Supabase PostGIS for geospatial queries. Programmatic city x category pages with unique signals per combination. Claim and verification workflow. Elasticsearch or Supabase full-text search for discovery. Dynamic page generation via ISR for recently updated listings. Faceted filtering without query parameter index pollution. Schema markup at listing and category level.
エンタープライズプロジェクトが失敗する理由
提供内容
Programmatic City x Category Page Generation
Claim and Verification Workflow
Faceted Search Without Index Pollution
LocalBusiness Schema at Listing Level
よくある質問
How do you prevent a large directory from being flagged as thin content?
Quality signals don't work in isolation. You need all three levels firing at once. At the listing level, every page needs to clear a minimum content threshold -- business description, service details, location context, structured data. At the category level, your location-plus-category intersection pages need to aggregate listing data into something genuinely useful, not just a list of names. And at the site level, your taxonomy, internal linking structure, and freshness signals need to collectively demonstrate that the directory delivers consistent value over time. Directories that fail Google's quality assessments almost always have one or two of these levels covered. Not all three. And that gap is enough.
What database and search technology do you use for directory platforms?
We build on Supabase PostgreSQL with the PostGIS extension handling all the geospatial work -- radius search, nearest listing, distance filtering. Full-text search runs through PostgreSQL's native text search for most projects, or Elasticsearch when the dataset is large enough to need more sophisticated ranking. The same data layer feeds both the static site generation build for listing pages and the live runtime API powering the discovery interface. And no, we don't use WordPress directory plugins. They don't scale. And they produce exactly the thin content problems we've been describing.
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