Many companies are unaware how much AI-generated content already exists on their website. Before implementing EU AI Act labeling obligations, you need a systematic inventory. This article describes the audit methodology.
Why an AI Content Audit?
Since ChatGPT entered daily workflows, AI-generated text flows into blog articles, product descriptions, FAQ sections, and landing pages — often without central documentation. An AI content audit creates clarity about the status quo and forms the foundation for compliance implementation.
Four-Step Audit Methodology
Step 1: Inventory. List all content assets: blog articles, product texts, landing pages, FAQs, newsletter archives, social media posts.
Step 2: Classify AI involvement. For each asset: fully AI-generated, AI-assisted, AI-translated, or fully manual. Consult responsible authors and check internal documentation.
Step 3: Risk assessment. Prioritize: fully AI-generated public content highest, AI-assisted content medium, internal documents lowest.
Step 4: Action plan. Define required measures per risk level: machine-readable labeling, internal documentation, or no action needed.
Typical Findings in SMEs
Product descriptions in online shops are often the largest category. Blog articles from the past one to two years frequently contain significant AI involvement. FAQ sections were often created with AI assistance without documentation.
Result: The AI Content Matrix
The audit produces a matrix documenting AI involvement, risk level, and required measures for each content type — serving as working basis and compliance evidence.
FAQ
How long does an AI content audit take? For a typical SME website with 50 to 200 pages: two to five working days.
Must I label content created before the AI Act took effect? Labeling obligations apply to all content published as of the effective date. Retroactive labeling is therefore recommended.
