Audits brand profiles, local listings, and review summaries against confirmed business facts. It identifies missing or inconsistent details and prepares exact corrections and editing instructions as part of a larger search visibility workflow.
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.
Run score Not tested
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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:
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.
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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.