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Measure how AI assistants cite your brand and get actionable fixes.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Lotus — AI Citation Intelligence" MCP server from askskill: Run: claude mcp add --transport http 'app-clicon-lotus' 'https://lotus.clicon.app/mcp/'
Marketing teams or brand owners can use it to see how AI assistants cite their brand and assess performance with measurable results. It also provides ready-to-apply fixes to improve how the brand is represented.
When teams notice inaccurate, missing, or inconsistent brand mentions in AI outputs, this tool helps identify the issue. It returns measured data and fixes so teams can quickly plan improvements.
Research or product teams can compare how their brand and competitors are cited by AI assistants to identify differences and weak spots. Based on the results, they can prioritize the issues that most affect brand representation.
It measures how AI assistants cite your brand and returns measured data along with ready-to-apply fixes. It is useful for teams that care about brand performance in AI-generated answers.
Based on the description, it returns two kinds of results: measurable data and actionable fixes. For the exact output format, see the source repository.
The provided material does not specify installation steps, runtime requirements, or API key prerequisites. Please see the source repository for exact setup details.
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