What is continuous foot-traffic ingestion for franchise development — and what is the sensitive-geolocation-times-FDD-Item-19 substantiation problem distinctive to this skill?

A multi-unit franchise + multi-location service brand operator depends on continuous foot-traffic data to inform franchise-development site selection (where to open + acquire + close + remodel + relocate + transfer + franchise + license + master-franchise + sub-franchise). Mobility-data vendors (Placer.ai + SafeGraph + Foursquare + Veraset + Cuebiq + Near + Reveal Mobile + Unacast + Gravy Analytics + Onemata) ship per-tenant flat aggregated visit-count primitives derived from mobile device-IDs + opt-in SDK data + Wi-Fi access points + BLE beacons + cellular MNO data. The four-skill bundle on the franchise-development agent — Ingest, Resolve, Enrich, Audit — sits above the 10+-vendor mobility-data substrate and writes a per-trade-area canonical record. The operationally distinctive anchor: CCPA 1798.140(v)(1) + CPRA classify precise geolocation as sensitive personal information requiring opt-in. Washington MHMDA 2024 + Texas SCOPE Act 2024 + per-state biometric (Illinois BIPA + Texas CUBI + Washington biometric) impose additional constraints when foot-traffic data derives from device-ID at health/wellness facility or biometric proxy. Apple App Tracking Transparency iOS 14.5 IDFA opt-in plus Google Privacy Sandbox change the supply of mobile-location data. FDD Item 19 Financial Performance Representation requires Pfizer 1972 substantiation when foot-traffic data substantiates franchise revenue claims to franchisee prospects.

Why do Placer.ai + SafeGraph + Foursquare + Veraset + Cuebiq + Near + Reveal Mobile break at franchise-development scale with privacy + FDD substantiation overlay?

Each mobility-data vendor ships a per-tenant flat aggregated visit-count primitive: a franchise developer logs in, sees a trade-area dashboard, exports a CSV. None resolves cross-vendor identity-resolution across Placer.ai (weekly refresh + k=5 anonymization) + SafeGraph (monthly + daily aggregation) + Foursquare (quarterly) + Veraset (daily) with per-vendor differential privacy + k-anonymity + l-diversity reconciliation. None enriches per-trade-area with geographic taxonomy (ZIP + Census Tract + Block Group + Place + County + MSA + DMA + Drive Time + Drive Distance + Custom Polygon + Esri Demographics). None gates per-trade-area against the 5-anchor regulatory overlay (CCPA/CPRA sensitive-personal-information precise-geolocation + Washington MHMDA + Texas SCOPE Act + BIPA/CUBI + 18-state privacy + Apple ATT + Google Privacy Sandbox + GDPR Article 9 + EU AI Act Article 22 + FDD Item 19 FPR substantiation + ECOA disparate-impact). None writes a per-trade-area audit trail with FDD Item 19 substantiation chain for franchise-prospect disclosure. The four-skill bundle Ingest + Resolve + Enrich + Audit sits above the mobility-vendor surface — it does not replace it.

How does Ingest + Resolve work across 10+ mobility-data vendors?

Ingest runs per-portfolio per-banner per-trade-area concurrent polling across the mobility-data substrate: Placer.ai weekly refresh + SafeGraph monthly + Foursquare quarterly + Veraset daily + Cuebiq + Near + Reveal Mobile + Unacast + Gravy Analytics + Onemata + Spire Global + cellular MNO (AT&T Boost + Verizon Business Intelligence + T-Mobile Customer Analytics + Vista Insights) + Google Mobility Reports + Apple Mobility Trends + Foursquare Pilgrim SDK + Adsquare + Tamoco + Mobilewalla mobile-SDK + Aruba/Cisco Meraki/Purple WiFi/Cloud4Wi venue Wi-Fi + StreetMetrics/Bluedot/Gimbal/Estimote/Kontakt.io/Beaconstac/Radius Networks BLE. Per-vendor source attribution + per-vendor data-license + per-vendor data-source-attestation + per-vendor differential-privacy + per-vendor k-anonymity + per-vendor l-diversity. Resolve runs cross-vendor identity-resolution: per-trade-area cross-vendor visit-count reconciliation with per-vendor minimum cell-size for privacy + per-vendor de-identification standard + per-vendor opt-in framework attestation (Apple ATT IDFA + Google Privacy Sandbox + per-SDK opt-in flow + per-mobile-SDK SDK License Agreement). Per-trade-area geographic taxonomy resolution (ZIP + Census Tract + Block Group + Place + County + MSA + DMA + per-trade-area Drive Time + Drive Distance + Custom Polygon + Esri Demographics).

What does Enrich + Audit do?

