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 — 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 — Create a Rankscale Account (PRO account required — 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 — 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 → Integrations → API Keys
4. Generate a new API key (format:

   rk_<hash>_<brandId>

   )
5. Copy it immediately — it's only shown once

The Brand ID is embedded in your API key suffix and will be extracted automatically.

Step 3 — 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 — only if querying a different brand

Then run:

node rankscale-skill.js --discover-brands

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

--engine-profile

--gap-analysis

--reputation

--engine-movers

--sentiment-alerts

--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 — ROA-40 test run, 2026-02-26):

-------------------------------------------------------
                ENGINE STRENGTH PROFILE
-------------------------------------------------------
  Engine       Visibility            Score
  Average      ──────────────────     69.3
-------------------------------------------------------
  mistral_larg ██████████████████████ 83.2 ✦
  deepseek_cha █████████████████████  79.5 ✦
  chatgpt_gui  ████████████████████   77.5 ✦
  perplexity_s ████████████████████   73.9
  google_ai_ov ███████████████████      73
  google_ai_mo ███████████████████    70.8
  google_gemin ██████████████████     66.2
  openai_gpt-5 ████████████████       60.1 ▼
  anthropic_cl ███████████████        57.7 ▼
  perplexity_g █████████████          50.7 ▼
-------------------------------------------------------
  ✦ Top-3 engines  ▼ 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):
  ▼ grok           score:   15  gap:-29.5
  ▼ gemini         score:   20  gap:-24.5

  LOW-VISIBILITY TERMS (<50%) — 3 found:
  email campaigns        ░                      5%
  sales pipeline         ░░░░                  18%
  marketing automation   ░░░░░░░░              42%

  RECOMMENDATIONS:
  1. Create content targeting top 3 gap terms:
     • "email campaigns"
     • "sales pipeline"
     • "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:  ██████████████████░░░░░░░░░░░░ 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:

🔗 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:
  → wired.com (competitor coverage, not yours)
  → 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 →

references/COMMANDS.md

references/FEATURES.md

references/EXAMPLES.md

references/TROUBLESHOOTING.md

What's Next?

Enhancements planned for future versions:

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

Support

Questions? We are happy to support.

📧

support@rankscale.ai

See also:

references/onboarding.md