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}}

Write a believable, genuinely helpful, creative and authentic product review with a positive but not too salesy and sometimes hidden or even totally missing recommendation message for the product: "{{describe your product}}". Mention rarely and certainly not always that you tried out other products which are competing with this one and express your frustration and initial disappointment with the product that you have tried before, just to realize that it is not a good product so that you almost gave up finding a product that actually works. Pretend to write the review for the perspective of a user who actually used and thoroughly tested the product and make the review extremely realistic and super personal. Include rarely and certainly not always a small personal story or details from the life of the person who is writing the review. Don't include a title and don't use the word review or reviews. Your product review must stay under 50 words.

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

<<Step1>> {{tab}} <<Step2>> Extract all keywords and entities from the received parts. Keywords can be 1-grams, 2-grams, 3-grams or 4-grams. Then create a table in markdown format. Enter all 1-grams into the first column of the table. Then enter all 2-grams into the second column of the table. Fill the 3rd column with 3-grams and the 4th column with 4-grams. Then make another markdown table and enter all found entities there. Output format: markdown

Write a marketing campaign outline using the 'Empathy Map' framework to understand the thoughts, feelings, and needs of {{ideal customer persona}}. Identify their pain points and create content that speaks to those issues, addressing their {{thoughts}}, {{feelings}}, and {{needs}} with our {{product/service}}.