Crawling the websites
The system started from the URLs in the sitemap and continued through internal links. That is how it discovered 964 unlisted subpages and checked 2,861 pages in total.
CASE STUDY · CUSTOM AI
From 2,861 pages to one overview
Environmental claims are an increasingly important part of brand communication. At the same time, demands on their accuracy, transparency and provability keep growing.
Unilever Food Solutions manages a large amount of online content across product, brand and information pages on both the Slovak and Czech web.
- Industry
- FMCG / food service
- Markets
- Slovakia & Czechia
- Regulation
- Directive (EU) 2024/825
- Cooperation
- 2026
Challenge
Thousands of pages, two markets and new European regulation.
The client manages a large volume of online content across product, brand and information pages on both the Slovak and Czech markets. The project arose in connection with Directive (EU) 2024/825, which tightens the rules for environmental claims in consumer communication. It was necessary to verify whether the Czech and Slovak pages meet the new requirements.
ProblemExpectations
Thousands of pages on the Slovak and Czech markets
A complete audit without manually checking every page
Manual review of texts, banners and product images slow and inconsistent
A fast, repeatable automated process
Claims implicit or embedded in images, keyword search is not enough
Capture claims in both texts and visuals
Uncertainty whether content meets Directive (EU) 2024/825
A basis for verifying compliance with the directive
How we solved it
Content extraction and preparation
From every page we captured headings, product and marketing texts, alternative texts, banners, photos and infographics, keeping their URLs and context.
Three-stage AI validation
Claude Sonnet 4.6 ran a sensitive first scan of texts and visuals. Claude Opus 4.8 independently verified the findings including possible false flags. GPT-5.5 analyzed the content in parallel. Comparing the three outputs revealed matching, disputed and new findings.
Output for expert review
We supplemented the findings with random manual checks and prepared them as a basis for content, marketing and legal revision.
Anthropic, OpenAI
Three independent AI models read 2,861 pages and flagged 314 green claims. Experts now only handle the cases that truly need their attention.
Michal GregušINLOGIO
Even with multi-stage checking, AI cannot be considered an infallible legal or expert opinion. We therefore supplemented the results with random manual checks and prepared them as a basis for further expert review, not as a replacement for a legal decision.
The solution can be extended into regular monitoring that automatically checks new and modified pages and compares them with the previous audit. After adjusting the evaluation criteria, the same process can handle other types of marketing, product or regulatory claims.
analyzed by crawling and AI
241 textual + 73 visual
independently compared outputs
Project outputs
- An XLSX document: a filterable working base with all claims, source URL, finding type, reason for flagging, the AI assessment and a suggested possible edit
- An HTML overview with a visual grid of textual and visual claims including source, assessment and an explanation of the flag
- A centralized content overview including 964 subpages discovered outside the original sitemaps
- Suggested edits prepared for further expert review
- An architecture extensible to regular monitoring and further types of claims
The result was a scalable audit ready for further expert review. In this case AI does not replace expert judgement. It helps find relevant content, organize it and prepare the materials thanks to which experts focus on the cases that genuinely require their attention.
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