Content Quality Audit

Content Quality Audit

Audit a website's content for thinness and duplication, and produce an actionable report. These checks surface pages unlikely to rank or add value; they are signals for human review, calibrated to the site.

When to use this skill

Use this skill when the user asks to:

• Audit or fix thin / low-value content
• Find duplicate or near-duplicate pages (templated/boilerplate content)
• Check content depth or text-to-HTML ratio
• Identify doorway-style pages

Inputs to collect

1. Site URL or URL list — a live site root to crawl (auto-seeds from /sitemap.xml), or a text file with --url-list.
2. Scope — pages to crawl (default 500, --max-pages).
3. Thresholds — --thin-words (default 300) and --similarity (default 0.85). Calibrate to the content type before running.

Workflow

Step 1: Crawl and measure content

Use scripts/extract_content.py:

python3 scripts/extract_content.py https://example.com --max-pages 500 --output content_inventory.json
# already crawled once (e.g. in a full SEO audit)? skip the crawl and reuse the shared cache:
# python3 scripts/fetch_pages.py https://example.com --output page_cache.json
# python3 scripts/extract_content.py --from-cache page_cache.json --output content_inventory.json

For each page it records visible word count, text-to-HTML ratio, title, H1, noindex, an exact content hash, and a 32-value MinHash signature for fast near-duplicate detection.

Step 2: Run the audit checks

python3 scripts/audit_content.py content_inventory.json --thin-words 300 --similarity 0.85 --output audit_report.json

Step 3: Evaluate the audit checks

Evaluate each check in references/audit-checks.md. Core checks:

Step 4: Produce the report

Write a report following references/report-template.md: summary with the median word count for calibration, thin and duplicate content first, near-duplicate clusters grouped as patterns, and a prioritized action list.

Step 5: Recommend fixes

• Thin content: expand with useful content, consolidate several thin pages, or noindex pages that exist for non-search reasons.
• Duplicate/near-duplicate: canonicalize to one URL, consolidate, or add substantial unique content (cross-check canonical-tag-audit).
• Low ratio: increase real content or trim boilerplate markup.
• Missing H1: add one descriptive H1 (see heading-structure-audit).
• Always caveat JavaScript-rendered pages — this crawler doesn't run JS, so verify a flagged page isn't simply rendered client-side.
• Base every recommendation on the measured signals; never invent content.

Optional: export the report

As a Word document (.docx)

If the user wants the report as a .docx (for example, to share with stakeholders or attach to a ticket), save the Markdown report to a file and convert it:

python3 scripts/md_to_docx.py report.md --output report.docx

scripts/md_to_docx.py uses only the Python standard library (no pip install) and renders headings, tables, lists, links, bold/italic, and code blocks. Offer this whenever a user asks for a Word doc, a .docx, or a shareable/downloadable report.

As a CSV of findings (.csv)

If the user wants the raw findings as a spreadsheet (for filtering, sorting, or triage in Sheets or Excel), convert the audit's audit_report.json directly:

python3 scripts/findings_to_csv.py audit_report.json --output findings.csv

scripts/findings_to_csv.py is also standard-library only. It writes one row per finding, with check and severity columns prepended and list fields (e.g. the pages sharing a duplicate value) joined with ; . Unlike the .docx, which reformats the written report, the CSV is a direct dump of the structured findings — offer it whenever a user wants the data itself, a spreadsheet, or to slice findings by check or severity.

Resources

• scripts/md_to_docx.py — convert the Markdown report into a Word (.docx) document (standard library only)
• scripts/findings_to_csv.py — flatten the audit findings JSON into a CSV, one row per finding (standard library only)
• references/audit-checks.md — full definitions, thresholds, and rationale
• references/report-template.md — report output structure
• scripts/extract_content.py — crawl and measure content signals
• scripts/audit_content.py — run content-quality audit checks