Cancel
Artificial Intelligence, Search Engine Optimization

AI Impact on Search: Can Google Detect AI Tools?

by Laney SpearsMarch 2, 2023
Share

With all the buzz on AI-generated copy and design tools, we’re all wondering the same unspoken question: Can Google detect AI tools? Is this…allowed? Or looked down upon? With more and more companies beginning to leverage AI-powered tools for their marketing needs we are all wondering whether speed and efficiency may come at the cost of SERP rankings. 

The answers to these questions are muddled, but here’s what we do know: Google itself relies on advanced algorithms and machine learning to detect and evaluate the quality of website content. The entire purpose of search engines is to provide users with the most relevant and useful content possible, hence our society has become so search engine dependent on everything from research to daily needs. Google algorithms are designed to identify and flag low-quality or spammy content.

Google’s spam policy stance defines “Spammy automatically generated (or “auto-generated”) content as content that’s been generated programmatically without producing anything original or adding sufficient value; instead, it’s been generated for the primary purpose of manipulating search rankings and not helping users.”

Historically, auto-generated content generated by machine learning scrips has had a reputation of being lower quality and overstuffed with keywords aimed at manipulating Google’s search results. This has led Google initiatives to detect this type of content and remove it from the SERPs in an attempt to preserve the integrity of its search results for the end user. 

Google Search Central has stated that “scraping content, even with some modification, is against our spam policy.” As well as confirming that Google has put implemented, “…many algorithms to go after such behaviors and demote site scraping content from other sites.”

Prioritizing high-quality, human-generated content on Google results provides a better search experience for users and maintains their credibility. But with the rise of the new AI tools that promise more natural and higher quality outputs, marketers and writers have the opportunity to utilize these tools to generate higher quality, more helpful content for the users rather than an endless amount of spam content. Quality over quantity has become the universal goal for AI generators and users. 

Therefore, the content generated by GPT-3 and other AI language models like ChatGPT, is at risk of being detected as machine-generated and flagged by Google’s algorithms. Like recognizes like, so there’s a good chance that machine learning algorithms will recognize similar machine learning. As far as technology has come, it will never be a complete substitute for human intellect. The writing style, grammar, and sentence structure of AI-generated content are often not as natural or accurate as human-generated content.

Editing has become the name of the AI game. It’s important to make sure that any content generated by AI models like ChatGPT is carefully reviewed and edited by a real person before being published on your website. This helps ensure that it meets Google’s quality standards and policies, and accurately reflects the subject. If you are choosing to leverage AI tools on your website it’s important to make sure that your website is balanced with plenty of original and unique content, so that it complies with Google’s policies in terms of user experience, design, and navigability.

Whether or not search engine consequences currently exist for websites leveraging AI-generated content has not been confirmed, nor denied by Google. For any company seeking to rank high in search engine results, it’s better to be safe than sorry and maintain a close human eye on your SEO strategy, from content to keyword selection. Contact Bluetext for more information on our expert search engine optimization services. 

Frequently Asked Questions (FAQ)

Can Google actually tell if my site uses AI-generated content?

Google uses a mix of algorithms and machine learning to evaluate content quality and detect spammy patterns. It doesn’t punish content simply for involving AI, but it does demote auto-generated, low-value text meant to manipulate rankings. If AI is used, you should review, edit, and enrich it so it’s accurate, original, and helpful. Focus on user value over volume, and you’ll stay aligned with Google’s policies.

What's the difference between helpful AI-assisted content and spammy auto-generated text?

Helpful content adds original insight, accurate facts, and a clear purpose for users, even if AI helps draft it. Spammy text is produced programmatically to stuff keywords, scrape others’ work, or churn out thin pages at scale. Google’s spam policies target the latter, not responsibly edited AI output. A strong editorial review process is the key separator.

Will using tools like ChatGPT hurt my rankings by default?

No; Google ranks the usefulness and originality of content, not the tools you used. What hurts rankings is low-quality, derivative, or misleading content designed to game search results. Use AI to brainstorm, outline, or accelerate drafts, then have humans fact-check, localize, and personalize. Pair AI assistance with expertise and clear sourcing to protect performance.

How should I mitigate risk if my team leans on AI for content production?

Establish editorial standards: human review, fact verification, and brand voice checks. Track originality with plagiarism tools, cite sources, and avoid scraping or rewording existing pages. Balance AI-assisted pages with fully original thought leadership, data studies, or case stories. Continually monitor performance and user metrics to refine your approach.

Does Google's stance on AI content change how I approach SEO?

It reinforces long-standing fundamentals: quality, intent alignment, and user experience beat shortcuts. Build topic authority with well-structured information, unique value, and reliable citations. Use AI for efficiencies, but let subject-matter experts add depth and context. Over time, this mix earns trust signals that algorithms reward.

What practical checklist can I use before publishing AI-assisted articles?

Confirm factual accuracy, add examples or data unique to your organization, and ensure the piece answers a real user need. Remove fluff and keyword stuffing, and check reading flow and brand tone. Add internal links, schema if relevant, and a clear call to action. Finally, run it through a human editor to sign off on quality.