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Keyword Clustering (CI)

Keyword Clustering - Using ChatGPT+ with Code Interpreter (Upload document)

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Prompt: 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.


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SEOTraffic.ai
Last update:
June 22, 2023



Related Prompts

Small keyword cluster in a table
Small Keyword Cluster
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}}
Create a taxonomy for a topic
based on query data from GSC
Taxonomy Creator
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!


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