psi.ch 46 D
🛡️ SEO 31 🤖 GEO 49 ⚡ Perf 68 🏗️ Arch 35

psi.ch — Global SEODiff Score 46/100

psi.ch
📊

AI crawlers face major barriers indexing psi.ch, resulting in a low 18/100 ACRI rating that demands urgent attention. Compared to other education sites (avg score: 57), psi.ch is trailing the benchmark, indicating room for competitive improvement. The low ghost ratio (5%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. The token bloat ratio sits at a lean 2.4×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. Zero schema blocks puts this site at a disadvantage in knowledge graph and AI-answer pipelines that rely on explicit structured data. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

46
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Traditional SEO (31) has the most room for improvement.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Mar 4 Mar 21
🔔 Recent AI Indexing Activity
📉 Mar 4 ACRI -29 (58→29)
Does your site score higher than psi.ch?
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)31 × 0.25 = 7.8
🤖 AI Readiness / GEO (40% weight)49 × 0.40 = 19.6
⚡ Performance (20% weight)68 × 0.20 = 13.6
🏗️ Architecture & Trust (15% weight)35 × 0.15 = 5.2
Weighted sum = 7.8 + 19.6 + 13.6 + 5.2
Global SEODiff Score = 46 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
0
Structure
avg 35
0
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 5%
Rank #51574
+56 pts
Gap
AI (ACRI)
Top 61%
Score 18/100

psi.ch punches above its weight in AI — AI visibility exceeds Google ranking. This is a competitive moat worth protecting. ACRI measures technical crawler readiness. Read the methodology →

Why psi.ch ranks here

Tech stackCustom / Proprietary
Industryeducation
RenderingSSR
Schema coverage0 blocks
Token bloat2.4×

Fastest improvements

  • Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
  • Create an llms.txt file 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 →
🧪

JavaScript Rendering Check

We check what AI crawlers miss when they skip JavaScript execution.

Running headless browser to simulate AI extraction…
🛡️

Traditional SEO

31/100 25 % of Global Score 🟡 Medium Confidence

📝 Title Tag

13 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

0 chars
Missing

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✗ Has <h2> headings — found 0
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✗ Canonical tag present
  • ✓ No noindex directive
  • ✗ Meta viewport set
  • ✗ HTML lang attribute
  • ✗ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✗ og:title
  • ✗ og:description
  • ✗ og:image
  • ✗ twitter:card
📐 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

49/100 40 % of Global Score 🟢 High Confidence

This pillar aggregates citation share, hallucination risk, bot access, schema health, and content extractability. The individual diagnostic sections below contribute to this score.

🔗

Citation Alternatives

Research
💡
Insight: In the education sector, educationdirectory.com.au (ACRI: 86) currently has stronger AI extractability. AI models tend to prefer sources with higher semantic structure and schema coverage. Domains with ACRI < 40 see 3.5× more hallucinations. Read the research →
psi.ch
29
Your ACRI Score
86
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. educationdirectory.com.au has schema coverage of 4 blocks and uses Custom / Proprietary. Improve your score by implementing the remediation patches below.
📊 Side-by-Side Comparison →
🚨

Hallucination Risk

Research

Is AI lying about your brand? This panel measures how likely LLMs are to hallucinate facts when extracting information from your page.

Analyzing hallucination risk…

🤖 Bot Access Matrix

GPTBot (OpenAI)
Allowed
ClaudeBot (Anthropic)
Allowed
CCBot (Common Crawl)
Allowed
Google-Extended
Allowed
Googlebot
Allowed

👻 Rendering (Ghost Ratio) Docs

Ghost Ratio 5%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 0/100 — Poor
Structured Elements 0 elements (0 lists, 0 rows, 0 headers)
Total Words15
Raw Density0.0%
💡Low structure score (0/100). Very little extractable text detected (15 words). AI crawlers may be blocked from accessing the real page content — check the Ghost Ratio and Bot Access sections.

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks0 — No JSON-LD detected

Schema Coverage Map

0/7 schema types detected
❌ Organization
❌ Product/Service
❌ Breadcrumb
❌ FAQ
❌ Article
❌ WebSite
💡Organization schema missing. AI models cannot identify your brand entity. Without it, your brand won't appear in Knowledge Panels or be associated with your content.
💡Product / Service schema missing. AI models don't know this is a SaaS product. Add Product or SoftwareApplication schema so AI understands what you offer and can surface pricing/features.
💡BreadcrumbList schema missing. AI cannot understand your site hierarchy or how pages relate to each other.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.
💡WebSite schema missing. Add WebSite + SearchAction so Google can generate a Sitelinks Search Box for your brand in AI results.

