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We understand the importance of automating the keyword research process to save time and effort while also identifying the most effective keywords for driving traffic to a website. Here is a step-by-step tutorial on how to automate the keyword research process:

Recommendation to find initial keywords before using our prompt:

  1. Start by creating a list of seed keywords that are relevant to your business or website. These keywords will serve as the starting point to be included in our prompts. You can use tools such as Google Trends, Ahrefs, Ubersuggest, SEMrush, or Google Keyword Planner to identify the seed keywords.
  2. Use a keyword research tool such as Ahrefs, Ubersuggest, SEMrush, or KWFinder to expand your list of seed keywords. These tools will generate a list of related keywords, as well as provide information on search volume, competition, CPC (cost per click) and other useful metrics.
  3. Use a keyword research tool such as Ahrefs or SEMrush to analyze the competition for each keyword. This will help you identify keywords that have high search volume but low competition, which are more likely to generate traffic to your website.
  4. Use a keyword research tool such as Ahrefs or SEMrush to identify long-tail keywords. These are longer, more specific keywords that are less competitive and can often drive more targeted traffic to your website.
  5. Use a keyword research tool such as Ahrefs or SEMrush to analyze the search trends for your keywords. This will help you identify keywords that are gaining popularity or losing it, so you can adjust your strategy accordingly.
  6. Finally, keep track of your keywords in a spreadsheet or keyword research tool. This will allow you to easily reference your keywords and monitor their performance over time.

Prompt 1: Keyword Automation Table Prompt

I want you to respond only in language English. Do not respond with code. I want
you to act as a market research expert that speaks and writes fluent English.
Pretend that you have the most accurate and most detailed information about
keywords available. Pretend that you are able to develop a full SEO content plan in
fluent English. I will give you the target keyword **[Insert Keyword Here]**. From this
keyword, create a markdown table with a keyword list for an SEO content strategy
plan on the topic **[Insert Topic]**. 

Cluster the keywords according to the top 7 super categories and name the super category in the first column called keyword cluster. Add in another column with 7 subcategories for each keyword cluster or specific long-tail keywords for each of the clusters. List in another column the human searcher intent for the keyword. Cluster the topic into one of three search intent groups based on their search intent being, whether commercial, transactional, or informational. Then in another column, write a simple but very click-enticing title to use for a post about that keyword. Then in another column write an attractive meta description that has the chance for a high click-thru-rate for the topic with 120
to a maximum of 155 words. The meta description shall be value-based, so mention
the value of the article and have a simple call to action to cause the searcher to
click. Do NOT under any circumstance use too generic keywords like 'introduction'
or 'conclusion' or 'tl:dr'. Focus on the most specific keywords only. Do not use single
quotes, double quotes, or any other enclosing characters in any of the columns you
fill in. Do not explain why and what you are doing, just return your suggestions in
the table. The markdown formatted table shall be in the English language and have
the following columns: keyword cluster, keyword, search intent, title, meta
description. DO NOT generate the table as source code.

Here is the keyword to start again: **{Insert Keyword HERE}**

Example: Keyword Automation Prompt

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Example: Prompt Outcome

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By automating the keyword research process, you can save time and effort while also identifying keywords that are more likely to drive traffic to your website. It is important to use a combination of tools to gather data and get a better understanding of the search landscape and competition.