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SEO
Manufacturing SEOB2B Lead GenerationTechnical Content

製造企業向けSEO

あなたの製品カタログは、オンラインで調査している84%のエンジニアに見えていません

540%
Search Traffic Growth
Documented manufacturing case study
84%
Buyers Start Online
B2B manufacturing research
95+
Lighthouse Score
Every page we ship
400%
Page-One Growth
For manufacturing clients
What Manufacturing SEO Actually Fixes — And What It Doesn't Touch

Your spec sheet PDF hits Google's crawler and dies. Your procurement buyer searches an exact part number and lands on a competitor's HTML page instead. Manufacturing SEO rebuilds your digital catalogue so the engineers who vet vendors for six months before an RFQ actually find your business. That means crawlable product pages with filterable specs, distributor locators that rank for regional queries, and ungated whitepaper previews that pull in qualified leads. You're not competing for attention — you're competing for consideration during the research phase your team never sees. If your catalogue pages are thin duplicates or your case studies hide behind forms, you're bleeding pipeline to manufacturers who built their content infrastructure correctly. This isn't blog-driven B2B SEO. It's technical catalogue architecture, schema markup for AI overviews, and intent mapping across an 18-month buying cycle.

プロジェクトが失敗する理由

Product catalogue pages are thin, duplicate, and invisible to Google Meanwhile, competitors with properly optimized spec pages are capturing 84% of buyers who start their research online.
Long sales cycles make SEO ROI nearly impossible to attribute cleanly Marketing budgets get cut because leadership can't draw a line between organic traffic and actual pipeline.
Technical specifications live in PDFs that search engines can't index properly When an engineer searches for an exact part number or a specific tolerance, they land on your competitor's HTML spec page — not yours.
Distributor and dealer locator pages do nothing for your SEO Regional search traffic flows straight to your distributors' own sites, and you lose both visibility and brand control in the process.
Whitepapers and case studies sit behind forms with no organic entry point If you've got no top-of-funnel content, you're invisible during the 6-18 month research phase — which is exactly when buyers are deciding who makes the shortlist.
There's no structured data for your products, specs, or company info AI tools like ChatGPT and Google AI Overviews can't parse what you offer, so they don't recommend you. It's that simple.

コンプライアンス

Product Schema Markup

We implement structured data for every product, specification, and material property. Search engines and AI systems can read your catalogue like a database, not a marketing brochure.

Technical Spec Indexation

PDF specs get converted to crawlable, structured HTML pages with proper canonical tags and internal linking. Every tolerance, material grade, and dimension becomes searchable.

Distributor Network SEO

Dealer locator pages get rebuilt with local schema, unique content per region, and proper geo-targeting. Your brand controls the SERP — not your channel partners.

Lead Attribution Pipeline

Server-side event tracking connects organic visits to CRM pipeline stages across 6-18 month sales cycles. You can actually show the C-suite revenue data, not just traffic numbers.

AI Search Optimization

Content gets structured specifically for Google AI Overviews and ChatGPT recommendations. When procurement teams use AI tools to research vendors, your products show up alongside — or ahead of — competitors.

BOFU Keyword Architecture

Bottom-of-funnel pages target high-intent queries like '[material] supplier [region]' and '[process] manufacturer ISO certified'. These pages are built to convert, not just rank.

構築する内容

Product pages generate zero organic traffic because they're duplicate content across SKU variations

Faceted catalogue architecture with unique content per product line and internal linking that concentrates authority where conversion happens

Technical specifications live in PDFs that search engines ignore completely

Ungated whitepaper landing pages with structured previews that rank for technical queries and capture engineer contact info at decision time

Distributor locator tools do nothing for your visibility in regional searches

Templated case study system with industry schema and quantified results that feed topical authority without custom rewrites

Whitepapers sit behind forms with no entry point for engineers researching anonymously

Programmatic distributor pages with local business markup and regional keyword targeting across every territory you serve

Case studies lack structure and internal links that build topical authority

Intent-mapped content hubs that span awareness-stage educational queries down to RFQ-stage comparison pages

Site performance breaks under catalogue weight and bleeds Core Web Vitals rankings

Next.js static generation that delivers sub-second load times on catalogue pages with thousands of SKUs

