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Rankscale Geo Analytics

Fetch and interpret Rankscale GEO (Generative Engine Optimization) analytics. Pulls brand visibility score, citation rate, sentiment, and top AI search terms.

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High Signal

Fetch and interpret Rankscale GEO (Generative Engine Optimization) analytics. Pulls brand visibility score, citation rate, sentiment, and top AI search terms.

⬇ 0 downloads β˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
API_ENDPOINT_CLARIFICATION.md, assets/onboarding.md, docs/API_ENDPOINT_CLARIFICATION.md, docs/ARCHITECTURE.md, rankscale-skill.js, README.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.11

Documentation

ClawHub primary doc Primary doc: SKILL.md 13 sections Open source page

Rankscale GEO Analytics

The best generative engine optimization and AI rank tracking for ChatGPT, Perplexity, Gemini, Claude, DeepSeek, Mistral, and more.

Overview

RS-Skill connects OpenClaw to the Rankscale API, bringing your brand's AI search performance directly into your assistant. Get visibility scores, reputation analysis, content gap reports, citation intelligence, and more β€” all in one place. Ask your assistant questions like: "How is my brand performing across AI engines?" "Where are my content gaps this week?" "Find PR opportunities for my brand." "What's our reputation score and what's dragging it down?" "Which AI engines am I losing ground on?"

Quick Start (3 Steps)

Step 1 β€” Create a Rankscale Account (PRO account required β€” trial not sufficient) Sign up at rankscale.ai and set up your brand profile. ⚠️ Requirements: A Rankscale PRO account (or higher) is required. Trial accounts do not have REST API access. You must be on PRO before requesting API activation. Step 2 β€” Request REST API Access & Get Your API Key Email support@rankscale.ai with subject: "Please activate REST API access for my account" Once activated (usually within 24 hours), log into your Rankscale dashboard Go to Settings β†’ Integrations β†’ API Keys Generate a new API key (format: rk_<hash>_<brandId>) Copy it immediately β€” it's only shown once The Brand ID is embedded in your API key suffix and will be extracted automatically. Step 3 β€” Set Environment Variables Add to your OpenClaw Gateway config: RANKSCALE_API_KEY=rk_... The Brand ID is optional (auto-extracted from your API key): RANKSCALE_BRAND_ID=... # Optional β€” only if querying a different brand Then run: node rankscale-skill.js --discover-brands to verify your setup. Tip: Your API key format is rk_<hash>_<brandId>. The Brand ID is automatically extracted, so you usually only need to set RANKSCALE_API_KEY.

Features

FeatureDescriptionCLI FlagGEO OverviewFull visibility report + search terms breakdown(default)Engine Strength ProfileVisibility spread across all tracked AI engines--engine-profileContent Gap AnalysisTopics and queries where your brand has low visibility--gap-analysisReputation ScoreSentiment-based 0–100 brand health score--reputationEngine Gainers & LosersTop movers vs prior period, per engine--engine-moversSentiment Shift AlertTrend detection + risk flags for sentiment changes--sentiment-alertsCitation IntelligenceAuthority ranking, gap analysis, engine preferences, PR targets--citations

Real Example Prompts

These prompts work out-of-the-box with RS-Skill connected to OpenClaw: 1. Daily brand health check "Give me my Rankscale GEO overview for this week." 2. Engine-specific strategy "Which AI engines am I weakest on? Show me my engine strength profile." 3. Content planning "What topics should I be writing about? Run a content gap analysis." 4. PR campaign prep "Find citation gaps vs my competitors and suggest PR targets." node rankscale-skill.js --citations full 5. Reputation monitoring "Is our brand reputation improving or declining? Any risk areas?"

GEO Overview (default)

node rankscale-skill.js Sample output (healthy brand): ======================================================= RANKSCALE GEO REPORT Brand: AcmeCorp | 2026-02-19 ======================================================= GEO SCORE: 72 / 100 [+5 vs last week] CITATION RATE: 55.5% [Industry avg: 45%] SENTIMENT: Pos 61% | Neu 29% | Neg 10% ------------------------------------------------------- TOP AI SEARCH TERMS 1. "best crm software" (500 mentions) 2. "crm comparison" (300 mentions) 3. "crm pricing" (200 mentions) ------------------------------------------------------- GEO INSIGHTS [1 action] [INFO] Strong positive momentum detected. Action: Maintain current content cadence. Double down on formats producing citations. Consider expanding to adjacent topics. ------------------------------------------------------- Full report: https://rankscale.ai/dashboard/brands/[your-brand] =======================================================

