Zalo.me operates in the education sector with a mission to drive digital transformation in Vietnam, as reflected in its page title. The domain currently holds a Global SEODiff Score of 40, placing it below benchmark performance, with an ACRI Grade of F and an ACRI Score of 16, indicating significant gaps in content quality, semantic clarity, and search engine trustworthiness. Despite a strong Architecture Score of 88, which reflects solid internal linking and declared sitemap structure, the site underperforms in core SEO fundamentals, with a Traditional SEO Score of 14 and Extractability Score of 14, suggesting poor content signal clarity and weak machine readability.
The site demonstrates promising technical readiness for AI indexing, with full bot access for GPTbot, Claudebot, and Google Extended, and no AI-blocking meta tags. However, this advantage is undermined by severe content inefficiencies: only 3,308 useful text bytes from a 168KB HTML payload, resulting in a 51.0x token bloat ratio and a mere 554-word count. This indicates excessive non-semantic code and minimal user-value content. While TTFB is 6.045 seconds, which is slow, the site does enforce HSTS for security and maintains a low ghost ratio (5.0%), suggesting a relatively clean deployment. The absence of any structured data (zero schema blocks) further limits visibility in AI-driven search features.
Architecturally, the site shows strength with 27 internal links and a declared sitemap, but semantic coherence is weak—evidenced by a Semantic Structure Score of 20 and Retrieval Robustness of 10. There is no evidence of entity coverage, FAQ, or article schema, and no organization or website markup. The AI Trust Score of 21.5 reflects low confidence in content authenticity and relevance. To improve, Zalo.me must prioritize content optimization, reduce token bloat, implement structured data, and enhance semantic clarity—critical steps to unlock its potential in AI-powered search and elevate its ACRI and SEODiff scores.
🧮 Score Transparency — How is this calculated?
📊 ACRI Sub-Scores (AI Readiness Detail)
zalo.me 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 zalo.me ranks here
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.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 →
Traditional SEO
14/100 25 % of Global Score 🟡 Medium 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 1
- ✗ <h2> not before <h1>
🔍 Indexability
- ✗ Canonical tag present
- ✓ No noindex directive
- ✓ Meta viewport set
- ✓ HTML lang attribute →
vi - ➖ Hreflang tags — N/A (single language site)
- ✓ Googlebot allowed by robots.txt
🌐 Social / OpenGraph
- ✓ og:title — Zalo: Phát triển Internet thay đổi cuộc sống người Việt Nam
- ✓ og:description — Tìm hiểu cách Zalo xây dựng, phát triển và đóng góp thông qua Zalo, Zing, Zalo Video; Trí tuệ nhân tạo (AI) Kiki Auto, mô hình ngôn ngữ lớn; Chuyển đổi số …
- ✓ 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
49/100 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
📊 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
43/100 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 →
private, no-cache, no-store, max-age=0, must-revalidate - ✗ CDN cache status
- ✗ CDN detected
🔬 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
88/100 15 % of Global Score 🟢 High Confidence🗺️ Sitemap & Robots
- ✓ Sitemap declared in robots.txt →
https://zalo.me/sitemap/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 → vi
- ✓ 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.
<a href="https://seodiff.io/radar/domains/zalo.me" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=zalo.me" 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 4 pages · Deep-10
| Page | Type | ACRI | Token Bloat | Words | Status |
|---|---|---|---|---|---|
| product | 52 | 60.9× | 554 | ✓ | |
| other | 41 | 19.1× | 158 | ✓ | |
| other | 41 | 19.1× | 158 | ✓ | |
| other | 41 | 19.1× | 158 | ✓ |
| Path | Pages | Avg ACRI | Ghost % | Bloat | Top Issue |
|---|---|---|---|---|---|
| /pc/ | 2 | 41 | 0% | 19.1× | High JS Bloat |
| /features.html/ | 1 | 52 | 1% | 60.9× | Bot Blocked |
| /download.html/ | 1 | 41 | 0% | 19.1× | High JS Bloat |
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/zalo.meGet your free API key — 100 requests/month included.
🔗 Similar education Sites
Domains with a similar tech stack, industry, and AI readiness profile to zalo.me. Compare side-by-side.
| Domain | ACRI | AI Score | Tech Stack | Token Bloat | Schema | |
|---|---|---|---|---|---|---|
| zalo.me (this site) | 29 | 62 | Next.js | 51.0× | 0 | — |
| jpost.com | 54 | 76 | Next.js | 45.6× | 3 | Compare → |
| csuci.edu | 54 | 74 | Next.js | 4.7× | 0 | Compare → |
| omvpetrom.com | 54 | 84 | Next.js | 85.5× | 1 | Compare → |
| ascoja-maja.org.mm | 54 | 70 | Custom / Proprietary | 2.5× | 0 | Compare → |
| libraries.uh.edu | 54 | 81 | WordPress | 20.4× | 0 | Compare → |
📊 Semantic Share of Voice
How often would an AI cite zalo.me 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 zalo.me. 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": "Organization",
"name": "Zalo",
"url": "https://zalo.me",
"logo": "https://zalo.me/favicon.ico",
"sameAs": []
}
</script>
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "WebSite",
"name": "Zalo",
"url": "https://zalo.me",
"potentialAction": {
"@type": "SearchAction",
"target": "https://zalo.me/search?q={search_term_string}",
"query-input": "required name=search_term_string"
}
}
</script>
<!-- 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>
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is Zalo?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Add your answer here — describe what Zalo does in 1-2 sentences."
}
},
{
"@type": "Question",
"name": "How does Zalo work?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Explain the key features and how users interact with Zalo."
}
}
]
}
</script>
Projected Impact
ROI EST.If you apply the patches above, here's the estimated improvement for zalo.me:
*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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