TM Google Site Analyzer vs. Other Site Auditors: What Sets It Apart

TM Google Site Analyzer: Complete Guide to Features & SetupTM Google Site Analyzer is a comprehensive website auditing tool designed to help developers, SEOs, and site owners identify issues affecting site performance, SEO, and user experience. This guide walks through its core features, installation and setup, how to run analyses, interpret results, and apply fixes. Where helpful, I include practical examples and configuration tips to get the most value from the tool.

---

What is TM Google Site Analyzer?

TM Google Site Analyzer is a site auditing tool that scans websites to detect technical SEO problems, performance bottlenecks, accessibility issues, and best-practice violations. It aggregates results into actionable reports, prioritized by severity and estimated impact, so you can focus on fixes that deliver the biggest gains.

Key use cases:

• Technical SEO audits (crawlability, indexability, metadata)
• Performance and Core Web Vitals checks
• Accessibility and semantic HTML validation
• Security and best-practice recommendations
• Ongoing monitoring and regression detection

---

Core features

• Crawl and index simulation: mimics how search engines crawl your site, revealing blocked resources, broken links, and sitemap issues.
• Performance metrics: measures page speed, Time to First Byte (TTFB), Largest Contentful Paint (LCP), Cumulative Layout Shift (CLS), and more.
• SEO checks: evaluates title tags, meta descriptions, canonical tags, structured data, hreflang, robots.txt, and XML sitemaps.
• Accessibility audits: runs ARIA checks, color contrast analysis, keyboard navigability tests, and semantic structure validations.
• Security checks: detects mixed content, insecure HTTP links, missing security headers (CSP, HSTS), and outdated TLS.
• Crawl maps and visualizations: site structure graphs and link heatmaps to identify orphan pages and deep-linked content.
• Custom rules & integrations: create custom audit rules and integrate with CI/CD, Google Analytics, Search Console, and issue trackers.
• Reporting and scheduling: generate PDF/HTML reports, schedule regular audits, and export results as CSV/JSON.

---

Installation and setup

Requirements:

• Node.js (LTS recommended) or Docker (recommended for isolated runs)
• Access to the target site (public or via authenticated crawl settings)
• Optional: API keys for Google Search Console, Google Analytics, and performance APIs

Installation (Docker — simplest):

1. Pull the image:

   
   docker pull tm/google-site-analyzer:latest 

2. Run a basic analysis:

   
   docker run --rm tm/google-site-analyzer:latest analyze --url https://example.com --output report.html 

Installation (Node.js):

1. Install via npm:

   
   npm install -g tm-google-site-analyzer 

2. Run:

   
   tm-gsa analyze --url https://example.com --output report.html 

Authentication for private sites:

• Use HTTP basic auth flags:

  
  --auth-user USER --auth-pass PASS 

• Or provide cookies/session headers:

  
  --header "Cookie: session=ABC123" 

• For form-based login, configure a login script or use the headless browser mode with credentials.

Configuration file (sample config.json):

{   "startUrl": "https://example.com",   "maxDepth": 5,   "concurrency": 4,   "auth": {     "type": "basic",     "username": "user",     "password": "pass"   },   "integrations": {     "searchConsole": "YOUR_SEARCH_CONSOLE_KEY",     "analytics": "YOUR_GA_KEY"   },   "rules": {     "checkLCP": true,     "checkCLS": true   } } 

---

Running your first audit

1. Choose scope: full site crawl vs. single URL vs. sitemap. For new users, start with a sitemap-based audit to limit scope.
2. Set concurrency and depth to avoid overloading the target server (e.g., concurrency: 2–4; maxDepth: 4).
3. Enable performance and accessibility audits if you need those metrics; they require headless browser runs (Chromium) and are slower.
4. Launch the scan and monitor logs for blocked resources or authentication failures.

Example command combining options:

tm-gsa analyze --url https://example.com --sitemap https://example.com/sitemap.xml --max-depth 4 --concurrency 3 --output report.html --enable-performance --enable-accessibility 

---

Understanding the report

Reports are typically divided into sections. Focus first on high-severity items with SEO or performance impact.

Priority sections:

• Critical issues: broken pages (4xx/5xx), blocked resources (robots.txt), canonical conflicts.
• Performance: LCP, FID/INP, CLS, TTFB issues and top-slowing resources (images, render-blocking CSS/JS).
• SEO: missing/duplicate titles and descriptions, incorrect hreflang, non-indexable pages.
• Accessibility: missing alt attributes, form label issues, contrast failures.
• Security & best practices: mixed content, missing HSTS, outdated TLS protocols.

Each finding includes:

• A short description
• Affected URL list
• Steps to reproduce
• Suggested fixes and priority

---

Common fixes and examples

• Duplicate title tags: Fix: Ensure each page has a unique

• Slow LCP due to large hero images: Fixes: optimize images (WebP/AVIF), use responsive srcset, set width/height attributes, lazy-load below-the-fold. Example:

• Pages blocked by robots.txt: Fix: Edit robots.txt to allow important assets and pages; avoid blocking CSS/JS needed for rendering.

• Missing security headers: Fix: Add headers via web server or CDN (e.g., Content-Security-Policy, Strict-Transport-Security).

---

Integrations & automation

• CI/CD: Run audits in pre-deploy and post-deploy steps. Fail builds on regressions (e.g., LCP worsens or critical issues appear).
• Issue trackers: Auto-create tickets for critical failures using the tool’s integrations (Jira, GitHub).
• Monitoring: Schedule daily or weekly scans and compare trend lines for Core Web Vitals and SEO health scores.

Example GitHub Action (simplified):

name: Site Audit on: [push] jobs:   audit:     runs-on: ubuntu-latest     steps:       - uses: actions/checkout@v4       - name: Run TM Google Site Analyzer         run: |           npm install -g tm-google-site-analyzer           tm-gsa analyze --url https://example.com --output report.json       - name: Upload report         uses: actions/upload-artifact@v4         with:           name: site-audit-report           path: report.json 

---

Tips for large sites

• Use sitemaps and domain sharding to split audits into manageable chunks.
• Start with a representative sample of high-traffic pages, then expand.
• Increase concurrency carefully; coordinate with your hosting provider during full crawls.
• Keep a baseline report to detect regressions after releases.

---

Troubleshooting

• Headless browser failures: ensure Chromium is available (Docker image usually includes it) and increase timeout flags.
• Authentication issues: verify cookies, token expiry, and consider running a login script that captures session cookies correctly.
• False positives: cross-check with live testing (Lighthouse, Search Console) before making sweeping changes.

---

FAQ (short)

Q: Does it run JavaScript?
A: Yes — enable headless/browser mode to evaluate JS-rendered pages and measure CWV.

Q: Can it crawl behind authentication?
A: Yes — supports basic auth, cookies, headers, and scripted logins.

Q: How to reduce runtime?
A: Limit depth, use sitemaps, disable heavy audits (performance/accessibility) when not needed.

---

Conclusion

TM Google Site Analyzer combines crawl-based insights, performance metrics, SEO checks, and accessibility audits into a single workflow. Use sitemaps, prioritize critical fixes, automate in CI, and track trends to maintain site health and search visibility over time.