pyth.network 52 D
🛡️ SEO 47 🤖 GEO 54 ⚡ Perf 36 🏗️ Arch 74

pyth.network — Global SEODiff Score 52/100

pyth.network
📊

pyth.network shows strong AI visibility with an ACRI of 69/100, outperforming 64% of indexed domains. Compared to other developer sites (avg score: 57), pyth.network 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. The bloated 50.0× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. No structured data was detected, which means AI systems must infer all entities and relationships from raw HTML alone. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

52
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Performance (36) has the most room for improvement.
🎯 Top Fix: Reduce token bloat (67×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 15, 2026 · 📋 API
📈 ACRI Trend 2 snapshots
Mar 5 Mar 15
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than pyth.network?
Run the same 40-signal audit on your own domain — free, instant results.
Scan Your Site Free →
🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)47 × 0.25 = 11.8
🤖 AI Readiness / GEO (40% weight)54 × 0.40 = 21.6
⚡ Performance (20% weight)36 × 0.20 = 7.2
🏗️ Architecture & Trust (15% weight)74 × 0.15 = 11.1
Weighted sum = 11.8 + 21.6 + 7.2 + 11.1
Global SEODiff Score = 52 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
97
Rendering
avg 93
38
Structure
avg 35
0
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 10%
Rank #98801
+27 pts
Gap
AI (ACRI)
Top 36%
Score 69/100

pyth.network 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 pyth.network ranks here

Tech stackHubSpot CMS
Industrydeveloper
RenderingHybrid
Schema coverage0 blocks
Token bloat50×+

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

47/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

49 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

154 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 10
  • ✗ Has <h2> headings — found 0
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.pyth.network/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en
  • ➖ Hreflang tags — N/A (single language site)
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — The Price Layer for Global Finance | Pyth Network
  • ✓ og:description — The financial system is fragmented. Pyth is uniting markets—giving every builder, trader, and innovator access to the price of everything, in real time.
  • ✓ 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

54/100 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 →
pyth.network
43
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 38/100 — Low
Structured Elements 168 elements (168 lists, 0 rows, 0 headers)
Total Words3885
Raw Density4.3%
💡Low structure score (38/100). Your content appears as a wall of text with few structured HTML elements. You have 168 list items, 0 table rows, 0 table headers. Convert features into <ul> lists and data into <table> elements to help AI models extract structured information.

🏷️ 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

37
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability37/100 — AI models can barely extract answers from this page
Crawl CostHigh (95/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

1%
🗑️ 99%
Useful Content (25.5 KB)Bloat (1676.1 KB)
Token Bloat Ratio50×+ — Bloated

Multimodal Readiness

Visual Context3% Optimized for Vision
Image Alt Coverage10 / 326 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 1701.6 KB, but only 25.5 KB is text. 1% useful / 99% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (50×+) risks context-window truncation by ChatGPT, Claude, and Gemini. Reduce inline scripts, CSS, hydration payloads, and tracking code.
💡Only 3% 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: 98.5% · SNR: 0.02 · Signal: 6537 / Noise: 429082 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 pyth.network 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
Blue Ocean ATS provides SEC-registered, institutional US equity pricing during overnight trading hours, addressing a gap in market data infrastructure for global trading activity.
Target Audience
Financial institutions, institutional investors, DeFi protocols, developers, broker-dealers, market makers, and traders.
Pricing Model
Exclusive partnership with Pyth Network – pricing details not specified, but data distribution is a key component.
🔗 Integration Partners
ICEBloombergLSEGTradingViewFlexTradeLiquidityBook
🛡️ Compliance Standards
SEC-registered Alternative Trading SystemFINRA regulatory oversight
🏆 Competitive Moat
Regulatory status as a public alternative trading system with a full pre-trade transparent matching platform, combined with scale and overnight trading leadership.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• The eight-hour overnight window when US exchanges are closed
• Lack of accessible institutional US equity pricing during Asian trading hours
• Thin AMM quotes during the overnight window
Analyzed by SEODiff AI · 2026-03-05

