customers use are built on it. The practical consequence is that the quality of what you feed those systems matters more than ever: accurate conversion tracking, clear website content and well-organised product data are what the algorithms learn from.
The UK has no single AI Act. At the time of writing (October 2026), the government’s approach relies on existing regulators applying shared principles in their own areas: the ICO for personal data, the CMA for competition and consumer protection, the ASA for advertising and the FCA for financial services. The law you already follow still applies when AI is involved. Whenever personal data goes into an AI tool, UK GDPR applies in full, and the ICO publishes guidance on AI and data protection covering lawful basis, transparency, accuracy and decisions made about people by automated means.
Common mistakes
- Publishing AI-generated copy or claims without a person checking the facts.
- Pasting customer lists or enquiry details into a consumer AI tool without checking where the data goes or whether it is used for training.
- Treating platform automation as a replacement for clean tracking, when it depends on it.
- Buying an AI tool to solve a problem nobody has defined.
- Assuming AI content is either banned by Google or guaranteed to rank. Google judges content on whether it is helpful, not on how it was produced.
How to act on it
List where AI already touches your marketing, including the automated features in your ad accounts, and check each one is fed accurate data. Then pick one or two tasks where AI could save real time, such as first drafts or report summaries, and set a rule that a person checks every output.
Write a short policy on what data staff may put into AI tools, and update your privacy notice if customer data is processed by an AI supplier. Finally, check how your business appears in AI answers by asking the main assistants the questions your customers ask. Making sure AI systems can find and accurately describe your business is the focus of my AI search optimisation work.