📐 AI Efficiency Metrics Docs

45
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability45/100 — AI models can partially extract answers from this page
Crawl CostLow (10/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

41%
🗑️ 59%
Useful Content (172 B)Bloat (248 B)
Token Bloat Ratio2.4× — Lean

Multimodal Readiness

Visual ContextNo images detected
Image Alt Coverage0 / 0 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set

🔥 Structural Entropy Check Research

65 Entropy
Fair Token Bloat: Medium
Noise Ratio: 59.0% · SNR: 0.69 · Signal: 43 / Noise: 62 tokens

🔬 AI-Crawler Simulation

See your website the way AI crawlers do. CSS stripped, structure labeled, content chunked.

🌐
This is what humans see — styled, branded, visual.
Toggle to "AI Agent View" to see what GPTBot, ClaudeBot, and other AI crawlers actually extract from this page.
🤖

AI Answer Preview

NEW

See how AI models summarize your site. Left: your actual content. Right: what the LLM extracts and says about you.

Simulating AI extraction…
🧠

The LLM Interpretation

AI-VERIFIED

SEODiff AI analyzed the extracted content of psi.ch and produced this structured business intelligence. Fields marked SEMANTIC VOID indicate information the AI could not find — a critical gap in your site’s machine-readability.

Core Offering
LEP develops thermochemical processes for producing energy carriers from CO2, biomass, and waste, focusing on sustainable energy solutions and material recycling.
Target Audience
Researchers, engineers, energy companies, policymakers, and environmental organizations involved in renewable energy and carbon management.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Proprietary fluidized-bed technology for converting renewable gas and CO2 into methane, offering increased efficiency and reduced CAPEX.
📊 Content Depth
6/10
⚡ Key Pain Points
• Lack of standardized metrics for assessing sustainability
• Complex material cycles requiring careful management
Analyzed by SEODiff AI · 2026-03-02

🔧 Tech Stack

AI-Readiness Score50/100
ServerVarnish
CDN
HTTP Status403
Load Time1633 ms
Raw HTML Size420 B
Visible Text Size172 B

Performance & Speed

68/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1633 ms
Slow — bots may time out or deprioritise

Google considers <200 ms "good". AI crawlers may have even shorter timeouts.

📦 Page Weight

10
DOM nodes
0 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 Tracker Tax

0
tracker scripts
0
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
📐 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

35/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

  • ✗ Sitemap declared in robots.txt
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

0
internal links
0
external links
Very few internal links — crawlers may miss important pages

🔒 Security & Trust

  • ✓ HSTS header (Strict-Transport-Security)
  • ✗ Content-Security-Policy header
  • ✗ HTTP status 200 OK (got 403)

♿ Accessibility Signals

  • ✗ HTML lang attribute
  • ✗ 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 scores 29/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for psi.ch
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/psi.ch" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=psi.ch" 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 76 pages · Deep-10

