rs-geo-analyticsFetch and interpret Rankscale GEO (Generative Engine Optimization) analytics. Pulls brand visibility score, citation rate, sentiment, and top AI search terms.
Install via ClawdBot CLI:
clawdbot install Mathias-RS/rs-geo-analyticsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
report → https://rankscale.ai/dashboard/brands/[your-brand]Calls external URL not in known-safe list
https://rankscale.aiAI Analysis
The skill communicates exclusively with the documented Rankscale API for its stated analytics purpose. The 'unknown data sink' signal appears to be a false positive, as the endpoint is part of the legitimate service's dashboard, not a covert exfiltration channel. No credential harvesting, hidden instructions, or obfuscation is present.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
A digital marketing agency uses this skill to monitor multiple client brands' visibility across AI search engines. They track weekly GEO scores to demonstrate ROI to clients and identify which AI platforms need optimization focus. The content gap analysis helps them develop targeted content strategies for each client.
A SaaS company monitors their brand reputation and citation rates compared to industry averages. They use engine strength profiles to identify which AI platforms they're underperforming on, and citation intelligence to find PR opportunities where competitors have better authority rankings.
An e-commerce retailer uses the skill to track top AI search terms related to their products. They analyze sentiment shifts to catch negative trends early and use content gap analysis to identify product categories or features they should create more educational content about.
A large corporation monitors their 0-100 reputation score across all AI engines. They set up regular sentiment shift alerts to detect PR risks before they escalate and use engine movers data to understand where their brand perception is improving or declining across different platforms.
A media company uses GEO analytics to understand which AI engines drive the most visibility for their content. They analyze citation rates to optimize their content formats and use engine-specific data to tailor their distribution strategy for platforms like ChatGPT, Perplexity, and Gemini.
Marketing agencies offer AI search optimization as a premium service, using Rankscale data to provide clients with monthly performance reports and strategic recommendations. Agencies charge monthly retainers based on the number of brands tracked and depth of analysis provided.
Companies integrate this skill into their internal analytics dashboards to monitor brand health across AI platforms. The data informs content strategy, PR campaigns, and product positioning decisions, helping teams optimize for generative search visibility.
Specialized consultants help companies set up and interpret Rankscale GEO analytics, providing strategic recommendations based on the data. Consultants offer one-time setup packages plus ongoing advisory services for interpreting results and optimizing strategies.
💬 Integration Tip
Ensure you have a Rankscale PRO account before attempting integration, as trial accounts lack API access. The API key format includes your Brand ID automatically, so you typically only need to set RANKSCALE_API_KEY in your environment.
Scored Jun 19, 2026
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