Online beauty guides are multiplying, but their content often remains the same: generic routines, lists of trendy products, recycled makeup tips from one season to the next. However, the cosmetics and skincare market is evolving rapidly, with a marked shift towards skincare and European regulations redefining what brands can claim. Comparing the available beauty guide formats allows us to assess what most of them lack.
Skincare vs. Makeup: Where Online Demand is Shifting
According to an analysis by Kantar Media published in July 2026, advertising investments in the hygiene-beauty sector significantly increased in 2024. Skincare for the face and body and hygiene products are driving the market upward, while the makeup segment is declining after three years of growth.
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This shift has a direct impact on online beauty guides. Content focused exclusively on makeup tutorials or seasonal looks is losing relevance in the face of the growing demand for information on active ingredients, skincare routines tailored to skin types, and tests of creams or serums.
| Beauty Guide Format | Skincare Coverage | Detailed Product Tests | Regulatory Consideration |
|---|---|---|---|
| Generalist Guides (like perfumeries) | Partial (by skin type) | Rare | Absent |
| Online Beauty Magazines | Broad but Superficial | Frequent (subjective reviews) | Very Rare |
| Consumer Review Platforms | Variable | Yes (ratings and comments) | Absent |
| Next-Generation Specialized Guides | In-Depth (ingredients, diagnostics) | Yes (testing protocols) | Integrated |
The last category remains the least represented. Most sites limit themselves to product sheets or reviews without explicit methodology. To identify platforms that truly structure their content around skincare and testing, the presentation of the site Pop Your Beauty provides an overview of the type of guide that organizes its sections by category of need rather than by brand.
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European Anti-Greenwashing Directive: What Changes for Online Cosmetic Reviews
The directive (EU) 2024/825, known as “Empowering Consumers for the Green Transition,” comes into effect on September 27, 2026. It directly targets vague or unverifiable environmental claims about products, including cosmetics.
For beauty guides, this directive changes the game on two specific points. Writers who relay mentions like “natural,” “eco-friendly,” or “clean” without verification risk disseminating claims that brands themselves will no longer be able to legally use. A reliable guide must now verify whether environmental claims are supported by a recognized certification.
The second point concerns product testing. An article presenting a cream as “organic” or “green” without mentioning the associated label or standard loses credibility with increasingly informed readers. Review platforms that only provide user ratings without analyzing the actual composition of the product do not meet this requirement.
Criteria to Check Before Trusting an Online Cosmetic Test
- Does the test specify the INCI list (International Nomenclature of Cosmetic Ingredients) of the product, or does it limit itself to a marketing description copied from the brand’s website?
- Are the terms “natural,” “organic,” or “vegan” associated with an identifiable label (Ecocert, Cosmos, Vegan Society) or are they unsubstantiated claims?
- Is the testing protocol described: duration of use, skin type of the tester, application conditions?
- Does the review distinguish between texture, perceived effectiveness, and skin tolerance, or does it boil down to “I love it” or “I don’t like it”?
These criteria allow for a quick sorting of useful content from superficial compilations. A test without a protocol or ingredient analysis provides no more value than a comment on a social network.
AI-Powered Skin Diagnosis: Real Utility and Limitations for Consumers
Several applications and websites now offer AI-assisted skin diagnosis. The tool analyzes a photo of the face to identify skin type, dry areas, imperfections, or signs of aging, and then recommends suitable products.
The angle is appealing, but the limitations are rarely explained in existing beauty guides. An AI diagnosis does not replace a dermatological opinion, especially for reactive skin or issues like eczema, rosacea, or inflammatory acne. The algorithm works on a two-dimensional image, without data on skin history or ongoing treatments.
What AI Diagnosis Does Well and What It Doesn’t Cover
The automated diagnosis correctly identifies visible characteristics: oily areas, fine lines, superficial pigmentation spots. It coherently directs users towards product categories (moisturizing, mattifying, anti-spot) in most cases.
However, it does not detect intolerances to certain ingredients, does not take into account drug interactions, and does not differentiate between simple dryness and dermatitis. Using AI diagnosis as an initial filter before consulting a dermatologist remains the most reasonable approach.
An online beauty guide that integrates this type of tool gains in utility if it clearly explains these limitations. Offering a diagnosis without warning creates a false impression of medical accuracy.
Cosmetic Composition: Reading an INCI List Without Scientific Training
The INCI list appears on every cosmetic product packaging sold in Europe. Ingredients are listed in descending order of concentration. The first five usually represent the majority of the formula.
The challenge for a non-specialist consumer lies in the Latin and chemical nomenclature. Aqua (water), glycerin (basic moisturizer), cetearyl alcohol (texture agent, not a drying alcohol): these common terms often lead to misunderstandings. Confusing a stabilizing fatty alcohol with a drying alcohol can lead to dismissing products that are perfectly suitable for sensitive skin.
Guides that provide a contextualized INCI glossary, linked to skin types and skincare routines, offer value that simple product sheets do not cover. It is on this type of content that specialized platforms distinguish themselves from online sales sites.
The market for online beauty guides is increasingly segmenting between disguised promotional content and resources that document their recommendations. The implementation of the anti-greenwashing directive accelerates this separation. Readers who cross-reference information on ingredients, testing protocols, and the limitations of automated tools have an effective filter to identify guides that deserve their time.