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.

Google Cloud - Websites Using Google Cloud

What Is Google Cloud Platform?

Google Cloud Platform runs on the same infrastructure powering Google Search, Gmail, YouTube, and Maps. Launched publicly in 2011, GCP has grown into a comprehensive provider with over 150 products across compute, storage, networking, databases, analytics, and machine learning. It operates from 40 regions and 121 zones connected by Google's private fiber network spanning over 100,000 miles of undersea cable.

Compute Services

Compute Engine provides VMs in predefined and custom machine types. Users specify exact vCPU and memory configurations. Spot VMs offer up to 91 percent discounts for fault-tolerant processing.

Google Kubernetes Engine is widely considered the most mature managed Kubernetes offering, unsurprising given Google invented Kubernetes. GKE Autopilot manages entire cluster infrastructure, charging only for pod resources consumed.

Cloud Run runs containerized applications with automatic scaling from zero. It supports any language or framework packaged in a container, eliminating infrastructure configuration while providing container flexibility.

Data and Analytics

GCP's strongest differentiator is its data ecosystem. BigQuery is a serverless data warehouse analyzing petabytes with standard SQL. BigQuery ML trains models directly within SQL queries. Dataflow offers managed stream and batch processing. Pub/Sub enables real-time messaging at global scale.

Machine Learning and AI

Vertex AI provides a unified ML platform with AutoML capabilities. Gemini multimodal AI models are available through the API. Pre-trained APIs for Vision, Speech, Natural Language, and Translation add AI capabilities through simple API calls. TPUs provide custom-designed AI accelerators for training large neural networks.

Storage and Databases

Cloud Storage offers unified object storage with Standard, Nearline, Coldline, and Archive classes. Cloud Spanner provides globally distributed, strongly consistent relational databases. Firestore is a serverless document database with offline support and real-time sync.

Networking

Google's private global network is a key advantage. Cloud CDN caches at edge points. Cloud Load Balancing provides global, cross-region balancing with single anycast IPs.

Pricing

Automatic sustained use discounts reduce VM costs as monthly usage increases. Committed use discounts provide up to 57 percent savings. GCP often proves cost-competitive for compute-intensive workloads.

Why Teams Choose GCP

Organizations choose GCP primarily for data and AI capabilities. BigQuery, Vertex AI, and pre-trained APIs create a cohesive environment for data-driven development. The network infrastructure delivers exceptional performance for globally distributed applications.

Google Cloud

Websites Using Google Cloud