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SEO Services
Enterprise niche volumeProven at 91K+ pagesEngineering-grade

マルチブランド・マルチロケーション SEO

あなたのポートフォリオブランドが静かにお互いのランキングを蝕んでいる

91K+
Pages Shipped
Tara DA at multilingual scale
137K
Listings
NAS directory at scale
Enterprise niche
Monthly Searches
Addressable via multi brand multi location seo
From $5K/mo
Retainer
Plus architecture build from $25K
What Multi-Brand SEO Actually Solves — And What It Won't

Your crawler hits five sibling sites and sees overlapping keyword targets, split authority, and no portfolio-level coordination. Multi-brand SEO fixes that — it's territory mapping at the portfolio level so your brands stop competing with each other. One brand owns travel insurance queries, another owns pet insurance, and your internal linking architecture reinforces that separation instead of undermining it. We've shipped this at 91K+ pages for Tara DA across 30 languages, 137K location pages for NAS UK, and dozens of portfolio builds where PE-backed roll-ups needed independent brand presentation with shared infrastructure efficiency. The architecture includes uniqueness guardrails per template — minimum word counts, entity-aware inserts, vertical-specific overlays — so your pages rank instead of triggering thin-content penalties. Most teams skip guardrails and wonder why Google de-indexed their programmatic build in six weeks. Your team won't, because we bake them into every template before the first page ships.

プロジェクトが失敗する理由

Brands within a portfolio will absolutely cannibalise each other's rankings if nobody's managing keyword territory at the portfolio level It happens constantly. Two sibling brands end up competing for the same queries, splitting authority, and neither one wins. Proper portfolio architecture means mapping which brand owns which query cluster from day one -- so you're not paying twice to rank for the same thing while both brands underperform.
Running separate agencies for each brand is expensive and honestly pretty wasteful You're looking at zero shared learning between brands, and typically 3-5x the cost compared to a unified portfolio engagement. The operational efficiency you capture by consolidating isn't marginal -- it's significant, especially across a 5- or 10-brand portfolio where those agency fees stack up fast.
Some PE-backed roll-ups need brands to look independent even when they're not That's a real constraint. The real kicker here is that shared infrastructure leaves fingerprints -- WHOIS data, DNS configurations, hosting environments, they all expose ownership links if you're not careful. Proper architecture keeps the infrastructure separated cleanly so you're capturing efficiency at the operational layer without creating crawler-visible signals that blow the brand-independence story.
When each brand's SEO performance is tracked in isolation, you're flying blind at the portfolio level You miss cross-brand patterns, you duplicate competitive research, and you can't spot when one brand's strategy is quietly working and should be applied elsewhere. Portfolio-level dashboards that compare brands side by side, shared competitive intelligence, and cross-brand pattern recognition -- that's what turns individual brand data into actual strategic insight.
Five brands, 100 locations each That's 500 locations. And without unified tooling across Google Business Profile management, review monitoring, content publishing, and performance tracking, it becomes completely unmanageable at scale. So the tooling isn't optional at that point -- it's the only reason the operation doesn't collapse under its own weight.

コンプライアンス

Engineering-Grade Architecture

Programmatic SEO is an engineering problem, not a content marketing problem. Template design, data pipeline architecture, uniqueness guardrails, indexation strategy, crawl-budget optimisation -- none of that gets built by a content team. It gets built by engineers who've shipped production systems and understand what happens when a pipeline breaks at 80K pages.

Content Uniqueness Guardrails

Thin content is the thing that kills programmatic builds. We prevent it through minimum word count enforcement per template, entity-aware content inserts that pull in specific data rather than generic filler, vertical-specific data overlays, user-generated content where it makes sense, and automated quality review before anything gets indexed. Pages have to pass that review. Simple as that.

Indexation at Scale

Shipping 50,000 pages doesn't mean Google indexes 50,000 pages. Most agencies ignore this -- and then act surprised when indexation sits at 30%. Crawl budget optimisation, internal linking architecture, sitemap structure, and canonical hygiene are what actually determine your indexation rate. And at scale, getting that from 40% to 80% is the difference between a project that works and one that doesn't.

Unique Schema Per Template

Every template we build emits proper Schema.org markup -- Product, Service, LocalBusiness, Event, Article, whichever actually fits the page type. And it gets validated in Search Console before we scale. Not after. Before.

Data Pipeline Freshness

Real programmatic SEO has a live data pipeline feeding templates continuously. Stale data produces stale rankings. So we build the ingestion and refresh pipeline alongside the templates -- not a one-time generation script that someone runs once and forgets about.

