How to use llms for competitive research and gap analysis

How to use llms for competitive research and gap analysis

Collect Competitor URLS Using Moz Site Crawl or a Sitemap Export. Next, important the urls into google sheets and apply the same GPT formula used for your site.

=GPT("Based on the string provided, assign it to one of these themes: 
'Dog Health', 
'Dog Recipes', 
'Dog Behavior',
'Dog Breed', 
'Seasonality/Events',
'OTHER', 
Use the examples as a guide but return only the theme name in a concise form, without any additional text. Examples: 
\nString: 'overweight-dogs' - Theme: 'Dog Health'
\nString: 'chihuahua' - Theme: 'Dog Breed'
\nString: 'how-to-help-a-hyper-nervous-badly-behaved-dog' Theme: 'Dog Behaviour'
\nString: 'how-can-i-encourage-my-fussy-dog-to-eat' - Theme: 'Dog Behaviour'
. Output only the theme name, without any prefix or quotes. Now, analyze this string: '" & A2)  

It Categorized Each Competitor Page Into Themes Like Dog health, dog recipes, and Seasonality/Events.

Count content by theme

Once you’ve tagged the competitor’s content, count how many articles they have for even theme using this formula in Google Sheets:

COUNTIF(C:C, G4)    

In this formula:

  • C: c is the competitor’s theme column
  • G4 is the specific theme you want to count, like Dog health

It Gave Me a Quick Count of How many Pages Each Competitor Had Under Each Theme, Highlighting where they were more active than pooch & mutt.

Highlight content gaps

With both datasets side by side, I could easily spot content gaps. For example, tails.com had more content on dog nutrition and seasonal dog care, while pooch & mutt lacked in that areas.

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