<<Step1>> URLLIST = Extract all urls from {{google:keyword}} <<Step2>> Write URLLIST

<<Step1>> {{tab}} <<Step2>> INSTRUCTION: {{Write a small instruction what kind of information you want to extract}} Extract relevant information from the received parts and write a detailed passage of a few paragraphs in your own words given the instruction using the extracted information. Cover the precise details from the context. Do not make up facts pertaining to dates, time and numerical information and use information only from the context.

Create 10 Google Ads (a headline and a description) for {{product description}} targeting the keyword {{keyword}}. The headline of each ad should not exceed 30 characters, and the description should be limited to 90 characters. Format the output as a table.

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.

Attached is a list of titles and meta descriptions that need to be optimized. - Please keep the titles between 50-65 characters. - Please keep the meta descriptions between 150-165. - Please create a CSV export of the results.