Information Density: MAC Cosmetics – Signal Evidence & AI Readability

MAC Cosmetics

(https://maccosmetics.ch) 📸 Data Snapshot: May 31, 2026
Information Density — The Lens

Classify each sentence as substantive or hollow. Grounding markers — numbers, currencies, dates, technical units, named entities — outweigh marketing adjectives. When fluff sits right next to hard evidence, the fluff is forgiven.

Info Density Power-words vs. Substance ratio.
15 Impact Weight: 30 / 100
50% Reputation

The Information Density is fundamentally compromised as the site yields zero business-related text, focusing instead on a 202-character technical block. The H1 ‘Access Denied’ contains no marketing power words, but the body substance ratio is 10/10 for fluff because there are zero specific nouns, numbers, or brand claims relative to the technical jargon. There are zero instances of specific evidence such as named frameworks or measurable outcomes, resulting in the maximum specificity absence penalty. The site repeats no value propositions, but only because it fails to state even one.

Information Density is read straight from the body copy: how much of the text carries grounded, checkable substance versus hollow filler. Below is the clean text the engine analyzed, then the industry’s known generic-claim patterns to weigh it against.

📝 The Narrative — clean text per page (the substance-vs-filler signal)
HOMEPAGE · THIN (https://maccosmetics.ch) Access Denied
[H1] Access Denied

You don't have permission to access "http://maccosmetics.ch/" on this server.
Reference #18.34011502.1780194084.1e08e4f8
https://errors.edgesuite.net/18.34011502.1780194084.1e08e4f8
202 chars
🧭 Industry Context — common generic-claim patterns in Beauty, Cosmetics & Personal Care to weigh the text against
Generic Claims: visible results, transform your skin, unlock your natural beauty, trusted by millions, the secret to radiant skin, look younger in days…
Red Flags: before-and-after photos with different lighting or makeup, clinical claims without study citations, proprietary blend hiding ingredient concentrations, celebrity endorsement without FTC disclosure, transformation timelines without disclaimer, anti-aging claims promising reversal of biological aging…
Semantic Drift Patterns: homepage claims clinical-grade but ingredients page shows basic cosmetics, claims natural and clean but ingredient lists include synthetic compounds, homepage targets luxury market but pricing is drugstore-level, claims dermatologist-developed but no dermatologist is named…
Proof Expectations: full ingredient lists (INCI format), specific clinical study references with sample sizes, named dermatologists or formulators with credentials, before-and-after with methodology disclosure, specific percentages of active ingredients, third-party lab testing documentation…