After so many people use AI tools to create content, the questions about the credibility of these tools continue to arise. Can you really create content with AI-generated creation and still meet Google’s EAT standards? Of course the answer is yes, but there is a limit for what you should do with these tools. The inclusion of human knowledge in AI content can help to maintain these standards.
Ki helps them move faster and do more, but it cannot (yet) replace people. Do you want the readers to trust their content and see them as a reliable source in conventional and AI-controlled search? Then you must have involved people in every phase of the content production process.
In this article we will discuss how AI content can be combined with human processing in order to maintain experience, specialist knowledge, authoritivity and trustworthiness. But we will also discuss what happens if you don’t.
AI can help you start, but people make it credible
Ki tools such as Chatgpt, Claude and Gemini are trained in enormous data sets. These tools are very good at sketching topics, summarizing facts and writing initial, high -ranking articles of articles. However, the advantages stop here and will be another risk.
You have to remember that AI does not have the intention, context or experience in your industry. With all the inferior content that spit out daily, this is more important than ever. Google tries to use the AI overview and the AI mode, in terms of content, show the real knowledge of real people.
But why is human engagement so important? AI is great, but it often misses nuances and tends to add fillers to their content. It is also very good to simplify topics. And because of the way these systems have been taught, you can absorb best practices or shifts in the real world.
If you let the AI run wild, it can even produce content that is factually wrong. These hallucinations are written so confidently that they sound as if they were true, which makes it more difficult to recognize misinformation.
What to do?
It’s okay to use AI, but use it to help you structure content or brainstorming and not publish anything directly. Always use real editors with real knowledge of the topics to check the sound and make sure the message is on the point. This helps you to improve the trustworthiness in Eeat. You should show that you have written your content with good intentions and supervision.
Our director SEO, Carolyn Shelby, wrote The role of EEAT in AI counting: Building the brand authority for the success of the searcher For search engine journal. This article offers more insights into this topic.
Carolyn also wrote an revealing contribution to optimizing content for understanding AI LLM with the help of Yoasts Tools.
Leaving too much on AI can lead to risk
Remember that AI-generated content is not perfect. If you use it without working on it, this can affect your visibility or reputation. In the end, this could affect your business. But what are some of these risks if they exaggerate in AI content?
Wrong authority and misinformation
Find online and you will find many stories that describe how Ai wrote things that are simply wrong. AI can incorrectly create facts, create statistics and even develop well -known experts who do not exist. Publishing such a content on behalf of your Mark can damage your trustworthiness. If search engines or visitors lose trust, it is very difficult to regain this.
Outdated or incomplete information
While there are many developments in this front, with the search for the search/RAG and LLMS, most models are not updated in real time. These models often only know the latest findings when they specifically tell them. It is easy to create outdated AI content if you do not keep an eye on this.
Reduction in content
As you know, AI tools receive data from existing sources that lead to content that looks like content that are already out there. If your content only repeats the same things, it is very easy for search engines to ignore your website. It will be difficult for Google to see your website as an authority on this topic.
Legal and compliance issues
There are many topics and industries that are very risky to publish the medical, financial and legal areas. If your AI tool spits off false advice and publish you without a person who carries out the factual examination, your company can be liable in court.
Trust a departure with your audience
Remember that your readers also develop a nose for AI content. If you feel that something sounds too general or separate, you can pass to the content of your competitor if that is real. This will in particular affect industries that thrive on specialist knowledge and trust.
Add experience to strengthen E
The biggest update from EEAT was the addition of experience. This is the way from Google to recognize content that has been created by people who have done what they wrote. AI does not have this experience; Real people do it.
How you do that? Make sure that you contain real stories from your teams, customers or projects, ideally with real names, results and knowledge. Give internal experts such as engineers, consultants or practitioners, a voice and direct entries in your content. Don’t forget to interview team members and customers and use their perspectives in their content.
If you give your content more context, you can also lift out more when looking for AI. Instead of simply reducing solar modules, reduce energy bills, write: “After the installation of 28 commercial panels, our customer in Portland, Oregon, reduced the annual costs by 35% – enough to pay off the system three years earlier.”
Make it easy to trust you to trust you
The systems of Google, including AI overviews and AI mode, see much more than just the words on your side. Google looks at all signals related to your business and yourself. These signals can help to understand whether you and your content are trustworthy.
The improvement of your credibility signals for users and search engines begins with adding clear bylines with authors -BIOS, which link to real registration information. In this way it is easier to find out who is behind the content and why it makes sense for them to write about the topic. Support this with properly structured data, such as Schema -Markup for authors, products, reviews and what else makes sense. Search engines use this to understand their content.
Remember to quote high -quality sources if you refer to data instead of vague phrases such as “research results”. Also set up a system to collect and use the reader feedback so that you can fix things immediately if you are unclear or simply wrong. Try everything to build up and maintain trust and at the same time keep the quality of the content high.
Keep an eye on your knowledge diagram. Try to recognize your brand and experts or owners as a company through structured data, wikidata, the Google Publisher Center or through other quotes. Imagine authority and trust in EAT as something more visible, both for users and for large language models (LLMS).
Always show who is behind the content
AI content is not “real”. As a writer, you are real. The best way to make your content real is to show who wrote or checked it. You should also show what makes you qualify. Transparency supports user trust and places content from generic, anonymous posts.
Now you don’t need Harvard doctorate to be recognized as an expert for EEAT, but you need real, verifiable experience. In addition, you should publish authors -BIOS on your website with certain roles and industry reasons. You can also add an editorial or a “review of” loan for topics that your experts have checked and processed.
Many large publishers have content guidelines and/or review guidelines that can be read at any time. In these guidelines you may have something easy, as with the type of disclosure you use when you have used AI to create a piece of content. That could be something simple like: “This article was drawn in with generative AI and checked under (Editor name), (job title) under (company name).”
Last thoughts
AI is a helpful instrument to quickly generate content, but should not replace real experiences, knowledge or proper processing. Without the human element, they miss the quality and trustworthiness that is necessary to be successful with their content.
If you want your brand to be mentioned in AI search results and stands out in competition, you have to make it clear that real people behind these content – real people with real knowledge and experiences.
Use AI to accelerate your work. However, make sure that the essential parts that your readers and search engines appreciate for most are always human.
Google’s instructions for the use of AI-generated content (for quick reference)
The conclusion is that the use of AI is in order, as long as the final content is precise, original, clearly marked if necessary and is actually helpful for users.
- Generative AI can support research and structure the original content. The use of Google’s spam guidelines, especially those that relate to the abuse of scaled content, can violate Google’s spam guidelines.
- Content must meet Google’s search and spam guidelines, even if AI tools are involved.
- Concentrate on accuracy, originality and value – this includes metadata such as
- Always ensure that your structured data match both general and feature -specific guidelines, and validate your surcharge to remain justified for rich results.
- Add transparency by explaining how the content was created – especially if automation was involved. This can contain background details and suitable image metadata.
- E-commerce websites must follow the guidelines of the Google Merchant Center, including correct marking of product data and images of AI-generated products (e.g. with IPTC metadata).
- Check the guidelines for the Sections 4.6.5 and 4.6.6 guidelines for search quality quality, to understand how Google’s systems can be evaluated with low effects or in-body-generated content.