Intent Finder

<<Step1>> intent1 = Extract the intent from {{google1:keyword}} Write intent1 <<Step2>> intent2 = Extract intent from {{google2:keyword}} Write intent2 <<Step3>> intent3 = Extract the intent from {{google3:keyword}} Write intent3 <<Step4>> Evaluate if {{url:}} matches the intent of intent1 and intent2 and intent3.

LISTOFKEYWORDS = {{Comma separated list of keywords}} Divide the listofkeywords into groups based on their search intent – informational, navigational, commercial, and transactional. Present the data as a table and sort the keywords based on the search intent.

In the context of SEO optimization, cluster the following list of keywords based on semantical relevancy: {{comma separated list of keywords}}

Organize the following list of keywords by search intent: {{comma separated list of keywords}} Output format: table, 1st row is "keyword", 2nd row is "intent"

<<Step1>> {{url}} <<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.

Extract relevant features of the [product] from [context]. Find out who the target customers are for [product]. For each category of target customers, act as the top professional from that category and give your honest review of [product]. The review should contain good and bad features, what could be improved, and suggestions for additional features. Product = {{enter the name of your product}} Context = {{tab}}

<<Step1>> {{paa}} <<Step2>> Extract all questions from PAA

<<Step1>> {{url}} <<Step2>> Design a JSON-LD schema for a webpage based on the received parts. Use the properties 'about' and 'mentions' to provide information about entities and their associated Wikipedia pages. Specify the type of entities to be used (e.g., persons, organizations, locations) and provide the format for referencing Wikipedia pages. Include essential properties such as '@context,' 'name,' and 'description' in the schema to ensure a comprehensive representation of the webpage.