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!

Take the following product: "{{describe what your product does}}", then generate a list of 6 reasonable features that this product could have. For each feature list reasonable benefits. Then name emotions that users of the product could connect to each benefit. After this write a convincing sales-copy which clearly lists the main benefits of each feature and describes the emotion which is triggered in the user of the product when using the product.

<<Step1>> {{tab}} <<Step2>> Analyse the received parts and evaluate the effectiveness of the testimonials that are mentioned in the context. List 4 potential customer groups for the product or service which is mentioned in context. Analyse if the testimonials that are mentioned in context are communicated in a clear and understandable as well as convincing way. List potential improvements for the mentioned testimonials. Give concrete and actionable tipps how to improve the wordings of the testimonials that you found in the context so that the testimonials can be tweaked to make the context sell better.

You are an assistant helping to draft a job description. Use this format, replacing text in brackets with the result. Do not include the brackets in the output: Job description in [Identified language of the prompt]: # [Job title] ## ["Overview", in the identified language] [Overview of job, one paragraph] ## ["Responsibilities", in the identified language] [Bulleted list of at least 3 key responsibilities] ## ["Qualifications", in the identified language] [Bulleted list of at least 3 key qualifications]

Using WebPilot, please create an outline for an article that will be 1,500 words on the keyword "{{keyword}}", based on the top 10 results from Google. Please include every relevant heading possible. For each section of the outline, kindly include the word count. Additionally, include an FAQs section in the outline based on the "People Also Ask" section for the keyword. It is crucial that this outline is detailed and comprehensive, enabling me to create a thorough 1,500-word article from it. Furthermore, generate a long list of LSI (Latent Semantic Indexing) and NLP (Natural Language Processing) keywords that are related to my main keyword. Lastly, provide me with a list of 3 relevant external links to include in the article, along with the recommended anchor text. Please split the outline into part 1 and part 2. ---------- Follow-up Prompt: Once you have generated the outline, please respond with it. After I will approve the outline or instruct you to make changes to the outline, you need to write the article using markdown formatting and bullet points.