SEO Content

seo-content

Heuristic content/GEO-readiness analysis of the visible text from seo-crawl. No network. Judgments are heuristic (marked Estimated); raw counts are Measured.

When to use

• The diagnose flow wants content-quality + GEO-readiness findings alongside the technical audit.
• Pre-publish check for AI tone / uncited claims / answer-first before writing or shipping content.

When NOT to use

• Technical SEO (indexability/meta/headings) — that is seo-tech-audit.
• Rewriting content — the agent's LLM does that in content mode; this only scores/flags.
• Anything needing the full DOM or JS-rendered text (works on the crawl's text_sample).

Preconditions

• A seo-crawl JSON whose page includes text_sample (the crawler provides it). Python 3.9+ stdlib only.

How to call

"$ORKAS_NODE" "$ORKAS_PC_DIR/bin/run-skill.cjs" seo-content content -- --input <crawl.json> [--out <content.json>]

--input seo-crawl JSON (omit/- for stdin); --out optional file.

Expected output

{ "ok": true, "data": {
  "content_score": 88,
  "findings": [ { "id": "ai_tone", "dimension": "content", "severity": "medium",
                  "evidence": "...", "recommendation": "...", "leading_indicator": "...",
                  "failure_criterion": "...", "data_tier": "Estimated" } ],
  "summary": { "total": 1 },
  "meta": { "url": "...", "claims_detected": 0, "ai_phrase_hits": 0, "avg_sentence_words": 0.0, "word_count": 0 } } }

Findings use dimension: "content" and feed seo-report --add. Failure: {"ok": false, "error": "..."} on stderr, non-zero exit.

Heuristics (deterministic)

• ai_tone: ≥3 filler/cliché phrases (delve, leverage the power, cutting-edge, …).
• uncited_claims: ≥3 statistic/quantity/authority/year claims with 0 outbound links.
• no_answer_first: ≥150 words but the opening paragraph is <60 chars (answer not front-loaded — GEO).
• long_sentences: average >30 words/sentence.
• title_body_mismatch: no significant title term appears in the H1/opening.