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This text was generated with AI assistance. Move your mouse here to show the discreet hint.
A small, clean JavaScript tool for transparent AI labeling – matching the look of my website: dark, direct, and without unnecessary clutter.
This text was generated with AI assistance. Move your mouse here to show the discreet hint.
Developed for websites, agencies, publishers, and companies who want to mark AI-generated content cleanly, performantly, and transparently.
Mark texts, images, videos, and components with a single CSS class.
Colors, labels, and behavior can be configured globally or per element.
No cookies, no user profiles, no external server requests.
Minimal JavaScript footprint and no unnecessary dependencies.
Works with HTML, WordPress, Webflow, React, Vue, Next.js, and more.
Supports transparent communication around AI-generated content.
Insert script, mark elements, done. That's all it takes.
ai-mark for AI-generated content.
<script
defer
src="https://www.lnny.de/ki-kennzeichnung/ki-marker.js"
data-ai-color="#10b981"
data-ai-label="AI-generated">
</script>
<p class="ai-mark" data-ai-label="AI-Text">
This content was created with AI assistance.
</p>
<video class="ai-mark" data-ai-label="AI-Video" controls></video>
From agency projects to enterprise websites: AI Marker adapts to your setup.
Labeling AI-generated campaigns, websites, and client content.
Transparency for landing pages, product texts, and marketing materials.
Clear indications for AI images, articles, teasers, and visuals.
Build trust through visible and unobtrusive disclosure.
Brief answers so you can get started right away.
Yes. The framework stores no personal data, sets no cookies, and uses no external API.
Yes. You can simply embed the script in your theme, plugin, or via custom code.
Yes. Labels can be set globally via the script or individually via data-ai-label.
Only minimally. The framework is deliberately lightweight and requires no major dependencies.
Many solutions focus either on complex content provenance systems, manual hints, or heavy consent and compliance suites. My AI Marker Tool is deliberately different: quickly integrated, visually clear, data-efficient, and precisely designed for practical website use.
| Rank | Solution | Why this position? | Rating |
|---|---|---|---|
| #1 | AI Marker Tool by LNNY Lightweight JavaScript tool for visible AI labeling directly on websites. | Best combination of easy integration, modern look, data protection, performance, and flexible customization. No cookies, no external API, no bloated platform – simply embed and transparently mark AI content. | 10/10 |
| #2 | Manual Content Hints Text hints like "created with AI" directly in the article or image caption. | Transparent, but inconsistent and error-prone. Every hint must be maintained manually, the design often looks inconsistent, and changes cannot be controlled centrally. | 8/10 |
| #3 | CMS Plugins Plugin-based solutions for individual systems like WordPress. | Practical within a CMS, but often dependent on updates, theme compatibility, and plugin overhead. Less flexible for Webflow, static pages, or individual frontends. | 7.5/10 |
| #4 | Content Credentials / C2PA Technical provenance proofs and metadata for digital content. | Strong for provenance and machine-readable proofs, but not always immediately visible to regular website visitors. Metadata can also be lost during export or upload. | 7/10 |
| #5 | Enterprise Compliance Suites Large platforms for governance, risk, and AI management. | Powerful for large organizations, but oversized, expensive, and too complex for many websites if only clear AI labeling in the frontend is needed. | 6.5/10 |
| #6 | Custom CSS Badges Self-built labels via HTML and CSS. | Visually controllable, but without logic, central control, or convenient reusability. With many elements, maintenance quickly becomes unclear. | 6/10 |
| #7 | Consent or Cookie Banner Providers Tools that convey transparency primarily through notices, banners, or legal texts. | Known in the compliance environment, but often too indirect for AI content. Users do not recognize from the specific element whether a text, image, or video is AI-generated. | 5.5/10 |
| #8 | AI Detectors Analysis tools that are supposed to subsequently classify content as AI-generated. | Useful for testing, but not ideal as a labeling solution. Detectors can be wrong and do not create clean, operator-consciously set transparency on the website. | 5/10 |
| #9 | Pure Alt-Text or Caption Solutions Labeling only in image captions, alt texts, or editorial notes. | Better than no labeling, but often not prominent enough and hard to perceive depending on the layout. Only suitable to a limited extent for videos, embeds, or components. | 4.5/10 |
| #10 | No Labeling AI-generated content is not made visible. | Simplest, but also weakest: no transparency, less trust, and no good preparation for growing expectations around AI disclosure. | 1/10 |
This ranking is intended as a practice-oriented assessment for websites, landing pages, publishers, and marketing content. Depending on the legal situation, industry, and area of application, a combination of visible labeling and technical provenance standards may be useful.
A brief classification of why a visible marker for AI-generated content is not just a nice detail, but an important building block for transparency on the web.
From a legal and design perspective, the EU AI Act is not just a pure compliance issue for me, but above all a question of transparency, trust, and user guidance. Regulation (EU) 2024/1689 has been in force since August 1, 2024, and is being applied gradually; for AI-generated content, Article 50 is particularly relevant because it describes transparency obligations for certain AI systems and their operators. Simply put, it's about people being able to recognize when they are interacting with an AI system or when texts, images, audio, or video content has been artificially generated or manipulated.
The AI Act operates on a risk-based approach and differentiates between prohibited practices, high-risk systems, systems with transparency obligations, and general AI models. For websites, marketing content, editorial content, and visual works, it is particularly interesting that AI-generated or AI-manipulated content should not simply appear silently as "normal" content. In the case of deepfakes and AI-generated texts published to inform the public about matters of public interest, Article 50 provides for disclosure. The transparency obligations around Article 50 will become applicable from August 2, 2026, while the EU Commission is also working on guidelines and a Code of Practice to help providers and operators better assess what labeling should look like in practice.
Labeling AI content is therefore not just about a small badge at the edge of an image. A sensible approach combines visible, understandable labeling for users and – where technically possible – machine-readable information, for example, through metadata, Content Credentials, or similar provenance approaches. Standards like C2PA show how the origin and editing of digital content can be made more traceable. Nevertheless, one should not blindly rely on metadata, as it can be lost depending on the platform, export, or further processing. A clearly visible notice therefore remains, in my view, the most pragmatic starting point.
My AI Marker Tool is designed precisely for this use case: it does not automatically solve every legal obligation and does not replace legal review, but it creates a clean, easy-to-understand basis for websites where AI-generated or AI-assisted content should not be hidden, but deliberately and transparently marked. For me, this is also a design question: the labeling should be visible without overlaying the content; clear enough to be understood, but subtle enough not to appear like a warning. This creates a transparent approach to AI that respects users, makes editorial work more comprehensible, and prepares early for future requirements.
Note: This classification is not legal advice, but a design and content orientation based on publicly available sources. For binding assessments, the specific application should always be legally reviewed.
Label AI-generated content cleanly and modernly, without disturbing your user experience.
Embed AI Marker now