page-seo-analysis
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npx mdskill add indranilbanerjee/digital-marketing-pro/page-seo-analysisAudit single-page SEO signals for ranking optimization.
- Identifies on-page gaps in titles, meta data, and content depth.
- Integrates with brand profiles and live page HTML retrieval.
- Scores elements against E-E-A-T standards and keyword density targets.
- Generates prioritized fix lists for landing page improvements.
SKILL.md
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--- name: page-seo-analysis description: "Analyze SEO for a single page. Use when: auditing on-page signals, schema, content quality, E-E-A-T, or AI search readiness." argument-hint: "[URL]" user-invocable: true --- # /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