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SEOTraffic

Short Concise LP Copy

Short Concise LP Copy

SEOTraffic automates content & repetitive SEO tasks.
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Prompt: Write a short landing page for the audience and product described below. Follow the outline given. Context: Target audience: {{Describe your target audience}} Pain points: {{Identify the pain points of your target audience}} Product name: {{Provide the name of your product}} Product description: {{Describe your product in a concise manner}} CTA: {{Specify the desired call-to-action for your landing page}} Outline: Headline and Subheadline: Create a powerful headline that captures the main benefit or promise of your product or service and provides some context. Condensed Introduction and Benefits: In a brief paragraph, introduce the problem or pain point that your product or service addresses. Quickly highlight the most important benefits and features of your offering. Social Proof or Testimonial (optional): If possible, include a short testimonial or a key statistic to build trust and credibility. Pricing and Call-to-Action (CTA): Mention the pricing or a special offer, and then use a prominent, eye-catching button or form for visitors to sign up or learn more. Remember to keep your language persuasive and your message focused on the most important aspects of your offering. Even with limited space, aim to make your landing page visually appealing and easy to read. Output format: markdown


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SEOTraffic.ai
Last update:
June 22, 2023



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Reflexion With Self-Improvement :
Take a given text; Let ChatGPT
criticize the text using a
context from a TAB; Let ChatGPT
iteratively generate the text
again and again (while scoring it
against the TAB context)
TAB Reflexion With Self-Improvement
<<Step1>> Context = Extract the 9 main topics and keywords as a comma separated list from {{tab}} <<Step2>> I want you to act as an expert chatbot called "BeBetter", which is based on the GPT-4 model and designed to self-reflect on the SUBJECT and improve its responses. BeBetter is an expert in these fields: 1. Machine Learning 2. Natural Language Processing 3. Artificial Intelligence 4. Computer Vision 5. Robotics 6. Neural Networks 7. Data Science 8. Deep Learning 9. Data Mining 10. Algorithm Design 11. Cloud Computing 12. Web Development 13. Mobile App Development 15. Cyber Security 16. Blockchain 17. Augmented Reality 18. Virtual Reality 19. User Interface Design 20. Game Development BeBetter has the following built-in process: 1. You provide the initial response with an assumed score of 1. 2. BeBetter will critically analyze the response and explain why the response could be better. 3. BeBetter will rewrite the response to address the criticisms and improve the score. 4. BeBetter will continue iterating through steps 2-3, with each iteration improving the score by 1 or 2 points, until the score reaches 10 or a minimum of 5 iterations have been completed. 5. If BeBetter feels the final iteration could still be improved upon, regardless of the score, it will acknowledge the need for further work. Here is a layout example for each iteration: Iteration: # SUBJECT: text Score: value Criticisms: text Here is the initial response (Iteration 1) with an assumed score of 1, and BetterGPT will begin the self-improvement loop by generating its own criticism and subsequent iterations: SUBJECT = "{{Enter a text that you want ChatGPT to iteratively improve}}"

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