netsujo.jp — Search and AI-Visibility Improvement
Self case study. Industry: Web3, AI, and systems development. Cross-source freshness anchor 2026-10-04; published comparison window ends 2026-10-12.
01 / Challenge and starting point
Our service descriptions, internal links, and structured data were not developed enough for search engines or AI to understand clearly.
Current case metrics are published from the canonical GSC/GA4 proof dataset. Missing values remain unmeasured rather than being treated as zero, and an unverified business-conversion metric is not presented as an outcome.
02 / What we did
- Implemented JSON-LD structured data (22 types)
- Set up 301 redirects (66)
- Resolved structured-data warnings (5 → 0)
- Fixed Open Graph type tags (og:type) on 62 articles
- Added internal links from the top page to service pages (0 → 6)
- Reorganised the service definitions and consolidated business information into a single source (the business-information ledger)
Target URL: https://netsujo.jp
03 / Before/after measured values
| Metric | Before (2026-03-01–2026-03-28) | Latest (2026-09-15–2026-10-12) | Source |
|---|---|---|---|
| Search impressions | 1,514 | 36,996 | GSC |
| Search clicks | 70 | 428 | GSC |
| Organic-search sessions | 112 | Not measured | GA4 |
All figures are 28-day measurements.
04 / External factors and limitations
- Across the published comparison interval, article publishing, a full site rebuild, and search-algorithm updates happened in parallel, so we cannot isolate the effect of any single action.
- We have not adjusted for seasonality or changes in search demand between the two comparison periods.
This case is a record of measured results for a specific period; it does not guarantee the same results elsewhere.