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Marketing · Step

Site check

Audits indexing, crawling and page issues.

What it does

One step of the Improve search visibility playbook. Goose runs it when you ask for the playbook.

The skill file

What your AI app reads when it runs this skill.

page-and-foundation-check

Reads: ../improve-search-visibility/references/foundation-check.md, ../improve-search-visibility/references/gap-to-fix.md; the requested audit scope (../improve-search-visibility/references/seo-jobs.md) or gap rows and nearest pages for a visibility check; sitemap/crawl inventory and Search Console export when available.

Does (free checks first): 0. Find the pages. gooseworks:knowledge_import in its website discover mode lists up to 25 same-site pages for free; use these as starting leads, then inventory the requested scope from sitemaps/feeds/indexes or crawl exports; 25 is not the site's page limit. Import mode only when the host cannot fetch pages at all: the needed 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 (when relevant to the job): 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: from available Search Console or clearly labelled managed SEO/query evidence, queries around positions 4–15; high impressions/low click rate only from own performance data. For an audit, include relevant queries beyond a prior AI question set.
  5. For technical audits, include the foundation reference's applicable migration, facet, rendering and competing-page checks. State sample coverage; implement nothing live. 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.