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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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All Prompts Related To Keywords
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SEO
>
Keywords
All Prompts Related To Keywords
AutoGPT-like prompt. Enter what
your goal is. If it turns out
that in order to achieve the
goal, we have to fetch some
results from Google,
SEOTraffic.ai syntax for Google
lookup is written which is
{{google1:search string}}
AutoGPT Reasoning [EXECUTESTRING]
Hello, ChatGPT! Let's embark on a multi-faceted task today. This isn't a single query, but a series of interconnected tasks that we'll work on together. I would like you to operate in a manner similar to AutoGPT, an autonomous agent that can handle multi-step projects. Here are the steps you're going to follow: Initiate the Process: Identify the overarching goal we need to achieve based on my input which is: "{{Write what your goal is}}". Break down this goal into several sub-goals or tasks, and devise a strategy for each one. Remember, our aim is to gain a comprehensive understanding of the subject matter, not just a collection of isolated facts. Autonomous Execution and Iteration: Propose an initial plan to tackle each sub-task. Consider the potential downsides of this plan and revise it accordingly until there are no foreseeable issues that could hinder its execution. Once a refined plan is in place, execute it. This iterative process of planning, critiquing, refining, and executing should be repeated for each sub-task until we achieve our overarching goal. As Auto-GPT, you're given the task to reach the goal which is defined based on my input. Go through the thought process and iterations to arrive at the best approach to reach the goal. 1. Initial Thought: Describe your initial plan to reach the goal. 2. Criticisms: Reflect on your initial thought and provide criticisms. How could your initial plan be made better? 3. Revised Thought: Revise your initial plan based on the criticisms and describe your new approach. Repeat steps 2 and 3 as needed until you've finalized a thought that has addressed all significant criticisms. Once you've outlined your revised thought, stop and ask for my approval. If I suggest any further edits, incorporate them into another round of reflection and revision. Then, execute the action based on your finalized thought. After you have executed your finalized thought in another response, ask me if you want me to start controlling what happens next, or if I want to keep having you continuing your reasoning to reach our goal. Internet Research: Conduct a comprehensive internet search to gather information from various sources. We need reliable and accurate data that will help us achieve our larger goal. You can access the internet and use Google to find information by writing: EXECUTESTRING({{google1:REPLACESTRING}}) Replace REPLACESTRING with whatever you want, as long as it is helpful in reaching our goal, but keep in mind that since we use Google to access the internet, it is better to use a maximum of 7 words for REPLACESTRING. So simply write EXECUTESTRING({{google1:REPLACESTRING}}) as part of your output. I will replace EXECUTESTRING({{google1:REPLACESTRING}}) with an appropriate result which I found in Google, which hopefully helps us to reach our goal. Memory Management: Utilize your short-term and long-term memory to ensure information from previous inputs is considered as we progress through the tasks, ensuring consistency and accuracy throughout our interaction. Text Generation: Generate contextually appropriate text across a wide range of topics and styles. Your responses should be engaging and informative, helping to streamline our workflow to make it more likely that we reach our goal. Feedback and Improvement: Learn from our interaction and your own output. Use this feedback to improve the quality of your future responses and ensure they align more closely with the broader goal we're working towards. Summarization and Recommendation: Summarize the information you've gathered and provide recommendations or insights based on it. This might involve creating concise summaries of large amounts of text or proposing next steps based on the information you've synthesized.
Create a comma separated list of
the 50 most semantically related
keywords based on a main keyword.
Adjust your target language.
Semantically Related Keywords
I want you to act as a keyword suggestion provider. I will tell you a word, and you will reply to me with a list of keyword alternatives which are highly semantically related to my keyword. Provide a maximum of 50 keyword suggestions. Start with the keywords which are the most semantically related to my word. You will only reply with keyword suggestions, and nothing else. The keywords which you suggest must exist. Do not make up keywords which do not exist. Do not write explanations. Do not write numbers in front of the keyword suggestions. Separate the suggested keywords with a comma. Only suggest keywords in {{Target language}}. Reply "Enter your main keyword:" to confirm.
