firebase.google.com 71 B
🛡️ SEO 67 🤖 GEO 78 ⚡ Perf 42 🏗️ Arch 100

firebase.google.com — Global SEODiff Score 71/100

firebase.google.com
📊

The AI-Readiness profile for firebase.google.com is strong: an ACRI of 84/100 places it ahead of 98% of domains in the index. Compared to other developer sites (avg score: 58), firebase.google.com performs above the benchmark, suggesting strong competitive positioning in AI search. Its server-rendered architecture ensures AI crawlers receive complete HTML on first request, a key advantage for extractability. Heavy markup overhead (15.5× bloat) forces AI systems to wade through excess code before finding useful information. The presence of 5 structured data blocks ensures search engines and AI agents can accurately classify and extract entities from the page. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

71
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (42) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Feb 26, 2026 · 📋 API
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Run the same 40-signal audit on your own domain — free, instant results.
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)67 × 0.25 = 16.8
🤖 AI Readiness / GEO (40% weight)78 × 0.40 = 31.2
⚡ Performance (20% weight)42 × 0.20 = 8.4
🏗️ Architecture & Trust (15% weight)100 × 0.15 = 15.0
Weighted sum = 16.8 + 31.2 + 8.4 + 15.0
Global SEODiff Score = 71 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
97
Rendering
avg 93
86
Structure
avg 36
50
Schema
avg 9
50
Tech Stack
avg 63

Why firebase.google.com ranks here

Tech stackCustom / Proprietary
Industrydeveloper
RenderingHybrid
Schema coverage5 blocks
Token bloat15.5×

Fastest improvements

  • 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

67/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

59 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

134 chars
Good length

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 → https://firebase.google.com/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en
  • ✓ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Firebase | Google's Mobile and Web App Development Platform
  • ✓ og:description — Discover Firebase, Google’s mobile and web app development platform that helps developers build apps and games that users will love.
  • ✓ 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

78/100 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 developer sector, hikkoshizamurai.jp (ACRI: 88) 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 →
firebase.google.com
71
Your ACRI Score
88
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. hikkoshizamurai.jp has schema coverage of 5 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 10%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 86/100 — Excellent
Structured Elements 173 elements (173 lists, 0 rows, 0 headers)
Total Words778
Raw Density22.2%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks5 blocks

Schema Coverage Map

2/7 schema types detected
✅ Organization
❌ Product/Service
❌ Breadcrumb
❌ FAQ
❌ Article
✅ WebSite
💡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.

📐 AI Efficiency Metrics Docs

69
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability69/100 — AI models can partially extract answers from this page
Crawl CostHigh (80/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

6%
🗑️ 94%
Useful Content (34.3 KB)Bloat (496.3 KB)
Token Bloat Ratio15.5× — Heavy

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage45 / 45 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 93.5% · SNR: 0.07 · Signal: 8773 / Noise: 127050 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

A local LLM (mlx-community/Qwen2.5-7B-Instruct-4bit) analyzed the extracted content of firebase.google.com 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
⚠ SEMANTIC VOID
Target Audience
⚠ SEMANTIC VOID
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
SEMANTIC VOID
📊 Content Depth
1/10
🔄 Programmatic SEO Signals
location pagesdirectory listingscomparison pages
⚡ Key Pain Points
• No core offering described
• No target audience defined
• No pricing model mentioned
• No competitive moat highlighted
Model: mlx-community/Qwen2.5-7B-Instruct-4bit · Analyzed: 2026-02-27 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

AI-Readiness Score50/100
ServerGoogle Frontend
CDN
HTTP Status200
Load Time1457 ms
Raw HTML Size530.6 KB
Visible Text Size34.3 KB

Performance & Speed

42/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1457 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1033
DOM nodes
531 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-cache, must-revalidate
  • ✗ 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

100/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://firebase.google.com/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

168
internal links
21
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 → en
  • ✓ 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 71/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for firebase.google.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/firebase.google.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=firebase.google.com" 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 7 pages · Deep-10

