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Programmatic SEO
253,052+ Pages LiveNext.js ISRSupabase Data Pipeline

プログラマティックSEOサービス

253,000+ページインデックス。あなたのデータ、無限のランキング。

253K+
Pages Indexed
Across 3 live projects
91K
Deluxe Astrology
30 languages
137K
Not Another Sunday
3 countries
25K
HostList
53 countries
What Is Programmatic SEO?

Programmatic SEO takes the structured data sitting in your database and turns it into thousands of search-optimized pages. Each one targets a specific long-tail keyword — think 'best cafes in Shibuya' or 'Scorpio horoscope today' — with its own title, meta description, schema markup, and internal links. Instead of writing 10,000 pages by hand, you build one template and let your data do the work. The more pages Google indexes, the more traffic compounds.

Your database has 10,000+ records but zero organic traffic from them Every day without indexed pages is long-tail traffic your competitors are capturing instead.
Manual content creation can't scale to thousands of location or product pages At $50-200 per page, getting to 10,000 pages would run you $500K-$2M in copywriting alone.
Your current CMS chokes on large-scale page generation WordPress and traditional CMSs hit performance walls around 5,000+ pages, and your Core Web Vitals take the hit.
Google isn't indexing your dynamically rendered pages Client-side rendered JavaScript gets crawled inconsistently — most of those pages never make it into the index.
You've tried programmatic SEO before and got hit with thin content penalties Duplicate or near-duplicate pages trigger quality filters, and Google deindexes entire clusters at once.
No visibility into which page clusters actually drive traffic Without per-cluster reporting, you can't prune what's underperforming or double down on what's working.
Unique Content Per Page
Every page gets a unique title tag, meta description, H1, body content block, and internal link structure. No two pages share identical content — Google treats each one as a distinct, valuable result.
JSON-LD Schema Markup
Each page includes structured data matched to its entity type — LocalBusiness, Product, Person, FAQPage. That's what drives rich snippets and improves how Google's AI overviews recognize your entities.
ISR Build Architecture
Next.js Incremental Static Regeneration builds pages on first request and revalidates on a schedule. No six-hour full rebuilds for 91,000 pages — each page regenerates on its own.
Sitemap Architecture
Dynamic sitemap index files split across category clusters, each staying under the 50,000 URL limit. They're auto-generated on build, submitted to GSC, and monitored for crawl errors.
Crawl Budget Management
Internal linking, canonical tags, and robots directives keep Google's crawl budget focused on your high-value pages. Low-value parameters and duplicate paths get blocked.
Indexing Monitoring
GSC API integration tracks indexed vs. submitted URLs per cluster. You get alerts when indexing ratios drop, plus monthly reports showing coverage trends and how errors get resolved.
Supabase Data Pipeline
Your structured data lives in Supabase PostgreSQL tables with row-level security. We build the ingestion scripts, validation rules, and real-time sync for live data sources.
Dynamic Template Engine
One Next.js template per page type — with conditional content blocks, dynamic internal links, and entity-specific schema — producing pages that read like someone actually wrote them.
Multi-Language Generation
Deluxe Astrology runs in 30 languages. We handle hreflang tags, locale-specific sitemaps, and translated URL slugs for international programmatic SEO.
Internal Link Graph
Automated internal linking connects related entities within and across clusters — a yoga pose links to its associated gemstone, a café links to its neighborhood — distributing authority at scale without manual work.
Per-Cluster Traffic Reports
Monthly breakdowns show impressions, clicks, and average position for each page cluster. So you'll know if 'angel numbers' is outperforming 'celebrity profiles' and can allocate your effort accordingly.
Edge Deployment on Vercel
Pages are served from Vercel's global edge network with sub-100ms TTFB — 91,000 pages that perform like a static site while still updating data in real time.
01
Data Audit & Schema Design
We start by analyzing your dataset, identifying combinatorial keyword patterns (city × service, product × category), and designing the Supabase schema with the right relationships and content fields.
Week 1
02
Template Development
Then we build Next.js page templates with unique content injection points, conditional logic per entity type, schema markup, and internal link algorithms. Every template gets put through a manual quality review before we ship it.
Week 2-3
03
ISR Pipeline & Sitemap Architecture
We configure ISR revalidation schedules, build dynamic sitemap index files split by cluster, and set up canonical tags and robots directives so crawl budget isn't wasted.
Week 3-4
04
Deploy & Submit to GSC
We deploy to Vercel, submit sitemaps to Google Search Console, request indexing for priority clusters, and verify pages render correctly in Google's URL Inspection tool.
Week 4-5
05
Monitor, Report & Optimize
For the first 30 days after launch, we watch indexing ratios, crawl errors, and early ranking signals closely. Monthly traffic reports per cluster follow, with specific recommendations on where to expand or prune.
Week 5-8
Next.jsSupabaseVercelISRJSON-LD SchemaGoogle Search Console APIDynamic Sitemaps

FAQ

How is programmatic SEO different from AI-generated content?

Programmatic SEO pulls real, structured data — actual venue names, real addresses, verified ratings — into optimized templates. It's not generating content from nothing. Each page contains factual, unique information pulled directly from your database. Google rewards this because the data is original and useful, unlike AI-generated filler that tends to blur together across pages.

Won't Google penalize thousands of similar pages as thin content?

Only if the pages are actually thin. We make sure every page has unique title tags, meta descriptions, body content, schema markup, and internal links — all derived from distinct data records. Our 253,052 indexed pages prove this approach works at scale. The real key is having substantial, unique data per record, which is why we audit your dataset before committing to anything.

How long until programmatic SEO pages start ranking?

Initial indexing typically happens within 2-4 weeks of sitemap submission. You'll start seeing early ranking signals within 30-60 days for low-competition long-tail keywords. Traffic builds over 3-6 months as Google discovers and develops trust in more pages from the cluster. Not Another Sunday's 137,000 venue pages started gaining traction within the first 60 days of deployment.

What if my data changes frequently?

Next.js ISR handles this natively. Pages revalidate on a configurable schedule — hourly, daily, or on-demand via webhook. When a Supabase record updates, the next visitor triggers a fresh build for that specific page. No full site rebuild needed. That's how we keep 253,000+ pages current without creating deployment bottlenecks.

Can you add programmatic pages to my existing website?

Yes. We deploy programmatic page clusters as a subdirectory (like /locations/ or /listings/) on your existing domain using Vercel's rewrites or subdomain routing. Your main site stays untouched. The programmatic pages inherit your domain authority, which speeds up indexing. We've done this on WordPress, Webflow, and custom-built platforms.

What industries work best for programmatic SEO?

Honestly, any business with structured, combinatorial data. Job boards (city × role), real estate (neighborhood × property type), law firms (city × practice area), directories, e-commerce catalogs, franchise networks, travel sites — they all see strong results. The minimum viable dataset is around 1,000 unique records with enough fields to generate pages that are meaningfully different from each other.

Programmatic SEO from $8,000
Fixed-fee per tier. 30-day post-launch monitoring included.
See all packages →
253,000 Pages Case Study: Next.js + SupabaseDynamic Sitemaps for 91,000 PagesNext.js DevelopmentCore Web Vitals Optimization

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