content-effort-audit
Score visible effort evidence on specified URLs. Use when the user asks for a Content Effort audit, rater-style effort scoring, low-effort AI content review, or whether a page would look Lowest under QRG §3.2. Distinct from library keep/refresh/prune (seo-aeo-content-strategy) and from on-page ski-ramp implementation (on-page-seo-aeo-optimization).
- License 许可
- MIT
- 最近更新
- 2026-09-16
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- ★ 19
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01 前言 Front Matter
- name
- content-effort-audit
- description
- Score visible effort evidence on specified URLs. Use when the user asks for a Content Effort audit, rater-style effort scoring, low-effort AI content review, or whether a page would look Lowest under QRG §3.2. Distinct from library keep/refresh/prune (seo-aeo-content-strategy) and from on-page ski-ramp implementation (on-page-seo-aeo-optimization).
02 资源文件 2
- 参考文档references/vee-rubric.md2.4 KB
- 参考文档references/worked-examples.md1.9 KB
03 SKILL.md 正文
Content Effort Audit
Score visible effort on finished URLs. Production hours, cost, and process do not count unless they left residue a stranger can point at.
Why this matters
Google’s Search Quality Evaluator Guidelines judge Main Content quality by effort, originality, and talent or skill, plus accuracy on informational/YMYL pages. 2025 updates made “little to no effort, originality, and added value” a Lowest path, including AI paraphrase and scaled content abuse. Generative AI alone does not determine the rating.
Three evidence layers stay separate:
- QRG effort — documented rater criterion (primary source).
- Leaked
contentEffort— reported LLM estimate for article pages. Mapping it to QRG is inference, not a Google statement. - People-first questions — original information, first-hand expertise, not just rewriting sources.
Do not brief “Content Effort is a confirmed ranking factor.” Operate as if visible effort is industrially scored. Label the leak as speculation.
Cross-links: library keep/refresh/prune → seo-aeo-content-strategy. Implementing effort adds on the page → on-page-seo-aeo-optimization.
Process
- Classify page purpose. Recipe, calculator, review, explainer, clip, documentary — the bar is relative to purpose, not word count.
- Gather visible evidence only. First-party facts, original artifacts, synthesis, craft, curation choices, added value vs substitutes. Ignore time logs, “human review” checkboxes, and origin stories that are not on the URL.
- Score six signals, 0–2 each (0–12 total). Use
references/vee-rubric.md. Do not invent Google’s weights. - Map to QRG language. 0–3 Lowest-risk evidence, 4–6 Low, 7–9 High, 10–12 Highest-evidence. Then apply the purpose modifier.
- Recommend specific effort adds. A zero on first-party information is a measurement or primary document, not “write more.” See the rubric’s add column.
- Flag site-level scaled low-effort only after sampling 3+ URLs that share a skeleton. One thin URL is a page problem.
- Hand off implementation to on-page SEO/AEO for ski-ramp, titles, and schema. This skill stops at the effort verdict.
Output
Per URL:
| Field | Required |
|---|---|
| Purpose class | Yes |
| Six-signal table (0–2) | Yes |
| Total /12 and band | Yes |
| QRG-aligned risk (Lowest / Low / High evidence) | Yes |
| Missing-evidence list | Yes |
| Prioritized effort adds | Yes |
| Leak column labeled inference | Yes |
| Scaled low-effort flag | Optional, after 3+ URL sample |
Worked pair: references/worked-examples.md.
Rules
- Visible effort ≠ production effort.
- Origin (human vs AI) ≠ rating.
- Word count is not a signal.
- Do not coin a fake “Google Content Effort score.”
- Do not collapse this audit into E-E-A-T or keep/refresh/prune.
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