Engine Strength Profile

node rankscale-skill.js --engine-profile Sample output (live API β€” ROA-40 test run, 2026-02-26): ------------------------------------------------------- ENGINE STRENGTH PROFILE ------------------------------------------------------- Engine Visibility Score Average ────────────────── 69.3 ------------------------------------------------------- mistral_larg β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 83.2 ✦ deepseek_cha β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 79.5 ✦ chatgpt_gui β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 77.5 ✦ perplexity_s β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 73.9 google_ai_ov β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 73 google_ai_mo β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 70.8 google_gemin β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 66.2 openai_gpt-5 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 60.1 β–Ό anthropic_cl β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 57.7 β–Ό perplexity_g β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 50.7 β–Ό ------------------------------------------------------- ✦ Top-3 engines β–Ό Bottom-3 engines

Content Gap Analysis

node rankscale-skill.js --gap-analysis Sample output (from live test data): ------------------------------------------------------- CONTENT GAP ANALYSIS ------------------------------------------------------- ENGINE GAPS (vs avg 44.5): β–Ό grok score: 15 gap:-29.5 β–Ό gemini score: 20 gap:-24.5 LOW-VISIBILITY TERMS (<50%) β€” 3 found: email campaigns β–‘ 5% sales pipeline β–‘β–‘β–‘β–‘ 18% marketing automation β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘ 42% RECOMMENDATIONS: 1. Create content targeting top 3 gap terms: β€’ "email campaigns" β€’ "sales pipeline" β€’ "marketing automation" 2. Optimise for grok: score 15 vs avg 44.5 -------------------------------------------------------

Reputation Score

node rankscale-skill.js --reputation Sample output (live test data, brand with sentiment keywords): ------------------------------------------------------- REPUTATION SCORE & SUMMARY ------------------------------------------------------- Score: β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘ 61/100 Status: Good Trend: ↑ improving Sentiment breakdown: Positive: 56.2% Negative: 15.7% Neutral: 28.1% Top positive signals: easy to use, great support, powerful Risk areas: expensive, slow Summary: Brand health is good (61/100) and improving. Monitor: expensive, slow. -------------------------------------------------------

Citation Intelligence

node rankscale-skill.js --citations node rankscale-skill.js --citations full node rankscale-skill.js --citations gaps Sample output: πŸ”— Citation Intelligence ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Top Sources: 1. techcrunch.com 42 citations 🟒 High authority 2. forbes.com 38 citations 🟒 High authority 3. g2.com 21 citations 🟑 Mid authority Gap vs Competitors: Competitor A leads +31 citations on Perplexity Competitor B leads +18 citations on Gemini PR Targets: β†’ wired.com (competitor coverage, not yours) β†’ venturebeat.com (high Gemini indexing) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

All Commands

node rankscale-skill.js [flag] --help Show help --discover-brands List your tracked brands --engine-profile Engine strength analysis --gap-analysis Content gap finder --reputation Brand reputation score --engine-movers Top gainers and losers by engine --sentiment-alerts Sentiment trends + risk detection --citations Citation intelligence overview --citations authority Top citation sources ranked --citations gaps Gaps vs competitors --citations engines Per-engine citation breakdown --citations correlation Citation↔Visibility correlation --citations full All citation sections + PR targets For a full command reference, see β†’ references/COMMANDS.md For detailed feature guides, see β†’ references/FEATURES.md For real usage scenarios, see β†’ references/EXAMPLES.md For troubleshooting help, see β†’ references/TROUBLESHOOTING.md

What's Next?

Enhancements planned for future versions: Competitor comparison view β€” Side-by-side delta scores vs tracked competitors Detection rate metric β€” "Content Gap Investigation" rule for low-detection brands Engine-specific optimization rules β€” Tailored advice when engine disparity > 30 pts Scheduled reports β€” Auto-run weekly summary via OpenClaw cron Multi-brand switching β€” Quick brand toggle without changing env vars Export to PDF/CSV β€” Shareable reports for team or client delivery

Support

Questions? We are happy to support. πŸ“§ support@rankscale.ai 🌐 rankscale.ai See also: references/onboarding.md for setup and first-run guidance.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
5 Docs1 Scripts
  • API_ENDPOINT_CLARIFICATION.md Docs
  • assets/onboarding.md Docs
  • docs/API_ENDPOINT_CLARIFICATION.md Docs
  • docs/ARCHITECTURE.md Docs
  • README.md Docs
  • rankscale-skill.js Scripts