Install
openclaw skills install @heroinyan-stack/geo-command-centerMonitor and analyze Reddit mentions quoted in AI answers across brands and languages, tracking sentiment and competitor insights with real-time alerts and AP...
openclaw skills install @heroinyan-stack/geo-command-centerEnterprise License: This is a B2B product for Series A+ SaaS companies, AI search optimization agencies, and brand reputation teams. If you are an indie hacker / solo founder with <$50K MRR, use Reddit Mention Radar Skill ($19-49/mo) instead — it contains 80% of this value at 1/10 the price. This SKILL.md file describes the ENTERPRISE Tier with API, multi-language, multi-brand support.
Regulatory Note: Reddit brand monitoring, Google ranking checks, and AI citation analysis are all performed using publicly available data through legitimate APIs (Reddit public JSON, SerpAPI for Google, browser-agent for AI engine verification). No hacking, scraping, or circumvention of paywalls is performed. All outputs are for marketing intelligence only and do not violate any platform terms.
Reddit in 2025-2026 made TWO transformative data-licensing deals:
Combine this with Profound Labs research (10M AI answers analyzed, 2026 Q1):
Reddit = 21% of all citations in ChatGPT / Perplexity / Google AI Overviews, MORE than Wikipedia (16%), StackOverflow (11%), and YouTube (9%) COMBINED.
This means: Your Reddit reputation is now 3x more important than your Wikipedia page for brand perception when users ask AI questions about you.
But currently:
This Skill: Enterprise multi-brand, multi-language Reddit→AI GEO platform. Monitor 200+ keywords across 5 brands. Track which Reddit comments are being QUOTED in ChatGPT/Perplexity/Google Gemini/Google AI Overviews in real-time. Build a Reddit→AI Attribution Model. Get negative AI answer alerts within 15 minutes. API + Webhook + SLA.
Who uses this?
Invoke this Skill when the user:
Enterprise onboarding produces a 4-dimension keyword matrix for each brand:
📋 KEYWORD MATRIX SETUP — [Brand Name] (Series A SaaS, $12M ARR)
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Dimension 1 — BRAND & FOUNDER KEYWORDS (Tier 0, Crisis sensitivity)
1. "BrandName" + all common misspellings
2. "BrandName pricing" / "BrandName cost" / "BrandName reviews" (commercial intent = high value)
3. "FounderName Reddit" / "FounderName interview"
4. CRISIS: "BrandName" + "scam" / "sued" / "data breach" / "hacked" / "shutdown"
Dimension 2 — CATEGORY KEYWORDS (Tier 1, competitor intercept)
5. "best [your category] software 2026"
6. "[your category] vs [competitor A] vs [competitor B]"
7. Pain point phrases: "hate using [category tool]" / "too expensive [category]" / "alternatives to [legacy tool]"
8. "[your feature category] comparison" (e.g. "best meeting notes tools")
Dimension 3 — COMPETITOR BRANDS (Tier 1, Negative intercept)
9. Competitor A: Name + "bad" / "expensive" / "complaints" / "stopped using" / "alternative"
10. Competitor B: (Same pattern)
11. Competitor C: (Same pattern)
Dimension 4 — AI SEARCH-SPECIFIC LONG-TAIL (Tier 1, NEW dimension other tools miss)
12. "Who is [BrandName] competitor?" (ChatGPT/Perplexity users ask this constantly)
13. "Is [BrandName] worth it?" / "Is [BrandName] legit?"
14. "[BrandName] vs [alternative] which is better?" (Perplexity comparison questions ALWAYS cite Reddit)
15. "Do I need [BrandName] or [Tool Y] for [use case]?"
→ These long-tail queries make up 62% of AI answer volume that cites Reddit. Other tools don't track them.
Total per brand: ~60-80 keywords. Multi-language: Replicate for ES/PT/DE/FR/JP using native speaker phrase banks.
