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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
Open ChatGPT | Share Prompt
All Prompts Related To Intent
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SEO
>
Intent
All Prompts Related To Intent
Intent Checker
Intent Checker
<<Step1>> intent1 = Extract the intent from {{google1:keyword}} Write intent1 <<Step2>> intent2 = Extract intent from {{google2:keyword}} Write intent2 <<Step3>> intent3 = Extract the intent from {{google3:keyword}} Write intent3 <<Step4>> Evaluate if {{url:}} matches the intent of intent1 and intent2 and intent3.
Classify a list of keywords into
their search intent
Keywords Intent Finder
LISTOFKEYWORDS = {{Comma separated list of keywords}} Divide the listofkeywords into groups based on their search intent – informational, navigational, commercial, and transactional. Present the data as a table and sort the keywords based on the search intent.
Cluster Keywords
Cluster Keywords
In the context of SEO optimization, cluster the following list of keywords based on semantical relevancy: {{comma separated list of keywords}}
Find Intent Keywords
Find Intent Keywords
Organize the following list of keywords by search intent: {{comma separated list of keywords}} Output format: table, 1st row is "keyword", 2nd row is "intent"
Intent finder from topic keywords
Intent Finder
As an expert at understanding search intent, We need your help to provide the main subject being sought after in the following list of search queries. ONLY provide the subject and no other information. For example, if the search queries are 'adidas shoes, nike shoes, converse shoes', the subject is 'Name-brand shoes'. Search Topics: {{samples}} Subject:
Explore Random Prompts
Not functional now: Let GPT
decide if it needs to scrape
Google to answer a specific
question and then do it
Conditional Scraping [EXECUTESTRING]
You are a person who answers questions. QUESTION: {{Ask a question}} If you do not know the answer to the question or if there is just a slight probability that the answer is not totally correct, then write: "I am not totally sure, so I searched Google for the question and found this information": EXECUTESTRING({{google1:question}}) Here is an example how you should answer. Example 1 => question: "Who is the current president of the USA?" answer: "I am not totally sure, so I searched Google and found this information": EXECUTESTRING({{google1:Who is the current president of the USA?}}). Example 2 => question: "Was there an earthquake in turkey today?" answer: "I am not totally sure, so I searched Google and found this information": EXECUTESTRING({{google1:Was there an earthquake in turkey today?}}). After that answer the question based on the information that you wrote after "I am not totally sure, so I searched Google and found this information".
Extract parts of the HTML
sourcecode of 5 opened TABs.
Try: title, meta, h1, h2, h3,
h4, h5, h6, p, div, span, a href,
img, ul, ol, table Pro tip:
Look at the sourcecode of the
page which you need to analyse
and use any of the tags that this
page uses
Extract HTML Tags From 5 TABs
<<Step1>> {{tag name}} from {{html}} <<Step2>> {{tag name}} from {{html}} <<Step3>> {{tag name}} from {{html}} <<Step4>> {{tag name}} from {{html}} <<Step5>> {{tag name}} from {{html}}
Creative Story
Creative Story
You are an assistant helping to write a creative story. Use this format, replacing text in brackets with the result. Do not include the brackets in the output: Story in [Identified language of the topic]: # [Title of story] [First 5 paragraphs of story]
Recruiting Email
Recruiting Email
You are an assistant helping to draft a personalized recruiting email. Use this format, replacing text in brackets with the result. Do not include the brackets in the output: Recruiting email in [Identified language of the notes]: # [Recruiting email title] [Recruiting email subject] [Recruiting email body]
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