How TPG Maintains Scalability Across Multiple Clusters

How does TPG maintain scalability across multiple clusters?

We scale by standardizing page contracts and workflows, running content in sprints, automating repeatable steps, and enforcing quality gates with shared metrics—so each cluster follows the same predictable operating model.

See the AEO Page Patterns Explore the AEO Hub
Every cluster uses the same contract: question-based H1, 40–90 word answer, 5 bullets, one small table/checklist, expanded explanation, and three internal links. We codify this in templates and schemas, run two-week sprints with defined roles, automate drafting/QA where safe, and monitor a shared KPI set (answerability, crawl health, and engagement) before adding new clusters.

TPG’s multi-cluster operating model

Pillar What we standardize Why it scales
Contracts & templates Page pattern, JSON-LD, link model, tone Removes ambiguity; speeds production
Sprint cadence 2-week cycles; 25–50 Q&A pages per sprint Predictable throughput and QA windows
Automation Drafting, internal link insertion, schema validation Reduces manual steps; fewer errors
Quality gates Lint checks, read time, table presence, link coverage Ensures answerability at scale
Observability Dashboards for crawl, snippets, citation sightings Early signals prevent rework later

Who does what (RACI)

Role Accountabilities Time focus
Content Lead Topic map, contracts, editorial acceptance Direction & quality
Strategist Pillar ↔ cluster graph, anchors, KPIs Architecture
Writers/SMEs Drafts in template; checklists/tables Production
WebOps Schema, accessibility, publishing, QA Implementation
Analyst Dashboards, crawl/snippet monitoring Feedback loop

Two-week sprint (repeatable steps)

Step What to do Output Owner Timeframe
1 — Plan Choose 25–50 questions; confirm anchors Sprint backlog Strategist 0.5 day
2 — Draft Generate drafts via template + SME review Structured pages Writers/SMEs 4–5 days
3 — Implement Add schema, tables, links; accessibility QA Publish-ready pages WebOps 2 days
4 — Validate Run lint checks; fix gaps; ship Live pages + log Content Lead 1 day
5 — Observe Monitor crawl, snippets, engagement Tuning backlog Analyst Ongoing

Automation boundaries

Automate: draft scaffolds, schema injection, internal link placement, checklist/table formatting.
Human: nuanced claims, proof selection, brand voice, and final acceptance.
Guardrails: style linting, fact flags for risky assertions, and accessibility checks.

Scale metrics we watch

Metric Formula Target Notes
Throughput Pages published ÷ sprint 25–50 Per cluster squad
Answerability pass Pages meeting pattern ÷ total ≥ 95% Checks H1, answer, bullets, table
Crawl health Indexed pages ÷ published ≥ 90% 30-day window
Snippet/rich wins Pages with rich results ÷ total Up vs. baseline Proxy for extractability
Cluster engagement Internal next-page CTR ≥ 20% Pillar → Q&A → conversion

Frequently Asked Questions

How many clusters can run in parallel?
As many as you can staff squads for. We keep squads independent but aligned through the same contracts, dashboards, and review gates.
Do templates limit creativity?
Templates handle structure; POV and examples remain team-driven. We standardize form, not ideas.
What happens when a cluster underperforms?
We pause net-new pages, review contracts, strengthen internal links, and tune sections with low engagement before resuming.
Can we reuse assets across clusters?
Yes—checklists, process tables, and glossary terms are modular and versioned so updates cascade safely.
How do you prevent duplicate coverage?
A shared question registry and lint rules flag overlaps; strategists merge or cross-link to preserve clarity.

Related resources

See The Complete Guide to Answer Engine Optimization and the AEO Overview Hub for patterns, schemas, and examples.