Analyze Japanese brand visibility and citations in AI-generated responses.
npx skills add https://github.com/incognito-54/utsushi --skill utsushi
Please help me install this Agent Skill. Skill: utsushi Source: https://github.com/incognito-54/utsushi/tree/main Command: npx skills add https://github.com/incognito-54/utsushi --skill utsushi
This Skill helps Japanese businesses understand and improve their visibility in AI-generated responses, ensuring their brand is recognized and cited appropriately.
Run the utsushi skill with the following command:
utsushi run --brand "YourBrand" --domain yourbrand.com --topic "YourService" --competitor "Competitor1|competitor1.com" --competitor "Competitor2|competitor2.com"
This command will generate a report showing your brand's visibility, competitor comparisons, and improvement recommendations.
High-intent search queries and answers about installing and using this skill.
To track Japanese brand visibility in AI-generated responses, run the tool with your brand name, domain, and topic to observe mentions across services like ChatGPT, Perplexity, and Claude. It generates a detailed report analyzing your citations and competitor comparisons.
Analyzing brand citations in AI search results involves querying targeted Japanese AI services and processing the text output with Python libraries. The tool evaluates whether your domain is cited as a source and generates actionable recommendations to improve citation frequency.
Yes, this brand optimization tool requires API keys for AI services to function. You must configure these credentials as environment variables alongside your brand parameters before executing the observation and refinement analysis.
You can compare your brand's AI visibility against competitors by passing competitor names and domains as command arguments. The tool processes these inputs to deliver a comparative report highlighting your relative citation presence in Japanese AI services.
To get improvement recommendations for your brand's AI search visibility, execute the analysis command with your brand and topic details. The tool utilizes proprietary heuristics to output actionable suggestions that enhance how AI models recognize and cite your brand.
Python libraries like beautifulsoup4 and lxml are needed for AI brand citation tracking to parse and extract structured data from AI-generated text responses. They process the raw output to determine if your brand is accurately recognized and cited as a source.
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