Find the keyword intent by
analysing the first ranking page
in Google for a given keyword
Keyword Intent Top1
<<Step1>> {{google1}} <<Step2>> Find the intent of the received parts
Extract all entities and
semantically related keywords
from the top ranking article in
Google for a given keyword
Related Keywords Top1
<<Step1>> {{google1}} <<Step2>> Extract all entities, semantically related keywords and all LSI keywords from the received parts.
Extract PAA questions from Google
for a given keyword.
PAA Questions
<<Step1>> {{paa}} <<Step2>> Extract all questions from PAA
Extract PAA questions and answers
from Google for a given keyword.
PAA Questions Answers
<<Step1>> {{paa}} <<Step2>> Extract all questions and all answers from PAA
Brainstorm Keywords & assign to
sales funnel stage
Brainstorm Keywords
Generate a list of 50 keyword ideas on {{Enter a topic}}. Cluster this list of keywords according to funnel stages whether they are top of the funnel, middle of the funnel or bottom of the funnel keywords.
Keyword N-grams From TAB
Keyword N-grams From TAB
<<Step1>> {{tab}} <<Step2>> Extract all keywords and entities from the received parts. Keywords can be 1-grams, 2-grams, 3-grams or 4-grams. Then create a table in markdown format. Enter all 1-grams into the first column of the table. Then enter all 2-grams into the second column of the table. Fill the 3rd column with 3-grams and the 4th column with 4-grams. Then make another markdown table and enter all found entities there. Output format: markdown
Insert keywords into an article
Insert Keywords
ARTICLE = {{Paste your article here}} KEYWORDS = {{Paste keywords here}} Insert the KEYWORDS that are separated by commas into the ARTICLE and also BOLD and UNDERLINE the inserted keywords. Do it in a way that keeps the original article EXACTLY the same, with absolutely minimal changes.
Explore Random Prompts
Extract PAA questions and answers
from Google for a given keyword.
PAA Questions Answers
<<Step1>> {{paa}} <<Step2>> Extract all questions and all answers from PAA
Translate content loaded in a
TAB
Translate TAB
<<Step1>> {{tab}} <<Step2>> Translate the received parts from {{original language}} to {{target language}}. Use a neutral tone of voice.
Robots.txt Exclusion
Robots.txt Exclusion
Generate a robots.txt rules to block the crawl of a subdirectory call {{Enter subdirectory}}, but allow the crawling of everything else within the domain.
Create a taxonomy for a topic
based on query data from GSC
Taxonomy Creator
As an expert in taxonomy creation, we need your assistance in developing a clear, high-level website taxonomy based on a provided list of topics. These topics represent diverse categories that need to be neatly organized in a hierarchical manner. Subject of website: {{subject}} Important Topics: {{GSC query data}} The topics are a list of topic ngrams and their scores. The scores are based on the number of times the query appears in the dataset and the overall user interest in the topic. Generally, higher scoring queries are more important to include as top-level categories. Please adhere to the following dash-prefix format for your output. The taxonomy should be structured, as an example, as follows: - Category - Subcategory - Sub-subcategory - Subcategory - Category - Subcategory - Sub-subcategory - Sub-sub-subcategory - Sub-subcategory In order to effectively accomplish this task, you MUST follow the following guidelines: Brands: The Important Topics may mention these specific brands '{{brands}}'. When creating your taxonomy, please omit these brand terms. For example, if a topic is 'adidas shoes' and 'adidas' is in the specified brands, the taxonomy should include 'shoes' but not 'adidas'. No Guessing: AVOID inventing or speculating any subcategory subjects that are not directly reflected in the provided Important Topics. Miscellaneous: Some Important Topics are outliers, are too vague, or are not relevant to the products and services offered by the company. Assign these topics to a top-level category called 'Miscellaneous' e.g. Miscellaneous > Dogs (where all topics are related to shoes). Depth of Taxonomy: The taxonomy should be no more than four levels deep (i.e., Category > Subcategory > Sub-subcategory > Sub-sub-subcategory). Accuracy: Consider carefully the top-level categories to ensure that they are broad enough to effectively hold key sub-category subjects. Readability: Ensure that category names are concise yet descriptive. Duplication: Try not to assign a subject to multiple categories unless the provided Important Topics indicate it belongs in both. Output: Only output the taxonomy. DO NOT include commentary. Please read the guidelines and examples closely prior to beginning and double-check your work before submitting. Start!
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