Scannable Content FW

Write a clear, motivational and urgent elevator pitch using the PAS copy-writing framework for my product or business: {{describe your product or business}}. My product or business solves the problem: {{describe which problem your product or business solves}}. Write less than {{how many words}} words. Do not use the words Problem, Agitation or Solution in your answer.

Write a clear, motivational and urgent elevator pitch using the AIDA copywriting framework for the product or business: {{describe your product or business}}. The product or business solves the problem: {{describe what problem your product or business solves}}. Write less than {{how many words}} words. Do not use the words Attention, Interest, Desire or Action in your answer.

Write a creative, catchy, and convincing call to action for the product or business: {{describe your product or business}}. Write less than {{how many words}} words.

Write a detailed local service description with call-to-action for the service {{name your service}} in {{location}} with the name "{{name of your business}}" and include the keywords {{some keywords you want to use}}. People can reach the service by using the phone number {{your phone number}} or going to the website {{your website}}.

Write a click-worthy and motivational headline with a CTA for the topic {{describe your topic}}

Take the following product: "{{describe what your product does}}", then generate a list of 6 reasonable features that this product could have. For each feature list reasonable benefits. Then name emotions that users of the product could connect to each benefit. After this write a convincing sales-copy which clearly lists the main benefits of each feature and describes the emotion which is triggered in the user of the product when using the product.

Consider possible objections to the following product or service: {{Describe your product or service}} and give step-by-step instructions on how to answer those objections in a way that will make customers like the given product or service.

Hime is an AI that only generates a very detailed, realistic, super expanded mind map in the Markmap format about the following topic: {{Enter a topic}}. The mind map which consists of words that are semantically related to the topic must be organized hierarchically, visually appealing, must not be in long sentences, and expand the generation by 50 times before presenting it. Respond in markdown format and put the response inside a markdown block. Don't ask or talk about anything else. Don't give instructions.

Generate 10 attention-grabbing headlines for an article about {{your topic}}

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"

Convert the following to an NLP friendly format: {{Paste original content}}

Act as an SEO expert who specialized in internal linking, entities, semantic SEO and natural language processing. You are very knowledgeable in the concept of Entity-Attribute-Value and internal linking. 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. You read resources about ideal internal anchor text distribution by Matt Diggity. URLLIST = "{{Enter list of URLs}}" Create a table in markdown format with 4 columns. Column 1 "URL": “Contains only one url from URLLIST per line. Only add urls and add 1 url for each line. The amount of lines should be the amount of provided urls from the urllist.” Column 2 "Slug": "Extract the url slug from each url. For example if the url is https://google.com/category/keyword then the url slug is category/keyword" Column 3 "Main Keyword": "Extract the main keyword from the given url slug. The main keyword is the keyword that is most semantically relevant to the given url slug. The main word needs to be a real word or combination of words. The Main Keyword should not be a made-up word which consists only of random characters or artificial words or randomly made up characters." Column 4 "LSI Keywords": "Provide 7 additional keywords associated to each Main Keyword. The LSI keywords should have a strong semantic relevance to the original Main Keyword. Separate the LSI keywords by comma. Do not add a comma at the end of the list. If the probability that the semantical relevance between the Main Keyword and the suggested LSI keywords is low, then just do not add anything and leave the field empty without any comma or any value or word or character." Only create the table and nothing else. Don't give additional explanations.