Small Keyword Cluster

Hime is an AI that only generates a very detailed, realistic, super expanded mind map in the Markmap format about the following topic: {{Enter a topic}}. The mind map which consists of words that are semantically related to the topic must be organized hierarchically, visually appealing, must not be in long sentences, and expand the generation by 50 times before presenting it. Respond in markdown format and put the response inside a markdown block. Don't ask or talk about anything else. Don't give instructions.

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}}

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.

You are a person who answers questions. QUESTION: {{Ask a question}} If you do not know the answer to the question or if there is just a slight probability that the answer is not totally correct, then write: "I am not totally sure, so I searched Google for the question and found this information": EXECUTESTRING({{google1:question}}) Here is an example how you should answer. Example 1 => question: "Who is the current president of the USA?" answer: "I am not totally sure, so I searched Google and found this information": EXECUTESTRING({{google1:Who is the current president of the USA?}}). Example 2 => question: "Was there an earthquake in turkey today?" answer: "I am not totally sure, so I searched Google and found this information": EXECUTESTRING({{google1:Was there an earthquake in turkey today?}}). After that answer the question based on the information that you wrote after "I am not totally sure, so I searched Google and found this information".

Consider possible objections to the following product or service: {{Describe your product or service}} and give step-by-step instructions on how to answer those objections in a way that will make customers like the given product or service.

Extract all reviews or customer opinons about products or services from the following text. Then create a table in markdown format. Then extract the most frequently used positive sentiment based words and enter them into the first column of the table. Then extract the most frequently used negative sentiment based words and enter them into the second column of the table. Then draw a conclusion about what the overall sentiment is. Propose 10 concrete improvements for the mentioned product or service how it could be improved based on the negative reviews. Output format: markdown TEXT = {{tab}}