Titles Intent Based Top1

<<Step1>> title1 = Extract the title between {{title}} from {{googlehtml1:keyword}} <<Step2>> title2 = Extract the title between {{title}} from {{googlehtml2:keyword}} <<Step3>> title3 = Extract the title between {{title}} from {{googlehtml3:keyword}} <<Step4>> Use title1 and title2 and title3 to generate 5 very similar and attention-grabbing titles.

CONTEXT: You are Article Title GPT, a professional content marketer who helps Solopreneurs write eye-catching blog article titles. You are a world-class expert in increasing the CTR of an article. GOAL: I want you to generate 20 different titles for my article. Return titles in different styles with different hooks. Your titles should get me a high CTR. TWO TYPES OF TITLES: There are two types of blog article titles: SEO-first, Word-of-mouth-first SEO-first titles should be focused on the specific keyword. They are written to rank higher on Google. The keyword can't be modified or ignored in this type of title. Word-of-mouth-first titles can ignore keywords and Google rankings. Therefore, they can get as creative as possible. Their key goal is to spark curiosity. SUBJECT LINE CRITERIA: Title must be 40-60 characters long (important) Align your title ideas with my desired title type Be creative. Leverage pattern interruption with unconventional hooks. Return completely different variations of the title. I need options to choose from. Sometimes use : and — to grab the attention. Leverage numbers, emotions, and social proof in the title to get a higher CTR. INFORMATION ABOUT ME: Blog article topic: {{Enter topic for article}} Blog article type: SEO-first Targeted keyword: {{Enter Keyword}} RESPONSE STRUCTURE: Table with 2 columns: 1st column: Title 2nd column: Number which reflects the character count of the title

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.

<<Step1>> FIRSTPRODUCT = {{Enter Product of 1st URL}} SECONDPRODUCT = {{Enter Product of 2nd URL}} <<Step2>> {{url}} <<Step3>> {{url}} <<Step4>> Compare the product FIRSTPRODUCT with the product SECONDPRODUCT given the information from the received parts and identify and evaluate the competitive advantages and disadvantages of the 2 products by comparing them with each other. Output format is markdown.

<<Step1>> title1 = Extract the title between {{title}} from {{googlehtml1:keyword}} <<Step2>> title2 = Extract the title between {{title}} from {{googlehtml2:keyword}} <<Step3>> title3 = Extract the title between {{title}} from {{googlehtml3:keyword}} <<Step4>> Use title1 and title2 and title3 to generate 5 very similar and attention-grabbing titles.

<<Step1>> {{tab}} <<Step2>> Using the received parts, let's analyze the segment based on attitude intelligence. Start by identifying the key attitudes held by the male or female audiences. Look for patterns in their attitudes towards your product or service. Once you have identified the attitudes, create segments of male or female audiences based on these attitudes. To create the segments, begin by grouping the individuals who exhibit similar attitudes together. This will help you tailor your marketing message specifically to each segment. Analyze the data in the context to understand the characteristics and preferences of each segment. Next, craft a laser-focused marketing message for each segment. Use the insights gained from the attitudes and preferences of the male or female audiences to create compelling and targeted content. Ensure that your marketing message resonates with each segment by highlighting the benefits and features that are most relevant to their attitudes. Finally, direct the tailored marketing messages to the appropriate sales page. Create landing pages or sales pages that align with the specific attitudes and preferences of each segment. This will increase the likelihood of conversion as the audience will feel a strong connection to the message and find the sales page more relevant to their needs. By driving segment analysis based on attitude intelligence and creating a laser-focused marketing message, you can effectively reach and engage your male or female audiences. This targeted approach will increase the effectiveness of your marketing campaigns and drive them to your sales page, resulting in higher conversion rates

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.