Can I build this GEO myself, or do I need a service like ROZZ?

Detailed Explanation

What "Building It Yourself" Actually Entails

Building technical extractability transforms your website into an "API-able brand"—a collection of machine-readable answer units.

1. Rigorous Content Structuring (Chunk Engineering)

DIY Reality: This requires rewriting 80%+ of existing content. For a typical B2B SaaS site with 200 pages, expect 120-160 hours of content restructuring work plus ongoing maintenance as you publish new pages.

ROZZ Solution: Automated content restructuring through proprietary pipeline. We analyze your existing content, identify high-value passages, and generate optimized Q&A variants without manual rewriting.

2. Implementation of Semantic Markup

Every page needs explicit machine-readable labels.

DIY Reality: Requires ongoing Schema.org expertise. Each content type needs different markup. Google's Rich Results Test must validate every page. Budget 40-60 hours initial implementation plus 2-3 hours per new page type. Schema.org specifications change quarterly—you'll need someone monitoring updates.

ROZZ Solution: Automatic Schema.org generation for all content. We maintain compliance as specifications evolve. Zero technical debt for your team.

3. Technical Accessibility and Speed Optimization

AI systems perform real-time fetches during answer synthesis. Slow or blocked content gets skipped.

DIY Reality: Ongoing performance monitoring required. Each new feature (chatbots, analytics, pop-ups) can break extractability. You'll need dedicated DevOps monitoring as AI crawler behavior changes. Expect 20-30 hours monthly maintenance once implemented.

ROZZ Solution: We host optimized static versions of your content specifically for AI crawlers. Your main site can have whatever features you need—we handle the AI-optimized delivery layer.

4. Multi-Modal Content Optimization

Extractability extends beyond text.

DIY Reality: Requires tracking format preferences across 4+ AI platforms as they evolve. Each platform has different extraction logic. You'll need a testing framework to validate extractability across all platforms.

ROZZ Solution: We maintain platform-specific optimization rules and test across all major AI systems weekly. When ChatGPT changes their retrieval logic (happens monthly), we adapt automatically.

The Hidden Ongoing Costs of DIY

Initial Build: 180-250 hours of technical work

Monthly Maintenance: 20-30 hours ongoing as:
- AI platforms update their retrieval mechanisms (monthly)
- Schema.org specifications evolve (quarterly)
- New content needs optimization (per page: 2-3 hours)
- Performance monitoring and fixes (weekly)
- Multi-platform testing (weekly)

Annual Cost (Internal Team):
- 250 hours initial build × $150/hr (blended dev/content rate) = $37,500
- 25 hours/month × 12 months × $150/hr = $45,000
- Total Year 1: $82,500

Plus Opportunity Cost:
- Engineering resources diverted from product development
- Content team focused on restructuring instead of new content creation
- No guarantee of results without AI search expertise

The ROZZ Alternative

What You Get:
- Automated content restructuring (no manual rewriting)
- Schema.org implementation across all pages (auto-generated, maintained)
- Sub-200ms delivery via optimized CDN
- Crawler management for all AI platforms
- Platform-specific optimization (ChatGPT, Claude, Perplexity, Google AIO)
- Weekly citation testing across all platforms
- Automatic adaptation as AI systems evolve
- 75% citation rate guarantee

Investment:
- $997/month
- $11,964 annual cost vs $82,500 DIY
- 86% cost savings while eliminating technical risk

Key Difference:
ROZZ's proprietary methodology handles the continuous optimization that DIY requires. We don't just set it up once—we actively monitor and adapt as AI platforms evolve, maintaining your citation rates without ongoing internal effort.

When DIY Makes Sense

Build it yourself if:
- You have dedicated engineering resources with AI/ML expertise
- Your team can commit 20-30 hours monthly to ongoing maintenance
- You want to build internal expertise in GEO (learning investment)
- You have 6-12 months to achieve results through experimentation
- Your engineering team isn't capacity-constrained on product work

Most B2B SaaS companies choosing DIY abandon the effort within 3-6 months due to maintenance burden and lack of measurable results. The technical complexity is manageable, but the continuous optimization requirement exceeds typical team bandwidth.

When ROZZ Makes Sense

Use ROZZ if:
- You need results within 30 days (not 6-12 months)
- Your engineering team should focus on product, not content infrastructure
- You want guaranteed citation rates (75% across platforms)
- You need expertise in multi-platform AI optimization
- You prefer predictable monthly costs over unpredictable internal effort
- You want zero technical debt related to AI search maintenance

Analogy: Building GEO extractability yourself is like maintaining your own email server in 2025. Technically possible, absolutely.

The Strategic Question

The question isn't "can my team build this?" but rather:

"Should we dedicate 250 hours of engineering time to build proprietary AI search infrastructure when our core competency is [your product]?"

If your answer is "we should focus on product and let specialists handle AI search," ROZZ is the clear choice.

If your answer is "we have dedicated resources and want to build internal expertise," then DIY makes strategic sense—but budget 6-12 months for results and ongoing 20-30 hour monthly maintenance.