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UnrealSEO for SEO Agencies

🎯 Quick Summary

  • SEO agencies can use UnrealSEO to expand services, prove value beyond Google rankings, and differentiate from competitors
  • White-label reporting, multi-client management, and API access built for agency workflows
  • New revenue stream: offer LLM optimization as premium service alongside traditional SEO
  • Future-proof your agency as search shifts to AI-powered platforms

📋 Table of Contents

  1. Why Agencies Need LLMO
  2. Agency Use Cases
  3. Service Offering Ideas
  4. Client Reporting
  5. Pricing Models
  6. ROI Demonstration

🔑 Key Concepts at a Glance

  • Service Expansion: Add LLM optimization to existing SEO packages
  • White-Label: Rebrand UnrealSEO reports with your agency branding
  • Multi-Client: Manage 10-100+ clients from single dashboard
  • Competitive Edge: Offer what 95% of agencies don't (yet)

🏷️ Metadata

Tags: use-case, agencies, b2b, services Status: %%ACTIVE%% Complexity: %%MODERATE%% Max Lines: 450 (this file: 420 lines) Reading Time: 9 minutes Last Updated: 2025-01-18


Why Agencies Need LLMO

The Client Question You're Hearing

"What about AI search?"

Clients are asking:

  • "My traffic is down but rankings are up - why?"
  • "What happens when everyone uses ChatGPT instead of Google?"
  • "Are we visible in AI answers?"
  • "What's our AI strategy?"

Without UnrealSEO: You have no good answer.

With UnrealSEO: "We track your AI visibility across ChatGPT, Claude, and Gemini. Here's your citation report..."

Competitive Differentiation

Most agencies (2025):

  • Traditional SEO only
  • Google-focused metrics
  • Reactive to industry changes

Your agency (with UnrealSEO):

  • Traditional SEO + LLM optimization
  • Multi-platform visibility tracking
  • Proactive future-readiness

Result: Win more clients, charge premium rates.


Agency Use Cases

1. Comprehensive SEO Service

Tier 1: Basic SEO

  • Google rankings
  • Organic traffic
  • Technical audits

Tier 2: Advanced SEO + LLMO

  • Everything in Tier 1
  • AI citation tracking
  • LLM optimization
  • Competitor AI intelligence

Tier 3: Enterprise

  • Everything in Tier 2
  • Multi-brand tracking
  • Custom integrations
  • Dedicated support

2. Standalone LLM Audit

One-Time Service:

  • Baseline AI citation analysis
  • Competitor benchmarking
  • Optimization roadmap
  • 30-day implementation support

Pricing: $2,500-$5,000 per client

3. Ongoing LLM Management

Monthly Retainer:

  • Continuous citation monitoring
  • Monthly optimization implementations
  • Competitor tracking
  • Executive reports

Pricing: $1,000-$3,000/month per client


Service Offering Ideas

Package 1: "AI Visibility Audit"

Deliverables:

  • Baseline citation rate across 4 LLM platforms
  • Top 20 competitor comparison
  • 50-point optimization checklist
  • Priority action plan

Timeline: 2 weeks Price: $3,000

Package 2: "LLMO Implementation"

Deliverables:

  • Schema markup implementation
  • E-E-A-T strengthening
  • FAQ content creation
  • Author byline optimization
  • 3-month tracking + reporting

Timeline: 3 months Price: $8,000 setup + $1,500/month

Package 3: "Full-Spectrum Search Visibility"

Deliverables:

  • Traditional SEO (on-page, technical, content)
  • LLM optimization
  • Citation tracking
  • Quarterly strategy reviews
  • White-label client reporting

Timeline: Ongoing Price: $5,000-$15,000/month (based on scope)


Client Reporting

White-Label Reports

Monthly Client Report:

[Your Agency Logo]

AI Visibility Report - January 2025
Client: Acme Corp

Executive Summary:
✅ Citation Rate: 24.5% (+3.2% MoM)
✅ AI Share of Voice: #2 in category (↑ from #3)
✅ ChatGPT citations: +15% this month
⚠️ Gemini performance declining (-2%)

Key Wins:
- Implemented FAQ schema on 12 pages
- Added expert author bylines
- Created comparison content vs Competitor A
Result: +5.1% citation rate

Next Month's Focus:
1. Strengthen E-E-A-T on product pages
2. Create "Best [Category]" comparison guide
3. Build backlinks from industry authorities

Dashboard Access

Client Portal:

  • Real-time citation metrics
  • Branded with your agency identity
  • Custom views per client need
  • Exportable reports (PDF, CSV)

Pricing Models

Cost Structure

UnrealSEO Agency Pricing:

  • Starter: $299/month (10 clients)
  • Professional: $799/month (50 clients)
  • Enterprise: Custom (unlimited)

Your Pricing to Clients:

Option A: Bundle with SEO

Existing SEO Package: $2,000/month
Add LLMO Module: +$500/month
Total: $2,500/month

Your Cost: $16/month per client (50-client plan)
Your Profit: $484/month per client on LLMO

Option B: Standalone Service

LLM Optimization: $1,500/month
Your Cost: $16/month
Your Profit: $1,484/month

Option C: One-Time Audit

AI Visibility Audit: $3,000
Your Cost: $16 (one month to complete)
Your Profit: $2,984

ROI Example

50 Clients Scenario:

Revenue: 50 clients × $500/month = $25,000/month
Cost: $799/month (Professional plan)
Profit: $24,201/month
Annual: $290,412 additional profit

ROI Demonstration

Proving Value to Clients

Traditional SEO ROI:

"We improved your rankings from #15 to #3"
"Organic traffic up 35%"
"20 new leads from SEO this month"

LLMO ROI:

"You're now cited in 28% of AI answers (vs 12% before)"
"ChatGPT mentions your brand 3x more than competitors"
"AI Share of Voice increased from #5 to #2 in category"
"Brand awareness growing in AI-native audience"

Case Study Template

Client: B2B SaaS Company
Industry: Project Management
Challenge: Traffic declining despite good rankings

Solution:
- Month 1: Baseline audit (8% citation rate)
- Month 2-3: Implemented LLMO (FAQ schema, E-E-A-T, content)
- Month 4-6: Ongoing optimization

Results (6 months):
✅ Citation rate: 8% → 31% (+288%)
✅ AI Share of Voice: #7 → #2 in category
✅ Brand search volume: +47%
✅ Direct traffic: +23% (attributed to AI awareness)

Client Quote:
"While our competitors worry about Google, we're dominating
AI answers. Our sales team reports prospects already know
us from ChatGPT conversations."

For Agency Owners:

Service Delivery:


🆘 Need Help?

Agency-Specific Support:

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Last updated: 2025-01-18 | Edit this page