📊 Asset 1: Looker Studio Template (AI Citation Dashboard)

Since I can’t generate an actual .lookerstudio Here, I’ll provide you with the exact structure and field setup, so you (or any analyst) can create and share it as a template link.

Dashboard Pages & Widgets

Page 1 – Overview (Exec View)

• Scorecards

  • Total AI Citations (last 30 days)

  • Top Cited Page

  • Citation → Sessions (last 7 days)

• Time Series

  • AI Citations per Day (by engine: ChatGPT, Perplexity, Gemini, Google AI Overviews)

• Pie Chart

  • Share of Voice (Citations % by engine)

Page 2 – Ops & Alerts

• Table

  • Citation Timestamp | Engine | Prompt | Source URL | Confidence Score

• Conditional Formatting

  • Highlight spikes (citations >200% baseline) in red.

• Alert Panel

  • Latest critical citations (from SLA rules).

Page 3 – Content Insights

• Bar Chart

  • Top Cited Pages (last 28 days)

• Heatmap

  • Page vs Engine vs Citation Count.

• Table

  • Page URL | Citation Count | Sessions (from GA4) | Assisted Conversions.

Data Sources Needed For Looker Studio Template

• Citation Export (from Hall / Rankshift / Profound / Writesonic) → BigQuery / Sheets.

  • Fields: timestamp, engine, prompt, source_url, answer_excerpt, confidence.

• GA4 BigQuery Export

  • Fields: event_date, page_location, sessions, conversions.

Calculated Metrics

• Citations/Day = COUNT_DISTINCT(citation_id)

• Citations → Sessions = JOIN(source_url = landing_page, within 7 days)

• Spike Alerts = IF(citations_today > (median_last28 * 2), “Spike”, “Normal”)

👉 Once built, you can share it as a template link in Looker Studio and gate it as part of your toolkit.

📄 Asset 2: 1-Page SLA (AI Citation Monitoring)

Here’s a clean draft you can turn into a PDF/Doc for download:

AI Citation Monitoring SLA (Service-Level Agreement)

Objective:
Ensure timely monitoring, verification, and response to AI-driven citations of brand content.

SLA Tiers

• Critical (1 hour)

  • Criteria: High-value page (pricing, legal, brand-sensitive) cited with errors, negative sentiment, or misattribution.

  • Action: Verify citation, escalate to PR/Comms, correct content if needed.

• High (4–24 hours)

  • Criteria: Spike in citations for target keywords/topics.

  • Action: Review content for optimization, log opportunity in content calendar.

• Normal (48–72 hours)

  • Criteria: Routine citations on low-value or evergreen pages.

  • Action: Batch review, note patterns, schedule optimizations.

Service Objectives

• Detection Latency: < 24 hours for critical citations.

• Accuracy Verification: Manual review of 100% critical citations.

• Escalation: PR/SEO team notified within SLA window.

Workflow Roles

• Monitoring Owner: SEO/Data Analyst — runs daily dashboard checks.

• Escalation Owner: Marketing/PR — handles critical/negative citations.

• Content Owner: SEO/Content team — updates/optimizes pages as needed.

Reporting

• Weekly: Citation volume, top pages, SLA compliance.

• Monthly: Trends, missed citations, ROI (citations → conversions).

👉 This document works as both a client-facing SLA (if you’re freelancing/agency side) and an internal workflow rulebook.

📝 Asset 3: 10-Point UTM Cheat Sheet

UTM Checklist for AI & GA4 Attribution

1. Always lowercase utm_source, utm_medium, utm_campaign.

2. Use utm_source=chatgpt|perplexity|gemini|google_ai.

3. Use utm_medium=ai_answer.

4. Standardize campaign naming: utm_campaign=ai_cite_{topic}.

5. Avoid spaces — use hyphens or underscores.

6. Document UTM conventions in a shared sheet.

7. Always tag canonical source snippets.

8. Use shorteners with preserved UTMs (Bitly/UTM.io).

9. Validate UTMs in GA4 DebugView.

10. Export UTMs → BigQuery for long-term analysis.

👉 Save as a 1-page PDF (easy reference).

⚡ Asset 4: Playbook — “When AI Cites You → 48-Hour Action Plan.”

Day 1 – Verification & Triage

• Check dashboard alerts (new citations logged).

• Verify accuracy: Did the AI paraphrase correctly? Is your brand represented positively?

• Tag SLA level (Critical/High/Normal).

• Escalate Critical citations to PR/Legal.

Day 2 – Amplification & Optimization

• Share positive citations internally (Slack/Teams).

• Post on socials: “We got cited by [AI tool] for [topic] 🎉.”

• Optimize cited page → update schema/snippet for future AI pulls.

• Log the citation → Content Calendar → plan blog/SEO follow-up.