How To Do SEO Keyword Research With Perplexity | Get Endless Content Ideas

Summary

This tutorial provides a simple yet effective keyword research strategy using Perplexity, an AI-powered search engine. Viewers will learn to generate a list of relevant keywords, including longtail variations, monthly search volumes, and cost-per-click data, which are crucial for improving SEO and driving organic traffic. The video emphasizes the importance of using natural language processing keywords and finding frequently asked questions to guide content creation. By organizing this data into a structured CSV format using ChatGPT, users can efficiently generate valuable content that aligns with user intent, maximizing their website's visibility and engagement.

Takeaways

• 😀 Perplexity is an AI-powered search engine that can effectively aid in keyword research, providing a comprehensive list of relevant keywords.
• 😀 This strategy allows you to gather longtail keywords, which are less competitive and often have higher conversion rates.
• 😀 Utilizing NLP (Natural Language Processing) keywords can help capture conversational queries, improving your content's visibility in voice searches.
• 😀 Frequently Asked Questions (FAQs) about a keyword can be easily identified through both Perplexity and Google searches, providing great content ideas.
• 😀 Semantic keywords and related terms can uncover additional relevant topics that may not be immediately obvious.
• 😀 The process is cost-effective compared to traditional tools like SEMrush or Ahrefs, which can be prohibitively expensive.
• 😀 A CSV file can be generated from the gathered keywords using ChatGPT, streamlining the organization of your keyword research.
• 😀 Uploading the CSV file to Google Sheets allows for easier manipulation and analysis of your keyword data.
• 😀 This method encourages the recycling of prompts to uncover even more keyword ideas as your content strategy evolves.
• 😀 High-quality content is prioritized over strict keyword adherence, as Google values informative and relevant material that meets user intent.

Q & A

What is the main goal of the keyword research strategy presented in the video?

The main goal is to generate a comprehensive list of relevant keywords, their monthly search volumes, and cost per click values to help improve SEO and drive organic traffic to a website.

Why is Perplexity considered a valuable tool for keyword research?

Perplexity is an AI-powered search engine that provides effective and user-friendly keyword research options, making it a cost-effective alternative to more expensive tools like SEMrush and Ahrefs.

What types of keywords should users focus on during their research?

Users should focus on main keywords, longtail keywords, natural language processing (NLP) keywords, frequently asked questions (FAQs), and semantic keywords to cover various aspects of user search intent.

How does the tutorial suggest generating longtail keywords?

The tutorial suggests entering prompts into Perplexity that ask for detailed longtail keywords related to a primary keyword, allowing the AI to understand context and provide relevant suggestions.

What is the importance of NLP keywords in the research process?

NLP keywords are important because they reflect how users typically phrase their queries in conversational language, which is increasingly used in voice search and can enhance content relevance.

How can users find frequently asked questions related to their keywords?

Users can find FAQs by typing their keywords into Google and checking the 'People also ask' section, or by using a website called 'People Also Ask' to see questions that users are searching for.

What should users do with the keywords and data they gather?

Users should organize the gathered keywords into a structured format, such as a CSV file or Google Sheet, to facilitate content creation and ensure they address user search intent.

What additional step is recommended for refining the keyword list?

The video recommends using ChatGPT to organize the keyword data and create a CSV file that preserves important information like search volume and competition level.

What approach does the presenter suggest for writing content based on the researched keywords?

The presenter suggests that users can write content by focusing on providing value to the reader, answering their questions, and using the researched keywords naturally within the content.

How does the tutorial address concerns about AI-generated content and SEO ranking?

The tutorial emphasizes that Google prioritizes the quality of content over its generation method, meaning that if AI-generated content addresses user needs and adds value, it can rank well in search results.