Page Analyzer — Help & Documentation
Comprehensive single-page SEO analysis covering meta tags, technology detection, readability, structured data, link analysis, and AEO/GEO AI visibility scoring.
Features
- Meta Tag Analysis — Title, description, keywords, robots, canonical, Open Graph, Twitter Cards
- Technology Detection — CMS, frameworks, analytics, advertising, tracking codes (GA4, GTM, AdSense)
- HTTP Headers — Response headers, security headers, caching headers
- Content Metrics — Page size, word count, readability scores (Flesch-Kincaid, Gunning Fog)
- Link Analysis — Internal, external, nofollow, duplicate detection
- Heading Structure — H1–H6 hierarchy visualization with issue detection
- Image Analysis — Alt text checking, dimension attributes, lazy loading
- Structured Data — JSON-LD parsing and validation, schema type detection
- AEO/GEO Score — AI visibility scoring with E-E-A-T signals and recommendations
- Word Cloud — Interactive visualization of keyword frequency by heading weight
How to Use
Enter a URL or paste raw HTML into the form.
For URLs, select a User Agent (Desktop, Mobile, Googlebot, GPTBot, etc.).
Click "Run Analysis" to start.
Navigate through the tabbed results to explore different aspects of the analysis.
Export results as JSON or CSV for further analysis or reporting.
Analysis Tabs Explained
Meta Tags
Analyzes all essential meta information including:
- Title — With character count and SERP preview guidance (optimal: 30–60 chars)
- Meta Description — With character count (optimal: 70–160 chars)
- Open Graph — Facebook/social sharing tags
- Twitter Cards — Twitter-specific sharing metadata
- Canonical URL — Self-referencing check
Technology Detection
Identifies technologies used on the page:
- CMS — WordPress, Drupal, Shopify, Wix, etc.
- Frameworks — React, Vue, Angular, Next.js, etc.
- Analytics — Google Analytics 4, Adobe Analytics, Mixpanel, etc.
- Tracking Codes — Extracts specific IDs like GA4 (G-XXXXX), GTM (GTM-XXXXX), AdSense (ca-pub-XXXXX)
AEO/GEO Analysis
Analyzes how AI systems (ChatGPT, Claude, Perplexity) perceive your content:
- AI Visibility Score — 0–100 score based on content structure, semantic clarity, and citability
- E-E-A-T Signals — Author, dates, citations, expertise indicators
- Content Extraction Preview — Shows what an AI would likely extract from your page
- Recommendations — Actionable suggestions to improve AI visibility
User Agents Available
| User Agent | Use Case |
|---|---|
| Desktop Chrome | Standard desktop browser view |
| Mobile iPhone | Mobile responsiveness testing |
| Tablet iPad | Tablet viewport testing |
| Googlebot | See page as Google's crawler does |
| Googlebot Mobile | Mobile-first indexing perspective |
| Bingbot | Bing search crawler view |
| GPTBot | OpenAI's web crawler |
| ClaudeBot | Anthropic's web crawler |
Readability Scores
Flesch Reading Ease
Score from 0–100 (higher = easier to read)
| 90–100 | Very Easy (5th grade) |
| 70–89 | Easy (6th–7th grade) |
| 60–69 | Standard (8th–9th grade) |
| 50–59 | Fairly Difficult (10th–12th grade) |
| 30–49 | Difficult (College) |
| 0–29 | Very Difficult (Graduate) |
Gunning Fog Index
Estimates years of formal education needed
| 6 or less | Easy to read |
| 7–8 | Conversational |
| 9–10 | Acceptable for most readers |
| 11–12 | Fairly difficult |
| 13–14 | Difficult |
| 15+ | Very difficult |
Best Practices
- Ensure your page has a single, descriptive H1 tag
- Keep meta descriptions between 120–160 characters
- Add Open Graph and Twitter Card tags for better social sharing
- Include author and publication date for E-E-A-T signals
- Use JSON-LD structured data for better AI understanding
- Aim for a Flesch Reading Ease score above 60 for general audiences
- Add alt text to all meaningful images
Word Cloud Weighting
The word cloud is weighted by content importance:
- Title words: 6x weight
- H1 words: 5x weight
- H2 words: 3x weight
- H3–H6 words: 1x extra
- Body text: 1x weight
Common stop words are filtered out automatically.