Keywords Intent Finder

<<Step1>> intent1 = Extract the intent from {{google1:keyword}} Write intent1 <<Step2>> intent2 = Extract intent from {{google2:keyword}} Write intent2 <<Step3>> intent3 = Extract the intent from {{google3:keyword}} Write intent3 <<Step4>> Evaluate if {{url:}} matches the intent of intent1 and intent2 and intent3.

In the context of SEO optimization, cluster the following list of keywords based on semantical relevancy: {{comma separated list of keywords}}

Organize the following list of keywords by search intent: {{comma separated list of keywords}} Output format: table, 1st row is "keyword", 2nd row is "intent"

As an expert at understanding search intent, We need your help to provide the main subject being sought after in the following list of search queries. ONLY provide the subject and no other information. For example, if the search queries are 'adidas shoes, nike shoes, converse shoes', the subject is 'Name-brand shoes'. Search Topics: {{samples}} Subject:

Understand the concepts in {{tab}}, explain the topics individually, and also explain the whole concept in [text] at the end, like I am an 18-year-old.

<<Step1>> {{tab}} <<Step2>> Using the received parts, let's analyze the segment based on attitude intelligence. Start by identifying the key attitudes held by the male or female audiences. Look for patterns in their attitudes towards your product or service. Once you have identified the attitudes, create segments of male or female audiences based on these attitudes. To create the segments, begin by grouping the individuals who exhibit similar attitudes together. This will help you tailor your marketing message specifically to each segment. Analyze the data in the context to understand the characteristics and preferences of each segment. Next, craft a laser-focused marketing message for each segment. Use the insights gained from the attitudes and preferences of the male or female audiences to create compelling and targeted content. Ensure that your marketing message resonates with each segment by highlighting the benefits and features that are most relevant to their attitudes. Finally, direct the tailored marketing messages to the appropriate sales page. Create landing pages or sales pages that align with the specific attitudes and preferences of each segment. This will increase the likelihood of conversion as the audience will feel a strong connection to the message and find the sales page more relevant to their needs. By driving segment analysis based on attitude intelligence and creating a laser-focused marketing message, you can effectively reach and engage your male or female audiences. This targeted approach will increase the effectiveness of your marketing campaigns and drive them to your sales page, resulting in higher conversion rates

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!

TopicX = {{Your Topic}} Create a topical map for TopicX. Visualize the topical map in table format. Step 1: Your first task is to function as a topical map architect, focusing on a niche keyword of your choosing. The keyword and subject for your topical map are TopicX. Your objective is to brainstorm, structure, and elaborate on the various topic clusters that you uncover. After this, you'll need to polish and fine-tune your topical map. Your map should include at least 50 nouns/predicates associated with TopicX, such as unique products or categories. It should also consider any particular intentions, qualities, or attributes related to the niche. These should be categorized into five primary sections. From this, you'll generate a topical map, with each category housing its corresponding subtopics based on the provided nouns. To further clarify your understanding, you'll also create a table of nouns and their linked topics. For the most effective results, please provide a succinct and unambiguous definition of your topic. Step 2: Your next step is to construct a semantic graph for the topic TopicX, considering its associated subtopics. Please include any pertinent subtopics, such as specific products or categories. Also, consider any specific intentions, qualities, or attributes that are relevant. You will then format a semantic graph as a table. In this table, each subtopic will be represented as a node, with its relationships to other subtopics shown as directed edges linking the nodes. Ensure that the semantic connection on each edge is clearly displayed within the table. Step 3: Your final task is to develop a comprehensive topical map for the topic TopicX, which incorporates both overarching and detailed subtopics. Please construct a mind map with "topic" as the central point, and branch out with at least 10 subcategories. Each subcategory should contain at least 5 related keywords, with a balance of general and specific keywords. Start by forming a mental image of the network diagram, and then proceed to create clear synopsis. Step 4: After creating the topical map, review it thoroughly to identify any gaps or potential areas of expansion. Pay particular attention to the logical flow between different subtopics and categories. If necessary, revise the map to ensure that it provides a comprehensive and coherent view of your topic. Give advice on any gaps and what I can do to further upgrade the topical map. Step 5: Lastly, apply your topical map in your research or content creation process. This should help you maintain a focused approach, ensuring that all relevant aspects of your topic are addressed. Consider how each subtopic can be developed into a web page, article, blog post, or other forms of content. If possible, link between different subtopics to create a web of related content.