Revolutionize SEO: ChatGPT Keyword Clusters

Last updated: Jun 28, 2023

This video is about keyword clustering and different approaches to extracting keywords for SEO, specifically focusing on the topic of AI-generated art. The video demonstrates how to use the SEO Dominion plugin to collect keywords from the "People Also Ask" section on Google and then use ChatGPT to cluster and categorize those keywords into groups based on their semantic relationships.

This video by WordsAtScale was published on Apr 2, 2023.
Video length: 15:25.

This video is about keyword clustering and different approaches to extracting keywords for SEO.

The speaker discusses the importance of topic authority and building high authority websites. They demonstrate how to use the SEO Dominion plugin to extract keywords from the "People Also Ask" section on Google. They then explain two approaches to keyword clustering: top-down and bottom-up.

The speaker provides examples of organizing keywords into groups based on their semantic relationships and assigns short names to each group.

  • Google values topic authority and bloggers are moving towards building high authority websites.
  • Keyword clustering is important for organizing and categorizing keywords.
  • There are different approaches to extracting keywords for clustering.
  • One approach is to use keyword tools like Judge Beauty and Ahrefs.
  • Another approach is to use the SEO Dominion plugin to collect keywords from the "People Also Ask" section on Google.
  • The SEO Dominion plugin clicks on the "People Also Ask" section on Google and collects the data into a CSV file.
  • You can choose the number of levels to click and collect keywords.
  • The plugin collects around 90 keywords for the chosen topic.
  • Copy the collected keywords and use them for clustering.

Revolutionize SEO: ChatGPT Keyword Clusters - YouTube

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Approaches to Keyword Clustering

  • Google values topic authority and bloggers are moving towards building high authority websites.
  • Keyword clustering is important for organizing and categorizing keywords.
  • There are different approaches to extracting keywords for clustering.
  • One approach is to use keyword tools like Judge Beauty and Ahrefs.
  • Another approach is to use the SEO Dominion plugin to collect keywords from the "People Also Ask" section on Google.
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Using SEO Dominion Plugin for Keyword Clustering

  • The SEO Dominion plugin clicks on the "People Also Ask" section on Google and collects the data into a CSV file.
  • You can choose the number of levels to click and collect keywords.
  • The plugin collects around 90 keywords for the chosen topic.
  • Copy the collected keywords and use them for clustering.
  • The plugin allows you to collect up to a thousand words using this approach.
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Top-Down and Bottom-Up Approaches to Clustering

  • The top-down approach involves asking ChatGPT to come up with subheadings and categories based on the seed keyword or topic.
  • In the top-down approach, keywords are assigned to the categories created by ChatGPT.
  • The main advantage of the top-down approach is that it helps exhaust the niche topic-wise.
  • The bottom-up approach involves having keywords and asking ChatGPT to come up with categories based on those keywords.
  • The bottom-up approach provides more accurate data for the keywords.
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Revolutionize SEO: ChatGPT Keyword Clusters - YouTube

Example of Clustering Keywords with ChatGPT

  • The example prompt is to organize keywords into five groups based on their semantic relationships.
  • Short names are given to each group for easier categorization.
  • The keywords are pasted into ChatGPT for clustering.
  • The resulting groups include categories like AI definition and characteristics, AR platforms and generators, AI art legality and ethics, Dolly and Open AI, and AI art and NFT.
  • The clustering helps organize the keywords into meaningful groups.
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Keyword Clustering and Grouping

  • Use the SEO Dominion plugin to collect keywords from the "People Also Ask" section on Google.
  • Use ChatGPT to cluster and categorize those keywords into groups based on their semantic relationships.
  • Check for outliers or keywords that do not belong to any of the groups.
  • Repeat the prompts using different numbers to assign keywords to specific groups.
  • If there are unassigned keywords, create a new group for them.
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Creating Categories for Miscellaneous Keywords

  • If there are keywords that do not fit into any of the existing groups, create a separate category for them.
  • Consider giving a name or category name for the words under the miscellaneous category.
  • Ensure that all keywords are properly assigned to relevant groups.
  • Avoid creating too many separate groups and try to group keywords better.
  • Review and revise the keyword clustering to optimize the categorization process.
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Generating Keyword Clusters for AI-Generated Art

  • Use the prompt "What are the most popular subtopics for the topic of AI-generated art?"
  • Keywords and subtopics identified include style transfer, generative adversarial networks, neural style algorithms, AI-assisted art creation, AI-curated art and exhibitions, AI collaborations, art and AI ethics, and AI-generated music and performance.
  • Consider the specificity of the topic and adjust the prompt accordingly to focus on AI-generated digital art or art in general.
  • Tailor the keyword clusters based on the target audience, whether it is consumers or artists.
  • Experiment with different prompts to generate keyword clusters that align with the desired niche or target audience.
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Approaches to extracting keywords for SEO

  • Keywords for AI-generated art niche include photo filters, sketching tools, style transfer, caption generators, music visualizers, and editing tools.
  • The bottom-up approach is preferred for this niche.
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Using ChatGPT to cluster keywords

  • Use the SEO Dominion plugin to collect keywords from the "People Also Ask" section on Google.
  • Cluster and categorize the keywords using ChatGPT based on their semantic relationships.
  • Both the top-down and bottom-up approaches have merits.
  • If there are missing keywords for certain categories, go with the bottom-up approach.
  • Generate a table based on the keyword groups and their assigned categories.
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Identifying keyword overlap

  • Ask ChatGPT about the overlap between keywords to avoid duplication and cannibalization in article writing.
  • Create a final table that excludes overlap and ensures all keywords are assigned to appropriate groups.
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Filtering keywords based on potential

  • Filter keywords based on their potential using tools like KGR and Keyword Chef.
  • Target keywords that have Quora and Reddit rankings on the first page.

Watch the video on YouTube:
Revolutionize SEO: ChatGPT Keyword Clusters - YouTube

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