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.

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. 

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. 

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.

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:

• Generate detailed outlines to structure your articles, ensuring comprehensive topic coverage.
• Quickly identify gaps in your content strategy by comparing suggestions with existing content.

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.

2. SEO validation

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

Here’s how these tools can help you maintain high-quality content:

Content quality analysis:

I created a helpful content analyzer that evaluates your pages for alignment with Google’s E-E-A-T (Experience, Expertise, Authority, Trustworthiness) and helpful content standards. It enhances your validation process by identifying gaps and highlighting areas for improvement, such as originality, depth, and user intent alignment.

Error detection:

Identify inconsistencies, missing metadata, or other SEO-related issues affecting your content’s performance. The recommendations ensure your content meets quality benchmarks and excels in competitive search environments.

Core Web Vitals validation:

LLM tools like the Web Performance Engineer GPT can validate your Core Web Vitals metrics, such as page load speed, interactivity, and visual stability. It also provides actionable recommendations to address issues impacting performance.

3. Hub-and-spoke content planning

If you want to cover a topic comprehensively, the hub-and-spoke model is one of the most effective strategies. 

You create a central “hub” article that explores a broad topic. Next, you create detailed “spoke” articles on related subtopics to support the hub. This approach improves internal linking, topical authority, and user experience.

LLMs make it easy to plan and execute this strategy:

• Identify your hub topic: Use Chatsonic to find high-volume keywords and common questions about a central topic.
• Generate spoke ideas: Prompt the tool to suggest related subtopics that naturally connect to the hub.
• Visualize your framework: Use ChatGPT to create a visual map of your hub-and-spoke structure, making it easy to execute and refine.

For instance, if your hub is “remote work tools,” your spokes might include “video conferencing tools,” “project management platforms,” and “file sharing software.” 

4. Click-through rate and traffic forecasting using historical data

Understanding past performance is key to planning for future success. LLMs can streamline this process by analyzing historical data to forecast trends in traffic and click-through rates (CTR).

Here’s how:

Analyze historical metrics:

Upload your CTR, search volume, and historical click data into ChatGPT. Next, ask it to forecast clicks or other data based on the historical data you provide.

Generate traffic forecasts:

Use LLMs to create projections based on your historical performance metrics, highlighting expected traffic fluctuations over the next few months. This helps you set realistic goals and identify peak opportunities for optimization.

Spot opportunities for improvement:

Based on forecasted performance, you can prioritize keywords or content areas likely to drive the most impact. For example, if your data shows that a keyword like “best CRM tools” historically peaks in Q1, an LLM can suggest content optimization opportunities or campaigns to capitalize on that trend.

5. Technical SEO improvement

Technical SEO can be time-intensive, but LLMs provide powerful ways to simplify and optimize these tasks. 

Here are some of the key ways LLMs can improve your technical SEO workflow:

Recommendations for structured data and schema code

LLM tools like Amanda Jordan's Schema Advisor GPT analyze your page content and recommend the most relevant structured data to implement. The tool also generates schema code, allowing you to add structured data without requiring advanced technical skills.

URL navigation structure generation:

Use LLMs to create hierarchical navigation structures for lists of URLs. For example, you can upload a spreadsheet of URLs and prompt the tool to organize them into categories or navigation levels.

Cross-linking suggestions:

LLMs can analyze the semantic relationships between your pages and suggest internal linking opportunities. This ensures your site is interconnected, helping users and search engines navigate effectively.

Canonicalization instructions:

Generate step-by-step instructions for implementing canonical tags, including configurations like HTTP headers. LLMs simplify complex directives, helping you avoid duplicate content issues.

Web performance metrics:

LLMs can analyze additional speed and performance metrics to identify bottlenecks. You also get tailored action plans to improve overall site responsiveness.

6. Competitive research and search intent analysis

Understanding competitors' actions and aligning with search intent is crucial for SEO success. LLMs simplify this process by helping you extract insights, validate content strategies, and uncover untapped opportunities.

Here’s how LLMs can support competitive research and search intent analysis:

Analyze competitor content:

Use LLMs to compare top-ranking pages for your target keywords. Prompt the tool to identify repeated topics, products, or services across competitor content. For example, you can ask, “What are the recurring themes in the top 10 articles for [keyword]?”

Generate unique content ideas:

Instead of duplicating what’s already ranking, prompt the LLM to suggest related topics or angles competitors haven’t covered. It helps you identify gaps and create content that stands out.

Validate search intent:

Use LLMs to check whether similar queries share overlapping results. For example, ask, “Are the same pages ranking for [Query A] and [Query B]?” If there’s significant overlap, a single page may suffice. If not, you might need unique content for each page.

For more scalable search intent analysis, Moz AI offers a dual-layer model that combines machine learning and rules-based systems to classify intent accurately. It identifies whether queries are navigational, informational, commercial, or transactional, helping you align content with what searchers are looking for.

Market-specific content recommendations:

Analyze if different international markets require unique content strategies. Prompt the LLM to identify whether top-ranking pages for a query differ across regions like the US, UK, and Australia.

7. Strategic content creation

You can use LLMs to generate ideas, optimize content, and get SEO recommendations.

Here’s how:

Create unique, optimized titles without duplication

Avoiding duplication is critical for search success. LLMs generate SEO-friendly titles that are unique and aligned with keyword intent.

Generate content ideas from trending videos

Staying ahead in content creation means identifying trending topics before your competitors. Use tools like Video Highlight to extract top-performing video topics and generate ideas tailored to your audience.

Optimize video titles, descriptions, and hashtags

Video Highlight also optimizes YouTube videos by suggesting titles, descriptions, and hashtags. Simply provide details about your video, and the tool delivers tailored options to improve visibility and engagement.

Generate FAQs for products without duplication

FAQs are a great way to address customer concerns and improve search visibility. LLMs analyze top-ranking pages and generate FAQs based on common user queries while ensuring the output doesn’t duplicate existing content.

Develop unique product descriptions

Use LLMs to scale product descriptions. Input key product features, and the tool generates descriptions optimized for user engagement and search engines. This is particularly valuable when differentiating your offerings from competitors.

Get SEO recommendations for e-commerce pages

For e-commerce sites, I created a GPT to provide tailored SEO  recommendations that align with best practices. It reviews the page for technical, content, and UX features.

Use GPTs to find and cite reliable facts

Need credible statistics or insights? Use Consensus GPT to gather facts and cite sources for your articles. It makes it easier to create authoritative, data-led content that resonates with your audience.

8. Automate link building

Link building has always been one of the most time-consuming aspects of SEO, but LLM-powered tools are making it faster and more efficient. 

Here are key use cases for automating link building:

Find relevant experts and influencers:

LLMs can generate lists of experts who frequently publish content on your target topics. For instance, prompt an AI tool to identify authors or researchers who have written about "Remote work" and include their contact details.

Identifying podcasts and YouTube channels:
Discovering niche podcasts or YouTube creators is now easier with LLMs. For example, ask the tool to find popular podcasts discussing "content marketing" or YouTube channels focused on "SEO tactics," enabling targeted outreach for collaborations.

Personalizing outreach emails:
LLMs can automate email personalization by referencing the recipient’s recent work or achievements. For instance, I’ve used LLMs to contact experts and ask for quotes when writing or optimizing content.

While I’ve shared eight ways to automate SEO and content tasks, the possibilities with LLMs are endless. There are tons of GPTs and other AI tools guaranteed to speed up your daily workflow and uncover new efficiencies. For even more inspiration, check out Mike King’s webinar on 101 ways to use AI for SEO—it’s packed with ideas to spark your next breakthrough.