# RS-Skill — Real Usage Examples > Real-world scenarios with commands, outputs, and what to do next. > All outputs from live testing (ROA-40, 2026-02-26) or validated mock data. --- ## Example 1: Monday Morning Brand Health Check **Scenario:** You want a quick snapshot of your brand's AI visibility before the week starts. **Command:** ``` node rankscale-skill.js ``` **Output (healthy brand):** ``` ======================================================= RANKSCALE GEO REPORT Brand: AcmeCorp | 2026-02-26 ======================================================= 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/acmecorp ======================================================= ``` **What this tells you:** - Score 72/100, up +5 from last week → on a positive trajectory - Citation rate (55.5%) is above industry average (45%) → good citation health - Top term "best crm software" driving 500 mentions → your strongest query **Next steps:** - Visit the full dashboard for deep-dive - Schedule `--engine-profile` to see which engines need attention --- ## Example 2: Identifying Your Weakest AI Engines **Scenario:** You're planning a content sprint. You want to know which AI engines to optimize for. **Command:** ``` node rankscale-skill.js --engine-profile ``` **Output (live API — ROA-40, 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 ``` **What this tells you:** - Strong on Mistral (83.2), DeepSeek (79.5), ChatGPT (77.5) - Weak on Perplexity Pro (50.7), Claude (57.7), GPT-5 preview (60.1) - Average is 69.3 — Claude is 11.6 pts below average **Next steps:** - Create content that cites sources Claude tends to index (research papers, official docs) - Build Perplexity-indexed citations (news sites, Stack Overflow, Wikipedia) - Investigate why GPT-5 preview scores lower than ChatGPT standard --- ## Example 3: Content Calendar Planning with Gap Analysis **Scenario:** You're building next quarter's content plan. You want to know what topics to target. **Command:** ``` node rankscale-skill.js --gap-analysis ``` **Output (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 ------------------------------------------------------- ``` **What this tells you:** - "Email campaigns" at 5% → a near-complete blind spot, highest priority content topic - "Sales pipeline" at 18% → strong opportunity, likely covered by competitors - Grok score (15) is 29.5 pts below average → engine-specific strategy needed **Next steps:** - Assign a writer to produce 3 pieces on "email campaigns", "sales pipeline", "marketing automation" - Research what Grok indexes — typically Twitter/X-native content, real-time data - Re-run gap analysis in 2 weeks to measure impact --- ## Example 4: Reputation Check Before a Product Launch **Scenario:** Your team is shipping a major update next week. You want to check current brand sentiment before the launch. **Command:** ``` node rankscale-skill.js --reputation ``` **Output (brand with mixed sentiment):** ``` ------------------------------------------------------- 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. ------------------------------------------------------- ``` **What this tells you:** - Score 61/100, trending upward → launch timing is good - Negative signals "expensive" and "slow" → address in launch messaging - "Great support" is a positive signal → lean into it in launch copy **Next steps:** - Adjust launch messaging to pre-empt "expensive" concerns (pricing transparency, ROI data) - Prepare support team for volume spike (the "slow" signal may be support wait times) - Re-run `--sentiment-alerts` post-launch to catch any narrative shift quickly --- ## Example 5: PR Campaign Targeting with Citation Intelligence **Scenario:** You're planning a link-building and PR campaign. You want to know which publications to target and where competitors have an edge. **Command:** ``` node rankscale-skill.js --citations full ``` **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) Citation↔Visibility Correlation: +1 TechCrunch citation ≈ +0.8 Perplexity visibility +1 Forbes citation ≈ +0.5 ChatGPT visibility ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ``` **What this tells you:** - Competitors lead on Perplexity via 31 more citations → Perplexity is a key battleground - Wired.com covers competitors but not you → direct outreach target - VentureBeat has strong Gemini indexing → one article there = Gemini visibility boost **Next steps:** - Pitch Wired.com with a story angle competitors haven't covered - Brief VentureBeat on your product launch (Gemini lift) - Use TechCrunch/Forbes as anchor citations in new content (they correlate directly to visibility) --- ## Combining Commands: Weekly GEO Workflow A recommended weekly workflow using RS-Skill: ```bash # 1. Monday: Full overview node rankscale-skill.js # 2. Check engine-level shifts node rankscale-skill.js --engine-movers # 3. Sentiment pulse node rankscale-skill.js --sentiment-alerts # 4. Monthly: Content planning node rankscale-skill.js --gap-analysis # 5. Monthly: PR planning node rankscale-skill.js --citations full ``` --- ## Questions? We are happy to support. 📧 `support@rankscale.ai` 🌐 [rankscale.ai](https://rankscale.ai) Back to [SKILL.md](../SKILL.md) | Feature reference: [FEATURES.md](FEATURES.md) | Troubleshooting: [TROUBLESHOOTING.md](TROUBLESHOOTING.md)