01
Data ingestion
Regulatory datasets and product mappings are normalised into a versioned content graph.
Verified Case Study
B2B Compliance Platform
Global Enterprise SaaS SEO & Programmatic Growth
Built an automated SEO program to publish 4,500 programmatic compliance narratives, capturing high-intent organic buyer search intent globally.
- Industry
- B2B SaaS
- Engagement
- 12 weeks · Retained
- Delivered
- 2026
Measured impact
Outcomes, not activity.
+340% Scale
Organic Pipeline
1,200+ Keywords
Top 3 Rankings
4,500
Published Pages
The Problem
Where the existing system broke down.
The platform had strong product depth but almost no organic surface area, and the content team could not manually produce thousands of jurisdiction-specific compliance pages.
What changed after delivery
- Organic became the largest qualified pipeline source.
- Content production scaled without proportional headcount.
- Technical debt in the CMS removed before scale-up.
The Architecture
A system designed for production pressure.
A typed content pipeline joins regulatory datasets with editorial components, validates every page against schema rules, and publishes through Next.js incremental rendering. Internal linking, canonical logic, and index hygiene are generated deterministically instead of manually.
02
Template engine
Editorial components generate jurisdiction, industry, and use-case variants with structured data.
03
Quality gate
Automated checks block thin pages, duplicate canonicals, and missing schema before publication.
04
Search operations
Index monitoring, internal-link scoring, and query-gap reporting close the loop after launch.
Tech stack
Next.js SEOTypeScriptSchema.orgPostgreSQLProgrammatic content
Client testimonial · 5.0 / 5.0
“They treated SEO like an engineering system, not a content sprint. Within two quarters we owned search results our sales team previously paid heavily to reach.”
Samantha Vance
VP Growth, B2B Compliance Platform
Architect a similar system
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