What we do
Not a list of services. One production system.
Each stage below feeds the next. The AI Content Factory is the production engine at the center; everything around it exists to point that engine at the right work and keep it accurate.
Business Discovery
- Purpose
- Establish a verified source of truth about the business.
- What we do
- We study identity, services, customer groups, locations, processes, capabilities, limitations, differentiators, terminology, and available evidence — and record which claims may and may not be made.
- What it produces
- A factual source that every later stage draws from.
Customer Question Research
- Purpose
- Understand what customers actually ask.
- What we do
- We research the questions people ask across problem discovery, solution discovery, comparison, cost, timing, risk, suitability, alternatives, preparation, and post-purchase.
- What it produces
- A Customer Question Map covering the real decision journey.
Information Gap Analysis
- Purpose
- Find what is missing.
- What we do
- We compare what customers need to know against what you currently explain, what competitors explain, and what AI systems can currently find — and identify what is absent, weak, contradictory, or fragmented.
- What it produces
- A prioritized list of missing coverage and opportunities.
Content Architecture
- Purpose
- Turn research into a controlled system.
- What we do
- We define page families, parent and supporting pages, topic clusters, internal linking, canonical relationships, priority order, factual sources per page, and the pages that should not be created.
- What it produces
- An architecture that can grow without becoming disorganized.
AI Content FactoryCore product
- Purpose
- Build the information itself.
- What we do
- We produce substantial, business-specific pages from approved source material — a direct answer, useful explanation, business context, decision criteria, limitations, metadata, structured data, and a clear next action.
- What it produces
- Real pages, not recommendations to create pages.
Publishing and Integration
- Purpose
- Get the pages live.
- What we do
- Depending on the engagement, we publish into your site, integrate through your CMS, add pages to a managed content area, or hand over implementation-ready content.
- What it produces
- Published or publication-ready pages, connected by internal links.
Quality and Accuracy Control
- Purpose
- Protect factual grounding.
- What we do
- Before publication we check facts against source material, and check for duplication, contradiction, unsupported claims, relevance, internal linking, metadata, and whether each page adds distinct value.
- What it produces
- Pages grounded in verified information, not invented facts.
Continuous Expansion
- Purpose
- Keep the presence growing.
- What we do
- New pages are selected from the research and evidence — not produced to meet a quota — and the architecture expands over successive cycles.
- What it produces
- A digital presence that keeps growing over time.
AI Visibility Monitoring
- Purpose
- Tell the factory what to build next.
- What we do
- We measure where the business appears, which questions remain uncovered, how AI describes it, and where competitors appear — and feed that back into the next production cycle.
- What it produces
- The direction for the next round of production.
For the order these run in on a real engagement, see how it works, or the engagement model.
Start with an assessment.
The assessment shows how AI and customers currently understand your business, and where the biggest information gaps are.