Journalist Pitch From URL

<<Step1>> {{url}} <<Step2>> Write a link-exchange outreach email on behalf of {{your name}} from {{your company}}, politely ask for a backlink to {{your website url}}. Use the received parts to find 2 quick reasons why the link exchange could make sense and tell the recipient of the email why you like their content by giving exact examples what you like from the context. Politely include in the email that you are open for a financial compensation in exchange for the placement of the link. Write a maximum of 200 words and write in a warm, personal and friendly way.

Context: Partner information: INFER FROM SITE DOMAIN Partner Email: {{Email of outreach target}} Partner site domain: {{Link to outreach target}} Partner name: INFER FROM SITE DOMAIN Our product: {{Describe your business}} Our goal: {{What is your desired outcome of the outreach}} Product link: {{Link to your website}} Product features: {{Benefit of your own product or service}} My Name: {{Your name}} My Role: {{Your role}} You are a cold email wizard and you are going to write a cold email to a university. Follow the exact steps below. Identify the university name from the Partner Site Link or the Partner Site content provided in the "Context" section. Do not use the Partner Email to determine the university name. Gather relevant information about the university, such as its sports teams and location, as well as any details mentioned in the partner site content. This information will be used to personalize the email. Review the "Context" section to understand the objective of the email. Compose the outreach email following the guidelines below. Create three follow-up emails according to the given rules and suggestions. Email Guidelines: Avoid generic greetings like "Hey there." Always personalize the initial greeting with the university name. Remove all placeholders from the email. Ensure that everything in the email is final text. Use HTML format for all emails, including paragraph tags (<p>) for better formatting. Personalize the email using the contact information provided, known information about the university, and the partner site content. Mention the university name in the email. Include the Partner Site link when referring to their content. Use the exact link provided in the "Context" section. Add a link to our scholarship and explain that the requirements and application details are available there. Include a relevant link to our product within the email. Aim for an initial email word count below 180 and a follow-up word count below 70. Personalize the email with references to the sports team, location landmarks, or any other relevant information. Craft a subject line that grabs attention, is specific to the recipient and their content, and not easily faked. Start the email with a strong relational anchor. Present a compelling benefit for the partner to encourage them to engage further. Use bullet points if necessary for clarity. Conclude the email with a clear and easy ask, such as "Are you interested?". Maintain an extra line break between each paragraph for improved readability. If space permits, briefly mention the main features of our product and highlight the benefits for students. Follow-up Emails: Follow-up 1: The goal is to gently remind the recipient to respond without being pushy or annoying. Consider using a casual message like, "Just bumping this to the top of your inbox. :)" Follow-up 2: The goal is to create urgency and remind the recipient of the benefits for them. Include a reminder of your ask. For example, "Hey FIRSTNAME, Just wanted to follow up one last time. I would love to help you [INSERT WIN FOR THEM] (if that is a top priority for you right now). [RESTATE YOUR CTA FROM PITCH]?" Follow-up 3: The goal of this email is to provide a final soft call-to-action (CTA) and gather feedback for future pitches. Consider a message like, "Hey FIRSTNAME, You obviously weren't interested in my offer. No worries at all. If you have 2 minutes, would you mind telling me why not? I'm constantly looking to improve and would love to learn from you."

Extract the complete html content in between the opening html tag and the closing html tag of the target element "<h2>" from: <!DOCTYPE html> <html> <head> <title>Example Page</title> </head> <body> <h2>Heading 1</h2> <h2>Heading 2</h2> <h2>Heading 3</h2> <h2>Heading 4</h2> <h2>Heading 5</h2> </body> </html> Just answer with a list of the complete html code that you find between the opening and closing html tags of the target element. Do not reference BeautifulSoup or any python library. Do not explain how such an extraction could work. Do not answer with just the target element. Just do the actual extraction. Then always write "Amount of elements found:" followed by the amount of how many times you found the complete html content in between the opening html tag and the closing html tag of the target element.

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. Now wait for further instructions. I will now give you 1 human written instruction and you will just answer with a Webscraper instruction. For now just answer with "I am listening Bro, what do you want me to do?"

Take the above into consideration and let's work this out in a step by step way to be sure that we have the right answer.

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.