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page-seo-analysis

针对单个 URL 做深度 SEO 分析,覆盖标题与元描述、内容深度、E-E-A-T、Schema 标记、图片、内链、技术信号与 AI 搜索就绪度,按 8 个维度各 10 分输出 XX/80 评分,并给出替换标题与元描述、缺失 JSON-LD 代码、竞品差距及优先修复项。

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最近更新 2026-10-18 21:32:50
分类:营销依赖:联网浏览搜索 / 代码执行应用场景:市场分析 / 报告撰写 / 研究 / 推荐

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add seoskills.sh/page-seo-analysis
Metadata
name
page-seo-analysis
description
Analyze the SEO of one URL, scored /80 with paste-ready fixes. "analyze the SEO of this page"
argument-hint
[URL]
user-invocable
true

/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