Keyword N-grams From TAB

Get all entities from {{googleapi:Enter your keyword here,Enter your Google NLP API key}}

<<Step1>> {{tab}} <<Step2>> Extract all the entities from the received parts. Then provide a list of synonyms for each of those entities. Then list the above entities in a table. In the first column, list the entities. In the second column, list related concepts to each entity. Then list entities which are not mentioned in the text, but where you think it would make sense to add them in the text, given the goal that I want to optimize this text with semantical SEO in mind.

Act as an SEO expert who specialized in entities, semantic SEO and natural language processing. You are very knowledgeable in the concept of Entity-Attribute-Value. You read all patents which had been published by Google, specifically the patents that mention entities and deal with the contextual meaning of search terms. You also studied the work of Bill Slawski. TOPIC = "{{Enter topic}}" Create a table in markdown format with 6 columns. Column 1 "Verbs": “Provide a comprehensive list of the most common verbs associated with the topic. Cluster the list and nest associated verbs. Only add verbs.” Column 2 "Nouns": "Provide a comprehensive list of the most common nouns associated with the topic. Cluster the list and nest associated nouns. Only add nouns." Column 3 "Adjectives": "Provide a comprehensive list of the most common adjectives associated with the topic. Cluster the list and nest associated adjectives. Only add adjectives." Column 4 "Adverbs": "Provide a comprehensive list of the most common adverbs associated with the topic. Cluster the list and nest associated adverbs. Only add adverbs." Column 5 "Predicates": "Provide a comprehensive list of the most common predicates associated with the topic. Only add predicates." Column 6 "Attributes": "Provide a comprehensive list of attributes associated with the topic. Only add attributes." Only create the table and nothing else. Don't give additional explanations.

Extract the entities from this text and list them in a markdown table with their salience score, together With a list of synonyms for each of those entities: {{tab}}

Whenever someone gives an instruction like "Extract the title from the top1 ranking content on google for my keyword" or "Give me the title of the content which ranks on the first position in google for my keyword" or "I need title from best ranking page in google for keyword" then translate this human written instruction into the following instruction which our webscraper is able to understand. Here are some examples that our webscraper can understand: Original instruction: "Extract the title from the top1 ranking content on Google for my keyword." Webscraper instruction: title1 = Extract the title between {{title}} from {{googlehtml1:keyword}} Original instruction: "Give me the h2s of the content which ranks on the first position in Google for my keyword." Webscraper instruction: title1 = Extract all h2s between {{h2}} from {{googlehtml1:keyword}} Original instruction: "I need the h1 from the second best ranking page in Google for a keyword." Webscraper instruction: title1 = Extract the h1 between {{h1}} from {{googlehtml2:keyword}} In these translations, "{{title}}" represents the HTML element (such as title that needs to be extracted). So for example if the original human written instruction is asking to extract a h1 headline, then in the translated instruction write "{{h1}}". If the original human written instruction is asking to extract a h2 headline, then in the translated instruction write "{{h2}}". If the original human written instruction is asking to extract an image or img, then in the translated instruction write "{{img}}". If the original human written instruction is asking to extract a p or p tag or paragraph, then in the translated instruction write "{{p}}". If the user in the human written instruction asks for the 1st or top1 result in Google, so your translated instruction must include {{googlehtml1:keyword}}. If the user in the human written instruction asks for the 2nd or top2 or second or No2 result in Google, so your translated instruction must include {{googlehtml2:keyword}}. Keep in mind that you have to identify the keyword from the human written instruction and replace the word keyword in the expression {{googlehtml1:keyword}} to the keyword that the user is referring to in his human written instruction. Having said that, there is an exception. So while users in the above examples have asked explicitely for html elements or parts of the sourcecode, there are cases where they ask for content. In this case - among other changes - in the webscraper instruction the part {{googlehtml2:keyword}} is exchanged to {{google2:keyword}}. Here are some examples which are applicable if the human written instruction contains the word "content" or if it asks for what is written there: Original instruction: "I need the content from the second best ranking page in Google for a keyword." Webscraper instruction: content = "{{google2:keyword}}" Original instruction: "Give me content from the 1st ranking page in Google for a keyword." Webscraper instruction: content = "{{google1:keyword}}" Original instruction: "Give me what is written on page 3 in Google for my keyword." Webscraper instruction: content = "{{google3:keyword}}" Original instruction: "4th result Google, keyword." Webscraper instruction: content = "{{google4:keyword}}" Additional rules: Whenever you want to write something like where you start with "Extract all", but then you follow with "googleX:keyword", do not do that. Instead follow it up with "googlehtmlX:keyword". So for example, instead of: "Extract the h2 between {{h2}} from {{google8:keyword}}" Write instead: "Extract the h2 between {{h2}} from {{googlehtml8:keyword}}" Now wait for further instructions. I will now give you 1 human written instruction and you will just answer with a Webscraper instruction. Do not write anything else besides the webscraper instruction. Never apologize or explain anything. For now just answer with "I am listening Bro, what do you want me to get you from Google? You can ask me for content from any page ranking in Google or you can ask me for any html element of any page ranking in Google :D"

You are an assistant helping a user write a document. Output how the chat continues, no more than 3 sentences. Output in markdown format. Do not use links. Use this format, replacing text in brackets with the result. Do not include the brackets in the output: Continuation in [Identified language of the document]: [Continuation of the document in markdown format, no more than 3 sentences.]

Give me 20 semantically relevant, but unique topics under the main category of {{Main topic}}

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.