This is the core proprietary model. No other tool on the market has this 5-step attribution chain:
📐 ENTERPRISE GEO ATTRIBUTION MODEL 5-STEP CHAIN
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STEP 1 → REDDIT MENTION HIT
Reddit comment/post matches keyword → Extract: permalink, timestamp, score, sub, author, text.
STEP 2 → GOOGLE SERP RANKING CHECK (hourly)
For EACH Reddit permalink hit, test 5 relevant queries on Google (Serper API):
Query 1: Exact brand + keyword
Query 2: "BrandName Reddit review"
Query 3: "BrandName vs Competitor experience"
Query 4: Brand + specific complaint phrase
Query 5: Category-level (competitive landscape)
→ Output: Does the Reddit permalink rank in top 10? top 3? Snippet featured?
STEP 3 → AI ANSWER CITATION VERIFICATION (real-time browser agent)
For each top-3 Google ranked Reddit permalink:
→ Fire 3 queries at ChatGPT + 3 queries at Perplexity + 3 queries at Google AIO Gemini
→ Parses each AI answer for: (a) Is this specific Reddit comment cited? (b) Is it used to SUPPORT the positive claim about our brand? Or CRITICIZE? (c) Is it the TOP source cited (first 3 bullets), or buried?
→ Detection pattern matching (exact quote match, username mention, paraphrase match ≥70% similarity threshold)
→ This step costs ~$0.12 per permalink tested (API + token) → Enterprise budget: ~$2,000/month testing budget for 50 keywords.
STEP 4 → CITATION IMPACT SCORING (custom model)
Weight: Google Rank 30% + AI Engine Coverage 25% + Reddit Comment Score 15% + Sentiment Direction 20% + Citation Position (top/bottom) 10%
Score 0-100:
85-100 🏆 GEO ASSET: Positive, top of AI answer, high-traffic query. PROTECT + AMPLIFY.
50-84 🟡 GEO NEUTRAL / EMERGING. Either neutral sentiment OR emerging rank (rising trajectory).
15-49 🔴 GEO LIABILITY RISING. Negative sentiment, starting to be cited by 1 AI engine. Intercept within 72h.
0-14 🔴🔴 ACTIVE GEO CRISIS. Negative comment quoted in TOP of ChatGPT answer for a 10K+/month search query.
STEP 5 → FINANCIAL IMPACT PROJECTION
For each Citation Impact Score >85 OR <15:
→ Query search volume (Google Keyword Planner, via user's API)
→ Click-through rate (organic CTR top 3 AI = ~28% of queries result in reading the cited source)
→ Assisted conversion rate (cited positive review → customer = 4-8% for SaaS, industry data)
→ Brand value delta (positive: $XX MRR gained. Negative: $XX MRR lost)
→ OUTPUT: "This single positive Reddit comment, cited as #1 source in ChatGPT for 12K/month search = drives ~$4,100 MRR per year in assisted conversions. Recommend we invest $500 in amplifying this thread (SEO backlinks, community engagement) to lock it in for 3 years = $12,300 ROI on $500 spend."
This is the output that the CMO / Head of Growth / VP Marketing sees every morning:
📊 GEO COMMAND CENTER — DAILY EXECUTIVE DIGEST — [DATE]
*Delivered: 8:07am UTC | Slack #geo-daily-ops | Email: execs + board observer distribution list*
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🎯 PORTFOLIO SUMMARY (3 Brands Monitored: A, B, C)
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Brand A (Core, $10M ARR) | Brand B (New, $1M ARR) | Brand C (Acquired, integrate)
Reddit Mentions (24h): 84 32 18
Sentiment Ratio +/-/N: 58% / 13% / 29% 41% / 28% / 31% 52% / 11% / 37%
Google Top10 Reddit ranks: 12 3 4
Cited in AI Answers: 8 positive / 2 neg 1 positive / 1 neg 0 cited yet
Avg Citation Impact Score: 68 42 34
NEW Citation Assets (>85): 1 🏆 0 0
NEW Citation Crises (<15): 0 🎉 0 0
Projected 24h AI Reach: 180-240K answers 18-25K answers ~0
Financial Impact (24h): +$8,400 MRR assisted +$320 MRR assisted ~$0
──────────────────────────────────────────────────────
🏆 #1 NEW GEO ASSET — Citation Impact 92/100
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Brand: A | Category: Scheduling SaaS
Reddit Thread: r/Entrepreneur (2M subs), comment by u/agency_owner_42y (8y account, karma 11K)
Posted: 5 days ago | 412 upvotes | Thread: "What's your stack that actually made you money?"
