improve-search-visibility-citation-check
GitHub执行搜索可见性检查,在AI和Google表面运行买家问题,记录并评分品牌提及率。
触发场景
安装
npx skills add gooseworks-ai/goose-skills --skill improve-search-visibility-citation-check -g -y
SKILL.md
Frontmatter
{
"name": "improve-search-visibility-citation-check",
"version": "0.1.1",
"description": "Step of the improve-search-visibility playbook: runs the agreed buyer questions on AI and Google surfaces, records every run and scores how often the brand is named. Run improve-search-visibility instead; not for direct use."
}
citation-check
Reads: search/questions.md; ../improve-search-visibility/references/citation-protocol.md; the last run record's per-question snapshot (../improve-search-visibility/references/run-memory.md); the canonical brand facts from the brain (for accuracy checks on brand questions); the tracked competitor list.
Does:
- Free pass (step 1): ChatGPT, AI Overview and AI Mode in the host's own browser (private window, signed out; stop on any CAPTCHA or refusal and mark the surface), and the host's web search for who ranks, labelled "web search". Paid top-up (step 3, only after the one yes): Google's exact page one through
gooseworks:data_call_provider(providerscrapecreators, path/v1/google/search, the query and region), inside the ceiling (thespend-gateskill (../spend-gate/SKILL.md) proxy branch), stopping at it. No browser → the minimum paste set, offered in the first message. - Run — ChatGPT once per question and three times for the key questions; AI Overview and AI Mode once each when Google allows; Google page one once per question in the top-up; pasted: 5 questions (up to 4 key questions + at least one brand question), ChatGPT twice, AI Overview and AI Mode once each. New chat per question, memory off, never the brand name in non-brand prompts. Wait for each answer to finish (protocol's wait rule); unfinished answers are retried once, never scored as misses.
- Only this run's observations count. An earlier run's answers are the baseline from the last run record (
../improve-search-visibility/references/run-memory.md): shown as "last checked" beside today's reading and compared only like with like (same question version, same route and location, the noise rule there), never counted in today's numbers or tables. A surface not checked today says "not checked today". - Record every run with the full field list; save verbatim answers. Note whether ChatGPT searched (sources shown) — answers without search come from training memory.
- Classify every cited URL by source type. For brand questions, list each stated fact and compare it to the brain: correct / wrong (quote both) / not on file.
- Score each row (named k of N, won/partial/lost/no-brand answer, prominence, stable or unstable), then mention rate per surface and stage, own-citation rate, third-party coverage and share of voice against the brands the engines named. Won = ≥ ⅔ of runs; unstable = some but not all; one run is never stable.
Writes: the rows table used by the report and the verbatim runs file (search/visibility/<date>-runs.md, not imported); every charge is logged by the spend gate, and the report states credits charged against the ceiling in the gate's own words.
Never: reports one run as fact; passes an organic or API read off as what buyers see in the AI apps; ranks the brand "#2 in ChatGPT".
版本历史
- 1add09b 当前 2026-11-02 21:49