私たちのプロセス

01

Technical Audit & Keyword Mapping

We crawl your current site, find the indexation gaps in your product catalogue and spec sheets, and map every relevant search query across your buyer journey — from first awareness to RFQ submission.
Week 1-2
02

Information Architecture & Schema Design

We design the URL structure, internal linking model, and structured data schema for your products, specs, distributors, and content assets. Everything else gets built on top of this.
Week 2-3
03

Content & Page Development

Product pages, spec sheets, case studies, whitepaper landing pages, and distributor locators get built in Next.js with Sanity CMS so your team can manage them. Every page is built for both search and conversion.
Week 3-8
04

Lead Attribution & Analytics Setup

Server-side tracking, CRM integration, and custom dashboards connect organic traffic to pipeline stages. You'll see which keywords are generating qualified leads — not just clicks.
Week 8-10
05

Launch, Monitor & Scale

We launch, monitor indexation and rankings, and kick off the ongoing content program — publishing technical content that compounds organic traffic month over month.
Week 10+
Next.jsSupabaseVercelSanity CMSAlgoliaGoogle Search ConsoleSchema.org

よくある質問

製造業SEOで成果が出るまでどのくらいかかりますか?

ほとんどの製造企業は3~4ヶ月以内に実際のランキング改善が見られ、意味のあるリード生成は6~12ヶ月間のどこかで起こります。実際のタイムラインは、サイトの現在の権威、業界の競争度、対応が必要な製品ページ数によって異なります。インデックス登録、インプレッション、クリック率など、1週目からの先行指標を追跡するため、待機中に推測することなく済みます。

数千SKUを持つ製品カタログを最適化できますか?

はい。Next.jsでプログラマティックページ生成を使用して、各製品の一意のクローラブルページを作成します — 構造化仕様データ、内部リンク、適切なカノニカルタグなど、すべてです。WordPressまたはレガシープラットフォームで実行するパフォーマンスの問題なく、数万SKUまでスケーリングします。すべてのページが独自のインデックス可能なURLとスキーママークアップを取得します。

PDF内の技術仕様のSEOにどう対応していますか?

PDFから仕様データを抽出し、検索エンジンが実際にクロールしてインデックス登録できる構造化HTMLページを構築します。各仕様ページには、寸法、公差、材料、認定資格など、関連するもののスキーママークアップが付きます。PDFはダウンロードとして利用可能なままですが、コンテンツはGoogleが検索できるウェブ上に存在し、エンジニアが正確なパート番号を検索するとき、実際にあなたのページに着陸できます。

ローカルでランク付けされる流通業者ロケーターページを構築しますか?

はい。各流通業者地域の一意のページを生成します — ローカルビジネススキーマ、地域キーワードターゲティング、その市場に固有のオリジナルコンテンツ、埋め込み地図。これは、流通業者独自のウェブサイトがあなたのブランドを地域検索でアウトランクするのを防ぎ、購入者の最初の印象をあなたが管理したままにします。

長いB2B販売サイクルにおいてSEOリードをどう帰属させますか?

販売サイクルが6~18ヶ月実行されても、最初のオーガニック訪問をCRMパイプラインステージに接続するサーバーサイドトラッキングを設定します。キーワードクラスターがSQLと売上をもたらしているかを確認できます — セッションだけではなく。データはCRMに直接フィードされるため、営業とマーケティングは同じ帰属モデルから機能します。

製造業SEOと通常のB2B SEOの違いは何ですか?

製造業SEOは別物です。技術製品カタログ、仕様書、流通業者ネットワーク、エンジニアや調達専門家である買い手を扱っています — あなたのコンテンツが曖昧または不正確な場合、すぐにわかる人々。キーワードの風景は高度に特殊化され、販売サイクルは長く、コンテンツは技術的に信頼できる必要があります。ほとんどの一般的なB2B代理店は公差コールアウトが何かを知らず、ましてやそれを中心にどのように書くかを知りません。

Manufacturing SEO from $8,000
Fixed-fee build. 30-day post-launch support. Ongoing retainers available.
See all packages →
Next.js DevelopmentCore Web Vitals OptimizationCore Web Vitals: Complete Guide 2026

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