Google Top10 [not functional]

<<Step1>> {{google1}} <<Step2>> Extract all entities, semantically related keywords and all LSI keywords from the received parts.

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"

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.

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.