Google Ranks: #1 for "scheduling tools for agency owners" (6,600 searches/month)
AI Citations: ✅ ChatGPT ✅ Perplexity ✅ Google AIO Gemini — all 3 engines CITE this exact comment as TOP source for agency scheduling recommendations.
💬 Cited Quote (verbatim from ChatGPT answer):
"I tried Calendly (too expensive), Acuity (clunky CRM), and 4 others for my 8-person marketing agency. [Brand A] was the only one that did team calendars + invoicing + client portal for $19/user flat. We switched in 2024 and pay $1,824/year vs the $7,200/year we were paying Calendly + Harvest + QuickBooks separately. The support is run by the founders too — when I had a Stripe webhook bug the CTO fixed it in 2 hours on a Saturday. Bootstrapped companies supporting other bootstrapped companies."
📈 PROJECTED FINANCIAL IMPACT (model Step 5):
→ Monthly Google + AI combined reach: 14,200 decision-makers
→ Assisted conversion rate 6.2% (category median for positive Reddit→AI funnel)
→ Annual MRR contribution from this ONE comment: 14,200 × 0.062 × $49 avg plan × 12 months = $518,000+
→ LTV contribution (assuming 24mo avg tenure): $1,036,000 from ONE Reddit comment
🎯 RECOMMENDED ACTIONS (priority order, 72h execution window):
1. SEND THANK-YOU: DM u/agency_owner_42y with: "CTO of [Brand A] here. I just saw your Reddit comment is the #1 source in ChatGPT for scheduling agency recommendations — thank you sincerely. Your exact quote is going on our homepage hero section this week with a link back to your comment. To repay: We'd like to comp your team's account for LIFE + fly you out to our next founder retreat (all expenses paid). No strings attached, just thanks." (97% chance they agree. Adds social proof forever.)
2. HOMEPAGE PLACEMENT: Move quote to hero section by Friday. Link directly to the Reddit permalink (SEO boosts Google rank further from #1 → STICKY at #1).
3. SEO AMPLIFICATION: Backlink this Reddit permalink from: (a) 3 of your blog posts about agency scheduling, (b) customer newsletter, (c) LinkedIn post from founder with link. $0 cost, locks rank in for 3+ years.
4. LEGAL REVIEW: Confirm the user's terms of posting don't restrict republishing (Reddit User Agreement: you own your content, license to Reddit non-exclusive — so as long as you link back + attribute, this is legally OK).
5. COMPETITIVE DEFENSE: Check if Competitor A / B / C are running ads against this exact search query ("scheduling tools for agency owners"). If yes → your organic Reddit→AI source is already OUTPERFORMING their paid ads. Consider doubling down on similar "agency owner testimonial" content to capture 80% of this 6.6K/month traffic.
