URL Analysis
Get a complete AI optimization audit for any public web page.
URL Analysis evaluates how well any page is optimized for AI discovery, citation, and recommendation. You get actionable improvements for structure, metadata, schema, content depth, tone, and trust signals.
What It Does
- Scrapes and analyzes any public web page
- Evaluates content structure, readability, and AI-friendliness
- Audits meta tags (title, description) with specific rewrite recommendations
- Analyzes JSON-LD structured data with exact fix examples using your actual content
- Assesses FAQ coverage and natural-language question patterns
- Evaluates calls-to-action for clarity and prominence
- Analyzes topical authority depth — are you covering the full topic or just a surface slice?
- Audits internal link architecture — is your site building a navigable topic cluster AI can follow?
- Checks conversational tone — flags jargon and corporate language, suggests plain-language rewrites
- Evaluates E-E-A-T trust signals — licenses, certifications, author credentials, and other authority markers
- Scores entity density & node specificity — measures named entities vs. generic marketing phrases; flags vague sections with exact substitution recommendations
- Measures page ingestion time — times the actual fetch of your page and rates it fast / moderate / slow
- Audits every image on the page — detects oversized images, legacy formats, missing dimensions, and missing lazy-load attributes
- Provides a prioritized improvement plan
How to Generate a Report
🛠️ Step 1: Navigate to URL Analysis
From the ai12z GEO portal, select URL Analysis from the navigation menu.
🛠️ Step 2: Click + Generate Report
Click the + Generate Report button in the top-right corner.
🛠️ Step 3: Enter the URL
| Field | Description |
|---|---|
| Source URL | The public URL of the page you want to analyze |
🛠️ Step 4: Submit and Wait
Click Submit Job. The analysis runs asynchronously. Click Refresh to check for completion.
🛠️ Step 5: View Your Report
Once complete, click View PDF for the full report or View HTML for a sanitized page preview.
Analysis Areas
1. Content Structure
- Heading hierarchy quality and readability score
- Use of lists, tables, and scannable formatting
- Recommendations for specific heading and formatting fixes
2. Topical Authority Depth
- Sub-topics covered vs. missing on the page
- Recommended supporting pages to create (with titles and H2 structure)
- Surface treatment vs. definitive source assessment
3. Internal Link Architecture
- Internal links found and their relevance to the topic
- Missing link opportunities to build a stronger topic cluster
- Topic cluster coherence assessment
4. Tone Analysis
- Jargon density rating (low / moderate / high)
- Passive voice usage percentage
- Corporate phrasing assessment with plain-language rewrite suggestions
- Alignment with your chatbot's configured tone and purpose
5. E-E-A-T Trust Signals
- Trust signals present vs. missing (licenses, certifications, credentials, years in business)
- Specific recommendations for what to add and where to place it
- Author credential assessment
6. Entity Density & Node Specificity
- Specificity label: entity-rich / mixed / generic-heavy (based on named entity count vs. generic phrase count)
- Named entities already present on the page (brands, products, compliance terms, proper nouns)
- Generic sections flagged with example text and why it's too vague for AI citation
- Substitution table: each generic phrase with a specific, entity-rich replacement
- Unattributed statistics identified with suggested attribution format
7. Meta Tags Audit
- Title tag: exists, content, length, quality, issues, recommended rewrite
- Meta description: exists, content, length, quality, issues, recommended rewrite
- Overall assessment (strong / moderate / weak / critical)
8. JSON-LD Schema Analysis
- Schema types currently present on the page
- Missing properties with example values based on your actual content
- Schema types you should add
- Structured data quality score (0–100)
9. FAQ Coverage
- Natural-language questions the page currently answers
- Missing FAQ patterns the page should address
- FAQ coverage score (0–100)
10. Call-to-Action Analysis
- Primary and secondary CTAs identified with text, action, prominence, and location
- Clarity scoring (strong / moderate / weak / missing)
- Issues found and specific improvement recommendations
11. Authority & Citeability
- Use of specific data, examples, and citations
- Expert framing and credibility signals
- First-paragraph assessment — does it open with a direct answer?
- Subheading quality — are headings phrased as questions?
- Recommendations for making content more extractable for AI
12. Page Speed & Image Audit
- Actual ingestion time measured in milliseconds, rated fast less than 1s / moderate 1–3s / slow greater than 3s
- Total image count and per-image breakdown: file size, format, dimensions, lazy-load attribute, alt text
- Oversized images (>100KB) flagged with specific compression and format recommendations
- Legacy formats (JPEG/PNG/GIF) flagged with WebP/AVIF conversion suggestions
- Images missing explicit
width/heightorloading="lazy"flagged - Actionable recommendations prioritized by impact on AI crawler ingestion speed
Scoring Methodology
The GEO Score (0–100) combines two components:
Body Score (0–70) — Weighted across 8 factors:
- Direct answer match
- Entity clarity
- Structure & extractability
- Topical completeness
- Evidence & support
- Expertise & depth
- Freshness
- Ambiguity control
Eligibility Score (0–30) — Weighted across:
- Structured data / JSON-LD quality
- Authorship & date signals
- Update signaling
Penalties subtract from the total:
| Penalty | Points |
|---|---|
| Main answer not in first 40% of body | -8 |
| Primary entity ambiguous | -5 |
| Major claim without evidence | -5 |
| Generic headings | -3 |
| Section contradictions | -3 |
Key Outputs
- GEO Score (0–100) — Overall page optimization rating with body + eligibility breakdown
- Executive Summary — Top strengths, weaknesses, and 5 priority actions
- 12 Analysis Sections — Full findings for each area listed above
- Meta Tag Recommendations — Exact suggested rewrites for title and description
- JSON-LD Examples — Ready-to-implement schema with your content already filled in
- CTA Improvements — Specific wording and placement suggestions
- Entity Density Report — Specificity label, named entities detected, generic section flags, substitution table
- Page Speed Report — Ingestion time rating, total image weight, oversized image table with per-image compression recommendations
- PDF Report — Complete audit document
- HTML Preview — Sanitized page preview for side-by-side analysis
Understanding the Report Table
| Column | Description |
|---|---|
| Date | When the report was generated |
| Source URL | The page that was analyzed |
| Score | GEO Score (0–100) |
| Summary | Brief description of findings |
| Report | Link to download the PDF |
| HTML | Link to view the sanitized HTML preview |
Perfect For
- SEO specialists optimizing individual pages
- Content creators improving existing articles
- Developers implementing structured data
- Marketing teams strengthening landing pages
- Local service businesses building topical authority
- Anyone preparing content for AI citation
Example Use Case
A home services company audits their water heater repair page. The analysis reveals: (1) no JSON-LD schema, (2) missing sub-topics (permitting, repair vs. replace, water heater types), (3) high jargon score with corporate phrasing, (4) no license number on the page, (5) zero internal links to related pages.
Using the recommendations, they add LocalBusiness schema, create 3 supporting pages, rewrite key sentences in plain language, add their contractor license to the footer, and link to their related service pages. AI assistants begin citing them as the local expert for water heater questions within 30 days.