AI & Content · Free tool
AI Detector
Most AI detectors look at token probability patterns: text written by language models tends to be statistically predictable in ways human writing is not. The results are probabilistic, not certain, but they can flag content that needs a second look before you publish.
SEO, GEO & AEO: why this checklist matters
Who should use this
Editors reviewing writer submissions, instructors checking student work, and SEO leads auditing content farms should have this in their workflow.
Rankings, AI answers, and citations
Google's helpful content guidance focuses on whether content was written for people, not machines. AI-detected text isn't automatically penalized, but thin or unedited AI output tends to fail the quality signals that support rankings. For AI citation (GEO and AEO), model-generated copy without human review often lacks the specific claims and source attribution that answer engines prefer to cite.
What to verify before you ship
- Run the check on the final draft, not the raw output
- Look at sections flagged with highest confidence first
- Rewrite or annotate flagged passages with specific examples or sources
- Re-check after editing to confirm the score has moved
What you can expect next
Use this workflow on drafts and live URLs. For continuous monitoring across Google and AI surfaces, pair results with Linkstonic SEO audit, AI tracking, and TrueTrace.
Frequently asked questions
Written for search snippets, People Also Ask-style surfaces, and answer engines that quote short Q&A units.
Are AI detectors accurate?
They vary. Most use perplexity and burstiness scores, which work reasonably well on pure AI output but produce false positives on technical writing, legal text, and non-native English. Treat results as a signal to investigate, not a verdict.
Can AI detectors be fooled?
Yes, by paraphrasing, adding specific details, varying sentence length, and inserting first-person observations. The same edits that fool detectors also tend to make the content genuinely better.
Does Google penalize AI content?
Google's guidelines say they evaluate content quality, not production method. AI content that is accurate, helpful, and well-edited can rank. Thin or unedited AI content tends to underperform on quality signals regardless of origin.
What score is considered safe?
Thresholds differ by detector. A score under 20% on most tools is generally considered low-risk. Anything above 50% warrants a review pass before publishing.