What does StackOptic analyze?

StackOptic runs 18 analysis modules on any public website from a single URL. It detects 7,000+ technologies (CMS, frameworks, analytics, payments, CDN, hosting), evaluates SSL certificates and HTTP security headers with grades from A+ to F, measures Core Web Vitals (LCP, CLS, TBT, FCP), audits SEO meta tags and structured data, checks email security (SPF, DKIM, DMARC), analyzes AI & LLM readiness including bot access and llms.txt validation, extracts color palettes and typography, estimates carbon footprint, and generates permanent shareable reports.

Does it work on sites behind Cloudflare or bot protection?

Yes. StackOptic uses a real browser engine that loads pages exactly like a human visitor — executing JavaScript, rendering CSS, and handling redirects. This allows it to bypass Cloudflare, LiteSpeed, Sucuri, and other bot protection systems where traditional crawlers and HTTP-only tools fail.

What do I get on the free plan?

The free plan includes 5 analyses per day with access to all 18 modules, full scores, technology detection, and security grades. Every report is permanently accessible via a unique shareable URL — no login required to view. No credit card needed. AI-powered insights, re-analysis, PDF/JSON export, and comparison features are available on Pro ($24/mo) and Agency ($99/mo) plans.

What is AI & LLM readiness analysis?

This module evaluates how visible and citable your website is to AI search engines like ChatGPT, Perplexity, Google AI Overviews, and Claude. It audits access permissions for 8 major AI bots, validates llms.txt and llms-full.txt files, scores citation-ready content structure, and analyzes structured data (JSON-LD) for GEO readiness — helping you rank in the next generation of search.

How long does an analysis take?

Most analyses complete in under 10 seconds. StackOptic runs all 18 modules in parallel using a real browser session, so you get technology detection, security audit, performance metrics, SEO analysis, and AI readiness scoring simultaneously.

How accurate are the results?

Detection is based on real browser execution — DOM inspection, JavaScript runtime analysis, HTTP headers, and DNS records. With 7,000+ technology signatures and Lighthouse-calibrated performance scoring, StackOptic achieves high accuracy for mainstream technologies.

What security checks are performed?

The security module evaluates SSL/TLS certificates, 12+ HTTP security headers (HSTS, CSP, X-Frame-Options, Permissions-Policy, Referrer-Policy), HTTPS enforcement, and email authentication (SPF, DKIM, DMARC). Each site receives a letter grade from A+ to F with specific remediation steps.

Do you store the websites I analyze?

StackOptic only stores publicly available information that any visitor to a website would see — HTML content, HTTP headers, DNS records, and screenshots. We do not access private data, log in to websites, or perform any intrusive testing.

Technology Comparison

Rock Content vs Python

Side-by-side comparison based on real-world adoption data from 17 detections across analyzed websites.

Market Share Distribution

Rock Content (6%)Python (94%)

Total Detections

Rock Content

Python

HIGHER

Websites Using

Rock Content

Python

HIGHER

Used Together

websites use both

Rock Content

Other

Rock Content is a content marketing platform. It provides tools and resources for creating, distributing, and measuring content to help businesses engage their audience and achieve marketing goals.

1 detections

1 sites

Visit Website View Profile

Python

Other

Python is a high-level, general-purpose programming language known for its readability and versatility. It supports multiple programming paradigms, including object-oriented, imperative, and functional programming, making it a popular choice for web development, data science, artificial intelligence, and automation.

16 detections

16 sites

Visit Website View Profile

Our Analysis

Python is significantly more popular than Rock Content in our dataset, appearing on 16 websites compared to 1. Both are in the Other category, making them direct alternatives.

Sites Using Both (0)

No sites use both technologies together.

Only Rock Content

rockcontent.com

Only Python

binghamton.edu blogsky.com cygwin.com ebc.com.br eu.org k-state.edu ksu.edu launchpad.net omnigroup.com pik-potsdam.de

Frequently Asked Questions

What is the difference between Rock Content and Python?

Rock Content is a content marketing platform. It provides tools and resources for creating, distributing, and measuring content to help businesses engage their audience and achieve marketing goals. Python is a high-level, general-purpose programming language known for its readability and versatility. It supports multiple programming paradigms, including object-oriented, imperative, and functional programming, making it a popular choice for web development, data science, artificial intelligence, and automation. Both belong to the Other category, making them direct alternatives.

Which is more popular, Rock Content or Python?

Based on our analysis of real websites, Python is more widely adopted with 16 detections compared to Rock Content's 1.

Can Rock Content and Python be used together?

In our current dataset, no websites use both technologies simultaneously. This suggests they typically serve as alternatives rather than complementary tools.

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