Update (May 2026): Two and a half years after we first published this post, the conclusion is even more obvious, and the landscape around it has changed dramatically. Google rolled out AI Overviews in 2024, every major publisher now uses LLMs in some part of their workflow, and "AI detector" scores have become the standard cargo-cult metric. Below is the original case, plus what's actually changed since.
In a 2023 Google blog post, the search team made it very clear that they do not specifically penalize AI-generated content. Instead, they "reward high-quality content, however it is produced." Nothing in Google's subsequent guidance, through the August 2023, November 2024, March 2025, or 2026 core updates, has reversed that position.
AI detectors remain a waste of time and money. They focus on the wrong thing. Instead of thinking in terms of "AI-generated or not," think in terms of whether your content is helpful or not. Google has consistently said this is what they actually measure.
Of course, as the owner of KoalaWriter, I am a bit biased. But I only built an AI writing tool after it was clear that Google does not specifically penalize AI-generated content, and the last three years of update data have only reinforced that.
What's actually changed since 2023
- AI Overviews launched (May 2024). Google now generates AI summaries at the top of millions of result pages. They cite "the open web", content from sites that follow Helpful Content principles, regardless of how it was produced.
- AI detector accuracy has gone down, not up. Modern models (GPT-5, Claude 4) produce text that defeats the heuristics detectors were trained on. False-positive rates on human-written text now routinely exceed 30% in independent benchmarks.
- Google's spam policy was updated (March 2024) to focus on "scaled content abuse", not AI per se. The distinction is volume + intent (gaming search) versus producing helpful content at scale. AI tools can do either.
Key Points from Google's Original Guidance
These quotes are still the canonical reference for Google's stance, and nothing newer contradicts them.
- "Our focus on the quality of content, rather than how content is produced, is a useful guide that has helped us deliver reliable, high quality results to users for years."
- "AI has the ability to power new levels of expression and creativity, and to serve as a critical tool to help people create great content for the web."
- "Poor quality content isn't a new challenge for Google Search to deal with. We've been tackling poor quality content created both by humans and automation for years."
Source: Google Search's guidance about AI-generated content (February 8, 2023)
Resources on Helpful Content and EEAT
I would recommend reading Google's guide on Creating helpful, reliable, people-first content first.
Next, read Google's Spam policies for Google web search to make sure you are not in violation. Violating any of these spam guidelines will make you much more likely to be penalized in a future Google update or even have your site deindexed at any time.
After you are familiar with the spam policies, take a read through the comprehensive Search Quality Evaluator Guidelines to understand EEAT. This is a 173 page PDF directly from Google that is used to train contractors who rate pages. These ratings in turn help train the algorithm that decides where to rank pages in the index. Personally, I find this guide incredibly helpful because it even shows specific examples of pages that are considered "lowest quality" all the way up to "highest quality" so you can get an idea of exactly what they are looking for.
What to do instead
- Focus on E-E-A-T signals you control. Author bios with real credentials, original photos or screenshots, citations to primary sources, and updated dates on evergreen posts move the needle far more than any "humanizer" pass.
- Edit for accuracy, not for "human-ness." Use AI to draft and research, then verify every fact, statistic, and source. That's the actual differentiator on AI-Overview-saturated SERPs.
- Track AI-Overview citations as a KPI. Being cited in an AI Overview drives qualified traffic and signals topical authority, and it almost never goes to "low-quality AI spam."
- Use a workflow that adds value humans alone can't. KoalaWriter's Deep Research mode pulls live SERP data and primary sources at generation time so the draft is grounded in reality, not pre-training data.
If you want to stay up-to-date with how the AI-content landscape is evolving, register for a free account. You'll get 5,000 free words to try it yourself.
