lmt.lv 59 D
🛡️ SEO 50 🤖 GEO 66 ⚡ Perf 47 🏗️ Arch 71

lmt.lv — Global SEODiff Score 59/100

lmt.lv
📊

lmt.lv shows strong AI visibility with an ACRI of 80/100, outperforming 94% of indexed domains. In the infrastructure sector, lmt.lv outperforms the average (57), suggesting strong competitive positioning in AI search. Server-side rendering keeps the ghost ratio near zero, giving AI systems direct access to all visible content. The bloated 44.2× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. Zero schema blocks puts this site at a disadvantage in knowledge graph and AI-answer pipelines that rely on explicit structured data. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

59
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Performance (47) has the most room for improvement.
🎯 Top Fix: Reduce token bloat (44×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 18, 2026 · 📋 API
📈 ACRI Trend 3 snapshots
Mar 5 Mar 18
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than lmt.lv?
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)50 × 0.25 = 12.5
🤖 AI Readiness / GEO (40% weight)66 × 0.40 = 26.4
⚡ Performance (20% weight)47 × 0.20 = 9.4
🏗️ Architecture & Trust (15% weight)71 × 0.15 = 10.7
Weighted sum = 12.5 + 26.4 + 9.4 + 10.7
Global SEODiff Score = 59 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
84
Structure
avg 35
0
Schema
avg 9
80
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 2%
Rank #15674
Aligned
Gap
AI (ACRI)
Top 6%
Score 80/100

lmt.lv has balanced Google and AI visibility — both rank roughly in the same tier. ACRI measures technical crawler readiness. Read the methodology →

Why lmt.lv ranks here

Tech stackNuxt.js
RenderingSSR
Schema coverage0 blocks
Token bloat44.2×

Fastest improvements

  • Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
  • Reduce token bloat (navigation/footer/code) so agents reach your main content faster (see Token Bloat).
  • 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

50/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

18 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

153 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 23
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://lmt.lmt.lv
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → lv
  • ✅ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — LMT | Domā–Dari
  • ✓ og:description — Mobilās telekomunikācijas, pakalpojumi un iekārtas saziņai, izklaidei, darbam. Plašākais 5G pārklājums un klientu serviss Latvijā. Pievienojies!
  • ✓ og:image — preview
  • ✓ 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

66/100 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 infrastructure sector, safely.co.jp (ACRI: 90) 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 →
lmt.lv
58
Your ACRI Score
90
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. safely.co.jp has schema coverage of 3 blocks and uses WordPress. 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 84/100 — Excellent
Structured Elements 198 elements (198 lists, 0 rows, 0 headers)
Total Words925
Raw Density21.4%

🏷️ 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

52
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability52/100 — AI models can partially extract answers from this page
Crawl CostHigh (75/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

2%
🗑️ 98%
Useful Content (7.5 KB)Bloat (323.3 KB)
Token Bloat Ratio44.2× — Bloated

Multimodal Readiness

Visual Context6% Optimized for Vision
Image Alt Coverage2 / 33 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 330.7 KB, but only 7.5 KB is text. 2% useful / 98% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (44.2×) risks context-window truncation by ChatGPT, Claude, and Gemini. Reduce inline scripts, CSS, hydration payloads, and tracking code.
💡Only 6% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 97.7% · SNR: 0.02 · Signal: 1915 / Noise: 82753 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 lmt.lv 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
Domā–Dari – LMT provides mobile communications, services, and devices for communication, entertainment, and work.
Target Audience
Mobile users, entertainment consumers, and professionals seeking communication solutions.
Pricing Model
Variable, based on chosen services and contract terms (e.g., Iespēju līgums).
🏆 Competitive Moat
Broadest 5G coverage and customer service in Latvia.
📊 Content Depth
3/10
⚡ Key Pain Points
• E-commerce development in progress - items may be in separate baskets.
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

FrameworkNuxt.js
AI-Readiness Score80/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time1744 ms
Raw HTML Size330.7 KB
Visible Text Size7.5 KB

Performance & Speed

47/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1744 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1415
DOM nodes
331 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → s-maxage=60, stale-while-revalidate
  • ✓ CDN cache status → DYNAMIC
  • ✓ CDN detected → cloudflare

🔬 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

71/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

244
internal links
11
external links
Good internal linking — helps crawlers discover content

🔒 Security & Trust

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

♿ Accessibility Signals

  • ✓ HTML lang attribute → lv
  • ✓ 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 58/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for lmt.lv
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/lmt.lv" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=lmt.lv" 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 68 pages · Deep-10

Homepage ACRI
58
Single-page score
-19
Moderate hidden bloat
Δ delta
Site-Wide ACRI
40
Avg across 68 pages · Range 0–53
🔍
Hidden Bloat Detected

