Glossary · Adjacent
AI Marketing
The use of artificial intelligence across marketing — content, personalization, analytics — and, increasingly, marketing to the AI engines that now recommend brands.
Where AI shows up in marketing
Create
content & assets
Personalize
to each buyer
Analyze
what's working
Get recommended
by AI engines
AI marketing is the use of artificial intelligence across the marketing function — from generating content to personalizing messages, predicting behavior and automating campaigns. A newer frontier sits alongside it: marketing to the AI engines that now recommend brands to buyers directly.
AI as a tool
For most teams, AI marketing first means using AI to do familiar work faster and at larger scale. That spans a wide surface of tasks, and the tools now touch nearly every stage of the funnel:
- Content generation — drafting copy, creative and variations from a brief.
- Personalization — tailoring messages, offers and journeys to each buyer.
- Predictive analytics — forecasting behavior, churn and lifetime value.
- Ad targeting — matching creative to audiences and optimizing spend.
- Chatbots & support — answering questions and qualifying leads in real time.
- Automation — orchestrating campaigns and workflows with less manual effort.
Marketing to the AI itself
The second, newer sense reverses the direction. As buyers ask assistants like ChatGPT and Gemini “what’s the best tool for X?”, the model — not a ranked list — decides which brands to name. That makes the AI engine an audience you can market to, through the practices of Answer Engine Optimization and Generative Engine Optimization: earning the credibility and clarity that lead a model to surface you.
Why both sides matter
The two senses reinforce each other. AI-assisted production lets you create the clear, credible, well-structured content that language models find easy to cite — so the same work that makes your team faster also makes you more likely to be recommended. Treating AI purely as a content factory, while ignoring how AI engines describe you, leaves half the opportunity on the table.
Keeping it grounded
AI marketing attracts a lot of hype, so it’s worth being plain about what it is: a set of tools and practices, not magic. The tools help you produce and target work; the newer discipline helps you earn a place in AI answers. Both are measurable, and both are most useful when tied to concrete outcomes rather than treated as ends in themselves.
Frequently asked
- What counts as AI marketing?
- Any use of artificial intelligence in the marketing workflow: generating content and creative, personalizing messages to each buyer, predictive analytics, ad targeting, chatbots and customer support, and campaign automation. Increasingly it also includes optimizing for the AI engines that recommend brands to buyers.
- How is 'marketing to AI' different?
- Most AI marketing treats AI as a tool that helps you produce and target work faster. 'Marketing to AI' flips the relationship: the AI engine is now an audience. Because assistants recommend brands directly, you optimize so that ChatGPT, Gemini and AI Overviews surface and describe you accurately — the discipline known as AEO or GEO.
- Is AI marketing just chatbots?
- No. Chatbots are one visible application, but AI marketing spans content generation, personalization, predictive analytics, targeting and automation across the whole funnel — and now the emerging work of earning visibility inside AI answers. Reducing it to chatbots misses most of where it operates.