revenuecat.com 56 D
🛡️ SEO 50 🤖 GEO 64 ⚡ Perf 29 🏗️ Arch 83

revenuecat.com — Global SEODiff Score 56/100

revenuecat.com
📊

The AI-Readiness profile for revenuecat.com is strong: an ACRI of 68/100 places it ahead of 62% of domains in the index. In the developer sector, revenuecat.com outperforms the average (58), 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. Heavy markup overhead (17.1× bloat) forces AI systems to wade through excess code before finding useful information. The complete absence of JSON-LD schema is a missed opportunity: even basic Organization markup would improve how AI crawlers understand this domain. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

56
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Performance (29) has the most room for improvement.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 28, 2026 · 📋 API
Does your site score higher than revenuecat.com?
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)50 × 0.25 = 12.5
🤖 AI Readiness / GEO (40% weight)64 × 0.40 = 25.6
⚡ Performance (20% weight)29 × 0.20 = 5.8
🏗️ Architecture & Trust (15% weight)83 × 0.15 = 12.4
Weighted sum = 12.5 + 25.6 + 5.8 + 12.4
Global SEODiff Score = 56 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
28
Structure
avg 36
0
Schema
avg 9
75
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.2%
Rank #2235
+38 pts
Gap
AI (ACRI)
Top 38%
Score 68/100

revenuecat.com 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 revenuecat.com ranks here

Tech stackGatsby
Industrydeveloper
RenderingSSR
Schema coverage0 blocks
Token bloat17.1×

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

47 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

138 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 18
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.revenuecat.com/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en
  • ✓ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Build and Grow Your App Business – RevenueCat
  • ✓ og:description — The world’s best apps use RevenueCat to power in-app purchases, manage customer data, and grow revenue across iOS, Android, and the web.
  • ✓ 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

64/100 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 →
revenuecat.com
42
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 5%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 28/100 — Low
Structured Elements 63 elements (63 lists, 0 rows, 0 headers)
Total Words2671
Raw Density2.4%
💡Low structure score (28/100). Your content appears as a wall of text with few structured HTML elements. You have 63 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

39
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability39/100 — AI models can barely 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

5%
🗑️ 95%
Useful Content (36.0 KB)Bloat (579.1 KB)
Token Bloat Ratio17.1× — Heavy

Multimodal Readiness

Visual Context42% Optimized for Vision
Image Alt Coverage53 / 125 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 42% 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: 94.2% · SNR: 0.06 · Signal: 9206 / Noise: 148262 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/gemma-3-4b-it-qat-4bit) analyzed the extracted content of revenuecat.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
This tutorial guides users through setting up in-app subscriptions for Flutter apps using RevenueCat, a subscription management platform, covering both iOS and Android development.
Target Audience
Flutter developers, mobile app developers, iOS and Android developers, and anyone building subscription-based mobile applications.
Pricing Model
RevenueCat offers a tiered pricing model based on usage and features, with a free plan for initial testing and paid plans for scaling.
🔗 Integration Partners
RevenueCatGitHubXcode
🛡️ Compliance Standards
SOC 2
🏆 Competitive Moat
RevenueCat’s entitlement-based subscription management simplifies the process of implementing subscriptions, reducing code complexity and deployment frequency.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• CocoaPods errors requiring manual pod updates
• Lack of structured FAQ schema
• Thin landing pages for features
Model: mlx-community/gemma-3-4b-it-qat-4bit · Analyzed: 2026-02-28 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

FrameworkGatsby
AI-Readiness Score75/100
ServerNetlify
CDNnetlify
HTTP Status200
Load Time5239 ms
Raw HTML Size615.1 KB
Visible Text Size36.0 KB

Performance & Speed

29/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

5239 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1316
DOM nodes
615 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 → netlify

🔬 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

83/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.revenuecat.com/sitemap-index.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

73
internal links
5
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 42/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for revenuecat.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/revenuecat.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=revenuecat.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 116 pages · Deep-10

Homepage ACRI
42
Single-page score
0
Consistent readability
Δ delta
Site-Wide ACRI
42
Avg across 116 pages · Range 26–64
Topical Cohesion
16%
Topical Drift
TF-IDF cosine similarity
Total Words
47629
Avg Bloat
763.1×
RAG Fractures [?]
105
⚠️
105 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 105 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.revenuecat.com/tutorials/flutter-in-app-subscription-tutorial-ios-and-android/
Flutter In-App Subscription Tutorial (iOS and Android) — Video
docs 64 15.1× 6456 ⚠️ RAG Fracture
https://revenuecat.com/pricing
Pricing & Plans – RevenueCat
pricing 56 65.0× 1835 ⚠️ RAG Fracture
https://www.revenuecat.com/pricing/
Pricing & Plans – RevenueCat
pricing 56 65.0× 1835 ⚠️ RAG Fracture
https://www.revenuecat.com/platform/cordova-in-app-purchases/
Cordova In-App Purchases – RevenueCat
product 56 145.3× 638 ⚠️ RAG Fracture
https://www.revenuecat.com/platform/android-in-app-purchases/
Add in-app purchases to your Android app – RevenueCat
product 56 168.0× 551 ⚠️ RAG Fracture
https://www.revenuecat.com/customers/myswimpro/
How MySwimPro streamlined cancellations with one line of code – RevenueCat
social-proof 56 175.8× 502 ⚠️ RAG Fracture
https://www.revenuecat.com/testimonials/
Testimonials – RevenueCat
pricing 56 70.1× 1512 ⚠️ RAG Fracture
https://www.revenuecat.com/customers/holywater/
$0 to $70M in annual revenue: How HOLYWATER built a mobile content empire with RevenueCat – RevenueCat
pricing 56 118.2× 750 ⚠️ RAG Fracture
https://www.revenuecat.com/customers/dub-app/
How dub Increased LTV by 207% and Reduced Churn by 61% with Help from RevenueCat – RevenueCat
social-proof 56 99.3× 896 ⚠️ RAG Fracture
https://www.revenuecat.com/customers/ladder-revenuecat-case-study/
How Ladder went from 0 to 100,000 cross-platform subscribers with the help of RevenueCat  – RevenueCat
pricing 56 55.7× 1594 ⚠️ RAG Fracture
https://www.revenuecat.com/customers/revenuecat-openai/
How OpenAI scaled ChatGPT to millions of mobile subscribers with RevenueCat – RevenueCat
social-proof 56 128.4× 690 ⚠️ RAG Fracture
https://www.revenuecat.com/customers/how-elevenlabs-hit-1m-arr-in-just-16-days/
How ElevenLabs' mobile app hit $1M ARR in just 16 days – RevenueCat
pricing 56 90.1× 976 ⚠️ RAG Fracture
https://www.revenuecat.com/customers/how-an-english-learning-app-reached-3m-downloads-and-scaled-faster-with-revenuecat/
How an English Learning App Reached 3M+ Downloads and Scaled Faster with RevenueCat – RevenueCat
pricing 56 103.0× 857 ⚠️ RAG Fracture
https://www.revenuecat.com/customers/stepping-up-growth-how-zumba-boosted-conversion-by-8-with-revenuecat/
Stepping Up Growth: How Zumba Boosted Conversion by 8% with RevenueCat – RevenueCat
social-proof 56 95.4× 933 ⚠️ RAG Fracture
https://www.revenuecat.com/customers/floga/
How Floga made six figures in one day—pre-launch and commission-free – RevenueCat
pricing 56 114.6× 776 ⚠️ RAG Fracture
https://www.revenuecat.com/customers/spark-networks/
How RevenueCat Helped Spark Networks Rebuild Their Apps for the Future of Mobile Dating – RevenueCat
pricing 56 97.6× 910 ⚠️ RAG Fracture
https://www.revenuecat.com/customers/zozofit/
ZOZOFIT App Case Study – RevenueCat
social-proof 56 84.5× 1051 ⚠️ RAG Fracture
https://www.revenuecat.com/customers/runna/
Runna – RevenueCat
pricing 56 75.6× 1181 ⚠️ RAG Fracture
https://www.revenuecat.com/customers/mojo-case/
Mojo – RevenueCat
pricing 56 98.0× 903 ⚠️ RAG Fracture
https://www.revenuecat.com/customers/cardpointers/
CardPointers Case Study – RevenueCat
pricing 56 86.1× 1033 ⚠️ RAG Fracture
Showing 20 of 100 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
/jp/ 46 35 0% 1282.5× High JS Bloat
/customers/ 34 52 0% 270.9× High JS Bloat
/feature/ 12 43 1% 469.9× Bot Blocked
/tutorials/ 10 39 0% 742.1× High JS Bloat
/platform/ 7 46 0% 638.3× High JS Bloat
/pricing/ 2 56 0% 65.0× High JS Bloat
/contact/ 1 26 0% 1905.6× High JS Bloat
/testimonials/ 1 56 0% 70.1× High JS Bloat
/integrations/ 1 46 0% 380.8× High JS Bloat
/demo/ 1 46 0% 250.9× High JS Bloat
/docs/ 1 36 0% 46.5× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 116 pages
app.revenuecat.com ×116
community.revenuecat.com ×116
github.com ×116
subclub.com ×116
jobs.ashbyhq.com ×115
mastodon.social ×115
status.revenuecat.com ×115
twitter.com ×109
🔄 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/revenuecat.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 revenuecat.com. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
revenuecat.com (this site) 42 68 Gatsby 17.1× 0
agriculture.hunterirrigation.com 67 82 Next.js 14.7× 0 Compare →
jazzahead.de 67 86 WordPress 16.2× 1 Compare →
trektravel.com 67 82 WordPress 14.7× 1 Compare →
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Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite revenuecat.com 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…

🎭

Bait & Switch Delta

F 15 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.

56
Homepage ACRI
38
Inner Avg ACRI
+18
ACRI Delta
40%
Homepage Ghost
40%
Inner Avg Ghost
100
Drift Score [?]
Worst Inner Pages
36 40% docs https://revenuecat.com/docs
26 40% support https://revenuecat.com/contact
46 40% integrations https://revenuecat.com/integrations
🛡️

E-E-A-T Trust Signals

F 15/100

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

11 DOMAINS

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

122
Total Links
11
Unique Domains
8.1
Avg/Page
9%
Diversity
github.com twitter.com subclub.com app.revenuecat.com community.revenuecat.com jobs.ashbyhq.com mastodon.social status.revenuecat.com soc2.revenuecat.com docs.revenuecat.com
🏘️ Outbound Neighborhood Trust Avg Trust: 13.5

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

🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to revenuecat.com. 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": "Revenuecat",
  "url": "https://revenuecat.com",
  "logo": "https://revenuecat.com/favicon-32x32.png?v=983d81cd061310b2eb379250c70bcb88",
  "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": "Revenuecat",
  "url": "https://revenuecat.com",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://revenuecat.com/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 5% 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 Revenuecat?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Revenuecat does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Revenuecat work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Revenuecat."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
68
Projected Score
86
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