Look over your SEO task list. Chances are, much of it consists of the same routine, repetitive work. With AI, turning those everyday tasks into faster, simpler outputs is more achievable than ever. Beyond obvious uses like taking notes and sending team reminders, you can automate jobs such as content audits, page outlines, and keyword research. Begin with straightforward tactics that cut time on the daily busywork, then gradually expand into more advanced AI-driven automation. Always perform a final human review instead of relying entirely on LLMs, which often miss details or make small errors.
Identify automation opportunities
A quick way to decide what to automate is to ask: Would I hand this to an intern? Tasks you’d comfortably assign to a new hire are usually perfect candidates for automation. Let the intern (or AI) handle about 70% of the effort — research, initial analysis, and a rough draft. Then you take care of the remaining 30% by giving feedback (or refining your prompts), polishing the work, and publishing the final version.
Looking at a typical SEO intern job description, here are examples of tasks that lend themselves well to automation:
- Analyze data and surface trends in traffic, engagement, and rankings/visibility.
- Check that SEO best practices are followed when content is updated.
- Produce detailed SEO performance reports, including trends and recommendations, for stakeholders.
- Spot content gaps and detect duplicate content.
- Scale SEO-optimized templates across multiple series or topic clusters.
- Develop an editorial calendar and distribute the strategy playbook.
- Document prompts, templates, and QA guidelines.
Additional ways to uncover automation opportunities include: auditing your…