Creating content at scale with ChatGPT, Claude, Gemini, and others is increasingly dubious for search engine optimization.
Over the past year, Google has updated and expanded its guidelines for AI-generated content, stating:
- For organic search success, produce original, high-quality, people-first content demonstrating EEAT — experience, expertise, authoritativeness, and trust.
- Using generative AI tools or other similar tools to generate many pages without adding value for users may violate Google’s spam policy on scaled content abuse.
The new guidelines also encourage publishers and businesses to disclose AI use in content creation so readers know the origin. In my experience watching Google combat aggressive ranking tactics, these guidelines may soon become required.
Other signs suggest Google is working to detect and filter AI-generated content from search results. The company announced a tool allowing users to quickly detect it.
A Google staff analyst, Abhinav Mathur, published a research paper in June 2026 stating the web faces “an exponential challenge in detecting and mitigating the flood of AI-generated ‘slop’ and synthetic spam.” The paper proposes several methods for detecting AI-generated content.
Yet AI-created content is a reality.
Here’s how to do it right.
EEAT
Google has long described what it values in web copy: first-hand experience and expertise.
Google’s Search Quality Rater Guidelines (PDF) address those standards via EEAT. The guidelines also emphasize the importance of “effort” in creating content.
Generative AI platforms repurpose content without adding anything new — no personal experiences, opinions, or observations.
Take Grokopedia, for example, the AI-generated version of Wikipedia from Elon Musk’s xAI. It launched in October 2025 and ranked prominently in Google search results, generating millions of clicks. However, Google acted almost immediately and dramatically reduced Grokopedia’s visibility.
The lesson is to use 100% AI-generated content for SEO with caution. It will inevitably lose organic search visibility because Google seeks original, high-effort content.
AI Dos and Don’ts
The best use of generative AI for content creators seeking search-engine traffic is ancillary components repurposed from human creativity, such as:
- Meta descriptions.
- YouTube video descriptions and accessibility summaries.
- Product descriptions based on specs, not marketing-speak.
- FAQ blocks based on the human content.
- Charts based on statistics or proprietary data.
- Content outlines or table of contents.
- Title tags.
- Comparison tables based on your unique research.
- Content briefs.
- Press releases.
Even then, a human should review all AI content for accuracy.
Do not use AI for:
- Full articles purporting an author’s original insights, experience, or expertise.
- Social media posts. AI slop annoys users. Use social media for authentic human conversations.
- Legal documents. Generative AI platforms can produce basic documents. It has passed law exams. But its accuracy relies heavily on the prompts. Only a lawyer should rely on it for legally binding content, including website privacy policies and terms of use. A layperson could use the tool for an initial draft and then consult with an attorney.
- Listicles. GenAI platforms repurpose existing lists and thus possess no expertise or experience. Instead, paste your original list into ChatGPT and ask for missing components.
