AI Brand Index Health Check
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To install, follow the guide at https://skillhub.cn/install/skillhub.md and add the skill @laoxi/brandgeo.
About this skill
The Problem It Solves
Managing a brand's visibility and reputation within AI search and generative models (e.g., DeepSeek, Doubao, Qianwen) is an emerging challenge. Traditional SEO analytics cannot cover how LLMs comprehend and recommend a brand. The AI Brand Index Health Report skill provides a quick, data-driven overview of a brand's "AI health," addressing the initial diagnostic need of understanding "how we perform in the AI world and where to start optimizing."
How the Skill Works
This skill acts as a data retrieval and interpretation tool. Its core capabilities are:
1. Fetching Real Data: It retrieves the AI Brand Index and its underlying six-dimension scores (visibility, sentiment, recommendation weight, etc.) for a specific brand via public APIs provided by aibrandindex.cn.
2. Producing a Structured Summary: It never fabricates data. It normalizes JSON data from the API responses according to rules and generates a readable health report.
The key steps include:
- Brand Search: First, it confirms if a brand is listed via the /api/brands/search endpoint.
- Fetching Summary Data: Upon confirmation, it calls the /api/brands/{id}?mode=summary endpoint to get core data containing only the index and six-dimension scores (timestamp fields and granular data are filtered out at the API layer).
- Data Interpretation: It translates scores into intuitive rating labels and one-sentence interpretations based on built-in rating mapping rules (e.g., ABI ≥ 60 is considered healthy).
- Report Generation: It generates a report following a fixed template, outputting only the index, six-dimension labels, and a summary point. It does not output historical data sequences, detailed attribution lists, or evidence details.
Output modes are divided into Quick Mode (a one-line summary) and Deep Mode (a full report). The entire process ensures data originates from APIs and interpretation follows defined rules.
Applicable Boundaries and Notes
- Free Boundary: This skill only outputs a brand's AI health summary. Deeper competitive analysis and specific GEO action plans are available via paid services on the official website.
- Data Principle: All figures strictly come from the API. If a dimension lacks data, the report shows
--and will not speculate to fill it. Clear prompts or degraded copy are provided for API timeouts or unlisted brands; incomplete reports are never generated. - Output Discipline: The report excludes any data update timestamps (to prevent users from mistaking it for real-time data) and focuses solely on summaries. For unlisted brands, it guides users to submit brand information via the official website.
Use Cases
- A brand marketing team regularly assesses a brand's overall performance and visibility trends within AI models as a rapid diagnostic tool for brand health.
- A professional responsible for GEO (Generative Engine Optimization) needs to quickly retrieve a target brand's performance baseline in LLMs to formulate or validate optimization strategies.
- A consultant developing AI-era brand strategies for clients needs to quickly understand a client brand's current health status overview in the AI ecosystem.
- When preparing brand introduction or competitive analysis materials, a team needs a concise, quantified summary of a brand's health metrics in the AI dimension.
Best For
- A GEO (Generative Engine Optimization) specialist responsible for a brand's performance in AI search, who needs to regularly monitor and quantify changes in the brand's visibility and sentiment within LLMs.
- A marketing manager who needs to reference the AI Brand Index in reports to explain the current state of brand digital assets, but prefers not to delve into complex data.
- A startup founder wanting to understand whether their brand is correctly understood and recommended by mainstream AI models.
- A digital marketing analyst conducting baseline research on a brand's AI search visibility and needing to quickly obtain authoritative data points.
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