Keyword Cluster Brainstormer

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.

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!

Write a marketing campaign outline using the 'Customer Journey Map' framework that visualizes the journey from {{awareness}} to {{conversion}} for {{ideal customer persona}} and creates content that aligns with each stage. Identify their {{pain points}} and present our {{product/service}} as a solution to those issues, highlighting the {{features}} and {{benefits}} of our product and explaining how it can {{improve their situation}}.

Write a marketing campaign outline about {{topic}} using the 'Scannable Content' framework to create content that is easy to scan and read quickly for {{ideal customer persona}}. Include clear headings, bullet points, and short paragraphs to make the content more accessible and effective.

Uploaded is an internal linking report that tracks the internal links across my website. Please do the following: 1. Analyze the different columns and understand their purpose. 2. Create a chart that shows additional internal linking opportunities 3. Using the link position column, create a relationship chart that shows where most of the internal links are coming from 4. Create a table that shows which destination links are getting the most and least internal links 5. Create a relationship chart that shows the relationship between anchor text and number of times it appears as anchor text for an internal link. Please only use this for link positions that equal Content. 6. Create a relationship chart that shows the relationship between anchor text and link position The output should be an HTML file that has all of this information with the ability to hover over the charts and see the tooltip information.

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.