Using AI to help with SEO
This is about the work you do: using AI tools to support research, organise information, draft content or assist with analysis. You still need to check the output, judge whether it is useful and decide what to publish.
A course in this area should show a workflow you can repeat and explain where human review belongs. Speed alone is not a useful measure of content quality.
Optimising for AI search
This is about how people discover you: understanding how your content or brand might appear in answers from AI-powered search experiences. You will see the terms answer engine optimisation (AEO) and generative engine optimisation (GEO) used around this topic.
Course providers use these labels differently. Check the actual lessons for coverage of content, technical access, brand visibility and measurement.
“How can AI help me do SEO?” and “How can my website appear in AI answers?” are different questions. A course may address one, or both.
Traditional SEO still matters
Google’s guidance says that established SEO practices remain relevant to its AI features. A useful learning plan therefore keeps technical foundations and helpful content alongside the newer material.
That does not mean every AI search platform behaves identically. Avoid treating one provider’s advice or one successful test as a universal formula.
Turn the theory into a project
- Choose an existing page or a topic you know well.
- Write down the audience’s question and your current answer.
- Identify what is missing, unclear or unsupported.
- Make a focused improvement and document what changed.
- Review the available performance data over time.
Use the exercise to test whether a course helps you make better decisions. No course can guarantee a ranking or a citation.
Find your learning path ↗