This playbook step audits site indexing, crawling, technical foundations, and page-level search issues at a requested scope. It can also compare pages against search results for lost visibility questions, then records findings and candidate fixes without changing the live site.
Step of the improve-search-visibility playbook: audits site indexing, crawling, technical and page issues at the requested scope, or checks pages behind lost visibility questions. Run improve-search-visibility instead; not for direct use.
Run score Not tested
See how to installReview the instructions the agent will receive before you install.
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.
site: probe of the credit flow (step 4).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.
No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
The supplied material contains only placeholder text for the skill’s purpose, inputs, steps, and completion criteria. It does not provide enough information to describe a task or result reliably.
Research supported advertising angles using buyer context, current product facts, customer language, and observed ads. Turn the evidence into static ad, video, or copy ideas, matching video concepts to available recipes. Scores rank ideas for testing; they do not predict results.
Analyze campaign data from Google, Meta, and LinkedIn to find strong and wasteful spend. The skill checks funnel performance and test results, then recommends which campaigns to pause, scale, or test and how to shift budget across channels.
Compare ad spend and signups with downstream outcomes to calculate the cost of each qualified lead. The skill checks tracking coverage, accounts for how long leads need to mature, and groups creatives into actionable categories with confidence notes.
Prepare the intake for a Meta ad campaign by reviewing available brand information first, stating reasonable assumptions, and asking only questions whose answers could affect budget, claims, or legal exposure. It records stable brand facts, a campaign brief, and what was asked versus assumed.
Review ad copy, image text, visuals, and people against platform and brand category rules. It suggests honest fixes and needed disclosures, then flags issues requiring human or legal review, with a separate result for each ad and platform.