I often find myself overwhelmed by repetitive SEO tasks that eat up valuable time. That’s why I’ve started identifying tasks that can be automated, allowing me to concentrate on strategy, quality assurance, and crucial decision-making.
While tasks like note-taking and setting team reminders are obviously automatable, I’ve discovered that content audits, page outlines, and keyword research can also benefit from automation.
I recommend beginning with basic strategies that help save time on daily repetitive work before diving into more advanced AI tools for automation. It’s essential to conduct a final check personally, as relying solely on AI can sometimes lead to less-than-perfect outcomes.
One way I assess which tasks to automate is by asking myself: Would I assign this task to an intern? Tasks suitable for new employees are often ideal for automation. Whether it’s research or drafting, I let AI handle 70% of it, then I fine-tune the remaining 30% myself.
Some tasks that I’ve found can be automated include data analysis, ensuring best practices are used in updates, creating detailed SEO reports, identifying content gaps, scaling SEO-optimized templates, building editorial calendars, and documenting prompts and standards.
To discover more automation opportunities, I audit existing workflows, review onboarding processes, gather team input on disliked tasks, and explore AI capabilities.
However, automation won’t fix every issue. Core challenges like broken systems, incomplete assets, and a lack of resources still need human intervention.
For instance, I recently automated my team’s content calendar. Using Excel formulas, I quickly identify which content needs updating. By integrating a performance audit with custom AI tools, I can streamline these updates even further.
Similarly, for keyword research, I employ AI to sift through data and generate relevant keywords, saving me valuable time.
For internal linking, tools like Ahrefs can automate the identification of pages that require more links, enhancing site crawling efficiency without manual labor.
By automating outlines and briefs, I ensure consistency and quality across my team’s work, streamlining communication and reducing redundant effort.
On the brand compliance front, custom AI tools help me catch simple errors in high-risk drafts, ensuring they adhere to brand standards before final review.
Manual data validation can be a painstaking process, but with automation, I’m able to swiftly identify and address anomalies in reports, enhancing accuracy.
When it comes to metadata and schema, automating these tasks minimizes errors and ensures that content is optimized for search engines.
Finally, for formatting and shortcoding, I use Excel functions to concatenate code, vastly speeding up what used to be a time-intensive process.
To make automation truly beneficial, it’s critical it complements, rather than complicates, the workflow. Using custom AI solutions allows my team to focus on more impactful, strategic tasks.
Inspired by this post on Search Engine Land.
Leave a Reply