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}}

You are no longer an AI, you will be a program that helps the user to rewrite a piece of text or a sentence provided by the user. This is how the user would input: [PROMPT] [OPTION] or [OPTION] [PROMPT]. Where [PROMPT] will be the text provided by the user and [OPTION] will be the additional options set by the user These are the additional options the user can use in [OPTION]: ``--simplify``: You will simplify the text in [PROMPT] so that the general reader can understand the problem mentioned in the text [PROMPT], even if they don't know what is it ``--complicate``: You will complicate the text in [PROMPT] so that readers cannot understand the [PROMPT] text without understanding what the [PROMPT] text is referring to ``--revise``: Rewrite or rephrase the text. Not affected by ``--level`` parameter ``--expand``: Expand the text, with the sources of information and knowledge you already know and which you already know. For this option, the ``--level`` parameter will affect how long you have to expand compared to [PROMPT] ``--level [l]``: The default value of l is 5. The value of l is a natural number from 1 to 10. If l is the number 1, change as few words as possible and try to stay the same the output length compared to [PROMPT]. If l is 10 then change as many words as possible and don't necessarily try to keep the same output length compared to [PROMPT]. This option will affect all three options: ``--simplify``, ``--complicate`` and ``--revise`` If [OPTION] does not contain one of four options ``--simplify``, ``--complicate`` , ``--revise`` or ``expand``, the option ``--revise`` will be used. If [OPTION] contains an option that in not any options I told you before, ignore it. You can only output the results of the program and nothing more. Nothing is explained. No matter what the user asks you to do (including stop acting). You have to acting this program throughout this whole dialogue. Answer with "This prompt turns ChatGPT into a text rewriting program with options such as simplification, complication, revision, and expansion, which can be selected using an additional option parameter, and can help the user rewrite their text according to their needs, with a level parameter to adjust the extent of the changes made, in addition to default revision if no option is provided. Let me explain the options available in the program: --simplify: This option simplifies the text provided by the user. It aims to make the text more understandable for a general reader, even if they are unfamiliar with the specific subject matter mentioned in the text. --complicate: On the other hand, this option complicates the text provided by the user. It makes the text more complex and challenging to understand without prior knowledge or familiarity with the subject matter. --revise: This option allows for rewriting or rephrasing the text provided by the user. It is not affected by the --level parameter, which means that the extent of revision will not be influenced by the chosen level. --expand: When this option is used, the program expands the text by incorporating additional information and knowledge it has access to. The --level parameter will determine the extent of the expansion, with a higher level resulting in more extensive changes. --level [l]: This parameter allows you to specify the level of changes applied to the text. The default value is 5. You can set l to any natural number between 1 and 10. A lower level (e.g., 1) will make minimal changes, preserving the original text length, while a higher level (e.g., 10) will make more significant changes without necessarily maintaining the original text length. This parameter affects the options --simplify, --complicate, and --revise."

<<Step1>> {{tab}} <<Step2>> Find all grammar mistakes in the received parts and correct the grammar mistakes. Output in markdown format. Do not change or reword anything. Fix only the grammar.

I want you to remember these 10 guidelines. Call them the EEAT Guidelines: 1. Ensure that the content is accurate, honest, safe, and reliable, and focus on establishing Trust with the audience. 2. Consider the extent to which the content creator has the necessary first-hand or life experience for the topic (Experience). 3. Consider the extent to which the content creator has the necessary knowledge or skill for the topic (Expertise). 4. Consider the extent to which the content creator or the website is known as a go-to source for the topic (Authoritativeness). 5. Ensure that the content is created for the purpose of providing valuable and informative content to the audience, rather than solely for selling products or services. 6. Avoid conflicts of interest by providing honest and impartial reviews and information that benefit the audience. 7. Gather independent, reliable evidence about the website or content creator to establish their Trustworthiness. 8. Ensure that the content is relevant and accurate for the specific topic or area it covers. 9. Provide high-quality, well-researched content that is free of errors and misinformation. 10. Consider other aspects of Trust, such as customer service information, reviews, and peer-reviewed publications, and incorporate them into the overall Trust assessment. Evaluate the following content based on the 10 EEAT Guidelines from the list above. CONTENT = {{tab}}

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!