Rankscale Geo Analytics
by @mathias-rs
Fetch and interpret Rankscale GEO (Generative Engine Optimization) analytics. Pulls brand visibility score, citation rate, sentiment, and top AI search terms.
clawhub install rs-geo-analyticsπ About This Skill
name: Rankscale GEO Analytics description: Fetch and interpret Rankscale GEO (Generative Engine Optimization) analytics. Pulls brand visibility score, citation rate, sentiment, and top AI search terms. version: 1.0.11 metadata: openclaw: requires: env: - RANKSCALE_API_KEY bins: - node config: - .env primaryEnv: RANKSCALE_API_KEY always: false skillKey: rankscale emoji: π homepage: https://rankscale.ai os: [] install: - kind: node bins: [node]
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:
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.
> β οΈ 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
1. Email support@rankscale.ai with subject: _"Please activate REST API access for my account"_
2. Once activated (usually within 24 hours), log into your Rankscale dashboard
3. Go to Settings β Integrations β API Keys
4. Generate a new API key (format: rk_)
5. 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_. The Brand ID is automatically extracted, so you usually only need to set RANKSCALE_API_KEY.
Features
| Feature | Description | CLI Flag |
|---------|-------------|----------|
| GEO Overview | Full visibility report + search terms breakdown | _(default)_ |
| Engine Strength Profile | Visibility spread across all tracked AI engines | --engine-profile |
| Content Gap Analysis | Topics and queries where your brand has low visibility | --gap-analysis |
| Reputation Score | Sentiment-based 0β100 brand health score | --reputation |
| Engine Gainers & Losers | Top movers vs prior period, per engine | --engine-movers |
| Sentiment Shift Alert | Trend detection + risk flags for sentiment changes | --sentiment-alerts |
| Citation Intelligence | Authority 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?"_
Usage Examples
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 ββββββββββββββββββ 69.3
-------------------------------------------------------
mistral_larg ββββββββββββββββββββββ 83.2 β¦
deepseek_cha βββββββββββββββββββββ 79.5 β¦
chatgpt_gui ββββββββββββββββββββ 77.5 β¦
perplexity_s ββββββββββββββββββββ 73.9
google_ai_ov βββββββββββββββββββ 73
google_ai_mo βββββββββββββββββββ 70.8
google_gemin ββββββββββββββββββ 66.2
openai_gpt-5 ββββββββββββββββ 60.1 βΌ
anthropic_cl βββββββββββββββ 57.7 βΌ
perplexity_g βββββββββββββ 50.7 βΌ
-------------------------------------------------------
β¦ Top-3 engines βΌ 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):
βΌ grok score: 15 gap:-29.5
βΌ gemini score: 20 gap:-24.5 LOW-VISIBILITY TERMS (<50%) β 3 found:
email campaigns β 5%
sales pipeline ββββ 18%
marketing automation ββββββββ 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: ββββββββββββββββββββββββββββββ 61/100
Status: Good Trend: β 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:
π Citation Intelligence
ββββββββββββββββββββββββββββββββββββββ
Top Sources:
1. techcrunch.com 42 citations π’ High authority
2. forbes.com 38 citations π’ High authority
3. g2.com 21 citations π‘ Mid authorityGap 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)
ββββββββββββββββββββββββββββββββββββββ
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 CitationβVisibility 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:
Support
Questions? We are happy to support.
π§ support@rankscale.ai
π rankscale.ai
See also: references/onboarding.md for setup and first-run guidance.