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SEO Services
880/mo volumeProven at 91K+ pagesEngineering-grade

フランチャイズ向けマルチロケーションSEOサービス

フランチャイズ向けマルチロケーションSEO: 重複コンテンツペナルティなしで10~500店舗にスケール

91K+
Pages Shipped
Tara DA at multilingual scale
137K
Listings
NAS directory at scale
880/mo
Monthly Searches
Addressable via multi-location seo
From $5K/mo
Retainer
Plus architecture build from $25K
What Is Multi-Location SEO?

Here's the thing about Multi-Location SEO -- it's fundamentally an engineering problem, not a content-writing problem. Most agencies treat it like a writing exercise. They're wrong. What we actually build: a template with proper schema and content architecture, a data source (database, API, or CSV) that feeds the per-page content, and a generation pipeline with uniqueness guardrails so you don't get slapped with thin-content penalties. That's the core of it. And when those three pieces work together properly, one template plus one data source generates thousands of rankable pages targeting long-tail queries that you simply can't address economically by hand-crafting content. So what does that look like in practice? We shipped 91K+ pages for Tara DA -- 30 languages, multilingual at scale. 137K pub listings for NAS's UK directory. 25K+ across other projects. The architecture genuinely scales from hundreds to hundreds of thousands of pages without falling apart. But here's what separates real programmatic SEO from doorway-spam garbage: the uniqueness guardrails built into every template. Minimum word count enforcement, entity-aware content inserts, vertical-specific data overlays. These aren't nice-to-haves -- they're what determines whether Google indexes your pages or quietly de-indexes them as spam. We've seen both outcomes. The difference isn't luck.

プロジェクトが失敗する理由

The default franchise SEO playbook is basically: create a page per location, swap the city name, call it done Google's seen this a thousand times. Those pages get de-indexed as thin content, and honestly, they deserve to. The real problem is most franchise operators don't realize it's happening until they check Search Console and find half their location pages aren't indexed at all. Proper programmatic architecture -- with genuinely unique local content per location -- is what actually passes Google's quality review. There's no shortcut around this.
Separate WordPress sites per location is one of those decisions that feels logical at first and then quietly destroys your SEO for years You're diluting domain authority across dozens of properties, fragmenting your content, and making every future SEO effort twice as hard. We've audited franchise operations with 60+ separate sites where not one of them ranked competitively for anything. A unified-site architecture with programmatic location pages -- think /locations/chicago, /locations/manchester -- concentrates authority in one property while still giving each location real visibility. It's pretty straightforward once you see it working.
Managing Google Business Profiles across 50+ locations manually is a operational nightmare Hours drift. Photos go stale. Categories get misconfigured by someone at the location level. And because nobody's watching, it just gets worse. Centralised GBP management -- with per-location calibration across categories, hours, photos, posts, and review responses -- isn't optional at this scale, it's mandatory. The chains ranking in local packs across multiple cities aren't doing this manually location by location. They've built systems.
Most franchise locations are sitting at 12-30 reviews and wondering why they're not showing up in the local pack Review velocity matters enormously -- and hoping customers leave reviews on their own doesn't work. Automated review requests triggered from your POS or CRM system, sent at the right moment in the customer journey, consistently lift review count 5-10x. We've watched locations in competitive markets like Austin and Birmingham go from invisible to top-3 local pack purely on the back of review velocity improvements. That's the real kicker with local SEO.
Corporate marketing teams can't write genuinely local content for 80 franchise locations They don't know that the Dallas location is next to a major hospital, or that the Brighton franchisee sponsors the local football club. Franchisees know this stuff. A federated content architecture gives franchisees controlled authorship -- real permissions to contribute local knowledge -- within guardrails that protect brand consistency and SEO quality. Corporate stops being the bottleneck. Local market intelligence actually makes it onto the page.

コンプライアンス

Engineering-Grade Architecture

Look, programmatic SEO isn't a marketing project with some technical bits bolted on. It's an engineering project. Template design, data pipeline construction, uniqueness guardrails, indexation strategy, crawl-budget optimisation -- these are production systems that need to be built properly or they fail at scale. And they fail in ways that are genuinely hard to diagnose after the fact. We're engineers who've shipped these systems, not marketers who've read about them.

