Other AI Tools Detector — Gamma, Cloud AI & More

Detect AI-generated content from Gamma AI, Cloud AI, Dola AI, Arena AI, You.com, Poe AI, and hundreds of other AI tools — all with one free detector.

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Emerging AI Models We Detect

Beyond the major AI players — ChatGPT, Claude, Gemini — a rapidly growing ecosystem of specialized AI tools produces text that students, journalists, and content verifiers need to identify. Our detector covers the full spectrum of AI writing, including many emerging and niche tools that other detectors miss.

Gamma AI is a presentation and document creation AI that generates slide content, summaries, and structured documents. Gamma's outputs are highly structured — typically organized as slide-ready bullet points and headers — and tend to favor concise, visually scannable text over flowing prose. If you receive a document that reads like slide notes rather than an essay, Gamma is a likely source.

You.com is a privacy-focused AI search engine that generates response summaries similar to Perplexity. You.com outputs tend to be shorter, more direct, and slightly less citation-heavy than Perplexity, but share the web-synthesis style. The underlying models vary by subscription tier but typically include GPT-4 or Claude.

Poe AI is Quora's AI aggregation platform that provides access to ChatGPT, Claude, Llama, Gemini, and many other models through a single interface. Poe-generated text reflects whichever underlying model was used — most commonly Claude or GPT-4 variants. The distinctive Poe signal is usually the characteristic patterns of whatever underlying model was selected.

Dola AI is a calendar and scheduling AI assistant primarily deployed in messaging apps. Its outputs are typically short, task-oriented, and highly structured — calendar confirmations, event summaries, scheduling suggestions. Dola text is usually easy to identify by its extreme brevity and task-management format.

Arena AI (also known as LMSYS Chatbot Arena) is a research platform where users compare outputs from multiple AI models. Texts from Arena often reflect experimental or fine-tuned model outputs that don't fit neatly into any single model category. Our detector analyzes statistical patterns that persist across model variants.

Cloud AI tools — including various enterprise AI services on AWS Bedrock, Google Cloud AI, Azure OpenAI, and other cloud platforms — typically wrap established models (Claude, GPT-4, Llama) with custom system prompts. The underlying model patterns remain detectable even through these cloud wrappers.

Why All AI Shares Common Patterns

Despite the proliferation of AI tools — hundreds of products with different names, brands, and interfaces — the text they produce shares deep structural similarities. This is because the vast majority of AI writing tools don't build their own underlying models. They use one of a small number of foundation models and wrap them with custom interfaces, prompts, and branding.

The major foundation models powering most AI writing tools in 2025 are: OpenAI GPT-4/4o (powering ChatGPT, Copilot, and dozens of third-party apps), Anthropic Claude (powering Claude.ai, Perplexity Pro, and many enterprise tools), and Meta Llama (powering Meta AI and thousands of open-source deployments). When you use a tool like Poe, Quill, Jasper, or Copy.ai, you're usually interacting with one of these foundation models with a different UI on top.

This means our detector can identify AI-generated content even from tools we've never explicitly trained on — because the core vocabulary fingerprint, sentence rhythm, and structural patterns of the foundation model persist through any wrapper. A GPT-4-based marketing tool will still exhibit ChatGPT's vocabulary patterns. A Claude-based essay assistant will still hedge with "it's worth considering."

The exceptions are tools that apply extensive post-processing, humanization, or fine-tuning — but even these leave statistical traces that deviate from human writing distributions in ways our detector can identify.

Trending AI Tools (2025)

The AI tools landscape is evolving rapidly. Here's what's trending in 2025 and how our detector handles these emerging tools:

  • Speed AI tools: A new generation of ultra-fast AI writing assistants prioritizes low latency over quality. These tools typically use smaller, faster models (Llama 3.2, GPT-4o Mini, Gemini Flash) and produce shorter outputs. Detection on these shorter outputs is slightly less accurate but still reliable for 150+ word samples.
  • Cloud AI growth: Enterprise cloud AI adoption is exploding in 2025. AWS Bedrock, Google Cloud AI, and Azure OpenAI are now used by major corporations to generate internal documents, emails, reports, and customer communications. Corporate cloud AI typically uses Claude or GPT-4 — our detector covers both underlying models.
  • Arena AI and model comparison tools: Research platforms that compare multiple AI models simultaneously are producing hybrid outputs that researchers and students increasingly use. These texts often combine characteristics from multiple models, making detection more complex — but the statistical AI signature is still present.
  • Specialized writing AI tools: Tools like Jasper (marketing), Copy.ai (copywriting), Writesonic (SEO content), and Notion AI (documents) all produce text with the characteristic patterns of their underlying foundation models. Our detector's foundation-model-aware approach handles all of these.
  • AI video script and presentation generators: Tools like Gamma AI, Beautiful.ai, and Tome generate structured text for presentations and scripts. This content is usually highly formatted, bullet-point-heavy, and concise — patterns our detector handles alongside longer-form text analysis.

Frequently Asked Questions

Can your detector identify AI from any tool, not just the major ones?

Yes, with an important caveat: our detector works by identifying the writing patterns of foundation models (GPT-4, Claude, Llama, Gemini), not specific products. Since virtually all AI writing tools use one of these foundation models, detecting the foundation model pattern effectively covers the tool. If a tool uses a proprietary model not based on any of the major foundations, detection may be less reliable — but such tools are currently rare.

What is Gamma AI and how does its writing differ?

Gamma AI is a presentation creation tool that generates slide content, documents, and websites from prompts. Its writing is optimized for visual presentation — short bullet points, bold key terms, scannable headers, concise sentence fragments. This structure is significantly different from the flowing prose of ChatGPT or Claude, making Gamma outputs easy to identify by their presentation-like formatting even without AI detection tools. Our detector handles both the structural and statistical signals of Gamma outputs.

Does the detector work on AI-humanized text?

AI humanization tools (QuillBot Humanizer, Undetectable.ai, etc.) attempt to rewrite AI text to evade detection. Light humanization — swapping synonyms and rearranging sentences — typically doesn't defeat statistical detection because the underlying perplexity and burstiness patterns remain. Heavy humanization (rewriting 60%+ of content) is more challenging and may reduce detection accuracy. Our detector reports a confidence score, so borderline cases are clearly flagged rather than incorrectly classified.

How often is the detector updated for new AI tools?

We update our detection models regularly as new AI tools gain traction. Major model releases (like DeepSeek R1 in early 2025 or new Claude/GPT versions) typically require model updates within weeks of release. Our detector remains effective on new models between updates because the foundational patterns are learned from model architecture, not just training data samples.

Related AI Detectors

For the most accurate results with specific AI models, use our model-specific detectors alongside this general tool: