semgrep.dev 68 C
🛡️ SEO 41 🤖 GEO 81 ⚡ Perf 65 🏗️ Arch 85

semgrep.dev — Global SEODiff Score 68/100

semgrep.dev
📊

semgrep.dev shows strong AI visibility with an ACRI of 73/100, outperforming 75% of indexed domains. Compared to other developer sites (avg score: 57), semgrep.dev performs above the benchmark, suggesting strong competitive positioning in AI search. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. With a 2.3× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. 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.

68
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (41) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 15, 2026 · 📋 API
📈 ACRI Trend 6 snapshots
Feb 23 Mar 15
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than semgrep.dev?
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)41 × 0.25 = 10.2
🤖 AI Readiness / GEO (40% weight)81 × 0.40 = 32.4
⚡ Performance (20% weight)65 × 0.20 = 13.0
🏗️ Architecture & Trust (15% weight)85 × 0.15 = 12.8
Weighted sum = 10.2 + 32.4 + 13.0 + 12.8
Global SEODiff Score = 68 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
52
Structure
avg 35
0
Schema
avg 9
75
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 5%
Rank #50424
+20 pts
Gap
AI (ACRI)
Top 25%
Score 73/100

semgrep.dev 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 semgrep.dev ranks here

Tech stackNetlify
Industrydeveloper
RenderingSSR
Schema coverage0 blocks
Token bloat2.3×

Fastest improvements

  • Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
  • 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

41/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

75 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

193 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 4
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://semgrep.dev
  • ✓ 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 — Semgrep App Security Platform | AI-assisted SAST, SCA and Secrets Detection
  • ✓ og:description — An extensible developer-friendly application security platform that scans source code to surface true and actionable security issues with AI-assisted SAST, SCA, and Secrets Detection solutions.
  • ✓ 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

81/100 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 →
semgrep.dev
58
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 52/100 — Fair
Structured Elements 118 elements (118 lists, 0 rows, 0 headers)
Total Words1467
Raw Density8.0%

🏷️ 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

60
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability60/100 — AI models can partially extract answers from this page
Crawl CostLow (30/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

43%
🗑️ 57%
Useful Content (43.0 KB)Bloat (54.1 KB)
Token Bloat Ratio2.3× — Lean

Multimodal Readiness

Visual Context54% Optimized for Vision
Image Alt Coverage55 / 102 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

68 Entropy
Fair Token Bloat: Medium
Noise Ratio: 55.7% · SNR: 0.80 · Signal: 11011 / Noise: 13848 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 semgrep.dev 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
Semgrep is an AI-powered code analysis platform that helps developers find and fix security vulnerabilities in their code, including supply chain risks and secrets.
Target Audience
Software developers, security engineers, DevOps engineers, and security teams.
Pricing Model
Free (Community Edition), Pro subscription with tiered pricing based on usage and features.
🔗 Integration Partners
GitHubGitLab
🏆 Competitive Moat
AI-powered analysis providing higher accuracy and fewer false positives compared to traditional SAST tools.
📊 Content Depth
7/10
🔄 Programmatic SEO Signals
BlogDocs
⚡ Key Pain Points
• Finding and fixing security vulnerabilities in code
• Managing software supply chain risks
• Hardcoded secrets
Analyzed by SEODiff AI · 2026-03-02

🔧 Tech Stack

FrameworkNetlify
AI-Readiness Score75/100
ServerNetlify
CDNnetlify
HTTP Status200
Load Time658 ms
Raw HTML Size97.1 KB
Visible Text Size43.0 KB

Performance & Speed

65/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

658 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

966
DOM nodes
97 KB
HTML payload
Lean page — fast for bots and users

🗄️ 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

85/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://semgrep.dev/assets/sitemap
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

119
internal links
6
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 58/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for semgrep.dev
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/semgrep.dev" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=semgrep.dev" 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
+3
Consistent readability
Δ delta
Site-Wide ACRI
62
Avg across 68 pages · Range 0–77
Topical Cohesion
6%
Topical Drift
TF-IDF cosine similarity
Total Words
85675
Avg Bloat
106.5×
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://semgrep.dev/blog/2020/how-to-prevent-html-email-injection-in-python-web-apps
How to prevent HTML email injection in Python web apps | Semgrep
pricing 77 9.7× 1855 💰 Pricing
https://semgrep.dev/blog/2020/preventing-sql-injection-a-django-authors-perspective
Preventing SQL injection: a Django author's perspective | Semgrep
pricing 77 7.9× 2302 💰 Pricing
https://semgrep.dev/blog/2020/semgrep-stop-grepping-code
Semgrep: Stop grepping code | Semgrep
pricing 77 7.1× 2741 💰 Pricing
https://semgrep.dev/blog/2020/type-awareness-in-semantic-grep
Type-awareness in semantic grep | Semgrep
pricing 77 6.6× 2818 💰 Pricing
https://semgrep.dev/blog/2021/taint-mode-is-now-in-beta
Taint mode is now in beta | Semgrep
pricing 77 7.6× 2454 💰 Pricing
https://semgrep.dev/blog/2021/python-static-analysis-comparison-bandit-semgrep
Python static analysis comparison: Bandit vs Semgrep | Semgrep
pricing 77 7.9× 2435 💰 Pricing
https://semgrep.dev/blog/2020/future-of-appsec-why-r2c
The future of AppSec and why I joined r2c | Semgrep
pricing 77 6.8× 2695 💰 Pricing
https://semgrep.dev/blog/2021/appsec-development-keeping-it-all-together-at-scale
Appsec Development: Keeping it all together at scale | Semgrep
pricing 77 6.3× 2976 💰 Pricing
https://semgrep.dev/blog/2021/javascript-static-analysis-comparison-eslint-semgrep
JavaScript static analysis comparison: ESLint vs Semgrep | Semgrep
pricing 77 6.9× 2846 💰 Pricing
https://semgrep.dev/blog/2020/exploiting-dynamic-rendering-engines-to-take-control-of-web-apps
Exploiting dynamic rendering engines to take control of web apps | Semgrep
pricing 77 6.4× 3127 💰 Pricing
https://semgrep.dev/blog/2021/protect-your-github-actions-with-semgrep
Protect Your GitHub Actions with Semgrep | Semgrep
pricing 77 6.8× 2960 💰 Pricing
https://semgrep.dev/blog/2021/four-levels-of-maturity-that-bridge-the-app-sec-engineering-divide
Four levels of maturity that bridge the AppSec / engineering divide | Semgrep
pricing 77 7.4× 2411 💰 Pricing
https://semgrep.dev/blog/2020/understanding-and-preventing-dos-in-web-apps
Not all attacks are equal: understanding and preventing DoS in web applications | Semgrep
pricing 77 6.1× 3171 💰 Pricing
https://semgrep.dev/blog/2021/semgrep-a-static-analysis-journey
Semgrep: a static analysis journey | Semgrep
pricing 77 6.3× 3046 💰 Pricing
https://semgrep.dev/blog/2020/writing-semgrep-rules-a-methodology
Writing Semgrep rules | Semgrep
pricing 77 7.6× 2373 💰 Pricing
https://semgrep.dev/blog/2020/fixing-leaky-logs-how-to-find-a-bug-and-ensure-it-never-returns
Fixing leaky logs: how to find a bug and ensure it never returns | Semgrep
pricing 77 8.3× 2188 💰 Pricing
https://semgrep.dev/blog/2021/how-we-made-semgrep-rules-run-on-semgrep-rules
How we made Semgrep rules run on Semgrep rules | Semgrep
pricing 67 10.2× 1685 💰 Pricing
https://semgrep.dev/blog/2020/introducing-semgrep-and-r2c
Introducing Semgrep and r2c | Semgrep
pricing 67 14.0× 1166 💰 Pricing
https://semgrep.dev/blog/2020/personal-and-team-use-in-bento-08
Using Bento individually and on team projects | Semgrep
pricing 67 13.8× 1190 💰 Pricing
https://semgrep.dev/blog/2020/when-devsecops-goes-wrong-a-short-lesson-from-huaweis-source-code
When DevSecOps goes wrong | Semgrep
pricing 67 16.8× 964 💰 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
/blog/ 59 67 0% 16.4× High JS Bloat
/pricing/ 1 59 0% 32.2× High JS Bloat
/about/ 1 59 0% 26.1× High JS Bloat
/features/ 1 17 1% 2058.8× Bot Blocked
/faq/ 1 17 1% 2058.8× Bot Blocked
/products/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 57 0% 11.2× High JS Bloat
/case-studies/ 1 49 0% 32.2× High JS Bloat
/integrations/ 1 17 1% 2058.8× Bot Blocked
🔄 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/semgrep.dev

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 semgrep.dev. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
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📊 Semantic Share of Voice

How often would an AI cite semgrep.dev 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 semgrep.dev. 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": "Semgrep",
  "url": "https://semgrep.dev",
  "logo": "https://semgrep.dev/build/assets/favicon-32x32-CLzO_3Uq.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": "Semgrep",
  "url": "https://semgrep.dev",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://semgrep.dev/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
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 Semgrep?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Semgrep does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Semgrep work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Semgrep."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for semgrep.dev:

Current Score
73
Projected Score
86
Improvement
+13 pts
Add Organization schema +6 pts
Add WebSite schema +4 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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