SEO and Traffic Measurement Plan, V2
1. Position of This Plan
This was an execution plan based on the repository's then-current data, not a final SEO strategy. Rather than optimizing all page types evenly, it focused first on the pages with the strongest underlying data and the clearest chance of earning crawler trust. Results would inform later thresholds and pacing.
2. State of the Data
Competition-Driven Imports
The data path began with full participation and result imports for a competition. Competitions then established organizations, athlete records, and athlete-development pages. It did not begin by filling every athlete profile independently. That competition-driven path was more sustainable for the data available.
Strongest Assets: Complete Competition Chains
The repository showed data assets organized by event and edition. Hakone covered editions 98–101, with 102 entering the import sequence. Izumo covered editions 33–37. All-Japan University Ekiden had a bootstrap structure. The men's National High School Ekiden covered 2021–2025 continuously. Together these formed a strong path from race pages to organization and athlete pages.
High School Pages as Aggregation Pages
For high-school ekiden, the imports included 47 representative schools in each of 2021, 2022, and 2023, and 58 in each of 2024 and 2025. They also carried prefecture and normalized school-identity information. Some school pages therefore had several years of entries, multiple related athletes, and stable geographic context. They could answer searches for a school's name or its ekiden participation more effectively than a thin isolated athlete page.
Athlete Pages Were Not Equally Mature
Some athletes were shells created by event imports, with basic identity and only a few linked records. Others had several race results, clear affiliations, PBs, sources, and relationship data. This difference should guide SEO investment instead of being hidden by one uniform template.
3. Principles
Do not optimize every page evenly. Do not treat all athlete pages as equal-quality assets. Keep the competition-driven import path. Order SEO work by actual data maturity, not by an abstract hierarchy of page types.
4. Page Priorities
First: Complete Race Editions
Fully imported race-edition pages had clear subjects, known search demand for event names, high information density, and good potential as internal-link hubs. The first candidates were Hakone, Izumo, and National High School Ekiden editions. They needed standardized titles and descriptions, readable body copy, structured race information, links to organizations and athletes, and breadcrumbs.
Second: Schools with Recurring Participation
School pages with consecutive event records could accumulate content over time and respond to stable school-name searches. They should show basic school identity, years of participation, notable athletes, a results overview, and related races. As aggregation assets, they could be stronger than disconnected athlete pages.
Third: Mature Athlete Pages
Athletes with several race records, a clear organization, a usable PB or results overview, and enough description for a meaningful summary could enter the promoted indexing path. The first threshold did not need a complex scoring algorithm.
Defer: Large Numbers of Shell Profiles
Thin athlete pages could remain accessible, but pushing them all into the main SEO effort would risk many low-value pages, diluted crawl attention, and weaker overall quality signals. They should gain search prominence as the data improves.
5. Sitemaps and Indexing
The plan proposed quality tiers rather than listing every URL equally:
- Core sitemap: Complete races, strong school pages, and mature athlete profiles.
- Extended sitemap: Other organizations and medium-quality people pages.
- Long-tail accessible layer: Thin athlete shells that remain reachable but are not actively promoted.
A first quality threshold could use engineering-checkable facts: multiple results, displayable affiliation, PB data, a biography or useful summary, and navigable relationships. A page meeting enough of these conditions could enter the main sitemap or stronger indexing path. Clearly thin pages could stay out of the core sitemap while remaining linked internally, then be promoted after further imports.
These were proposed sitemap tiers and thresholds, not evidence that all were already configured in production.
6. Page Content
Race Pages Need Readable Context
A race page should not consist solely of structured lists. It needs a short human-readable explanation of the event, the edition or date, the information shown, and what a reader can inspect next.
School Pages Need an Aggregated Story
A school page should describe a school's continuing participation, not just show a table. A short identity description, past editions, representative athletes, and related races make it a useful archive.
Athlete Metadata Should Reflect Maturity
The visual template may be shared, but metadata and indexing treatment should differ. Mature profiles can have complete title and description text, a place in the main sitemap, and stronger internal links. Shell profiles can retain basic metadata without being promoted as heavily.
7. Measurement
The first phase of measurement had three questions: Which page types started receiving search traffic? Which queries and landing pages grew? Which promising pages warranted more content?
Race, school, and athlete search entries should be measured separately, along with indexing and impression changes by page group. A site-wide page-view total alone would not reveal whether the competition, school, or athlete path was working.
8. First Execution Cycle
- Strengthen the best-supported race pages so crawlers and readers can understand them.
- Choose schools with recurring participation for the next set of aggregation pages.
- Define a practical maturity threshold before promoting athlete pages.
- Build reporting by page type to compare search traffic and indexing trends.
9. Trade-Off
The plan did not attempt SEO for every URL. It accepted that data maturity varied and put effort behind the strongest existing assets first. This was more likely to produce useful evidence than spreading equal effort across a large number of thin pages.
10. Conclusion
The proposed path was to continue competition-driven data development, prioritize complete race pages, then schools with repeated participation, then mature athletes. Sitemaps, indexing treatment, and measurement should reflect page quality. The plan was a starting point for feedback from search data, not a claim that search growth had already occurred.