lorealparis.pt shows strong AI visibility with an ACRI of 79/100, outperforming 91% of indexed domains. Compared to other infrastructure sites (avg score: 57), lorealparis.pt performs above the benchmark, suggesting strong competitive positioning in AI search. While the majority of content is server-rendered, the 30% ghost ratio suggests some content remains hidden from static crawlers. The 5.6× token bloat ratio falls within the normal range, though there is room to trim navigation, footer, and script overhead. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.
🧮 Score Transparency — How is this calculated?
📊 ACRI Sub-Scores (AI Readiness Detail)
lorealparis.pt ranks much higher on Google (Tranco Top 50%+) than in AI search (Top 9%). This is the 'Visibility Gap' pattern — implementing the recommendations above can help close the AI gap. ACRI measures technical crawler readiness. Read the methodology →
Why lorealparis.pt ranks here
Fastest improvements
- Reduce token bloat (navigation/footer/code) so agents reach your main content faster (see Token Bloat).
- Create an
llms.txtfile so AI crawlers can discover your content structure without heavy crawling. Generate llms.txt → - Run a full entropy audit to find which DOM regions waste the most tokens. Run Entropy Audit →
⚠️ Crawl Failed: Anti-Bot Protection Detected
Fetch failed (network timeout / connection error)
The scores below may not reflect actual site quality. The crawler received a challenge page instead of real content.
Traditional SEO
34/100 25 % of Global Score 🟢 High Confidence📝 Title Tag
Optimal range: 30–60 characters for SERP display.
📋 Meta Description
Optimal range: 120–160 characters for snippet control.
🔤 Heading Hierarchy
- ✗ Exactly 1 <h1> tag — found 0
- ✓ Has <h2> headings — found 8
- ✗ <h2> not before <h1>
🔍 Indexability
- ✓ Canonical tag present →
https://www.lorealparis.pt - ✓ No noindex directive
- ✓ Meta viewport set
- ✓ HTML lang attribute →
pt-PT - ➖ Hreflang tags — N/A (single language site)
- ✓ Googlebot allowed by robots.txt
🌐 Social / OpenGraph
- ✓ og:title — Maquilhagem, Cuidados de Pele, Cabelos & Men - L'Oréal Paris..
- ✓ og:description — Descubra todos os produtos de Maquilhagem, Cuidados de Pele, Men & Cabelos na homepage de L'Oréal Paris e conheça o conteúdo exclusivo da Beauty Magazine.
- ✗ og:image
- ✓ twitter:card — summary_large_image
📐 How the SEO Pillar score is calculated
SEO Pillar = Title (20 pts) + Meta Desc (20 pts) + Heading Hierarchy (20 pts) + Indexability (20 pts) + Social/OG (20 pts)
Each sub-score is derived from the checks above. Canonical tag, lang attribute, og:image, and a single H1 are the highest-impact items.
AI Readiness / GEO
65/100 40 % of Global Score 🟢 High ConfidenceThis pillar aggregates citation share, hallucination risk, bot access, schema health, and content extractability. The individual diagnostic sections below contribute to this score.
Is AI lying about your brand? This panel measures how likely LLMs are to hallucinate facts when extracting information from your page.
🤖 Bot Access Matrix
👻 Rendering (Ghost Ratio) Docs
📊 Structure & Information Density Docs
🏷️ Schema Health Docs
Schema Coverage Map
📐 AI Efficiency Metrics Docs
Token Bloat Research
Multimodal Readiness
TDM Rights
🔥 Structural Entropy Check Research
🔬 AI-Crawler Simulation
See your website the way AI crawlers do. CSS stripped, structure labeled, content chunked.
Toggle to "AI Agent View" to see what GPTBot, ClaudeBot, and other AI crawlers actually extract from this page.
AI Answer Preview
NEWSee how AI models summarize your site. Left: your actual content. Right: what the LLM extracts and says about you.
🔧 Tech Stack
Performance & Speed
59/100 20 % of Global Score 🟢 High Confidence⏱️ Time to First Byte
Google considers <200 ms "good". AI crawlers may have even shorter timeouts.
📦 Page Weight
DOM nodes
HTML payload
🗄️ Cache & CDN
- ✓ Cache-Control header →
public, must-revalidate, max-age=600 - ✓ CDN cache status →
HIT - ✓ CDN detected → cloudflare
🔬 Tracker Tax
tracker scripts
third-party domains
token overhead
📐 How the Performance Pillar score is calculated
Perf Pillar = TTFB (35 pts) + Page Weight (25 pts) + Cache/CDN (20 pts) + Tracker Tax (20 pts)
TTFB <200 ms = full marks. DOM >3000 or payload >300 KB incurs heavy penalties. Tracker scripts beyond 5 reduce score.
