/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/80

| 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