Content Uniqueness Guardrails

Thin content penalties don't announce themselves -- you just notice your pages quietly disappearing from the index. Every template we build includes minimum word count enforcement, entity-aware content inserts that pull locally-relevant information, and vertical-specific data overlays that make pages genuinely different from each other. Plus UGC where it makes sense, and automated quality review before a single page hits the index. It's a lot of guardrails. But that's what keeps 137K pages indexed instead of de-indexed.

Indexation at Scale

Shipping 50,000 pages and having Google actually index 50,000 pages are two completely different things. Crawl budget is finite, and Google isn't going to crawl everything you throw at it -- especially on a newer domain or a site with a patchy quality history. Internal linking architecture, sitemap structure, canonical hygiene, and how you handle pagination all determine your actual indexation rate. Honestly, most agencies shipping programmatic pages at scale just don't think about this. We monitor indexation per template across thousands of pages, because that's where the real performance data lives.

Unique Schema Per Template

Every template emits the right Schema.org markup for what it actually is -- Product, Service, LocalBusiness, Event, Article, whatever fits the page type. And we validate it in Search Console before we scale anything. Copy-pasting identical schema across every template, regardless of content type, is one of those things that looks fine on the surface and quietly costs you rich results across thousands of pages.

Data Pipeline Freshness

A one-time data export that generates pages and then sits there getting stale isn't real programmatic SEO. It's a batch job. Real programmatic SEO has a live data pipeline -- ingestion, transformation, refresh -- feeding templates continuously. Pub hours change. Product prices update. Service areas expand. If your data pipeline doesn't handle that, your pages fall out of sync with reality, and rankings follow. We build the pipeline, not just the initial generation.

Monitoring + Iteration at Scale

Monitoring matters differently at scale. You're not checking individual page rankings -- you're looking for template-level patterns. GSC indexation monitoring across thousands of pages, ranking tracking via DataForSEO for pattern-level insights, and automated alerts when a template-wide ranking drop appears. Because if something goes wrong with a template, it doesn't affect one page. It affects ten thousand pages simultaneously. You need to know about that in hours, not weeks.

構築する内容

Proven at 91K+ Pages

Tara DA is live at 91K+ multilingual pages across 30 languages. NAS is running 137K pub listings. These aren't hypothetical architectures -- they're production systems we've shipped and maintained. The architecture scales from a few hundred pages to hundreds of thousands without hitting the thin-content trap, because the uniqueness guardrails are built in from day one, not patched in after Google complains.

Next.js + Supabase Architecture

Not every page type should be rendered the same way -- and getting this wrong costs you real performance. Frequently-updated pages use Incremental Static Regeneration so they stay fresh without full rebuilds. Stable pages use SSG for maximum performance. Edge caching handles global delivery. It's not a one-size-fits-all decision, and treating it that way creates either stale content or unnecessarily slow pages -- neither of which helps rankings.

Unique Schema Per Vertical

Schema isn't a checkbox. Product, Service, LocalBusiness, Event, Article -- the right type depends on what the page actually is. We validate every template's schema in Search Console before scaling. And we don't copy-paste identical markup across different template types, because that's how you end up with LocalBusiness schema on a product page and wonder why you're not getting rich results.

DataForSEO-Verified Template Targets

Every template targets query patterns that DataForSEO has verified with real volume, keyword difficulty, and SERP-feature data. Not gut feel, not "this seems like a good keyword," not hoping for the best. We know what the search volume is, what the SERP looks like, and whether there's a featured snippet or local pack opportunity before we build a template around a query pattern.

Internal Linking Automation

Internal linking at scale doesn't happen by accident. Related-item linking, breadcrumb architecture, hub-and-spoke structure -- all of this gets automated so every new page enters the site with proper link equity from day one. Not queued up waiting for someone to manually add internal links. Not orphaned. Connected from the moment it's indexed.

Engineering + SEO Combined Team

Here's a problem we've seen repeatedly: the dev team builds the site, hands it off to an SEO agency, and things fall through the cracks immediately. The agency wants canonical tags done a certain way; the dev team implemented them differently. The schema is almost right but not quite. Nobody's sure whose responsibility the sitemap is. We avoid this entirely because the same team builds the site and the SEO architecture. No handoff. No gaps.

