Should You Really Use AI to Create SEO Content in 2024?

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Official statement

John Mueller doesn't like artificial intelligence when it comes to content creation. This is evident from his latest tweets. Examples: "Summit Gupta: Should we now use ChatGPT to publish content on our website? It gives 80% unique content. John Mueller: Is that like food with only 20% toxic chemicals? Appetizing" or also "Vakil Keyfari: I have a law website in Iran in Farsi. Do you think if I use AI to produce content in English, then translate it into Farsi by editing some parts myself, I could have problems? John Mueller: If you had an important legal case, would you want your lawyer to use ChatGPT and Google Translate to defend you?"

Source : Search Engine Roundtable

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Official statement from April 11, 2023 (3 years ago)

⚠ A more recent statement exists on this topic Is SEO Really Dying with the Rise of Artificial Intelligence? John Mueller · January 2, 2024 View statement →

What you need to understand

This statement reveals a significant tension between the personal positions of certain Google representatives and the company's official policy regarding AI-generated content.

John Mueller uses provocative metaphors to express his personal skepticism about using AI in content creation. His comparisons with toxic food or a lawyer using ChatGPT illustrate his mistrust regarding the quality of produced content.

However, Google's official position is more nuanced and pragmatic: AI is allowed as long as it doesn't serve to manipulate search results and the content remains useful and qualitative.

Crucial distinction: personal opinion vs. Google's official policy
AI is allowed if the content is useful and of quality
Prohibition only in case of SERP manipulation
The responsibility for final quality remains that of the content creator
Necessary vigilance on facts, errors and editorial quality

SEO Expert opinion

This divergence between personal discourse and official policy is not insignificant for SEO practitioners. It reveals that Google evaluates the final result, not the production method.

In practice, we observe that sites using AI in an intelligent and supervised manner do not suffer penalties. On the other hand, those publishing AI content en masse without human editing often see their performance stagnate or decline.

Mueller's metaphor about "20% toxic" is actually very telling: raw AI content indeed contains approximately 20-30% problematic elements (inaccuracies, generalities, artificial phrasing). This is precisely what must be edited and enriched by human expertise.

Warning: Don't confuse authorization with recommendation. Google allows AI but still values expertise, experience and originality (E-E-A-T criteria) which remain difficult to reproduce by AI alone.

Practical impact and recommendations

Here's how to integrate AI strategically into your content production without risking a penalty:

Use AI as an assistant, not as the final writer: structure, angle research, first drafts
Systematically edit all AI content: verify facts, add your expertise, personalize the tone
Enrich with your experience: real case studies, proprietary data, unique insights
Avoid unedited mass production: prioritize quality over quantity
Test the added value: does your content provide more than a simple ChatGPT answer?
Don't translate blindly: adapting is not translating, respect cultural nuances
Maintain E-E-A-T consistency: demonstrate expertise, experience, authority and trustworthiness
Monitor your metrics: time on page, bounce rate, conversions indicate perceived quality

In summary: AI is a powerful tool to accelerate content production, but it requires expert human supervision to ensure quality and compliance. The editing, verification and enrichment process represents at least 40-50% of the total work. This hybrid approach requires advanced SEO skills and a fine understanding of Google's quality criteria. For companies looking to develop an ambitious content strategy while minimizing risks, support from a specialized SEO agency can prove valuable to establish the right processes and train teams in best practices.

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