Monitoring + Iteration at Scale

We monitor GSC indexation across thousands of pages, track rankings through DataForSEO for pattern-level insights rather than individual keyword obsession, and set up automated alerts on template-wide ranking drops. Because when something breaks at scale, you need to know immediately -- not at the next monthly report.

構築する内容

Stop sibling brands from competing for identical query clusters

Each brand owns defined query territory with zero keyword overlap waste

Eliminate 3–5× agency cost duplication across your portfolio

Your portfolio SEO runs under one engagement instead of five separate retainers

Separate hosting fingerprints so brand independence holds under scrutiny

Infrastructure stays separated so WHOIS and DNS don't expose ownership links

Surface cross-brand performance patterns your isolated dashboards miss

Portfolio dashboards compare brand performance side by side with shared competitive intel

Manage 500+ locations without tooling that collapses under scale

Unified GBP tooling, review monitoring, and content publishing across all locations

Ship territory-mapped architecture before launch, not six months later

Internal linking reinforces brand separation automatically as new pages generate

私たちのプロセス

01

Architecture + Data Audit

We start by reviewing existing data sources, URL patterns, template opportunities, and the competitive landscape. The goal is mapping the full programmatic opportunity before writing a single line of code.
Week 1-3
02

Template + Data Pipeline Build

Then we design templates with proper schema, build the data pipeline, implement uniqueness guardrails, and set up the indexation architecture. This is the foundation -- and it's worth getting right before scaling anything.
Week 3-8
03

Pilot Launch + Quality Review

Before full scale, we launch 500-2,000 pilot pages, watch GSC indexation closely, tune uniqueness and quality signals, and confirm there are no thin-content flags. It's a pretty straightforward validation step, but skipping it is how teams end up with 50K pages and a manual action.
Week 8-12
04

Scale to Full Inventory

Once the pilot checks out, we scale -- from thousands to hundreds of thousands of pages depending on the project. And we keep monitoring indexation rate, ranking distribution, and crawl-budget efficiency as volume grows.
Month 3-6
05

Ongoing Optimisation + Expansion

After launch it's monthly template evolution, new data source integration, filling competitive gaps we've spotted, and improving rankings at the template level. SEO doesn't stop at launch. Or at least it shouldn't.
Month 6+
Next.js 15SupabaseVercelSchema.orgDataForSEOGoogle Search ConsoleGA4

よくある質問

マルチブランド SEO とフランチャイズ SEO の違いは何ですか？

フランチャイズ SEO は 1 つのブランドが複数の場所にあります。マルチブランドは多くのブランド、それぞれが多くの場所を持っています。アーキテクチャの課題は完全に異なるものです。ブランドの共食いを防ぐためのポートフォリオレベルのキーワードマッピング、運用上効率的に管理するための共有インフラストラクチャ、そして一部の PE 構造では、ブランド独立性が単なる好みではなく戦略的必要性となる所有権リンク非表示要件があります。

PE バックアップポートフォリオの所有権リンク非表示に対応していますか？

はい。実際の仕組みは次のとおりです。ツーリングと運用レベルでインフラストラクチャを共有します。GBP 管理、レビュー自動化、コンテンツガードレール。しかし、公開およびクローラー認識レベルで完全な分離を保ちます。別の WHOIS、DNS、ホスティング、所有構造を明かすであろうクロスドメインリンクなし。ブランドはクローラーに対して独立しているように見えます。運用効率は舞台裏でキャプチャされます。

クロスブランド共食いをどのように防ぎますか？

ポートフォリオレベルのキーワードマッピングとは、各ブランドが特定のクエリクラスターを所有することを意味します。共有またはオーバーラップする用語は、どのブランドがどのバリアントをターゲットするかを決定する意図的な戦略を取得します。これが、シスターブランドが同じクエリで権限を分割し、互いのランキングを損なうことを防ぐ唯一の方法です。

提供するポートフォリオレベルのツール機能は何ですか？

レポートと運用サイド：すべてのブランドをカバーする統一ダッシュボード（ランキング、インデックス作成、トラフィック、コンバージョン）。クロスブランドパターン認識を含む共有競合インテリジェンス。そして一元管理されたレビュー監視、GBP 管理、コンテンツガバナンス。各ブランドが独自のエンティティとして扱われるように適切に調整して適用されます。

標準的なエンゲージメントコストはいくらですか？

ポートフォリオアーキテクチャと初期構築は、ブランド数とロケーション数に応じて $60-200K です。継続的なリテーナーは月 $15,000 から始まります。大規模な PE ポートフォリオ（相当なスケール）は通常月 $50K 以上です。

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