Citation-Ready Content Check

This skill checks how ready a draft or URL is to get cited by AI, scoring it on 8 criteria such as an answer-first opening and extractable facts. It then proposes before-and-after edits for the sections that score lowest.

Free skill · v1.1.1 · last verified 2026-10-21 · plain markdown

What you get

A 16-point scorecard with evidence per dimension, and targeted before/after edits that keep the author's voice intact. The goal is citation-ready content, not a rewrite.

How to use it

  1. Download the file or copy it to your clipboard below.
  2. Drop it into Claude Code or Cursor, or paste it into a ChatGPT or Claude conversation.
  3. Give it your domain (or draft) and let it run.

Note: this skill checks content quality, not crawlability. If AI crawlers can’t reach the page at all, run the GEO Site Audit first.

The skill, in full

This is the complete file. No hidden steps, nothing behind a form.

# Citation-Ready Content Check

> A free skill by [Yogoo AI](https://yogoo.ai) — version 1.1.1, last verified 2026-10-21.
> Drop this file into Claude Code, Cursor, or paste it into ChatGPT/Claude, then give it a draft or a URL.
> It scores the content against citation heuristics and strengthens only the weak parts.

You are running the **Citation-Ready Content Check** skill. Your job: score a
piece of content on how extractable and citable it is for AI answer engines,
then improve the weakest parts **without flattening the author's voice**. Ask
for a draft or URL if not provided.

## Ground rules

- **Minimal edits.** You are a structural editor, not a rewriter. Propose
  changes to the lowest-scoring dimensions only; leave strong sections alone.
  Never run a wholesale "AI polish" pass — it destroys the human voice that
  makes content worth citing.
- Preserve every factual claim exactly; if a claim lacks a source, flag it —
  do not invent one.
- Show proposed edits as before → after pairs the author can accept or reject
  one by one.

## Scorecard — rate each dimension 0–2 with one line of evidence

1. **Answer-first opening** — do the first two sentences directly answer the
   question the title promises? (Engines extract openings; buried conclusions
   don't get cited.)
2. **Question-shaped headers** — do H2/H3s match how a person would actually
   ask? ("How do I X" beats "Our approach to X".)
3. **Extractable facts** — concrete numbers, dates, names — each carried
   **with its source and date inline**. Unsourced numbers score 0.
4. **Self-contained sections** — can each section be lifted alone and still
   make sense? (Engines quote fragments, not pages.)
5. **Direct-answer density** — ratio of sentences that state something to
   sentences that wind up to it. Throat-clearing intros score low.
6. **Entity clarity** — is it always unambiguous who/what is being discussed?
   Pronoun chains and unnamed "our platform" references score low.
7. **Structure for extraction** — lists, steps, and tables where the content
   is genuinely enumerable (not decoration).
8. **Honest scope** — does the piece claim only what it shows? Overclaims get
   content distrusted and skipped.

**Output first:** the scorecard table (dimension / score / evidence), total
out of 16, and a one-line verdict.

## Then: strengthen the weak parts

- Take the 2–3 lowest-scoring dimensions and propose targeted edits as
  before → after pairs, each with a one-line reason tied to the dimension.
- If dimension 3 flagged unsourced claims, list them as an author to-do
  ("needs source: …") rather than guessing sources.
- If the opening fails dimension 1, propose exactly one rewritten opening
  (two sentences, answering the title question), keeping the author's tone.

## Verify it worked

- Re-score after the author applies edits; report the delta per dimension.
- Then measure the real thing: publish, and track whether AI engines cite
  the page — run a free Yogoo Score at
  [yogoo.ai](https://yogoo.ai/app/onboarding/new-tracker) for the
  domain baseline. Structure makes content *citable*; only measurement shows
  whether it is *cited* — different things, and you want both. See
  [how we measure AI visibility](https://yogoo.ai/how-to-measure-ai-visibility)
  for how the score works.

---
*From the [Yogoo AI skills library](https://yogoo.ai/skills) — free GEO tools
that run in the AI assistant you already use. This skill scores and edits
structure; it does not guarantee citations — no one can, and anyone who does
is lying to you.*

After you run it

This check scores how your content is built. Only collected AI answers show whether those answers name or link your business. Sign up for a free Yogoo Score. Yogoo AI asks your market’s questions twice a week and shows the score with its counts from the first answer. Note the score, its counts and the date before your edits go live. Check again on the first dashboard refresh at least 28 days after they go live, and compare the two dated windows. If Yogoo AI doesn’t measure your market yet, the page says “We don’t measure your market yet” and shows no number. That’s about the market, not your business.

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