Homepage ACRI
29
Single-page score
+17
Subpages outperform homepage
Δ delta
Site-Wide ACRI
46
Avg across 76 pages · Range 0–67
Topical Cohesion
1%
Topical Drift
TF-IDF cosine similarity
Total Words
26380
Avg Bloat
181.6×
Page Type ACRI Token Bloat Words Status
https://www.psi.ch/en/cpe/articles
Latest articles | Catalytic Process Engineering | PSI
blog 67 55.9× 695
https://www.psi.ch/en/swissfel/scientific-highlights/eucall-finishes-first-year
EUCALL finishes first year, bearing new technologies | SwissFEL – Swiss X-ray Free Electron Laser | PSI
other 67 59.7× 612
https://www.psi.ch/en/cps/scientific-highlights/sesame-beamline-for-tomography-project-beats-is-launched
SESAME beamline for tomography project (BEATS) is launched | PSI Center for Photon Science | PSI
other 67 65.2× 617
https://www.psi.ch/en/lsx/scientific-highlights/x-rays-wave-front
A first glance at the SwissFEL x-rays wave-front | Laboratory for Advanced Spectroscopy and X-ray Sources | PSI
other 67 43.0× 838
https://www.psi.ch/en/lrt/scientific-highlights/the-dynamics-of-nuclear-reactors
The Dynamics of Nuclear Reactors | Laboratory for Reactor Physics and Thermal-Hydraulics | PSI
other 67 43.5× 984
https://www.psi.ch/en/lep/about
About LEP | Laboratory for Sustainable Energy Carriers & Processes | PSI
about 64 61.0× 610
https://www.psi.ch/en/stars/team
STARS - A Multi-Disciplinary Team | Programm STARS | PSI
about 64 91.4× 596
https://www.psi.ch/en/lrt/partners
LRT - Partners | Laboratory for Reactor Physics and Thermal-Hydraulics | PSI
integrations 64 59.8× 681
https://www.psi.ch/en/swissfel/scientific-highlights/new-methods-to-generate-short-and-high-power-x-ray-free-electron
New methods to generate short and high-power X-ray Free-Electron-Laser pulses | SwissFEL – Swiss X-ray Free Electron Laser | PSI
other 64 73.2× 502
https://www.psi.ch/en
Paul Scherrer Institute PSI
other 59 32.7× 1955
https://www.psi.ch/de
Paul Scherrer Institut PSI
other 59 34.6× 1853
https://www.psi.ch/fr
Paul Scherrer Institut PSI
other 59 30.5× 2114
https://www.psi.ch/it
Paul Scherrer Institut PSI
other 59 30.8× 2087
https://psi.ch/about
About PSI | PSI
about 54 118.1× 387
https://www.psi.ch/en/swissfel/scientific-highlights/high-precision-vertical-linear-translation-for-offset-mirrors
High-Precision Vertical Linear Translation for Offset Mirrors | SwissFEL – Swiss X-ray Free Electron Laser | PSI
other 54 147.9× 244
https://www.psi.ch/en/swissfel/scientific-highlights/psi-desy-collaboration-delivers-first-photonics-component-for
PSI-DESY Collaboration Delivers First Photonics Component for SwissFEL | SwissFEL – Swiss X-ray Free Electron Laser | PSI
other 54 102.3× 356
https://www.psi.ch/en/swissfel/scientific-highlights/table-top-soft-x-ray-lasers-based-on-high-order-harmonic-generation
Table-top soft x-ray lasers based on high-order harmonic generation (HHG) | SwissFEL – Swiss X-ray Free Electron Laser | PSI
ecommerce 54 179.3× 201
https://www.psi.ch/en/swissfel/scientific-highlights/laser-arrival-time-measurement-and-correction-for-the-swissfel
Laser arrival time measurement and correction for the SwissFEL lasers | SwissFEL – Swiss X-ray Free Electron Laser | PSI
other 54 111.6× 325
https://www.psi.ch/en/swissfel/scientific-highlights/successful-start-of-the-series-production-of-the-c-band-accelerating
Successful start of the series production of the C-band accelerating structures for SwissFEL | SwissFEL – Swiss X-ray Free Electron Laser | PSI
product 54 126.3× 288
https://www.psi.ch/en/cps/scientific-highlights/first-time-resolved-pilot-experiment-by-swissfel
First time resolved Pilot Experiment by SwissFEL: Semiconductor to metal transition in Ti3O5 nanocrystals | PSI Center for Photon Science | PSI
other 54 158.4× 255
Showing 20 of 76 pages. Unlock full subpage table →
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/en/ 63 52 0% 181.8× High JS Bloat
/fr/ 1 59 0% 30.5× High JS Bloat
/docs/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/de/ 1 59 0% 34.6× High JS Bloat
/blog/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 54 0% 118.1× High JS Bloat
/integrations/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/it/ 1 59 0% 30.8× High JS Bloat
/contact/ 1 26 0% 2137.3× High JS Bloat
/features/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 76 pages
linkedin.com ×68
duo.psi.ch ×68
instagram.com ×68
youtube.com ×68
facebook.com ×68
bsky.app ×68
threads.net ×68
whatsapp.com ×68
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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/psi.ch

Get your free API key — 100 requests/month included.

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📊 Semantic Share of Voice

How often would an AI cite psi.ch 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-PASTE

Auto-generated code fixes tailored to psi.ch. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

Add Organization JSON-LD
High Impact ⏱ 5 min
AI models cannot identify your brand entity without Organization schema. This is the #1 fix for AI visibility.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Psi",
  "url": "https://psi.ch",
  "logo": "https://psi.ch/logo.png",
  "sameAs": []
}
</script>
Add WebSite + SearchAction JSON-LD
High Impact ⏱ 5 min
Enables the Sitelinks Search Box in Google and allows AI to understand your site structure.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "WebSite",
  "name": "Psi",
  "url": "https://psi.ch",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://psi.ch/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for psi.ch:

Current Score
18
Projected Score
28
Improvement
+10 pts
Add Organization schema +6 pts
Add WebSite schema +4 pts

*Estimates based on SEODiff's scoring model. Actual results depend on implementation quality.

📋 Data Export

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All data is generated automatically and updated with each crawl. JSON exports contain scores and metadata only (no copyrighted content).

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🧭 Self-Diffing (Private Layer)

For owned domains, combine this world snapshot with private drift + regression history.
Template Drift
Track in My Site
Drift → Traffic Impact
In development coming soon
Regression Incidents
Track in My Site
Internal Linking
Deep Audit graph
Semantic Structure
GEO view in Deep Audit
Content Quality
Thin/duplicate tracking

🕒 History

Score over timeAvailable in My Site history
Drift eventsTemplate timeline + incidents
Drift → Revenue AttributionComing soon
Schema/rendering/extractability changesTracked per scan in project history
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