私たちのプロセス

01

Architecture + Data Audit

Before we build anything, we audit what already exists -- current data sources, URL patterns, template opportunities, competitive landscape. The goal is mapping the actual programmatic opportunity: which query patterns have volume, which your competitors are exploiting, which data you already have that could power pages you're not ranking for yet. It's a proper discovery process, not a sales pitch dressed up as an audit.
Week 1-3
02

Template + Data Pipeline Build

Design phase is where the real decisions get made. Template architecture with proper schema, data pipeline construction, uniqueness guardrails baked into the template logic, and indexation architecture set up before a single page goes live. Getting this right at the design stage is infinitely easier than fixing it after you've generated 50,000 pages with structural problems.
Week 3-8
03

Pilot Launch + Quality Review

We don't launch everything at once. A pilot of 500-2,000 pages goes first -- monitored in GSC for indexation rate, checked for thin-content flags, tuned on uniqueness and quality signals. Only when the pilot confirms the template is passing Google's quality review do we scale. It's a slower start, but it's how you avoid launching 100,000 pages and discovering a structural problem three months later.
Week 8-12
04

Scale to Full Inventory

Once the pilot validates the architecture, scaling is engineering execution. Hundreds of pages become thousands, thousands become hundreds of thousands. But we're monitoring indexation rate, ranking distribution, and crawl-budget efficiency throughout -- because scaling amplifies any problems in the template, and you need to catch them early rather than at 80,000 pages.
Month 3-6
05

Ongoing Optimisation + Expansion

Programmatic SEO isn't a build-it-and-forget-it system. Templates evolve as SERP patterns shift. New data sources get integrated as they become available. Competitive gaps get identified and filled. Monthly template-level improvements compound over time -- which is why the clients running these systems for 18+ months outrank the ones who launched and walked away.
Month 6+
Next.js 15SupabaseVercelSchema.orgDataForSEOGoogle Search ConsoleGA4

よくある質問

What's the right architecture for franchise SEO?

The right franchise architecture isn't complicated, but almost nobody does it correctly. One master site with programmatic /locations/[city] pages -- not 60 separate WordPress installs. Per-location GBP managed centrally but calibrated locally. Federated content giving franchisees real authorship within guardrails. All domain authority concentrated in one property instead of fragmented across dozens of sites that none of them rank. That's the architecture. It's been proven across chains from 10 locations to 300+.

How do you prevent duplicate-content penalties across locations?

The difference between location pages that rank and location pages that get de-indexed comes down to genuine uniqueness. Not city-name swaps -- actual local content. Minimum word count enforcement, locally-specific content that references actual staff and real testimonials, service-area detail that means something to someone searching in that city, and locally-unique long-tail queries that reflect what people in that market actually search for. Each location page needs to be genuinely different. That's not a nice-to-have -- it's what determines whether those pages stay indexed.

How do you manage GBP at 50+ location scale?

GBP management at franchise scale requires a system. Centralised management with per-location configuration -- categories, hours, services, photos, posts, Q&A -- all handled from one place but calibrated to each location's actual details. Automated review requests from POS or CRM lift review velocity consistently. And quarterly per-location audits catch the drift that always happens: hours that changed, photos that went stale, categories that somebody misconfigured. Left unchecked, that drift costs local-pack rankings.

Can franchisees contribute content without breaking the model?

Yes -- and honestly, franchisee authorship is an underused advantage. Franchisees have local market knowledge that corporate can't replicate from headquarters. A federated content architecture gives them real permissions to author local content: which staff to feature, which local partnerships to mention, which neighbourhood-specific services matter. Templates and approval workflows keep it on-brand and SEO-compliant. Corporate retains control over what matters. Franchisees contribute the local intelligence that makes the pages genuinely useful -- and genuinely rankable.

What is the typical engagement cost?

Foundation and architecture runs $20-60K depending on the number of templates, data pipeline complexity, and how many locations we're building for. Ongoing retainer starts from $5,000/month. Enterprise franchise operations -- 100+ locations with multi-template architecture, GBP management, and continuous data pipeline work -- run $15-40K/month. These aren't fixed-price packages; scope determines cost, and we scope every engagement individually before quoting.

Fixed-Fee Engagements + Retainer
Architecture + initial generation: $25-80K. Ongoing retainer: from $5,000/mo. Enterprise multi-vertical: $20K+/mo.
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