Homepage scores 58, but internal pages average only 40 — a -19-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
9%
Topical Drift
TF-IDF cosine similarity
Total Words
41999
Avg Bloat
423.8×
Page Type ACRI Token Bloat Words Status
https://www.lmt.lv/veikals/aizsargstikli
Aizsargstikli - LMT
pricing 53 117.3× 754 💰 Pricing
https://www.lmt.lv/veikals/atminas-kartes
Atmiņas kartes - LMT
pricing 53 93.2× 737 💰 Pricing
https://www.lmt.lv/veikals/klaviaturas-un-peles
Klaviatūras un peles - LMT
pricing 53 91.7× 1039 💰 Pricing
https://www.lmt.lv/veikals/all-in-one
All in one - LMT
pricing 53 74.7× 1057 💰 Pricing
https://www.lmt.lv/veikals/audiosistemas
Audiosistēmas - LMT
pricing 53 108.6× 817 💰 Pricing
https://www.lmt.lv/veikals/monitori
Monitori - LMT
pricing 53 80.8× 1218 💰 Pricing
https://www.lmt.lv/lv/mazlietotie-telefoni
Visi telefoni - LMT
pricing 53 58.8× 1939 💰 Pricing
https://www.lmt.lv/veikals/austinas
Austiņas - LMT
pricing 53 83.0× 1178 💰 Pricing
https://www.lmt.lv/veikals/droni
Droni - LMT
pricing 53 86.5× 1039 💰 Pricing
https://www.lmt.lv/veikals/elektriskie-skrejriteni
Elektriskie skrejriteņi - LMT
pricing 53 86.8× 806 💰 Pricing
https://www.lmt.lv/veikals/irbuli
Irbuļi - LMT
pricing 53 129.9× 553 💰 Pricing
https://www.lmt.lv/veikals/gaming-iekartas
Gaming iekārtas - LMT
pricing 53 90.2× 1075 💰 Pricing
https://www.lmt.lv/veikals/jaunumi
Jaunumi - LMT
pricing 53 81.3× 1185 💰 Pricing
https://www.lmt.lv/veikals/izpardosana
Izpārdošana - LMT
pricing 53 94.4× 1091 💰 Pricing
https://www.lmt.lv/veikals/konsoles
Konsoles - LMT
pricing 53 122.4× 554 💰 Pricing
https://www.lmt.lv/veikals/kameras
Kameras - LMT
pricing 53 95.1× 868 💰 Pricing
https://www.lmt.lv/veikals/ladetaji-un-adapteri
Lādētāji un adapteri - LMT
pricing 53 104.0× 893 💰 Pricing
https://www.lmt.lv/veikals/mazlietotas
Mazlietotas iekārtas - LMT
pricing 53 88.4× 1137 💰 Pricing
https://www.lmt.lv/veikals/noverosanas-kameras
Novērošanas kameras - LMT
pricing 53 96.2× 808 💰 Pricing
https://www.lmt.lv/veikals/portativie-datori
Portatīvie datori - LMT
pricing 53 64.4× 1593 💰 Pricing
Showing 20 of 68 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
/veikals/ 55 47 1% 512.2× Bot Blocked
/lv/ 3 35 1% 215.7× Bot Blocked
/pricing/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 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
🔄 Re-Crawl & Update 📡 Track this Domain

Scores update automatically each month. Create a free account for on-demand re-crawls (3/month free).

🔌 API Access

Pull this data programmatically. All sub-page metrics are available via our public API.

curl https://seodiff.io/api/v1/deep10/domain/lmt.lv

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

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Domains with a similar tech stack, industry, and AI readiness profile to lmt.lv. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
lmt.lv (this site) 58 80 Nuxt.js 44.2× 0
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📊 Semantic Share of Voice

How often would an AI cite lmt.lv 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 lmt.lv. 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": "Lmt",
  "url": "https://lmt.lv",
  "logo": "https://lmt.lv/favicon-www/apple-touch-icon.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": "Lmt",
  "url": "https://lmt.lv",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://lmt.lv/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 2% of your HTML is useful content. AI crawlers waste context window tokens on bloat.
html
<!-- Move inline CSS to external stylesheets -->
<link rel="stylesheet" href="/css/main.css">

<!-- Move inline scripts to external files with defer -->
<script src="/js/app.js" defer></script>

<!-- Remove duplicate navigation blocks -->
<!-- Keep only ONE <nav> in the <header> -->

<!-- Ensure <main> wraps your primary content -->
<main>
  <!-- Your content here — this is what AI sees first -->
</main>
Add FAQ Schema
Medium Impact ⏱ 10 min
FAQ schema lets AI models directly extract Q&A pairs. This is the easiest way to get featured in AI responses.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is Lmt?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Lmt does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Lmt work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Lmt."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for lmt.lv:

Current Score
80
Projected Score
98
Improvement
+18 pts
Add Organization schema +6 pts
Add WebSite schema +4 pts
Reduce token bloat +5 pts
Add FAQ schema +3 pts

*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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🧭 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
🔍 Found indexing issues?
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