Homepage ACRI
71
Single-page score
-9
Moderate hidden bloat
Δ delta
Site-Wide ACRI
62
Avg across 7 pages · Range 54–69
Topical Cohesion
6%
Topical Drift
TF-IDF cosine similarity
Total Words
6919
Avg Bloat
101.9×
RAG Fractures [?]
3
⚠️
3 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 3 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://firebase.google.com/blog
The Firebase Blog
pricing 69 115.1× 597 💰 Pricing
https://firebase.google.com/pricing
Firebase Pricing
pricing 64 51.1× 2761 ⚠️ RAG Fracture
https://firebase.google.com/products
Firebase Products
pricing 64 118.9× 940 ⚠️ RAG Fracture
https://firebase.google.com/features
Firebase Products
pricing 64 118.9× 940 ⚠️ RAG Fracture
https://firebase.google.com/integrations
Firebase integrations
pricing 64 173.7× 601 💰 Pricing
https://firebase.google.com/case-studies
Summary of case studies  |  Firebase
pricing 56 49.7× 617 💰 Pricing
https://firebase.google.com/docs
Firebase Documentation
docs 54 85.9× 463
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/blog/ 1 69 0% 115.2× High JS Bloat
/integrations/ 1 64 0% 173.7× High JS Bloat
/pricing/ 1 64 0% 51.1× High JS Bloat
/products/ 1 64 0% 118.9× High JS Bloat
/features/ 1 64 0% 118.9× High JS Bloat
/case-studies/ 1 56 0% 49.8× High JS Bloat
/docs/ 1 54 0% 85.9× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 7 pages
developers.google.com ×7
genkit.dev ×6
console.firebase.google.com ×4
developer.android.com ×3
cloud.google.com ×3
extensions.dev ×2
plus.google.com ×1
youtube.com ×1
🔄 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/firebase.google.com

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

🔗 Similar developer Sites

Domains with a similar tech stack, industry, and AI readiness profile to firebase.google.com. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
firebase.google.com (this site) 71 84 Custom / Proprietary 15.5× 5
narva.com.au 82 94 Custom / Proprietary 5.8× 7 Compare →
hikkoshizamurai.jp 88 87 Custom / Proprietary 2.7× 5 Compare →
veiligheids-sloten.nl 82 86 Custom / Proprietary 2.8× 3 Compare →
ivymoda.com 83 87 Custom / Proprietary 2.1× 3 Compare →
geekly.co.jp 84 87 Custom / Proprietary 2.4× 3 Compare →
Compare All 5 Similar Sites →
🎭

Bait & Switch Delta

B 7 PAGES

Compares your homepage rendering quality with inner pages. A high drift score means AI crawlers see a polished homepage but degraded inner content — the "bait & switch" that erodes trust.

64
Homepage ACRI
62
Inner Avg ACRI
+2
ACRI Delta
40%
Homepage Ghost
40%
Inner Avg Ghost
13
Drift Score [?]
Worst Inner Pages
64 40% pricing https://firebase.google.com/products
64 40% pricing https://firebase.google.com/features
54 40% docs https://firebase.google.com/docs
🛡️

E-E-A-T Trust Signals

F 10/100

Trust indicators extracted from surface pages. These signals help AI systems verify your site's Experience, Expertise, Authoritativeness, and Trustworthiness.

Physical Address
Phone Number
Email Contact
About Page
Contact Page
Privacy Policy
Terms of Service
Named Leadership
🔗

Citation Profile

22 DOMAINS

Outbound citation patterns across surface-crawled pages. Sites that cite diverse, authoritative sources signal higher E-E-A-T to AI systems.

41
Total Links
22
Unique Domains
5.9
Avg/Page
54%
Diversity
developers.google.com genkit.dev console.firebase.google.com cloud.google.com developer.android.com extensions.dev developer.chrome.com plus.google.com firebase.com apache.org
🏘️ Outbound Neighborhood Trust Avg Trust: 29.0

AI trust scores for the domains firebase.google.com links to. Citing high-trust sources lifts your own credibility signal.

🩹

Remediation Patches

COPY-PASTE

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

Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 6% 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 Google?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Google does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Google work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Google."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for firebase.google.com:

Current Score
84
Projected Score
92
Improvement
+8 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

🧠 AI Citation Graph

How this domain is cited across the machine-readable web

3.9
AI-Trust
#902
Global Rank
49%
Percentile
15
Inbound AI Links
0
Outbound AI Links
49
Avg Inbound ACRI
20%
Invisible Backlinks
Top AI Referrers
Domain ACRI AI-Trust Direction
admob.com 66 0.0 ← cites you
web.app 62 0.0 ← cites you
firebaseapp.com 62 0.0 ← cites you
doubleclick.net 60 0.0 ← cites you
doubleclick.com 60 0.0 ← cites you
googleanalytics.com 58 0.0 ← cites you
urchin.com 58 0.0 ← cites you
userstatics.com 53 0.0 ← cites you
typesense.org 52 0.0 ← cites you
atomos.io 43 0.0 ← cites you
View Full AI-Trust Leaderboard →