AI has sped up content production in an unprecedented way. But “fast production” and “good content” aren’t the same thing. While brands that use AI correctly get ahead, those who use it without supervision lose both user trust and visibility.
Risks
- Unsourced and incorrect information. AI can produce incorrect information that looks true (“hallucination”). If you publish it without supervision, it harms your brand’s credibility.
- Lack of originality. Content everyone produces with the same tool, all looking alike, doesn’t stand out and adds no value.
- Lack of depth. Content that looks correct on the surface but carries no real experience or expertise is weak for E-E-A-T.
- The scale trap. The “let’s produce thousands of pages” approach fills your site with thin content and lowers overall quality.
Correct use
AI is an accelerator, not a writer. The correct approach:
- Human supervision is essential. Every piece of content should be reviewed and verified by a subject expert.
- Add sources. Support claims with credible references; verify the “facts” AI produces.
- Add original value. Add your own data, experience and perspective.
- Prefer quality over quantity. A little deep and accurate content beats a lot of shallow content.
What does Google say?
Google states that it looks at content’s quality and whether it adds value to the user rather than how it was produced. So using AI isn’t a problem; producing unsupervised, worthless content is the problem.
Our approach
In our content and authority work, we use AI as a tool; but every piece of content is prepared under expert supervision, with verified sources and in an original way. We don’t do unsupervised bulk production.
Summary
AI speeds up content production but doesn’t produce good content on its own. Its risks are incorrect information, lack of originality and the scale trap. Correct use is possible with human supervision and real value. To see the quality of your content, you can start with a content audit.