📚 Streamline SEO Keyword Research with AI

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Hello AI Enthusiast,

Today, we're exploring how AI can revolutionize your SEO keyword research process. We'll show you how we used AI tools to discover and analyze keywords for AI Academy, and how you can apply the same techniques to your business.

The Problem

SEO keyword research traditionally involves hours of manual work: brainstorming topics, checking search volumes, analyzing competition, and organizing data. Even with traditional SEO tools, it's time-consuming to:

• Generate comprehensive keyword lists that capture all relevant search intents

• Identify emerging trends and long-tail keywords

• Understand the competitive landscape for each keyword

• Prioritize which keywords to target first

How We Did It Step-by-Step

We'll show you how we combined ChatGPT and Perplexity to streamline our keyword research process for AI Academy's content strategy.

Step 1: Initial Keyword Discovery with ChatGPT

First, we used ChatGPT to generate an initial set of keyword ideas, here’s the prompt:

I run an AI education platform called AI Academy. We offer courses and training about artificial intelligence, focusing on practical applications and business use cases. Help me brainstorm potential SEO keywords and topics, including:
- Main keywords
- Long-tail variations
- Related topics
- Questions people might ask
Organize them by search intent (informational, commercial, etc.)

💡 Try to compare the results of different models. We found o3-mini, with the inclusion of the search functionality, to provide more detailed and complete answers.

This gave us a broad foundation of keywords aligned with different user intents.

Step 2: Trend Analysis with Perplexity

Next, we used Perplexity to understand current trends and validate our keywords through this prompt:

What are the most searched topics and questions about AI education and training in 2025? Focus on business applications and professional development.

Perplexity's real-time data helped us identify emerging trends and validate the popularity of our keyword ideas.

Step 3: Synthesizing Findings with ChatGPT

Later we used ChatGPT to analyze and prioritize our findings from both tools by using this prompt:

I have keyword research data from two sources:
1. Initial keyword ideas: 
[Paste ChatGPT results]
2. Current trends data: 
[Paste Perplexity insights]

Help me:
1. Cross-reference these findings
2. Identify the most promising keywords based on:
   - Search intent alignment with our business
   - Current trending topics
   - Potential business value
3. Group them into primary and secondary keywords
4. Suggest content clusters around the main themes

Format the output as a structured keyword strategy.

This step helped us create a focused list of keywords that combines market research with current trends.

Step 4: Competitive Analysis with AI

We then used a prompt in ChatGPT to analyze the competitive landscape:

For these keywords related to AI education, help me understand:
- Approximate difficulty to rank
- Types of content currently ranking
- Content gaps or opportunities
Base your analysis on SEO best practices.

Then, based on your analysis, give me a shortlist of 15 keywords to target

Keywords:
[Paste here the keywords]

Step 5: Content Planning and Optimization

Finally, we created a content strategy based on our findings:

Help me create a 3-month content calendar targeting these keywords:
[Selected keywords]
Include:
- Content types (blog, guide, video)
- Main topics to cover
- Key points to address
- Meta title and description templates

Results We Achieved

Using this AI-powered approach, we:

• Generated 200+ relevant keyword ideas in under an hour

• Identified 15 high-potential, low-competition topics

• Created a structured content plan targeting different search intents

• Discovered emerging AI education topics we hadn't considered

Your Turn

Ready to enhance your SEO strategy with AI? Here's a practical exercise to get started:

1. Choose your main business topic or service

2. Use our prompts with ChatGPT to generate initial keyword ideas

3. Validate trends with Perplexity

4. Create a prioritized list of keywords to target

5. Develop a basic content calendar

💡 Pro Tip: Want to scale this process? Consider turning it into a reusable tool by creating a Custom GPT specialized in keyword research, combined with a structured spreadsheet template. You could even automate the workflow using tools like Make or Zapier to streamline data collection and reporting. This setup could save you hours on future keyword research projects while ensuring consistency in your process.

Want to get even more practical? Explore hands-on AI learning with AI Academy:

• AI Academy Membership: Get 12-month access to live webinars, bootcamps, mini courses, and AI challenges.

• Generative AI Project Bootcamp: Create AI prototypes to solve real business problems.

• Corporate Training: Tailored AI training for your team.

• Practical Introduction to ChatGPT: Free course on effectively using ChatGPT.

We'll be back with more AI tips soon!