🔧 Tech Stack

FrameworkHubSpot CMS
AI-Readiness Score70/100
ServerFramer/b987130
CDN
HTTP Status200
Load Time508 ms
Raw HTML Size1701.6 KB
Visible Text Size25.5 KB

Performance & Speed

36/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

508 ms
Acceptable — room for improvement

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

📦 Page Weight

7980
DOM nodes
1702 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → public, max-age=0, must-revalidate
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 Tracker Tax

2
tracker scripts
2
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
googletagmanager.comamplitude.com
📐 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

74/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.pyth.network/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

189
internal links
99
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 43/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for pyth.network
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/pyth.network" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=pyth.network" 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 44 pages · Deep-10

Homepage ACRI
43
Single-page score
+8
Consistent readability
Δ delta
Site-Wide ACRI
52
Avg across 44 pages · Range 0–64
Topical Cohesion
19%
Topical Drift
TF-IDF cosine similarity
Total Words
66118
Avg Bloat
78.2×
RAG Fractures [?]
26
⚠️
26 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 26 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://www.pyth.network/blog/blue-ocean-ats-joins-pyth-network-institutional-overnight-hours-us-equity-data
Blue Ocean ATS Joins Pyth Network: Institutional Overnight Hours US Equity Data - Blog - Pyth Network
pricing 64 83.1× 1177 ⚠️ RAG Fracture
https://www.pyth.network/blog/introducing-pyth-pro-reinventing-the-market-data-supply-chain
Introducing Pyth Pro: Reinventing the Market Data Supply Chain - Blog - Pyth Network
pricing 64 57.2× 1759 ⚠️ RAG Fracture
https://www.pyth.network/blog/phase-two-institutional-monetization-through-offchain-data
Phase Two: Institutional Monetization Through Offchain Data - Blog - Pyth Network
pricing 64 46.2× 2259 ⚠️ RAG Fracture
https://www.pyth.network/blog/pyth-network-selected-by-u-s-department-of-commerce-to-verify-and-distribute-economic-data-onchain
The U.S. Department of Commerce is Working with Pyth Network to Verify & Distribute Economic Data Onchain - Blog - Pyth Network
blog 64 106.7× 795
https://www.pyth.network/blog/mark-price-vs.-index-price-vs.-reference-price-what-they-are-and-why-they-matter
Mark Price vs. Index Price vs. Reference Price: What They Are and Why They Matter - Blog - Pyth Network
pricing 64 64.8× 1510 ⚠️ RAG Fracture
https://www.pyth.network/blog/a-global-market-without-borders-unlocking-the-largest-us-equities
A Global Market Without Borders: Unlocking the Largest US Equities - Blog - Pyth Network
pricing 64 79.0× 1256 ⚠️ RAG Fracture
https://www.pyth.network/blog/introducing-pyth-lazer-launching-defi-into-real-time
Introducing Pyth Lazer: Launching DeFi Into Real-Time - Blog - Pyth Network
pricing 64 45.3× 2259 ⚠️ RAG Fracture
https://www.pyth.network/blog/how-gold-prices-work-a-guide-to-xau-market-structure
How Gold Prices Work: A Guide to XAU Market Structure - Blog - Pyth Network
pricing 64 80.8× 1199 ⚠️ RAG Fracture
https://www.pyth.network/blog/what-is-nbbo-and-why-does-it-matter-for-market-data
What Is NBBO and Why Does It Matter for Market Data? - Blog - Pyth Network
pricing 64 68.1× 1431 ⚠️ RAG Fracture
https://www.pyth.network/blog/pyth-pro-is-live-on-sui-a-performance-upgrade-for-defi-pricing
Pyth Pro Is Live on Sui: A Performance Upgrade for DeFi Pricing - Blog - Pyth Network
pricing 64 100.6× 956 ⚠️ RAG Fracture
https://www.pyth.network/blog/from-crypto-perps-to-full-asset-trading-layer-a-liquidity-case-study-in-silver
From Crypto Perps to Full Asset Trading Layer: A Liquidity Case Study in Silver - Blog - Pyth Network
