Analyze brand mention frequency, sentiment, and citations across AI search engines.
npx skills add https://github.com/seohow/seo --skill audit-llm-visibility
Please help me install this Agent Skill. Skill: audit-llm-visibility Source: https://github.com/seohow/seo/tree/main/skills/ai/audit-llm-visibility Command: npx skills add https://github.com/seohow/seo --skill audit-llm-visibility
This Skill assesses how well a brand's visibility and reputation are represented in AI-generated search engine responses, helping teams understand their AI search presence.
Cover the research process by collecting relevant queries, run the audit using your AI search tools, and analyze the generated report for actionable insights.
High-intent search queries and answers about installing and using this skill.
Brand visibility in AI search is measured by analyzing mention frequency, sentiment, and citation sources across multiple AI search engines. This Skill audits those metrics and compares results over time to reveal whether your brand presence is improving or declining.
AI search visibility auditing evaluates how your brand is represented in AI-generated search answers by tracking mentions, sentiment, and citations. You need it for brand reputation monitoring, AI search performance analysis, and strategic content planning.
Longitudinal tracking compares current AI search audit results with previous ones to identify trends and shifts. By running this analysis periodically, such as quarterly, you can evaluate how AI responses evolve and whether visibility is improving.
No specific dependencies are required to use this Skill. You collect relevant search queries, run the audit using your own AI search tools to gather responses, and analyze the generated report for actionable visibility insights.
The best way to monitor brand reputation in AI search results is to audit mention frequency, sentiment, and citation sources across multiple engines. Comparing this data longitudinally ensures comprehensive insights into your strategic content performance.
Auditing brand presence in AI search answers requires manually collecting relevant queries and using your own AI search tools to gather the raw response data. The analysis is limited to the search engines and query sets you choose to evaluate.
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