enerated content – To label or to not label? //

Did you know that an astounding 85.1% of marketers use AI to produce their content?

Are you required to tell search engines and your readers that an AI bot generated your content with the rise of AI-generated content?

Many people have asked this question as AI platforms enable them to create content that is near-perfect.

Is it necessary to label AI-produced content?

Does this benefit both publishers and readers?

These are the questions that we will be answering in this article.

What is AI Labeling?

AI labeling is simply letting people understand if an article of content was created using artificial intelligence.

Marking your content “AI-generated”, so that your users are aware of the artificial intelligence involved in its creation, is all you need to do.

Labels can include a watermark, byline, tag or any other type of label. This label indicates that AI created the content.

Why is it important?

AI is increasingly being used to create content on the internet. Even if AI did notgenerate the content, it could have played a part in research and development.

Here we have to cross a muddy water, namely whether AI-generated material should be labelled as such. This will help readers understand what they are reading.

What does Google think about AI labeling from the point of view of SEO?

Does AI labeling really matter? Google’s view

Many policymakers such as the European Union advocate for AI labeling.

Google, however, takes a very different approach when it comes time to label content as AI generated.

It’s surprising that the largest search engine would do this.

It is even more important that Google takes its E.E.A.T standards very seriously.

How does AI-generated content fit into this?

• Google prioritizes quality over origin: Google gives more weight to the original source of content than the quality.
• Google is a big advocate of user experiences. Labels can detract.
• Authority is a major factor. The authority of a website and the author of a content piece are both important.

What does this all mean for AI generated content?

Google doesn’t consider AI labeling a necessity.

This does not affect any of the factors used to rank content.

It’s important to create useful content and optimize for rankings.

What is Google’s policy on AI-generated content and how does it treat it?

Google’s ability to detect AI-generated content has been a popular question about the topic.

Yes, that is the simple answer.

Does it really matter?

Google does not care if the content is AI generated or written by humans. It’s important that you write your content for humans first, and that it meets E-E.A.T standards. Also, that the search-quality-rating guidelines are followed.

If your AI-generated material is useful, it will rank. On the other hand, content that is written by humans solely for the purpose of ranking high in the SERPs will notrank.

Google does not really consider the source of content, but rather its quality and intention.

AI Labeling is not necessary but the human touch it is

Does this mean that you can copy AI-generated texts and paste them into your CMS if AI labeling is not necessary?

No!

Even though AI-based content creation tools are improving, it is still necessary to give each piece of content a human touch before publishing.

Human editors are required to verify the facts and ensure that every piece of content has a high level of quality. These can change quickly, especially if you work in a fast-paced field. Human fact-checkers are needed.

You should also add a personal touch because Google’s algorithms, and rankings signals, are heavily based on content created by humans.

It is important to use natural language when creating content with AI.

AI policies could evolve as AI becomes mainstream

AI is not the future.

This is here to stay.

policies and frameworks that guide its use will be updated, particularly in regards to ethics, accountability and transparency.

Transparency will focus on platforms like social media and others that post a lot images.

The purpose of this is to counter misinformation that spreads through fake images and videos. They can be misleading and more difficult to verify than written content.

Is it time to consider AI Labeling?

We have looked at AI Labeling and what the major brands and policymakers say about it.

We’ve now come full circle back to the original question that led us here – Is AI labeling required?

Here’s how I see things:

AI labeling is not necessary if you are publishing AI content that includes your human touch and maintains quality.

You may still want to take this into consideration depending on context, subject, and the content that you are sharing. All it takes is good judgment.

The article AI generated content: To Label or Not to Label? first appeared on Search Engine land.