pricing 64 87.4× 1107 ⚠️ RAG Fracture
https://www.pyth.network/blog/how-to-evaluate-a-market-data-provider
How to Evaluate a Market Data Provider - Blog - Pyth Network
blog 64 141.4× 682
https://www.pyth.network/blog/overnight-equities-explained
Overnight Equities Explained - Blog - Pyth Network
pricing 64 139.2× 688 ⚠️ RAG Fracture
https://www.pyth.network/blog/memberscap-joins-pyth-network-to-bring-high-yield-uncorrelated-rwas-onchain-with-tokenized-global-reinsurance-income-fund
MembersCap Joins Pyth Network to Bring High-Yield, Uncorrelated RWAs Onchain with Tokenized Global Reinsurance Income Fund - Blog - Pyth Network
pricing 64 103.3× 931 ⚠️ RAG Fracture
https://www.pyth.network/blog/b2c2-joins-pyth-network-institutional-liquidity-data-for-the-digital-asset-economy
B2C2 Joins Pyth Network: Institutional Liquidity Data for the Digital Asset Economy - Blog - Pyth Network
pricing 64 86.4× 1122 ⚠️ RAG Fracture
https://www.pyth.network/blog/introducing-the-pyth-reserve-turning-institutional-adoption-into-sustainable-network-value
Introducing the PYTH Reserve: Turning Institutional Adoption Into Sustainable Network Value - Blog - Pyth Network
pricing 64 77.6× 1261 ⚠️ RAG Fracture
https://www.pyth.network/blog/pyth-network-partners-with-kalshi-to-deliver-real-time-prediction-market-data-onchain
Pyth Network Partners with Kalshi to Deliver Real-Time Prediction Market Data Onchain - Blog - Pyth Network
blog 64 89.6× 1082
https://www.pyth.network/blog/a-new-wave-of-economic-data-is-now-onchain
A New Wave of Economic Data is Now Onchain - Blog - Pyth Network
pricing 64 123.7× 772 ⚠️ RAG Fracture
https://www.pyth.network/blog/entropy-v2-onchain-randomness-gets-an-upgrade
Entropy V2: Onchain Randomness Gets an Upgrade - Blog - Pyth Network
blog 64 108.2× 886
https://www.pyth.network/blog/the-price-of-everything-the-hang-seng-index-is-now-onchain-no-terminal-required
The Price of Everything: The Hang Seng Index Is Now Onchain—No Terminal Required - Blog - Pyth Network
pricing 64 83.2× 1184 ⚠️ RAG Fracture
Showing 20 of 44 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
/blog/ 34 64 0% 95.7× High JS Bloat
/pricing/ 2 56 0% 91.8× High JS Bloat
/integrations/ 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
/faq/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 44 pages
github.com ×36
x.com ×36
t.me ×34
kpi.pyth.network ×34
drive.google.com ×34
instagram.com ×34
staking.pyth.network ×34
twitch.tv ×34
🔄 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/pyth.network

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

🔗 Similar developer Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
pyth.network (this site) 43 69 HubSpot CMS 66.6× 0
you1news.com 68 84 WordPress 4.7× 0 Compare →
api.immobilienscout24.de 68 79 Express 3.2× 0 Compare →
icku.net 68 76 Custom / Proprietary 2.3× 0 Compare →
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📊 Semantic Share of Voice

How often would an AI cite pyth.network 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 pyth.network. 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": "Network",
  "url": "https://pyth.network",
  "logo": "https://framerusercontent.com/images/3i2OuCNwSBWriCGmMsfn8O20Bes.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": "Network",
  "url": "https://pyth.network",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://pyth.network/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 1% 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 Network?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Network does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Network work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Network."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for pyth.network:

Current Score
69
Projected Score
87
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?
Run a free deep audit to diagnose crawled-not-indexed, soft 404s, redirect errors, and more.
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