8 Ways To Automate SEO and Content Tasks With LLMs

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Creating content is the first step—ensuring it meets quality standards is where the real work begins.

Let’s call a spade a spade: SEO and content tasks can feel like monotonous work after a while. Audit, research, recommend, execute, optimize—rinse and repeat. All that manual effort? It makes me want to scream sometimes.

But what if there was a way to automate those tedious workflows with LLMs? Imagine freeing up time to focus on the fun stuff that truly moves the needle.

In this blog, I’ll provide practical tips, tools, and workflows for using LLMs to transform your SEO and content processes.

LLMs are the biggest innovation in search since Google

When I first started experimenting with Large Language Models (LLMs), it became clear that these tools were a seismic shift for SEO. LLMs represent the most significant innovation in search since Google became a household name. 

They’ve reshaped how we approach search engine optimization and unlocked new possibilities for content creation, data analysis, and strategy execution.

A key turning point came when Google openly embraced AI content—as long as it was high-quality, original, and helpful. Suddenly, marketers could lean into automation without fearing a penalty if they adhered to quality guidelines. 

Google accepts AI content if it's high-quality and useful

Tools like ChatGPT, Gemini, and Claude quickly became staples in the marketer’s toolbox, streamlining workflows and improving productivity.

What this means for marketers

For SEO professionals and content creators, LLMs offer many opportunities to eliminate the repetitive grunt work that often wastes our time. These tools have become indispensable for efficiency, from automating content ideation and optimization to performing in-depth data analysis and even managing technical SEO tasks.

However, the fundamental shift is how LLMs are shaping the future of our industry. Many job descriptions now ask for experience with AI and LLMs. 

Screenshot of a Job Description showing that SEO and Content roles now ask for AI and LLM experience

The ability to write prompts, analyze outputs, and integrate AI into existing workflows has become essential. 

The message is clear — you risk falling behind if you’re not leveraging these tools.

Key use cases for LLMs in SEO and content automation

1. Content ideation and creation

Sometimes, coming up with fresh content ideas involves staring at a blank page and waiting for inspiration to strike.

Well, not anymore.

Tools like Chatsonic and Copilot can transform a simple prompt into a wealth of actionable content ideas.

AI tools like MS Copolit, Claude and Chatsonic are great for content tasks

Here’s how these tools can help:

Topic generation:

Input a seed keyword or query, and the tool suggests trending topics and relevant angles. For example, you could prompt an LLM to surface questions people ask about remote work tools or trends.

Outlining:

Title and meta description optimization:

  • Create multiple SEO-optimized variations for title tags and meta descriptions.
  • Provide details like audience, tone, and target keywords, and let the tool generate tailored options.
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