Information Density: MAC Cosmetics (Canada) – Signal Evidence & AI Readability

MAC Cosmetics (Canada)

(https://maccosmetics.ca) 📸 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 non-existent, with the char_count of 202 providing only technical error strings. The H1 Access Denied contains no industry-specific nouns or power words, while the body text is entirely composed of generic server-side permission warnings. There are zero instances of specific evidence, such as exact numbers, named ingredients, or measurable results, resulting in a maximum penalty for specificity absence. The ratio of substantive business claims to generic text is 0:1, as no business claims are present in the dataset.

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.ca) Access Denied
[H1] Access Denied

You don't have permission to access "http://maccosmetics.ca/" on this server.
Reference #18.4d4bdd58.1780194116.18499ecd
https://errors.edgesuite.net/18.4d4bdd58.1780194116.18499ecd
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…