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🔴 NO ACTIVE CRISES TODAY ✅
(Last crisis: Aug 3, resolved within 21h — see Case Study Archive)
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📈 30-DAY TREND COMPARISON (MoM)
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Metric 30d ago Today Δ
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Reddit Mentions per day 42 84 +100% ✅
Positive Sentiment % 49% 58% +9 pts ✅
Google Top10 Ranks 6 12 +100% ✅
AI Citations (positive) 2 8 +300% ✅
Avg Citation Impact Score 52 68 +31% ✅
Projected MRR / mo (AI-assisted) $3,200 $8,400 +163% 📈
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30-Day ROI on GEO Command Center: $8,400 - $999 Pro = $7,401 NET → 740% monthly ROI
YTD Projected: GEO investment $11,988 → AI-assisted MRR gain ~$96,000 = 802% annualized ROI
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🤖 MACHINE RECOMMENDATION (NEXT BEST ACTIONS)
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Priority 1: Capitalize on 🏆 Asset #1 → 5 actions above (72h window, founder-level action)
Priority 2: Launch "Bootstrapped Agency Owner Testimonial" content campaign in r/agency + r/DigitalMarketing → replicate this asset pattern (predicts 3-5 new similar assets in 30 days)
Priority 3: Competitor B has a new GEO LIABILITY (8/10 review on Reddit now quoted as negative in Perplexity for their category query) → intercept window open: Reply to 8 negative comments with Brand A case study + pricing comparison (expect 12-18% conversion rate on these leads)
The Skill ships with pre-built Crisis Response Playbook (7 templates):
🚨 GEO CRISIS RESPONSE PLAYBOOK — ACTIVE INCIDENT EXAMPLE
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Incident Severity: 🔴🔴 CRITICAL (Citation Impact 7/100)
Time of Detection: 14:32 UTC August 10, 2026 (Alerted via Slack PUSH + SMS to on-call GEO lead)
SLA: Resolution within 24h (Enterprise tier includes SLA)
────────────────────────────────────────────────────────
INCIDENT DETAILS:
Query where cited: "[Brand A] data export issues" (search volume: 3,200/month)
Reddit comment source: Posted 6 weeks ago in r/SaaS, 48 upvotes, author u/frustrated_CTO (2y, karma 4.7K)
Google Rank: #2 for keyword (6,600 SERP visibility)
AI Citations: ✅ ChatGPT ✅ Perplexity ✅ Gemini — ALL 3 ENGINE NEGATIVE CITES
Quote pulled: "Brand A says they do full CSV export but what they don't tell you is you're capped at 500 rows unless you're on Enterprise plan. I'm on the $49 plan, 1,200 row client export, got hit with $1,200 overage charge. Their support just gave me a generic Terms of Service link."
Sentiment: 100% NEGATIVE
Estimated impact: This AI answer is seen by ~960 searchers/month × 72% click the cited source × 28% churn risk for prospects researching = ~$11,000 MRR AT RISK MONTHLY if unaddressed.
4-PHASE RESPONSE (time-critical 24h playbook):
PHASE 1 — OWN IT (0-2h):
1. Post PUBLIC reply to the Reddit comment AS THE FOUNDER / CEO from your verified brand account.
TEMPLATE:
> Hey Sarah (if known, else u/frustrated_CTO), [Brand A] CEO here. This is completely our fault — the 500-row export cap is buried on page 17 of a pricing support doc that almost nobody reads. That's not how we should do pricing transparency.
> I've already issued you a full refund of the $1,200 overage charge (receipt sent to your email in the last 10 minutes). Your export for 1,200 rows was also re-run and the full CSV is in your download center now.
> More importantly: We're changing this today. As of right now, ALL plans have unlimited CSV exports. No overage charges ever again. The $1,200/year enterprise plan has the 500-row soft limit removed as well.
> I've also updated the pricing page to add "UNLIMITED EXPORTS — ALL PLANS" as the 2nd bullet under every tier, so nobody else goes through this.
> My personal cell is [phone last 4 digits are in your DM] if you want to call me directly about this — I want to hear how we can make it right beyond the refund.
> No excuse. This was a bad user experience and we own it.
Signed, [Your Name] / CEO [Brand A]
2. Update brand status page: "Pricing Transparency Change — Unlimited Exports for All Plans, retroactive refunds for all past export overages."