Architecture & Trust
93/100 15 % of Global Score 🟢 High Confidence🗺️ Sitemap & Robots
- ✓ Sitemap declared in robots.txt →
https://www.lorealparis.pt/sitemap.xml - ✓ Googlebot allowed
- ✓ GPTBot allowed
- ✓ ClaudeBot allowed
🔗 Linking
internal links
external links
🔒 Security & Trust
- ✓ HSTS header (Strict-Transport-Security)
- ✗ Content-Security-Policy header
- ✓ HTTP status 200 OK (got 200)
♿ Accessibility Signals
- ✓ HTML lang attribute → pt-PT
- ✓ Meta viewport for mobile
- ✗ Single H1 for screen readers
📐 How the Architecture Pillar score is calculated
Arch Pillar = Sitemap & Robots (30 pts) + Linking (25 pts) + Security (25 pts) + Accessibility (20 pts)
Having a valid sitemap, allowing AI bots, HSTS, and a good internal link count are the highest-impact items.
🏅 AI-Verified Trust Badge
Your site is currently blocking AI crawlers. Unblock them and rescan to earn your AI-Verified badge.
<a href="https://seodiff.io/radar/domains/lorealparis.pt" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=lorealparis.pt" alt="AI-Verified by SEODiff" width="280" height="52"></a>
💡 Paste in your site footer, GitHub README, or email signature. Badge updates automatically as your score changes.
� Deep Crawl Analysis 10 pages · Deep-10
Homepage scores 38, but internal pages average only 3 — a -35-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.
Poorly formatted tables or pricing grids on 1 page will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.
| Page | Type | ACRI | Token Bloat | Words | Status |
|---|---|---|---|---|---|
| pricing | 34 | 7156.0× | 12 | ⚠️ RAG Fracture | |
| pricing | 0 | 0.0× | 0 | ✓ | |
| about | 0 | 0.0× | 0 | ✓ | |
| product | 0 | 0.0× | 0 | ✓ | |
| docs | 0 | 0.0× | 0 | ✓ | |
| blog | 0 | 0.0× | 0 | ✓ | |
| social-proof | 0 | 0.0× | 0 | ✓ | |
| integrations | 0 | 0.0× | 0 | ✓ | |
| support | 0 | 0.0× | 0 | ✓ | |
| support | 0 | 0.0× | 0 | ✓ |
| Path | Pages | Avg ACRI | Ghost % | Bloat | Top Issue |
|---|---|---|---|---|---|
| /about/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /pricing/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /blog/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /contact/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /faq/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /integrations/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /case-studies/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /docs/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /features/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /products/ | 1 | 34 | 0% | 7155.9× | High JS Bloat |
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🔌 API Access
Pull this data programmatically. All sub-page metrics are available via our public API.
curl https://seodiff.io/api/v1/deep10/domain/lorealparis.ptGet your free API key — 100 requests/month included.
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|---|---|---|---|---|---|---|
| lorealparis.pt (this site) | 38 | 79 | Vue.js | 5.6× | 1 | — |
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📊 Semantic Share of Voice
How often would an AI cite lorealparis.pt when users ask about topics in this domain's niche? We run entity queries through our 188k-page search index and measure citation probability.
Analyzing citation landscape…
Remediation Patches
COPY-PASTEAuto-generated code fixes tailored to lorealparis.pt. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "WebSite",
"name": "Lorealparis",
"url": "https://lorealparis.pt",
"potentialAction": {
"@type": "SearchAction",
"target": "https://lorealparis.pt/search?q={search_term_string}",
"query-input": "required name=search_term_string"
}
}
</script>
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is Lorealparis?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Add your answer here — describe what Lorealparis does in 1-2 sentences."
}
},
{
"@type": "Question",
"name": "How does Lorealparis work?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Explain the key features and how users interact with Lorealparis."
}
}
]
}
</script>
Projected Impact
ROI EST.If you apply the patches above, here's the estimated improvement for lorealparis.pt:
*Estimates based on SEODiff's scoring model. Actual results depend on implementation quality.
📋 Data Export
Download scores and metadata for audits, client reports, or CI/CD pipelines. Exports contain computed metrics only (no copyrighted content).
All data is generated automatically and updated with each crawl. JSON exports contain scores and metadata only (no copyrighted content).
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