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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
Install free plugin
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Explore Prompts
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All Prompts Related To AI Detection
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Tools
>
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
Write a meta description with
current year and/or month and
include emojis that Google
displays (May 2023)
Emoji Meta Description
Write a clickworthy and motivational meta description for SEO for the keyword {{keyword}}} with a call to action and stay within 160 characters. Do not include tags. Sometimes include the current year or a combination of current month and current year, e.g. write something like 05/2023. Only when it makes sense and the emoji is semantically related to the surrounding text include just one of the following emojis: ⭐, ⏩, ✓, ✔️, ❤️, ➡️, ➤, ➕, ✍️, ➨, ▷, ☑️ . Never include more than 1 emoji. Only include emojis that are listed above.
Extract knowledge about 1 - 4
keywords based on the knowledge
of 1 URL
Extract Info From 1 URL
<<Step1>> {{url}} <<Step2>> 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.
The problem solver tries to
develop different solutions for
your problem. Then compares these
solutions with pros & cons, then
it tries to find the best
solution.
Problem Solver
I have the following problem: {{Describe your problem in detail}} Go through the following phases to solve it: 1) Brainstorm step-by-step four distinct solutions while considering various factors. 2) For each of the proposed solutions, evaluate their potential. Consider the pros and cons, initial effort needed, implementation difficulty, potential challenges, and the expected outcomes. Assign a probability of success and a confidence level to each option based on these factors and rank them. Announce the two highest ranked solutions. 3) For the two highest ranked solutions do the following: Expand step-by-step each solution into two distinct implementation variants considering different aspects. 4) For each implementation variant of each solution deepen the thought process and generate potential scenarios, strategies for implementation, and how potential obstacles might be overcome. Also, consider any potential unexpected outcomes and how they might be handled. Assign a probability of success and a confidence level to each implementation variant based on these factors and rank them. Announce the highest ranked implementation variant for each solution. 5) Based on the given solutions and their implementation variants chose the most promising solution with the most promising implementation variant. 6) In the end, summarize the final solution in the final implementation variant. Output format: markdown, ## headlines, important words in bold
Storytelling FW 2
Storytelling FW 2
Write a marketing campaign outline using the 'Storytelling' framework to create a narrative around our {{product/service}}. Use {{characters}}, {{plot}}, and {{setting}} to engage {{ideal customer persona}} and build emotional connections.
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