Dimension
Acquisition Surface
Search-engine structure, crawl clarity, ranking readiness, and page-level discoverability.
Visibility Intelligence
re:score turns digital visibility into an auditable operating signal.
The application audits how a business appears across search, local, intelligence, content, social network, and brand surfaces..
Model
6 dimensions
Weighted visibility scoring across search, local, intelligence, content, network, and brand.
Outputs
Executive-grade
Summary, maturity model, recommendation tiers, and forward simulation.
Pro surface
Benchmarks + brand audit
Sector comparison, recommendation simulation, and multi-domain consistency analysis.
Decision logic
Deterministic core
Advanced algorithmic and intelligence driven suggestions.
Main Features
Six visibility layers, one executive report.
Dimension
Identity Layer
Business data accuracy and consistency across local profiles, maps, and directory surfaces.
Dimension
Interpretation Layer
How clearly intelligent systems can understand, classify, and represent the business.
Dimension
Knowledge Layer
Content depth, structure, and signal quality for both users and answer engines.
Dimension
Distribution Layer
Platform coverage, social consistency, and cross-channel presence quality.
Dimension
Perception Layer
Brand recognition, reference density, and the external trust surface around the entity.
Scope
What re:score covers today
- Website audit intake with one-click scoring from a submitted domain.
- Executive summary generation grounded in deterministic scoring outputs.
- Maturity radar and maturity-state progression across six visibility dimensions.
- Recommendation queue with impact, effort, category, tier, and outcome framing.
- Benchmark gap analysis against Life Sciences, Finance, Biotech, SaaS, and crypto archetypes.
- Scenario simulation showing projected score lift from selected remediation actions.
- Brand discovery and multi-domain consistency auditing for broader brand surfaces.
re:score
Turn visibility scoring into a buyer-facing, benchmarked operating system
Use re:score when you need more than a one-off audit: executive narrative, benchmark context, brand-surface coherence, and a prioritized remediation path.
FAQ
What is re:score for?
re:score is built to evaluate how visible, understandable, and trusted a business is across search, local, intelligence, content, network, and brand surfaces.
What does the six-dimension model measure?
It measures acquisition, identity, interpretation, knowledge, distribution, and perception so teams can see where visibility is structurally strong or constrained.
How does re:score move beyond a simple audit?
The application combines scoring, executive summary generation, maturity framing, action prioritization, benchmark comparison, and score simulation into one operating surface.
What is the brand audit used for?
The brand audit discovers related domains and measures whether a brand surface is coherent or fragmented across multiple web properties.
Who should use re:score?
It is suited to marketing, growth, brand, visibility, and leadership teams that need a more structured way to turn digital presence into auditable action priorities.