The SEO game hasn’t just evolved; it has been fundamentally transformed. Bloggers who have built their content strategy around making complex facts digestible must acknowledge that even basic AI tools now perform this function.

In the broader context, blogs are generally categorized into YMYL (Your Money Your Life) and Non-YMYL topics. Google defines YMYL content as topics that could significantly impact the health, financial stability, or safety of people, or the welfare or well-being of society. (1)

If your blog is YMYL, it likely discusses topics based on facts from government and university sites. You produce content that is easy to read, well-structured, and thoroughly referenced. So, what’s the issue with being thorough?

Nothing, except for how AI can accomplish this in seconds and often more efficiently by delivering the facts from original references with a decent readability output. When a user queries an AI, like ChatGPT here, it follows the outlined process below:

Data Collection: Gathering data points tailored to your specific search (prompt) intent.

Data Processing: Filtering out inaccurate or irrelevant data and transforming text into numerical values.

Model Training: Making predictions based on your inputs (prompts) and producing outputs (labels).

Stay with me! I promise to make this more engaging! Once the above processing is complete ChatGPT employs its browsing capabilities for paid users to add references for each claim. Do you see where this is going? A near-perfect answer (search result) for each prompt (keyword) gives you the reference links so you can verify the result you see. Indeed, SEO is becoming obsolete, and Google now has more significant concerns.

Transitioning Existing Website SEO for AI – How to Adapt Your Website to AI

Now that we understand that changes are necessary, let’s discuss how to implement them.

Using AI as Leverage for Your Website

I wouldn’t call myself a “prompt engineer,” but I’ve spent considerable time testing prompts for SEO. You see, search engines don’t require publishers to avoid AI. Google’s stance can be summarized as follows:

FOR NEW ARTICLES

“I don’t mind if you use AI assistance when planning your content, but please do not publish content that AI generates.”

Confusing?

Those who believe Google won’t detect AI-generated content are wasting their time. Google employs NLP algorithms capable of distinguishing between AI-generated and human-generated content.

So, how can one utilize AI assistance in content production?

Prompts are crucial. Depending on its use, AI is just a tool that can be your greatest asset or your downfall. AI works on a simple principle of input (prompt) and output. Thus, the input you provide largely determines the output.

Here’s the ideal process for generating content with AI assistance:

  1. Complete your first draft.
  2. Use the following prompt in ChatGPT Plus:

Identify factual inaccuracies in the text provided and correct them. Only provide direct replacements for incorrect information ready for direct use; do not include clarifications, contextual expansions, or enhancements. List each inaccuracy alongside its concise correction. Preserve the original tone and maintain the word count

This prompt will produce an output showing your original inaccuracies and the corrected versions beneath them. You now have an accurate first draft. 

  1. Next, enhance the credibility of your article’s claims by copying the corrected sections and submitting this prompt:

Provide me with credible reference URLs for the parts you corrected.

Make sure to manually check the content reference links provided by AI, as they make mistakes more often than one would think. If your articles fall into the YMYL category, Following this prompt will result in a factually solid article. 

  1. It’s now time to finalize your article:

Detect inaccuracies only and give me replacement text under each part that needs correction. Concise corrections only. No need for clarification or enhancements. Provide the original parts you correct and their replacements. Preserve the original tone and maintain the word count.

You might wonder, “Why not combine all the prompts and do this simultaneously?” The reason is that I prefer AI to correct me rather than produce the content for me. With this process, you grant AI minimal autonomy to add NLP patterns to your article. Remember, you aim to be original and human-written, but get AI assistance to speed up the production of your accurate and grammatically correct content.

FOR EXISTING ARTICLES

I approach existing articles differently. You want to be careful about what AI fixes or updates you make to avoid piling up your website with AI patterns. The importance of accuracy trumps authenticity for articles written purely for instructions, such as how-to and recipe articles. Of course, it’s better to have both, but inaccurate steps are why search engines ignore your articles.

Please review the provided article text for accuracy and make any necessary corrections to ensure factual reliability. Correct any grammatical errors you identify. It’s crucial to retain the original structure and detailed content of the article as much as possible. Please aim to maintain or closely match the original word count to avoid creating thin content issues, ensuring the revised text is enriched and comprehensive. The HTML source code should remain unchanged:

For regular articles

Fact check and give me replacement text under each part that needs correction. Provide the original parts you correct and their replacements:

Tables (new or existing articles):

If your tables can be exported in Excel

Upload your Excel to Excel plugin on chatGPT along with the following prompt:

Replace inaccurate cells with correct ones and provide me with a summary of the changes you make

If you have an HTML table you can simply copy and paste the table’s HTML and use the following prompt

Replace inaccurate cells with correct ones and provide me with a summary of the changes you make

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Ugur Gulaydin

Visionary Chief Marketing Officer with a profound quantitative background excels in leading transformative marketing strategies across competitive B2B sectors like cybersecurity, managed IT services, home automation, and cloud security. Specializes in assembling and guiding elite teams to pioneer performance marketing techniques, focusing on measurable, scalable outcomes.

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