ad-policy-check
Checks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the…
Step of the improve-search-visibility playbook: checks AI-crawler access, indexing and the pages behind lost questions, comparing each with the winning page. Run improve-search-visibility instead; not for direct use.
$ npx -y skills add gooseworks-ai/goose-skills --skill improve-search-visibility-page-and-foundation-check --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/improve-search-visibility-page-and-foundation-checkContext preview
The summary Claude sees to decide when to auto-load this skill.
Step of the improve-search-visibility playbook: checks AI-crawler access, indexing and the pages behind lost questions, comparing each with the winning page. Run improve-search-visibility instead; not for direct use.
name: improve-search-visibility-page-and-foundation-check description: >- Step of the improve-search-visibility playbook: checks AI-crawler access, indexing and the pages behind lost questions, comparing each with the winning page. Run improve-search-visibility instead; not for direct use. version: 0.1.0
**Reads:** `../improve-search-visibility/references/foundation-check.md`, `../improve-search-visibility/references/gap-to-fix.md`; the gap rows and the brand's nearest page for each lost key question; Search Console export if shared.
**Does (all free, in the step-1 free pass):** 0. **Find the pages.** `gooseworks:knowledge_import` in its website **discover** mode lists up to 25 same-site pages for free; pick the page nearest each lost question from it. Import mode only when the host cannot fetch pages at all: the 3–6 selected pages, only inside the same ceiling the human agreed (the import's own cap described in words, per the spend gate), then read them with `gooseworks:knowledge_search`. 1. **Site-wide once (free):** fetch robots.txt and classify every rule by retrieval vs training bot; with a shell, test CDN blocking by requesting a page as OAI-SearchBot and PerplexityBot vs a normal agent (no shell → not checked, developer checklist); sitemap; duplicate platform host; Search Console and Bing Webmaster Tools set up (from intake). Indexing comes from Search Console if shared, else from the one paid `site:` probe of the credit flow (step 4). 2. **Per page:** status and redirects, canonical, robots meta and header, content visible without JavaScript, title/H1/meta, the answer-first opening, structured data validity and match with visible text, field speed data where available, internal links in. 3. **Compare with the winner:** for each lost key question, the passage the engine lifted from the winning page vs the brand's page — what the winner states that the brand does not. 4. **Near-winners** (Search Console only): queries at positions ~4–15 or with high impressions and low click rate that map to the agreed questions. 5. Mark everything pass / fail / not checked. Use the host's own fetch or shell; what it cannot see goes to a short developer checklist — never a technical question to the human. Read the theme's existing structured data before proposing any.
**Writes:** the foundation table and per-page notes for the report; candidate fixes (blockers flagged) for fix ranking. **Never:** marks an item passed that it did not see; proposes a structural change (robots, redirects, noindex, URL change) as anything but a proposal with risk and undo.
Put your AI agent on the growth team. Research customers and competitors, analyze what is working, create the next campaign, and learn from the result.
Checks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the…
Step of the analyze-performance playbook: calls ended tests, scores last week's calls, writes this week's kill/scale/hold calls…
Step of the analyze-performance playbook: flags tracking breaks with fixes and explains each big metric move with evidence,…
Step of the analyze-performance playbook: gathers the week's numbers from tools, exports and pastes, cleans them, and writes the…
Step of the analyze-performance playbook: ranks creative by angle, hook and format with spend gates, writes short per-channel…
Step of the analyze-performance playbook: joins cleaned store or CRM numbers with ad spend to build the business-truth table,…