Individual business profile
G
Anonymized entity
Barcelona · Selected category
82/100
Knowledge readinessIllustrative score
Completeness84
Freshness72
AI visibility91
Match confidence68
Data licensing + partnerships
Local business knowledge,
ready to be used responsibly.
The Ground Truth Index is building a comparable, provenance-aware measurement layer for organizations that need to understand local commerce at business, category, neighborhood, and city scale.
A developing data asset
From scattered records to decision-ready local insight.
Local business data is often abundant but difficult to trust. Names, categories, locations, operating details, digital presence, and verification signals may be incomplete, stale, inconsistent, or restricted by source terms.
GTI turns approved signals into documented measures with scope, observation dates, confidence, and methodology versions attached. Licensing will begin selectively as coverage and publication safeguards mature.
Illustrative analytical views
See the market. Understand the entity. Answer the question.
A commissioned engagement can connect business-level records to category, geographic, and market context—then turn that evidence into a client-specific output.
GTI / Intelligence workspaceDemonstration · not current findings
Custom cohort comparison
Performance in context
Selected entity82
Peer cohort64
Area benchmark57
Market baseline48
050100
Geographic intelligence
Entity coverage surface
Business-level observations can be grouped by an agreed neighborhood, district, postal code, city, or market boundary.
Observed entityPriority signalCoverage gap
01Approved data→
02Custom AI analysis→
03Decision-ready output
The measures, fields, thresholds, comparisons, and deliverable format are configured for the approved client use case.
High-level provenance framework
How signals become accountable knowledge.
GTI does more than collect records. Each engagement organizes permitted signals into traceable entities, evaluates the evidence, assigns a clear knowledge status, and prepares governed outputs for the approved purpose.
GTI / Knowledge provenance engineControlled analytical framework
01Collect + scope
Source signals
Permitted public, open, partner, client, and field-observed inputs02Resolve + compile
Entity resolution
Normalize, match, de-duplicate, and connect signals to the correct business03Review + classify
Evidence review
Assess provenance, observation date, consistency, completeness, and conflicts04Status + verify
Knowledge status
Separate observed and inferred information from facts verified through an applicable process05Package + deliver
Governed output
Deliver approved records, measures, analysis, and decision-ready intelligenceObservedCaptured from an identified source
InferredDerived and labeled through analysis
VerifiedConfirmed through an applicable verification process
Controls carried with the output
01Scope02Provenance03Observation date04Confidence05Knowledge status06Method version
High-level representation only. Exact sources, matching rules, scoring weights, review criteria, AI instructions, and operational controls vary by engagement and are not disclosed here.
Who it can serve
One knowledge layer. Several serious uses.
Platform and AI teams
Improve entity understanding, geographic coverage, data freshness analysis, and the evaluation of local-business knowledge systems.
Cities and associations
Benchmark digital inclusion, identify knowledge gaps, compare categories or districts, and measure change over time.
Researchers and media
Use documented measures, scope notes, and time-stamped findings for analysis, reporting, and public-interest research.
Enterprise partners
Commission category, market, or geographic studies aligned with a defined business or planning question.
Potential licensed outputs
Structured around the question—not a generic data dump.
Depending on scope, rights, maturity, and intended use, an engagement may include business-entity coverage, geographic and category benchmarks, aggregate Index measures, freshness and provenance fields, verification-status signals, time-series movement, research tables, or a custom study.
- Completeness, freshness, consistency, AI visibility, and verification measures
- Business, category, neighborhood, and city-level analysis
- Documented field definitions, observation dates, and methodology versions
- Raw or analysis-ready CSV and JSON files matched to the approved use case
- Custom research or AI-assisted analysis for a defined geography, category, or question
Measurement granularity
From one business to an entire market.
Engagements can be designed at the most useful level of detail, including individual business entities—not only citywide averages.
Individual business
Approved record-level identity, location, category, observation, verification-status, provenance, and analytical fields for a specific business.
Custom segment
A defined portfolio, client list, business type, category, chain, competitor set, or other purpose-built group.
Neighborhood or district
Granular geographic analysis by neighborhood, district, postal code, corridor, or another agreed boundary.
City or multi-market
Comparable category and place-level views across a city, a group of cities, or a commissioned expansion market.
Business-level availability depends on the approved use, applicable source rights, privacy requirements, and the maturity of the requested fields. Aggregate findings can be supplied when record-level redistribution is not appropriate.
Flexible delivery
Use the data your way—or ask us to help interpret it.
Data for your own systems
License an approved raw or analysis-ready dataset with documented fields, provenance, observation dates, scope notes, and usage terms. Your team can load it into its own analytics, mapping, research, or AI environment.
Custom AI-assisted analysis
Add a purpose-built analysis layer for the questions your organization needs answered. We can configure AI modules around agreed instructions, evaluation criteria, classifications, comparisons, summaries, and structured outputs—then deliver the results as fields, tables, files, or a decision-ready report.
Private by agreement. Designed around the use case.
Client-provided inputs, custom instructions, evaluation logic, and resulting outputs can be treated as confidential and proprietary under the engagement agreement. Each workflow is scoped and tested for the project; it is not represented as a universal model, guaranteed prediction, or unrestricted automated decision system.
Responsible by design
Licensing must preserve trust.
We do not treat access to a source as permission to redistribute it. Any licensed output will respect provider terms, privacy obligations, provenance, correction procedures, and the distinction between observed, inferred, and verified facts.
Restricted provider fields, private operational records, draft research, and unsupported claims are excluded unless a specific lawful basis and agreement permit their use.
Start with the use case
Tell us what you need to understand.
Share the geography, category, decision, delivery format, and timeframe you have in mind. We will tell you candidly what is available now, what is in development, and what would require a custom study.
Discuss data licensing