---
id: indranilbanerjee/digital-marketing-pro/page-seo-analysis
version: "b8e4ca4e"
license: MIT
install: manual
updated: 2026-07-28
---

# page-seo-analysis — This skill evaluates your webpage's SEO performance across critical on-page factors like meta tags, heading structure, content quality, and keyword optimization. It delivers specific, implementable recommendations to strengthen search engine visibility and improve your ranking potential. Perfect for marketers and content teams seeking systematic SEO improvements.

Publisher: indranilbanerjee · Stars: 641 · Updated: 2026-07-28

Install (manual): `git clone https://github.com/indranilbanerjee/digital-marketing-pro`

## SKILL.md

# /digital-marketing-pro:page-seo-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 *placement* (primary keyword in title, intro, ≥2 H2s, conclusion, and meta — density is not a target; keyword-density percentages are a discredited metric, not a ranking factor), natural coverage of related/co-occurring terms, 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


[View on SkillFed](https://skillfed.io/indranilbanerjee/digital-marketing-pro/page-seo-analysis) · [View on GitHub](https://github.com/indranilbanerjee/digital-marketing-pro)