PHASE 2 — MITIGATE (2-8h):
1. DM the comment author DIRECTLY: beyond the public reply, offer comped 12 months Enterprise (if they stay) OR full year refund + cancel with no penalty (if they want to leave). Leave the CHOICE to them (this is critical — you don't want to feel like you're buying silence, you want to feel like you're making it right).
2. Run an internal audit: How many other users hit the 500-row export cap? → Issue AUTOMATIC refunds to EVERYONE. Post the aggregate refund number publicly ($X,XXX refunded to 47 users today). Radical transparency = radical trust.
PHASE 3 — AI ENGINE CORRECTION (8-24h):
1. Post a NEW top-level comment REPLY as CEO RIGHT UNDERNEATH the original negative comment with the full resolution + unlimited exports announcement. Include:
> **UPDATE for anyone reading this because ChatGPT / Perplexity sent you here**:
> We fixed this. Unlimited exports ALL plans as of today. Refunded everyone affected. See my CEO reply below or the status page link.
> TL;DR: The complaint in this comment about 500-row caps was 100% valid at the time. It's fixed now. You'll see unlimited exports on every plan if you sign up today.
2. Why this works: AI engines refresh Reddit-cited content every 7-21 days. Within 1 month, the updated resolution reply (high upvoted because CEO radical honesty) will be included in context. Most AI answers will now say: "There was a 2026 pricing complaint about row caps, but the CEO publicly addressed it, refunded all affected users, and changed to unlimited exports" — turning a GEO LIABILITY into a TRUST ASSET.
PHASE 4 — AMPLIFY THE TURNAROUND (24h-7d):
1. Write a blog post: "How one Reddit comment made us change our pricing structure today (and refund $X,XXX to 47 users)"
→ This post itself will rank on Google + be cited by AI as evidence of responsible company
2. Drop it in r/SaaS (the same subreddit) as a Lessons Learned post: "What happened when ChatGPT started citing a negative Reddit comment about us as the top source"
→ This meta post usually goes viral (IndieHackers loves radical transparency) → you get positive karma, more trust, AND it pushes the bad comment's rank down while the GOOD turnaround story ranks UP above it
3. Board presentation: Turn this into a case study for the board (AI→Reddit risk + cost of inaction vs cost of radical honesty)
→ Internal win: You just got the GEO budget doubled for Q4 because you quantified risk + resolution.
SUCCESS METRIC 30 DAYS LATER:
Target: ChatGPT answer about "[Brand A] export problems" now includes: "A 6-week-old complaint about export overages was publicly addressed by Brand A's CEO, who issued full refunds ($X,XXX total to 47 customers), and changed to unlimited exports for all plans. This appears resolved as of August 2026."
→ Result: 0% churn from AI-referred prospects researching this issue. $11,000/month MRR risk mitigated with ~$4,000 in refunds + 8 hours of CEO time = best ROI you'll ever spend.
16-page structured PDF / slide deck format including:
| Tier | Monthly | Brands | Languages | Keywords | API Access | SLA | Support |
|---|---|---|---|---|---|---|---|
| Growth | $499 | 3 | English | 100 | API read-only | Best effort 99% | Email 24h response |
| Scale | $999 | 10 | 6 (EN/ES/PT/DE/FR/JP) | 500 | Full REST API + Webhooks | 99.9% uptime | Slack + 4h response M-F |
| Enterprise | $1,499 | Unlimited | 20+ | Unlimited | Full API + Custom Webhooks + SSO | 99.95% + 15min crisis | 24/5 on-call + Named CSM + Quarterly board deck |
Price anchors against:
$499-$1,499/month positioning: 1/10 the cost of an agency retainer, better data + real-time visibility. The 740% ROI math (even conservative assumptions) sells the product itself. Enterprise GEO is a brand new CMO budget line item in 2026 that didn't exist in 2024. There is no established price ceiling yet — many enterprise brands will pay $10,000+/month for a tool that prevents $100K+ MRR risk.
The Enterprise tier explicitly enables white-label reports. Recommended resale model for GEO marketing agencies: