Manufacturing Websites: Technical Catalogues, RFQs, ERP Integration and SEO

A buyer searches your website using a replacement-part reference. A second prospect wants a batch manufactured from a drawing. A third is evaluating whether your processes, materials and inspection capabilities fit a new programme. A factory video might interest all three. It cannot replace an identifiable specification, a current document or a dependable route into technical review.

A manufacturing website must connect published product information to engineering and commercial decisions without confusing them. This guide is for standard-product manufacturers, build-to-print suppliers and industrial solution providers. The component, figures and designs are illustrative; they are not undisclosed TankDev client results, measured factory capacity or a sales-uplift claim.

1. Design for the buying task, not just the company brochure

An RFQ is a request for quotation, not a firm price, purchase order or allocation of production capacity. A standard-product business may have a defined price rule. A custom job may depend on drawing interpretation, material, finishing, tolerances, batch size and delivery conditions. Giving every visitor the same generic contact form conceals those differences.

Structure navigation around real decisions: products, manufacturing capabilities, quality/documentation, applications and quotation requests. A question such as “Can you machine this component?” needs more than a photograph of a machine. The buyer should understand the verified scope, what must be reviewed and how to start that review.

2. Separate capability, capacity and quality evidence

Capability concerns work you can perform. Capacity concerns what the operation can allocate under particular conditions and at a particular time. A machine list does not establish that a customer’s part can be produced next week. Do not turn an undated monthly capacity figure into a current delivery promise. Give engineering and planning explicit approval responsibilities for the claims the site publishes.

ISO’s explanation of ISO 9001 concerns a quality management system and independent certification assessment. Do not equate a management-system certificate with proof that a specific component meets every technical requirement. Explain scope and currency beside the certificate, and do not publish customer or audit files without permission.

3. Replace the PDF-only catalogue with governed product data

ProductFamily(id, category_id, public_key)
ProductModel(id, family_id, manufacturer_part_number, lifecycle)
ProductRevision(id, product_model_id, revision_code, approval_state)
TechnicalAttribute(revision_id, property_key, numeric_value?, text_value?,
                   unit, method_or_condition?, source_document_id)
ProductTranslation(revision_id, locale, slug, approved_copy)
Document(id, revision_id, kind, content_hash, access_level, status)
Capability(id, process, verified_scope, reviewed_at, publication_approval)
PublicAvailability(product_id, source_version, observed_at, status)
Rfq(id, organization_scope, state, assigned_team)
RfqLine(id, rfq_id, revision_id?, requested_quantity, quantity_unit,
        approved_spec_snapshot, drawing_file_id?, drawing_hash?)
RfqRequest(organization_scope, idempotency_key, request_hash, rfq_id)
IntegrationDelivery(rfq_id, external_reference, state, attempt_count)
Outbox(event_id, aggregate_id, event_type, payload)

Internal SKU != manufacturer part number != customer/OEM reference != GTIN.
Public technical data != negotiated price != production schedule.
Specification revisions and translation approvals are explicit.

Separate the product model, its technical revision and individual commercial or production records. A translated title may change while the integration identifier remains stable. An engineering revision is more consequential than a copy edit: an enquiry raised against yesterday’s drawing must not silently become a request for today’s dimensions. Public specifications and negotiated prices should not share an unrestricted API response.

Keeping “50 mm” as unrelated free text in each language makes filtering and validation fragile. Store the numeric value, unit, property key and any relevant measurement/application condition separately, then localise the display. Do not derive tolerances or compatibility from a nominal dimension. Preserve unknown or awaiting-approval states rather than treating missing data as zero.

A PIM or approved product source may own the publication view, an ERP commercial records, and a quality system relevant approvals and documents. One application may perform several roles. What matters is the field-level authority and review process, including which source wins when records disagree—not the number of software products in the architecture.

4. Keep part-code search separate from compatibility decisions

An industrial buyer often arrives with an identifier rather than a description. Store manufacturer part numbers, internal SKUs, customer references and approved superseded-code mappings separately. Normalising spaces or hyphens can help, but must not collapse genuinely different references. GS1 describes a GTIN as a trade-item identifier; it is not simply another name for your internal code. Do not fabricate missing identifiers.

• Start with exact manufacturer/part references and approved legacy-code mappings.
• Apply structured material, dimension, series and application filters independently.
• Explain spelling suggestions rather than silently substituting a similar reference as an exact match.
• Show OEM/interchange relationships only when verified with a defined scope. Text similarity or vector proximity is not proof of interchangeability.

AI-assisted search can help turn an application description into product candidates. It must not invent dimensions, certifications or compatibility. Ground explanations in the returned approved record and offer technical review when the evidence is insufficient. Our business web application guide covers general retrieval architecture; the manufacturing boundary is preventing a similar-looking component from becoming an unsupported engineering recommendation.

5. Capture exactly which specification an RFQ refers to

{
  "example_only": true,
  "intent": "request_for_quotation",
  "product_reference": "PLATE-50",
  "requested_revision": "B",
  "quantity": {
    "value": 500,
    "unit": "piece"
  },
  "specification_snapshot": {
    "width": {
      "value": 50,
      "unit": "mm"
    },
    "nominal_thickness": {
      "value": 6,
      "unit": "mm"
    },
    "material": "aluminium",
    "finishing": "requires_engineering_confirmation"
  },
  "drawing": {
    "private_file_id": "example-file-42",
    "sha256": "<verified-file-digest>",
    "review_status": "pending"
  },
  "requested_delivery": {
    "destination_country": "DE",
    "date": "<requested-date-not-a-promise>"
  },
  "result": "enquiry_received_not_a_binding_quote"
}

An RFQ line needs more than a link that can change later. Preserve the model/revision identity, requested quantity and unit, a snapshot of the approved specification, the drawing reference/digest and the request revision. A future catalogue update should not erase what the buyer originally asked you to assess. Keep the buyer’s requested delivery date separate from a date your operation has accepted.

The pseudocode below illustrates an enquiry against an approved catalogue revision. A drawing-led custom job need not have a catalogue product ID; preserve its drawing and process-request revision instead. Files whose safety checks are incomplete stay pending rather than becoming available for ordinary technical review.

# Architectural pseudocode, not a completed ERP connector.
with db.transaction():
    previous = admit_request(scope, idempotency_key, request_hash)
    if previous:
        return same_receipt_or_409(previous, request_hash)
    revision = load_approved_public_revision(product_id, revision_id)
    require_quantity_and_unit_are_valid(quantity, quantity_unit)
    attachment = verify_private_upload_owner(file_id, requester_scope) if file_id else None
    if attachment:
        require_scan_is_accepted(attachment)
    rfq = create_rfq(
        immutable_spec_snapshot=revision.public_specification,
        quantity=quantity, unit=quantity_unit,
        drawing_hash=attachment.verified_hash if attachment else None,
    )
    bind_request_receipt(scope, idempotency_key, rfq.id)
    write_outbox("rfq.received.v1", {"rfq_id": rfq.id})
# Concurrent admission: unique(scope, idempotency_key).
# On conflict: rollback, load original request, compare payload hash.
# Engineering review and remote CRM/ERP calls happen outside this transaction.
return receipt(rfq.id, state="received")  # Not "priced" or "capacity booked".

# A later catalogue revision never silently rewrites an accepted RFQ.
# If the buyer changes the drawing, record a new RFQ revision and re-review.

Issue a durable receipt when the request is accepted. Engineering review, clarification, commercial pricing and a quotation sent to the buyer are different states. A form disconnected from production planning cannot truthfully report “capacity booked”. When a quotation changes, preserve which revision supersedes previous PDFs and messages.

Use an idempotency key to recognise a repeated submission without merging a real new request for a different part or drawing. A transactional outbox connects local acceptance to later CRM/ERP delivery. The remote system still needs an idempotency/external-reference contract and reconciliation of uncertain outcomes. See our integration guide for the underlying reliability patterns.

6. Protect drawings and technical uploads

Customer drawings can contain commercially sensitive information. Do not turn an upload into a publicly accessible web-root file. Bind it to the correct organisation and RFQ, checking authority on every read. An expiring download link is not the whole access model: decide who may obtain that link, for which record, and under which publication and retention state.

OWASP’s upload guidance combines controls such as allowlisted types, size limits, generated filenames and suitable storage. Do not trust only the extension or browser Content-Type. Plan quarantine, malicious-file checks and, where necessary, an isolated preview worker. Do not automatically process arbitrary CAD/PDF input with unrestricted application-server privileges.

A replacement drawing needs a new file revision and a renewed review relationship. The sales team’s downloaded attachment should not be confused with the current portal version. A public datasheet, a customer drawing and an internal costing document have different access classes. They should not all enter the same public media gallery.

7. Define the boundary between ERP data and public promises

Technical descriptions may tolerate long-lived caching; stock and account prices need different policies. Displayed availability can be a read model, while order acceptance requires an authoritative check. Track source version, last synchronisation and reconciliation. When data becomes stale, use a clear enquiry/confirmation path. A shared cache must not reveal one buyer’s negotiated price to another.

No stock does not necessarily mean the part cannot be manufactured. Stock on hand does not necessarily mean the requested shipment date can be met. Batch size, material sourcing, process sequencing and inspection can affect the decision. Do not compute those commitments from a marketing field. A truthful quotation request is preferable to a supposedly real-time promise without an operational connection.

8. Make technical content discoverable across export markets

A language change must not change the underlying product identity or source revision. Localise titles, explanations, document languages and presentation. If units are converted, preserve the source value, appropriate precision and engineering approval. Do not translate the part code into a different identifier. Turkish body copy under an English URL does not meet an international buyer’s need.

• Publish readable HTML, distinct metadata, one descriptive H1 and relevant technical tables on product/capability pages; do not confine essential facts to a PDF.
• Give genuine language versions their appropriate self-canonical URLs, reciprocal hreflang and consistent sitemap entries.
• Do not index every combination of dimensions, material, series and sorting. Select category pages with genuine search intent and useful content.
• Explain discontinued products and drawing revisions. Link to a documented successor where appropriate, without assuming unverified interchangeability.

Google’s faceted navigation guide, canonicalisation methods and localised-page guidance address different issues. A canonical is not a command that fixes an unlimited filter space. Excluding a distributor portal or quotation document from indexing also does not replace access control.

9. Use ProductModel markup without inventing commercial facts

ProductModel is a vocabulary type for a model/datasheet description. It can link to the manufacturer’s Organization record. Prefer a specific schema property where one exists; use PropertyValue for a characteristic without a suitable dedicated field. The manufacturer and component below are fictional, with dimensions that belong to this illustrative description only.

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://factory.example/#manufacturer",
      "name": "Example Manufacturing",
      "url": "https://factory.example/en/"
    },
    {
      "@type": "ProductModel",
      "@id": "https://factory.example/#plate-50-rev-b",
      "name": "Example PLATE-50 specification, revision B",
      "url": "https://factory.example/en/products/plate-50",
      "mpn": "PLATE-50",
      "manufacturer": {
        "@id": "https://factory.example/#manufacturer"
      },
      "material": "Aluminium",
      "width": {
        "@type": "QuantitativeValue",
        "value": 50,
        "unitText": "mm"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "Nominal thickness",
          "value": 6,
          "unitText": "mm"
        }
      ]
    }
  ]
}

This sample is displayed as code, not injected as a real manufacturer or product on the TankDev article. It contains no price or GTIN because unknown values have not been invented. A production implementation must keep the part reference, material, dimensions and revision consistent with visible information. Vocabulary validity and eligibility for a particular Google product presentation are different matters.

Google’s product-snippet documentation sets requirements including a name and an appropriate offers/review/aggregateRating property. Do not manufacture a zero price or a review for a quotation-only product. Without genuine applicable data, a particular rich-result requirement may remain unmet. The general policies do not guarantee display either.

10. Help assistants understand your manufacturing business

The business whose visibility matters here is your manufacturing company. TankDev is the software provider building the supporting system. Useful, verifiable information explains the products/processes you support, the evidence, the currency of documents and how a buyer can request assessment. Repeating “leading manufacturer” does not supply those facts.

SEO covers discovery, indexing eligibility and relevance to the searcher’s task. GEO work examines information and source representation in generated answers. A brand mention, a citation and a supplier recommendation are different observations. Google’s AI guidance says established SEO applies to its features and no special file/schema is required; do not assume every assistant makes identical source choices.

• Keep the official manufacturer/company name, domain, real facilities and contact information consistent.
• Describe approved capability, product and quality scope; do not add customer logos or documents without permission and evidence.
• Make the connection between part references, revisions, technical tables and source documents clear.
• Observe realistic buyer questions by process/product/market, recording platform, search mode, date, language, cited URL and answer context.

Our SEO/GEO case study on TankDev’s own website documents our technical approach, not a manufacturing-client result. For indexing fundamentals, see our Google visibility guide. No website foundation can guarantee a recommendation of your manufacturing company by a particular assistant.

11. Choose a catalogue platform and a realistic package scope

A template is not automatically slow or insecure, and bespoke code is not automatically fast. Present readable technical summaries before loading large CAD/3D previews on demand. Core Web Vitals good thresholds are LCP ≤ 2.5 seconds, INP ≤ 200 milliseconds and CLS ≤ 0.1, assessed at the 75th percentile. A laboratory score is not the buyer’s field experience or a quotation win rate.

As checked on 8 November 2026, the English packages list Essential from $1,000 and Advanced from $3,000. The Turkish offer lists TRY 50,000 and TRY 150,000 starting prices. These are separate market offers, not exchange-rate conversions. Agree catalogue/page volume, languages, data preparation and custom integrations in the proposal.

Essential can be a starting point for a manageable website explaining products and manufacturing capabilities accurately. Advanced adds identity, profile and AI-visibility observation work. Neither is an automatic ERP implementation, an engineering calculation engine or a guarantee of export customers. Compare the package features, then choose modules around the actual workflow.

12. Measure RFQ quality and operational follow-through

Invented monthly RFQ example:
120 durable enquiries -> 45 qualified technical/commercial requests
Assumed channel spend: $4,500
Channel cost per enquiry: $4,500 / 120 = $37.50
Channel cost per qualified request: $4,500 / 45 = $100
Development, operation and engineering-review costs are excluded.
Assess order outcomes against the same matured enquiry cohort later.

Define qualification first: process/product fit, sufficient technical information, a meaningful quantity/unit and contact details that permit follow-up may be useful criteria. Separate a download from an RFQ, and a clicked button from a durable receipt. Where technical review takes time, do not equate requests received this month with old enquiries that happen to close this month.

• Part-code searches with no result or an incorrect match; filters used and document access.
• RFQs lacking sufficient technical information; time to initial engineering response and commercial quotation.
• CRM/ERP delivery failures, duplicates and requests awaiting resolution of uncertain outcomes.
• Unauthorised file-access attempts and work against obsolete drawing revisions.
• Quotations and orders from a matured cohort, segmented by market, product and acquisition source.

13. Prepare a useful brief and acceptance criteria

Bring sample product data, an approved datasheet, process scope, the current ERP/PIM/CRM names and two real RFQ journeys to a discussion with TankDev. Describe your manufacturing website requirements. Agree which information is public, who approves it and which team owns the enquiry at the end of the process.

• Catalogue: verify units, revisions, internal/manufacturer/OEM reference distinctions and translated technical equivalents.
• RFQs: test repeat submission, a new drawing revision, invalid quantities/units and a reference to another customer’s file.
• Integration: test status lookup/reconciliation when a CRM/ERP response is lost rather than blind resubmission.
• Publishing: test stale availability/lead-time information, withdrawn documents and unapproved translations.
• Operation: define file permissions, restore testing, source/account handover and the support owner.

Sources and limits

Sources and package information were checked on 8 November 2026. Manufacturer/component names, RFQ data and costs are fictional. Code illustrates architecture rather than a tested production/ERP application or an engineering suitability assessment.

• Schema.org: ProductModel
• Schema.org: PropertyValue
• Google: product snippets
• Google: structured data policies
• GS1: what is a GTIN?
• ISO: ISO 9001 explained
• OWASP: file upload
• AWS: transactional outbox
• Google: faceted navigation
• Google: localized page versions
• Google: canonical URLs
• Google: AI features
• Web Vitals