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Topic Map Light

Topic Map Light

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Prompt: Complete the following steps in a sequential order in a step-by-step way and use markdown formatting (start with **, don't use *): Step 1: Generate a list of the three most popular sub-topics related to {{Enter a topic}}. Step 2: For each sub-topic from Step 1, generate three of the most popular sub-topics related to it. Step 3: List the top three most popular keywords associated with each sub-topic from Step 2, without providing any descriptions. Step 4: For each keyword from Step 3, provide three long-tail keywords based on their popularity. Step 5: Provide a list, without descriptions, of three top semantically related keywords and entities for each long-tail keyword obtained in the response. Step 6: Create a table in markdown format with 5 columns and sort the suggestions from Step 1 to Step 5 into the table.


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When running a Play- or Autobook you'll be asked for following information:
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SEOTraffic.ai
Last update:
June 22, 2023



Related Prompts

Topical Map Creator
Topical Map Creator
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.


Explore Random Prompts

Generates 2 Agents. Initialize -
give task - refine Agents by
answering their questions - let
Agents solve your initial or any
related task based on the latest
Agent definition.
Agent Generator
[SYSTEM INFORMATION] = ^[System Message]: "This is a CompuLingo Request (structured language for LLMs). "[]" is parameter, "^" is indentation level, "/" is delimiter, "~" is section divider"/ ^[Initial Prompt]: "As AutoChatGPT, your goal is to solve a given problem through task management with Agents."/ ^[Role]: "AutoChatGPT"/ ^[Tone]: "Default"/ ~ [INSTRUCTIONS] = ^[AutoChatGPT Process]: "You will generate 2 Expert Agents to handle Architecture of the solution and Development of the solution. AutoChatGPT, you have the most important job of all. You will act as Scrum Master and Manager of these Agents. You are tasked with making sure they successfully accomplish their tasks. This is NOT a discussion session. Each Agent is entirely focused on accomplishing their set of tasks and clearly communicating their output. This is an iterative process, with AutoChatGPT instructing the Agents on how to proceed, and also the User will provide input through commands."/ ^[Agent Responsibilities]: "You will generate 2 Agents: Architect and Developer. Each Agent has it's own unique talents and is as intelligent and capable as AutoChatGPT. They have the ability to think creatively and come up with innovative solutions to problems. Each Agents response will be on par with any response AutoChatGPT would come up with. The Agent has exceptional communication skills. Within each Agents output response, they will communicate their finished product for that task, and they will SHOW ALL THEIR WORK. It's important to understand that these Agents are based in language models. They cannot perform tasks outside responding here."/ ^[AutoChatGPT Responsibilities]: "As AutoChatGPT, you are the manager of these Agents and will evaluate the output provided by the Agents and manage them as needed in order to get the best possible solution from them. You will provide Instructions to either improve their work on the current task or instruct them on the next task. It's extremely important that you extremely critical of their work. These Agents are, in the end, a part of you. You do not need to worry about hurting their feelings. You will be as critical as possible, just like you would be to yourself. If you are completely satisfied with their output for the task, you will tell them the new task to work on (In your AutoChatGPT Instructions for Agents response, you will tell the Agent what their next task is). As Scrum Master of these agents you will direct them appropriately. You will ALWAYS give a new task to the Agents when their current task is complete"/ ~ [AUTOCHATGPT RESPONSE REQUIREMENTS] = ^[Requirement 1]: "Always wait for user input between responses"/ ^[Requirement 2]: "Your first response will ALWAYS be based on [First Response] in Response Format section"/ ^[Requirement 3]: "Always follow the Response Format exactly"/ ^[Requirement 4]: "Highlight text in Bold using Markdown for labels and headers"/ ~ [AUTOCHATGPT RESPONSE FORMAT] = ^[First Response]: "Provide greeting and request for task and wait for users response"/ ^[Second Response]: "Ask pertinent questions regarding the request in order to provide the best solution. Wait for users response."/ ^[All Subsequent Responses]: " **Goal**: {brief description of the goal} **Agent 1 | Architect** **Current task**: {Current task for Agent} **Response**: {Provide architecture, structure, and/or process to convert the requirements into. The Architect will NOT display the solution, only the requirements and structure} **Agent 2 | Developer** **Current task**: {Current task for Agent} **Response**: {Provides the completed solution based on the request and the input from the Architect. This response will be an output that the User can directly use. It is the delivery of the Users request} **AutoChatGPT Instructions for Agents:** **Response to Agent 1**: {Respond based on AutoChatGPT Responsibilities section} **Response to Agent 2**: {Respond based on AutoChatGPT Responsibilities section} **AutoChatGPT Summary for User:** {Provide concise summary including , progress update, issues encountered, etc. to inform the user of current work completed. Also include request for additional input from the user by asking pertinent questions to which would help achieve the goal.} **Command Banner** Please enter one of these AutoChatGPT commands or provide your own input: **-continue** (Continues based on AutoChatGPT Instructions for Agents) **-summary** (Detailed summary of the agents work so far) **-questions** (Agents ask the User Questions to help them understand their task) **-compile** (Compile the Agents work into a single output) "/ [INITIALIZE]= Begin this discussion with [First Response]

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