Methodology

Transparent methodology for corporate web experience benchmarking.

The index evaluates observable public signals, not private systems or legal compliance guarantees.

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Scoring

Assessment dimensions and weights

Nine dimensions, 100 points in total. Weighting favours the areas where corporate estates most often carry unseen operational and experience debt.

Index dimensions and their weights
Code	Dimension	Weight
D1	Design & Brand ExperienceVisual coherence, art direction, hierarchy and how consistently the brand is expressed across templates.	10
D2	UX & Content ClarityNavigation logic, information architecture, readability and how quickly a visitor understands what the company does.	10
D3	Performance & Technical HealthField and lab loading signals, payload discipline, image handling, render stability and mobile behaviour.	15
D4	Accessibility & Inclusive ExperienceSemantic structure, contrast, keyboard reachability, focus visibility and reduced-motion behaviour observable in public pages.	15
D5	Cookie & Privacy ExperienceConsent interface clarity, pre-consent tag behaviour, preference granularity and the readability of privacy documentation.	10
D6	Technical SEO & AI DiscoverabilityIndexability, structured data, entity consistency and how well content can be parsed by search and AI answer engines.	15
D7	Maintenance & Update EfficiencyObservable content freshness, publishing cadence, template reuse and signals of editorial autonomy.	10
D8	Digital Operations & Cost OptimizationIndicators of duplicated effort, fragmented stacks and change-request friction that shape total operating cost.	10
D9	Multi-site GovernanceConsistency of standards, components and compliance patterns across subsidiary, country and campaign properties.	5
	Total	100

Scope

What we measure — and what we do not claim

What we measure

Page structure, landmarks and heading hierarchy on primary templates
Delivered payload, image handling and render stability signals
Consent interface clarity, choice symmetry and pre-consent tag behaviour
Indexability directives, structured data and entity consistency
Published content freshness, cadence and template reuse
Cross-property consistency of components, consent surfaces and standards

What we do not claim

Legal compliance with KVKK, GDPR or any other regulation
WCAG conformance level certification
Security posture, penetration testing or infrastructure assurance
Vendor or agency rankings of any kind
Internal cost figures, contracts or licence terms
A single 'best website' verdict — sector context always applies

Evidence model

Public signals vs self-assessment

Most of the index is observational. A small, clearly separated part depends on information only your team can provide.

Public signals

Everything a visitor, crawler or answer engine can observe without credentials: markup, delivered assets, consent surfaces, structured data, published content and cross-property patterns. These signals carry the majority of the score and are reproducible by any third party.

Self-assessment

Operational context — change-request handling, editorial autonomy, ownership of the estate — is collected through a structured questionnaire. Self-assessment inputs are always labelled in the output and are never used to overwrite observed signals.

Dimension detail

GEO / AI discoverability criteria

How well your published content can be retrieved, parsed and correctly summarised by search and AI answer engines.

Indexability: Crawl directives, canonical logic and render dependency of primary content.
Schema: Presence, validity and depth of structured data on key templates.
Entity consistency: Alignment of legal name, brand, locations and identifiers across properties.
AI-friendly content: Self-contained, factual passages that can be summarised without surrounding context.
Third-party source consistency: Agreement between the site and directories, registries and reference sources.
FAQ / guide structure: Question-shaped content that maps cleanly to answer-engine retrieval.
Brand visibility in AI answers: Whether answer engines describe the company accurately and completely.

Dimension detail

Maintenance and cost criteria

Observable proxies for how much effort it takes to keep a corporate estate accurate, consistent and current.

CMS trace: Publicly observable signals of the publishing system and template model.
Content update patterns: Recency and rhythm of published updates across sections.
Multi-site consistency: How much of the estate shares components, patterns and standards.
Design system signals: Repeatable components versus one-off page construction.
CR friction self-assessment: Structured questions on change-request handling, completed by your team.
Operational workload indicators: Signals of duplicated effort across teams, vendors and properties.

Disclaimer

Limits of this research

Scores are preliminary assessments based on publicly observable signals. They are not certifications.

No score constitutes legal, security, accessibility or compliance certification. Detailed audits require direct access and formal review.

Methodology contribution

The technical assessment framework has been developed with methodology contribution from Madebycat's enterprise web experience practice. Contributions are documented and do not influence how any organisation is described or scored.

External contributor profile: Madebycat on Clutch

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