- ProblemEngineered an information architecture that made Google spend crawl budget on the pages that convert.
- StackSEO • Architecture • Next.js • DevOps
- FocusSEO • Architecture • Next.js
- ResultsCrawl efficiency improved 54% in a month, time-to-index dropped from 18 to 6 days, and impressions grew 112% without publishing new blogs.
Problem
Engineered an information architecture that made Google spend crawl budget on the pages that convert.
Context
A multilingual education platform had thousands of indexed pages but almost zero impressions. The issue wasn’t copy — it was the chaotic way signals reached Google.
SEO signal architecture for crawl budget efficiency
Information architecture and canonical logic direct Google to high-converting pages.
SSR and hreflang fixes reduce duplicate indexing.
Ops-driven SEO with automation and monitoring
CI blocks canonical and hreflang regressions before deploy.
Search Console monitoring flags crawl anomalies early.
Architecture
- Redesigned IA using semantic clusters and component-level JSON-LD so every lesson, event, and course declared its relationship to parent topics.
- Moved rendering server-side (Next.js + edge caching) to expose real metadata instantly and support hreflang pairs.
- Built a link-flow visualizer (GraphQL + D3) that shows dead ends so writers fix content architecture, not just copy.
- Automated SEO checks in CI (Lighthouse CI + Screaming Frog headless) and blocked deploys when canonical/hreflang drifted.
- Used Search Console API + BigQuery to monitor crawl stats; anomalies pinged Slack.
Security / Threat Model
- Googlebot wasted crawl budget on duplicate parameterized pages.
- Dynamic routes lacked canonical logic, confusing search engines.
- Critical assets were blocked by misconfigured caching + robots rules.
- Internal link equity died because pages were orphaned inside components.
Tradeoffs & Lessons
When IA, rendering, and ops operate in sync, ranking becomes a byproduct. Search wants clarity, not cleverness.
Results
Crawl efficiency improved 54% in a month, time-to-index dropped from 18 to 6 days, and impressions grew 112% without publishing new blogs. The business finally treated SEO as a systems problem instead of a content chore.
Stack
FAQ
Why was traffic low?
Crawl budget was wasted on duplicate routes and blocked assets.
How was it fixed?
IA redesign, SSR, structured data, and CI SEO checks.
What results followed?
Indexing speed improved and impressions grew without extra content.