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Marketing & ContentIntermediate

Page Seo Analysis

Analyze SEO for a single page.

15 minutes
By communitySource
#page#seo#analysis

Marketing teams lose hours to ad-hoc, inconsistent page seo analysis work — Analyze SEO for a single page. Use when: auditing on-page signals, schema, content quality, E-E-A-T, or AI search readiness. This playbook turns the process into a repeatable, brand-aware workflow.

Who it's for: SEO specialists, content marketers, technical SEO leads, growth marketers

Example

"Run /page-seo-analysis for our brand" → Page Seo Analysis workflow output with brand context, structured inputs captured, process steps executed, and a complete deliverable ready for review.

CLAUDE.md Template

New here? 3-minute setup guide → | Already set up? Copy the template below.

# Page Seo Analysis

# /dm:page-analysis

## Purpose

Deep single-page SEO analysis — examines everything about one URL across all ranking dimensions. More granular than a site-wide audit. Use for landing page optimization, content refresh prioritization, or pre-publish quality checks.

## Input Required

- **URL**: The specific page to analyze
- **Target keyword**: Primary keyword this page should rank for (optional — can be inferred)
- **Competitors**: 1-3 competitor pages targeting the same keyword (optional)

## Process

1. **Load brand context**: Read active brand profile. Load brand guidelines if available.
2. **Fetch and parse page**: Retrieve full HTML, extract all signals.
3. **Title tag analysis**: Character count (50-60 chars ideal), keyword placement, brand inclusion, uniqueness, click-worthiness.
4. **Meta description analysis**: Character count (150-160 chars), keyword inclusion, CTA presence, uniqueness.
5. **Heading hierarchy**: H1 presence and uniqueness, H2-H6 logical structure, keyword distribution across headings.
6. **Content depth analysis**: Word count, reading level, topic coverage completeness, keyword density (target 1-2%), semantic keyword usage, content freshness (last modified date).
7. **E-E-A-T signals**: Author byline and bio, credentials, first-hand experience indicators, citations and sources, about page link, contact information.
8. **Schema markup detection**: JSON-LD, Microdata, RDFa — validate against Google's supported types, check for deprecations (HowTo deprecated Sept 2023, FAQ restricted to gov/health Aug 2023, SpecialAnnouncement deprecated July 2025), suggest missing schema opportunities.
9. **Image audit**: Alt text, dimensions, format, lazy loading, fetchpriority on LCP image (see image-seo-audit skill for full methodology).
10. **Internal linking**: Inbound links to this page, outbound links from this page, anchor text quality, orphan page check.
11. **Technical signals**: Canonical tag, robots directives, mobile viewport, HTTPS, page speed indicators, Core Web Vitals.
12. **AI search readiness**: Entity consistency, citation-worthiness, structured answer formatting, concise answer blocks for featured snippets.
13. **Competitor comparison** (if provided): Side-by-side analysis of word count, schema, headings, E-E-A-T signals vs competitor pages.

## Schema Deprecation Tracking

Always check and flag:
- **HowTo**: Deprecated (September 2023) — rich results removed
- **FAQ**: Restricted to government and health authority sites (August 2023)
- **SpecialAnnouncement**: Deprecated (July 2025)
- **EnergyConsumptionDetails**: Replaced by Certification schema (April 2025)

## Output

### Page SEO Score: XX/100

| Dimension | Score | Priority Issues |
|-----------|-------|-----------------|
| Title & Meta | /10 | ... |
| Content Depth | /10 | ... |
| E-E-A-T | /10 | ... |
| Schema Markup | /10 | ... |
| Images | /10 | ... |
| Internal Links | /10 | ... |
| Technical | /10 | ... |
| AI Readiness | /10 | ... |

- Specific, actionable recommendations for each dimension
- Exact replacement title tags and meta descriptions (with character counts)
- Missing schema markup JSON-LD code (ready to implement)
- Content gaps vs competitors
- Quick wins vs strategic improvements

## Agents Used

- **seo-specialist** — All page-level analysis, scoring, recommendations

## Scripts Used

- **tech-seo-auditor.py** — Technical signal extraction
- **content-scorer.py** — Content quality scoring
- **schema-generator.py** — Generate missing schema markup
- **competitor-scraper.py** — Competitor page comparison
README.md

What This Does

Deep single-page SEO analysis — examines everything about one URL across all ranking dimensions. More granular than a site-wide audit. Use for landing page optimization, content refresh prioritization, or pre-publish quality checks.


Quick Start

Step 1: Create a Project Folder

Create a dedicated folder for this workflow (e.g. ~/marketing/page-seo-analysis).

Step 2: Download the Template

Click Download above and save the file as CLAUDE.md in that folder.

Step 3: Run the Workflow

Open the folder in Claude Code and describe your goal. Claude will prompt you for any missing inputs, follow the structured process, and produce a complete deliverable.


Inputs You'll Need

  • URL: The specific page to analyze
  • Target keyword: Primary keyword this page should rank for (optional — can be inferred)
  • Competitors: 1-3 competitor pages targeting the same keyword (optional)

How It Works

  1. Load brand context: Read active brand profile. Load brand guidelines if available.
  2. Fetch and parse page: Retrieve full HTML, extract all signals.
  3. Title tag analysis: Character count (50-60 chars ideal), keyword placement, brand inclusion, uniqueness, click-worthiness.
  4. Meta description analysis: Character count (150-160 chars), keyword inclusion, CTA presence, uniqueness.
  5. Heading hierarchy: H1 presence and uniqueness, H2-H6 logical structure, keyword distribution across headings.
  6. Content depth analysis: Word count, reading level, topic coverage completeness, keyword density (target 1-2%), semantic keyword usage, content freshness (last modified date).
  7. E-E-A-T signals: Author byline and bio, credentials, first-hand experience indicators, citations and sources, about page link, contact information.
  8. Schema markup detection: JSON-LD, Microdata, RDFa — validate against Google's supported types, check for deprecations (HowTo deprecated Sept 2023, FAQ restricted to gov/health Aug 2023, SpecialAnnouncement deprecated July 2025), suggest missing schema opportunities.
  9. Image audit: Alt text, dimensions, format, lazy loading, fetchpriority on LCP image (see image-seo-audit skill for full methodology).
  10. Internal linking: Inbound links to this page, outbound links from this page, anchor text quality, orphan page check.
  11. Technical signals: Canonical tag, robots directives, mobile viewport, HTTPS, page speed indicators, Core Web Vitals.
  12. AI search readiness: Entity consistency, citation-worthiness, structured answer formatting, concise answer blocks for featured snippets.
  13. Competitor comparison (if provided): Side-by-side analysis of word count, schema, headings, E-E-A-T signals vs competitor pages.

What You Get

Page SEO Score: XX/100

Dimension Score Priority Issues
Title & Meta /10 ...
Content Depth /10 ...
E-E-A-T /10 ...
Schema Markup /10 ...
Images /10 ...
Internal Links /10 ...
Technical /10 ...
AI Readiness /10 ...
  • Specific, actionable recommendations for each dimension
  • Exact replacement title tags and meta descriptions (with character counts)
  • Missing schema markup JSON-LD code (ready to implement)
  • Content gaps vs competitors
  • Quick wins vs strategic improvements

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