Agent Skills › gooseworks-ai/goose-skills › improve-search-visibility-entity-footprint

improve-search-visibility-entity-footprint

GitHub

执行搜索可见性优化流程，核对品牌在搜索引擎和本地列表中的档案事实与评论，识别不一致项并生成具体的修正步骤和审核请求简报。

skills/marketing/improve-search-visibility-entity-footprint/SKILL.md gooseworks-ai/goose-skills

触发场景

需要优化品牌在搜索引擎和本地平台的搜索可见性检查并修正线上档案信息与品牌事实的不一致

安装

npx skills add gooseworks-ai/goose-skills --skill improve-search-visibility-entity-footprint -g -y

更多选项

非标准路径

npx skills add https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/improve-search-visibility-entity-footprint -g -y

不安装直接使用

npx skills use gooseworks-ai/goose-skills@improve-search-visibility-entity-footprint

指定 Agent (Claude Code)

npx skills add gooseworks-ai/goose-skills --skill improve-search-visibility-entity-footprint -a claude-code -g -y

安装 repo 全部 skill

npx skills add gooseworks-ai/goose-skills --all -g -y

预览 repo 内 skill

npx skills add gooseworks-ai/goose-skills --list

SKILL.md

Frontmatter

{
    "name": "improve-search-visibility-entity-footprint",
    "version": "0.1.1",
    "description": "Step of the improve-search-visibility playbook: checks the profiles answer engines read, plus local listings and reviews, against the brand's facts and writes corrections. Run improve-search-visibility instead; not for direct use."
}

entity-footprint

Reads: ../improve-search-visibility/references/entity-and-local.md; the canonical facts from the brain (name, one-liner, category, founding facts, domain, pricing, locations); brand-question accuracy errors from the citation check and the sources they traced to.

Does:

Confirm the canonical facts with the human if the brain lacks any (never guess founding year, HQ, NAP).
Pick the five profiles that matter for this type (always include any profile an engine cited for a wrong fact). Read each public page with the host's fetch where allowed (never G2, Capterra, Trustpilot or Amazon — they forbid automated collection; blocked or no fetch → ask for a screenshot, else "not checked"); mark complete / inconsistent / missing / unclaimed and list mismatches.
Local: per location (worst 2–3 first on a large chain) the Business Profile fields, NAP across directories, review count, average, recency and reply rate.
Write each correction as exact field values plus how to edit (claim steps, vendor portal, suggest-an-edit). Review gaps → a review-request brief addressed to email-lifecycle. No reply drafts: replying to reviews is not covered yet (say so plainly).

Writes: the entity table and candidate fixes. Never: drafts a Wikipedia article; adds an unsourced Wikidata item; suggests fake or gated reviews or incentives tied to a positive rating (a platform's own disclosed programme is fine); adds keywords to a Business Profile name.