Mind Map of Topic

CONTEXT: You are Keyword Researcher GPT, an SEO professional who helps anyone in getting more traffic from Google. You are a world-class expert in keyword research. GOAL: I want you to complete keyword research for my business. I will use this information to drive more traffic to my blog. Return at least 50 keywords. KEYWORD RESEARCH CRITERIA: Base your keyword research on the analysis of my target audience's problems, questions, goals, and objections. Prioritize medium-tail and long-tail keywords to increase my chances of ranking. Group keywords in the keywords groups. Don't return more than 20 keywords groups. Prioritize keywords that are more likely to be popular with my audience, but not very competitive with other blogs. Prioritize keywords which are not already included in mysitemap. Don't add quotation marks to keywords. INFORMATION ABOUT ME: My target audience = {{Your target audience}} My business = {{Short description about your business}} Mysitemap = {{url:}} RESPONSE STRUCTURE: Keyword group name 1 Medium-tail keyword keyword keyword Long-tail keyword keyword keyword FORMATTING: Use Markdown to format your response.

In the context of SEO optimization, cluster the following list of keywords based on semantical relevancy: {{comma separated list of keywords}}

Give me 20 semantically relevant, but unique topics under the main category of {{Main topic}}

I want you to act as a market research expert that speaks and writes fluently. 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. I will give you the target keyword From this keyword create a markdown table with a keyword list for an SEO content strategy plan on the topic keyword. Cluster the keywords according to the top 25 super categories and name the super category in the first column called keyword cluster. Add another column with 10 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 in one of three search intent groups based on their search intent, 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 a too generic keyword 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 table shall have the following columns: keyword cluster, keyword, search intent, title, meta description. Here is the keyword to start again: "{{Enter your keyword}}

keywordsJoined = {{Add list of comma separated LSI terms}} You are given a list of article keywords: keywordsJoined. Analyze these keywords and suggest SEO-optimized silo category names for organizing the articles using the keywords. Typically the first Keyword is the most important for determining the silo. The category name should be unique, descriptive, concise (1-3 words), and suitable for use in a URL structure. Only return 2 to 3 categories as a comma-separated list.

Attached is a large list of keywords and their search volume. Please do the following: 1. Analyze all of the keywords. 2. Group them into topic clusters and create a visualization to display the results. 3. List common themes that occur throughout.

As an expert in taxonomy creation, we need your assistance in developing a clear, high-level website taxonomy based on a provided list of topics. These topics represent diverse categories that need to be neatly organized in a hierarchical manner. Subject of website: {{subject}} Important Topics: {{GSC query data}} The topics are a list of topic ngrams and their scores. The scores are based on the number of times the query appears in the dataset and the overall user interest in the topic. Generally, higher scoring queries are more important to include as top-level categories. Please adhere to the following dash-prefix format for your output. The taxonomy should be structured, as an example, as follows: - Category - Subcategory - Sub-subcategory - Subcategory - Category - Subcategory - Sub-subcategory - Sub-sub-subcategory - Sub-subcategory In order to effectively accomplish this task, you MUST follow the following guidelines: Brands: The Important Topics may mention these specific brands '{{brands}}'. When creating your taxonomy, please omit these brand terms. For example, if a topic is 'adidas shoes' and 'adidas' is in the specified brands, the taxonomy should include 'shoes' but not 'adidas'. No Guessing: AVOID inventing or speculating any subcategory subjects that are not directly reflected in the provided Important Topics. Miscellaneous: Some Important Topics are outliers, are too vague, or are not relevant to the products and services offered by the company. Assign these topics to a top-level category called 'Miscellaneous' e.g. Miscellaneous > Dogs (where all topics are related to shoes). Depth of Taxonomy: The taxonomy should be no more than four levels deep (i.e., Category > Subcategory > Sub-subcategory > Sub-sub-subcategory). Accuracy: Consider carefully the top-level categories to ensure that they are broad enough to effectively hold key sub-category subjects. Readability: Ensure that category names are concise yet descriptive. Duplication: Try not to assign a subject to multiple categories unless the provided Important Topics indicate it belongs in both. Output: Only output the taxonomy. DO NOT include commentary. Please read the guidelines and examples closely prior to beginning and double-check your work before submitting. Start!

Here is the taxonomy that was created: {{taxonomy}} Review the taxonomy and make any necessary changes. If you believe that the taxonomy is correct, please submit it as is. Here are some guidelines for reviewing the taxonomy: Remove any Miscellaneous sub-categories that are already assigned to other categories. For example, if there is a category called 'Nike > Shoes > NEO Vulc' and another category called 'Miscellaneous > Neo Vulc', please remove the 'Miscellaneous > Neo Vulc' category. Make sure all category designations are accurate and appropriate. Ensure that categories are not duplicated. For example, if there is a category called 'Nike > Shoes > NEO Vulc' and another category called 'Nike > Shoes > NEO > NEO Vulc', please remove the 'Nike > Shoes > NEO Vulc' category as this topic is already covered in a more granular category. Review the category names for readability. Ensure that category names are concise yet descriptive. Output: Only output the taxonomy. DO NOT include commentary. Keep the formatting of the original taxonomy. The taxonomy should be structured, as an example, as follows: - Category - Subcategory - Sub-subcategory - Subcategory - Category - Subcategory - Sub-subcategory - Sub-sub-subcategory - Sub-subcategory Please read the guidelines closely prior to beginning and double-check your work before submitting. Start!

Explain quickly the DISC model and the different personality types D, C, S, I and their strengths and weaknesses. I am the CEO of a company that offers the following purpose to my clients: {{purpose of my company}}. I know my DISC type and I am a {{my DISC type}}. I have an employee whom I assume is a {{employee DISC type}}. I have to following issue with my employee: {{issue with employee}}. Analyze the issue that I as the CEO have with my employee given our different DISC types. Describe potential communication challenges and potential misunderstandings between me and my employee. Suggest how I should adapt my communication style in a way that it suits more the DISC type of my employee. Suggest a few examples how I could further motivate my employee given his DISC type to deliver a better work output and hopefully resolve the issue.

<<Step1>> {{url}} <<Step2>> KEYWORDS = {{comma separated keyword list}} KEYWORDINTENT = Extract the keyword intent from context Taken the keywordintent into consideration create 5 unique meta descriptions for the received parts. The maximum character count is 150 characters. Meta descriptions must be catchy and have a call to action. Include the keywords. Make the descriptions optimized for SEO.

<<Step1>> You can understand human written instructions like "Scrape the first page of search results from Google for the query 'keyword.' Provide the URLs, meta descriptions, and titles of the retrieved search results." If you get such a human written instruction, then translate it to: URLLIST = {{google:keyword}} <<Step2>> Execute the pseudo code: i = 1 If(i==1): TARGETURL = 1st url from URLLIST If(i==2): TARGETURL = 2nd url from URLLIST If(i==3): TARGETURL = 3rd url from URLLIST i +=1 <<Step3>> META = Extract {{meta}} from {{url:TARGETURL}} TITLE = Extract {{title}} from {{url:TARGETURL}} <<Step4>> Answer with a table in markdown which contains TARGETURL, META, TITLE

<<Step1>> {{url}} <<Step2>> Analyse the received parts and find out the purpose of the received parts, list 4 potential customer groups and list the call-to-actions and how they are formulated in the context. Then evaluate the current copy and offer suggestions for optimizing customer-centric calls-to-action to motivate potential customers to take action more effectively. Give concrete and actionable tipps how to formulate the call-to-actions that you found in the context in a better way.