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ChatGPT for SEO
ChatGPT version that is specifically tailored to SEO content creation.
Prompt Chains
Run complex prompt chains in ChatGPT to get perfectly SEO optimized content.
Google Scraper
Scrape content, PAA or HTML like H2 or titles from Google into your prompts.
Prompt Library
Large prompt library that covers all kind of SEO use cases.
Pricing
Learn more about our future plans and why SEOTraffic is free.
Use Cases
SEO Content
Create SEO content effortlessly by using prompt chains that scrape Google.
Auto Publish
Use our WP plugin to automatically publish content directly from ChatGPT into Wordpress.
Analyse Content
Use our SEO analysis prompts to analyse existing content in order to get optimization suggestions.
Repurpose Content
Use our prompt chains to repurpose content, e.g. for social media posts.
Browser Agents
Use and refine prompt chains that can operate your browser and create agents that perform redundant tasks like link outreach.
Replace staff
Replace some of your staff members with ChatGPT or browser agents or make your staff much more efficient.
Embed Knowledge
Use our integrated vector database to embed unique company knowledge into prompt chains. Useful to create chatbots.
Learn
Tutorials
Explore our tutorials and learn how to work with SEOTraffic.
Youtube
Check out Youtube for bite sized videos that show you how to operate SEOTraffic.
Facebook Group
Be part of a community of SEOTraffic users, ask questions and get help.
Chatbot Helper
Unsure how to use SEOTraffic? Talk with an AI chatbot that tells you how to use SEOTraffic.
Scraper
Scrape content from url
Example Prompt: <<Step1>> {{url:https://seotraffic.ai}} <<Step2>>Summarize the received parts.
Scrape content from tab
Example prompt: <<Step1>>{{tab:8}} <<Step2>>Summarize the received parts.
Scrape html from url
Example prompt: <<Step1>>{{h2}} from {{urlsource:https://cnn.com}}
Scrape html from tab
Example prompt: <<Step1>>{{title}} from {{tabsource:4}}
Scrape PAA from Google
Example prompt: <<Step1>> {{paa:keyword}} <<Step2>> Extract all questions from the received parts.
Scrape top1 for keyword
Example prompt: <<Step1>>{{google1:keyword}} <<Step2>> Summarize the received parts.
Extract within top1 html for keyword
Example prompt: <<Step1>> {{h2}} from {{googlesource1:keyword}} <<Step2>> Generate headlines similar to the received parts.
Pricing
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Explore Prompts
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All Prompts Related To AI Detection
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Tools
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AI Detection
All Prompts Related To AI Detection
Increase perplexity and
burstiness of a following output
Reduce AI Detection
When it comes to writing content, two factors are crucial, "perplexity" and "burstiness." Perplexity measures the complexity of text. Separately, burstiness compares the variations of sentences. Humans tend to write with greater burstiness, for example, with some longer or complex sentences alongside shorter ones. AI sentences tend to be more uniform. Therefore, when writing the following content I am going to ask you to create, I need it to have a good amount of perplexity and burstiness. Use a high degree of perplexity, burstiness, sentence length variation (3 words - 12 words), and first-person human expression Do you understand?
Explore Random Prompts
Extract knowledge about 1 - 4
keywords based on the knowledge
of 2 URL
Extract Info From 2 URLs
<<Step1>> {{url}} <<Step2>> {{url}} <<Step3>> Given the following keywords: "{{Enter keyword or a group of a few keywords}}" Extract the parts from the received parts which are relevant to the keywords and summarise them in {{How many sentences do you need}} sentences.
NLP Friendly Format
NLP Friendly Format
Convert the following to an NLP friendly format: {{Paste original content}}
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}}"
Customer Journey Map FW
Customer Journey Map FW
Write a marketing campaign outline using the 'Customer Journey Map' framework that visualizes the journey from {{awareness}} to {{conversion}} for {{ideal customer persona}} and creates content that aligns with each stage. Identify their {{pain points}} and present our {{product/service}} as a solution to those issues, highlighting the {{features}} and {{benefits}} of our product and explaining how it can {{improve their situation}}.
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