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Manually building a cookie declaration is one of the most tedious parts of implementing transparent consent. Each site uses different cookies, embeds, plugins, and analytics tools. Tracking behavior changes frequently, new scripts appear after updates, and many websites unknowingly load cookies that teams were never informed about. Keeping the documentation accurate becomes a constant, manual rewriting task that rarely stays aligned with what the site actually does.
Cookie Declaration removes this burden by generating a complete draft based on real scan data from the AI Privacy Advisor. The system analyses what loads before and after consent under GDPR and the ePrivacy Directive 5(3), then categorizes each cookie by purpose and consent requirements. Essential versus non-essential items are separated, durations are listed, providers are identified, and embedded tools or analytics services are included if detected.
This creates a clear, structured, ready-to-edit Cookie Declaration that reflects your site's real behavior. It reduces manual work, supports transparency obligations across frameworks like CCPA/CPRA, and offers a consistent starting point for teams managing multiple environments.
Built for organizations where data protection meets performance

Behavior-based cookie lists for faster documentation .

Clear categorization of pixels and analytics tools.

Transparent listing for sensitive site workflows.

Structured categories for complex tagging stacks.

Visibility over essential and optional tools.

Behavior-based clarity on non-essential tracking.

Accurate lists generated from real scan behavior.

Updated cookie sets for evolving marketing tools.
The Cookie Declaration feature turns real scan insights into structured, editable cookie content.




Cookie Declaration uses AI Privacy Advisor scan data to generate a ready-made cookie list the moment you open it.



After reviewing the draft, use the Copy button to export the text and update your Cookie Declaration quickly.
Note that AI Auto-Blocking works for plugins and scripts loaded through WordPress’ standard architecture. Scripts hardcoded in theme files are not detected and must be added to blocking rules manually


Real-data alignment
Clear categorization
Behavior-based structureAesirX CMP for WordPress v1.9.0 introduces automated scanning and blocking of cookies and beacons using the new AI Privacy Advisor feature.
READ MOREAesirX CMP JS 1.0.0 brings first-party consent control to any platform, delivering faster, compliant, and privacy-first data management for all websites.
READ MOREExplore the AesirX Consent Management Platform Features Guide to configure tracking, block scripts, and stay compliant with global privacy laws.
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Cookie Declaration uses real behavioral data from the AI Privacy Advisor to identify cookies set before and after consent. This categorization supports clarity across essential and non-essential items. It works naturally with the AI cookie audit tool and reflects privacy documentation based on real scan data for accuracy.
Yes, descriptively. Cookie Declaration structures cookies by purpose, indicating which require consent under GDPR and the ePrivacy Directive 5(3). It helps teams understand purpose-based categorization and works alongside the AI privacy compliance tool, especially when explaining the difference between essential and non-essential cookies.
Yes. Cookie Declaration includes items detected from plugins, embedded media, analytics tools, and chained script requests. This aligns with the AI privacy advisor workflow and functions as an AI tool for website privacy compliance, helping teams understand how to audit cookies on a website based on actual behavior.
Update it whenever tracking changes. Regenerating scans lets Cookie Declaration refresh the list to reflect new cookies or retired trackers. This process fits the model of automated privacy documentation and uses software to audit trackers & privacy risks to maintain accuracy without manual rechecking.
Yes. Cookie Declaration provides a strong, behavior-based draft, but you review and refine it to reflect your actual data practices. This makes it compatible with AI consent & privacy documentation and helps you consider how real scan data improves cookie documentation, without implying legal assurance.