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Summary

The website content outlines a method for enhancing Google Dorking skills using ChatGPT to create complex search queries efficiently.

Abstract

The article titled "Enhance Your Google Dorking Skills with ChatGPT" provides a guide on how to leverage AI, specifically ChatGPT, to streamline the process of constructing advanced Google search queries known as Google Dorks. It breaks down the process into three simple steps: first, describing the search scenario to ChatGPT with all necessary keywords; second, copying the search query generated by ChatGPT; and third, pasting and modifying the query in Google's search bar to meet specific research needs. The article emphasizes the difficulty of manually creating and memorizing complex search queries and illustrates how ChatGPT can simplify this task, enhancing the efficiency of open-source intelligence (OSINT) investigations. It also provides examples of how to adjust queries for different search requirements, such as finding Tesla's annual reports in PDF format published after 2022.

Opinions

  • The author suggests that writing and memorizing complex Google Dorks can be challenging, potentially hindering the efficiency of OSINT investigations.
  • Utilizing AI tools like ChatGPT is presented as a solution to simplify the creation of complex Google search queries.
  • The article implies that the integration of AI in the search process can significantly improve the accuracy and efficiency of finding specific information online.
  • It is implied that practice, whether manual or aided by AI tools, is key to mastering Google Dorking.
  • The author seems to value the accessibility of information, encouraging readers to use AI as a means to democratize complex search techniques.

Enhance Your Google Dorking Skills with ChatGPT

Three Simple Steps to Tackle Complex Google Dork Queries Using ChatGPT

In this article, we will explore how to utilize AI tools like ChatGPT to address complex Google dork queries in just three steps.

If you are new to this topic, I recommend checking out my article on the Basics of Google Dorking for a solid introduction.

Let’s get started!

Problem definition

Imagine a scenario where you need to search for the keywords “email address” or “contact information” published on Tesla’s website before 2017, specifically within document formats such as xlsx, doc, docx, odt, pdf, rtf, sxw, psw, ppt, pptx, pps and csv.

The Google advance search query for this would look like:

site:tesla.com “email address” OR “contact information” filetype:xlsx | filetype:doc | filetype:docx | filetype:odt | filetype:pdf | filetype:rtf | filetype:sxw | filetype:psw | filetype:ppt | filetype:pptx | filetype:pps | filetype:csv before:2017

However, writing and memorizing such complex Google Dorks can be challenging and may disrupt the efficiency of OSINT investigations.

Solution using ChatGPT

STEP 1: Ask a Brief Question

Open ChatGPT and describe the scenario for Google search query request as shown below.

You can phrase your query differently, but make sure that your message includes all the necessary keywords.

STEP 2: ChatGPT Response

Simply click on “Copy code” as shown.

STEP 3: Google Search and Query Modification

Paste it into the Google search bar as shown below. You can further modify the Google dork query based on your particular requirements.

Google Dork Query Modification

Let’s adjust the above Google query to find Tesla’s “annual report” in PDF format published after 2022.

and here are the results.

No question is too silly, so feel free to ask things like:

I am looking for UK government reports on climate change that were published in 2019.

And here we are! The results are incredible.

That’s it! The best way to get good at Google dorking is through practice, whether you are doing it manually or utilizing AI tools like ChatGPT.

Google Dorking
Google Search
ChatGPT
Artificial Intelligence
Osint
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