Why do you need to be careful when using AI?

Why Has Google Cracked Down on External AI-Generated Content

Google isn’t targeting AI-generated content, rather its aim is to cleanse search results of redundant, unoriginal content, regardless of its human or AI origin. With Google’s latest update, Google seeks to eliminate websites that offer little value while promoting those with meaningful content.

1. Quality and User Experience

Google prioritises user experience and aims to provide high-quality search results. When it comes to AI-generated content, Google evaluates it based on several factors:

E-A-T (Expertise, Authoritativeness, Trustworthiness)

Google emphasises E-A-T as a critical ranking factor. Content generated by AI should still demonstrate expertise, authoritativeness, and trustworthiness. If AI-generated content lacks these qualities, it may not rank well, regardless of whether it was created by ChatGPT or any other model.

Content Originality.

Google’s algorithms detect duplicate or low-quality content. If AI-generated content is repetitive, lacks uniqueness, or closely resembles existing content, it may be penalised. Websites that rely solely on AI-generated text without human editing risk falling into this category.

2. Transparency and Attribution

Authorship Attribution

Google places importance on knowing who created the content. Even if ChatGPT generates the text, websites should attribute it to a human author (e.g., a company representative or a team member).

Providing clear authorship information helps build trust with users and search engines.

Disclosure of AI Involvement

Transparency matters. If AI tools like ChatGPT were used in content creation, websites should disclose this fact to readers.

However, relying solely on AI without any human review can lead to homogenised content that search engines may suppress.

3. Google’s Own AI Models

Google develops and uses its own AI models, including Gemini, for various purposes. Here are some considerations

Gemini and Spam Detection

Google employs classifiers to differentiate between human-generated and machine-generated text. These classifiers help monitor AI-generated content on the web.

Gemini, Google’s multimodal AI model, has evolved over time and plays a role in spam detection and content quality assessment.

Google’s Caution

Google’s cautious approach stems from a desire to maintain control over its AI models. By offering AI freely on its own platforms, Google ensures quality and consistency.

External websites using AI models may not adhere to the same standards, leading to potential issues with content quality and user experience.

In summary, Google’s crackdown on external AI-generated content is driven by a commitment to quality, transparency, and user satisfaction. While Google develops and uses its own AI models, it expects external content creators to follow best practices and prioritise user needs. Balancing innovation with responsible use remains a challenge.