How Does TPG Lower Costs While Scaling Clusters?
We industrialize AEO production: reusable templates, automation-first QA, and a cross-functional pod model. The result is lower cost per page, higher quality, and faster time to value as you scale clusters.
The Cost Strategy in One View
Costs drop when work becomes repeatable and exceptions are rare. We standardize page patterns (answer, tables, checklists, FAQs), automate checks for extractability and compliance, and staff a small pod that can ship 60–100 pages per month without quality drift. As clusters expand, we shift spend toward proven intents and retire underperforming topics based on assisted-conversion data.
Primary Cost Levers
Lever | What We Do | Cost Impact | Quality Safeguard |
---|---|---|---|
Templates & components | Standard answer blocks, tables, decision matrices | ↓ drafting time 30–50% | Editor style guide + checklists |
Automation-first QA | Schema, links, reading level, banned phrases | ↓ review cycles 25–40% | Human review for fails only |
Pod staffing | Writer, editor, SME, SEO/AEO, RevOps analyst | ↑ throughput with fewer handoffs | Weekly retros + samples |
Evidence library | Pre-approved stats, citations, disclaimers | ↓ SME time 20–30% | Source date stamps |
Prioritization by intent | Focus on comparison/implementation first | ↑ conversions per page | Quarterly re-scoring |
Production Workflow (Fast, Safe, Repeatable)
Step | What Happens | Owner | Output | Timeframe |
---|---|---|---|---|
1. Scope | Lock question map, tags, POV, and links | Strategy | Cluster blueprint | 2–3 days |
2. Draft | Template-driven pages with evidence pulls | Writer/SME | Versioned drafts | Daily cadence |
3. Validate | Automated checks (schema, links, reading level) | Content Ops | Pass/fail report | Same day |
4. Edit | Editor fixes fails; applies style & POV | Editor | Publish-ready pages | Same day |
5. Publish | CMS load with internal links and FAQ schema | WebOps | Indexed pages | Rolling |
6. Optimize | Rewrite low-CTR titles; add tables/FAQs | SEO/AEO | Release notes | Weekly |
Automation Stack (Example)
Automation | What It Checks/Generates | Action | Benefit |
---|---|---|---|
Schema validator | FAQ/HowTo/QAPage completeness | Fail page; send task | Higher extractability |
Link & anchor audit | Internal links to pillar/siblings | Auto-suggest links | Faster interlinking |
Reading-level check | Sentence length, jargon flags | Inline suggestions | Clarity, accessibility |
Language policy | Banned phrases, required disclaimers | Block publish | Risk reduction |
Title/CTA tuner | Predictive CTR hints | Recommended variants | More clicks per page |
KPIs & Formulas to Prove Efficiency
Metric | Formula | Target | Decision |
---|---|---|---|
Cost per Published Page (CPP) | Total program cost ÷ pages published | Trend ↓ monthly | Scale templates/automation |
Cost per Assisted Conversion (CPAC) | Program cost ÷ assisted conversions | Trend ↓ with depth | Shift spend to winning intents |
Time to First Value | Days to first assist/snippet | < 45–60 days | Front-load high-intent pages |
Defect Rate | Validator fails ÷ pages | < 5% | Improve templates/training |
Rewrite Yield | % pages with CTR or CVR uplift post-rewrite | ≥ 30% | Prioritize fixes over net-new |
Related Resources
Frequently Asked Questions
Five roles cover it: writer, editor, SME, SEO/AEO specialist, and RevOps analyst. WebOps is shared across pods.
Draft acceleration, table generation, link suggestions, and QA checks. Human editors handle POV, accuracy, and compliance.
We refactor high-performing assets into answer-first templates and retire or consolidate redundant pieces to cut maintenance cost.
Monthly CPP/CPAC reviews, validator coverage reports, and a fixed rewrite buffer ensure we improve existing pages before adding volume.
Yes. We adapt templates and validators to your CMS, and pipe signals into your analytics/CRM for CPP and CPAC tracking.