Enrich runs per-portfolio per-trade-area enrichment: per-trade-area demographics (Esri + Census + Acxiom + Experian Mosaic + Claritas PRIZM + Nielsen) + per-trade-area competitor density (Placer.ai chain points + Yelp Fusion + Google Business Profile + Foursquare Places) + per-trade-area co-tenancy (anchor + complement) + per-trade-area accessibility (drive-time + transit + walkability) + per-trade-area cannibalization scoring vs existing portfolio + per-trade-area Robinson-Patman territorial-pricing-discrimination flag when offer pricing varies across trade-areas + per-trade-area FDD Item 12 territorial-protection adjacency. Audit writes a per-trade-area WORM canonical record: per-vendor source attribution + per-vendor data-license attestation + per-vendor DPA + per-vendor differential-privacy + k-anonymity + l-diversity attestation + Apple ATT IDFA + Google Privacy Sandbox opt-in attestation + per-state sensitive-data disclosure compliance + GDPR Article 9 special category attestation when health-facility + EU AI Act Article 22 + Annex III high-risk attestation when AI-ML drives siting + FDD Item 19 Financial Performance Representation substantiation chain when foot-traffic substantiates franchise revenue claim + Pfizer 1972 substantiation + ECOA Regulation B disparate-impact audit when AI-ML siting routes by proxy correlating with protected class + Fair Housing Act analysis when franchise siting decision affects housing access. Storage: AWS S3 Object Lock + Azure Blob immutable + Google Cloud Storage Bucket Lock + Wasabi WORM. Retention: 7-year FTC + 7-year IRS + 7-year FDD + 5-year FCRA + 4-year ECOA + 6-year SEC + GDPR Article 30 + EU AI Act Article 12 + SOC 2 CC7/CC8.

What does this skill connect to on the franchise-development agent and across the swarm?

On the franchise-development agent: continuous foot-traffic ingestion (this skill) + per-prospect franchise territory analysis pipeline (sibling build-pillar — downstream consumer of trade-area canonical record) + CRE listing ingestion for territory evaluation pipelines (sibling build-pillar — complementary substrate) + per-location competitive density mapping for multi-location franchise development (sibling build-pillar). Across the swarm: per-jurisdiction compliance multi-state franchise (sibling build-pillar) + per-franchisee accountability views (sibling build-pillar) + per-location demographic feeds for multi-location content systems (sibling build-pillar) + per-territory demographic data ingestion at multi-location scale (sibling build-pillar) + master-record + per-location dynamic content. Build-pillar siblings: tiered pre-filter deterministic gates for AI content compliance + marketing AI autonomy profile configuration. Commercial-pillar parent: /multi-location-franchise-development.

What does the 6-workstream pre-engagement-baseline reporting cycle look like for this skill?

Every two weeks during the Tier 3 Fractional CMO with AI Swarm engagement, six workstreams report against the pre-engagement baseline. Workstream 1: per-portfolio mobility-data vendor coverage — vendors enrolled + per-vendor refresh cadence + per-vendor data-license + per-vendor differential-privacy/k-anonymity/l-diversity attestation. Workstream 2: Resolve cross-vendor identity-resolution flow — per-trade-area cross-vendor visit-count reconciliation + Apple ATT IDFA + Google Privacy Sandbox opt-in attestation + per-state sensitive-data disclosure compliance. Workstream 3: Enrich per-trade-area distribution — demographics + competitor density + co-tenancy + accessibility + cannibalization scoring + Robinson-Patman flag + FDD Item 12 adjacency. Workstream 4: Audit canonical-record coverage — per-trade-area WORM hash + Apple ATT + Google PS attestation + per-state sensitive-data + GDPR Article 9 + EU AI Act Article 22 Annex III + FDD Item 19 FPR substantiation chain + ECOA + Fair Housing analysis. Workstream 5: Regulatory-defense audit coverage — CCPA/CPRA sensitive-geolocation + Washington MHMDA + Texas SCOPE + BIPA/CUBI/Washington biometric + 18-state privacy + Apple ATT + Google PS + GDPR Article 9 + EU AI Act Article 22 + Annex III + FDD Item 19 + ECOA + Fair Housing. Workstream 6: FBC feedback-loop pattern-learning — per-vendor refresh cadence reconciliation + per-trade-area realized-vs-predicted reconciliation + per-state enforcement-update impact + per-jurisdiction franchise-rule update impact.

Build pillar · franchise-development agent

How to build continuous foot-traffic ingestion for franchise development

Placer.ai + SafeGraph + Foursquare + Veraset + Cuebiq + Near + Reveal Mobile + Unacast + Gravy Analytics + Onemata + Spire Global + cellular MNO ship per-tenant flat mobility-data primitives. The Ingest + Resolve + Enrich + Audit skill bundle on the franchise-development agent sits above 10+ mobility-data vendors + Wi-Fi + BLE substrate and writes a per-trade-area canonical record with named regulatory anchors covering CCPA/CPRA sensitive-personal-information precise-geolocation + Washington MHMDA + Texas SCOPE Act + per-state biometric BIPA/CUBI + 18-state privacy + Apple ATT iOS 14.5 + Google Privacy Sandbox + GDPR Article 9 special category + EU AI Act Article 22 + Annex III high-risk + FDD Item 19 Financial Performance Representation substantiation + ECOA + Fair Housing.

Published October 21, 2026 · 3,200 words

The 4-skill bundle on the franchise-development agent

One agent. Four coordinated skills. The Ingest + Resolve + Enrich + Audit bundle runs above the mobility-data vendor substrate (Placer.ai + SafeGraph + Foursquare + Veraset + Cuebiq + Near + Reveal Mobile + Unacast + Gravy Analytics + Onemata) + Wi-Fi (Aruba + Cisco Meraki + Purple WiFi + Cloud4Wi) + BLE (Bluedot + Gimbal + Estimote + Kontakt.io) + geospatial (Esri + Mapbox + Google Maps Platform) and writes one canonical per-trade-area record.

Ingest

Per-vendor concurrent polling at per-vendor cadence (Placer.ai weekly + SafeGraph monthly + Foursquare quarterly + Veraset daily + cellular MNO real-time + Wi-Fi near-real-time + BLE near-real-time). Per-vendor source attribution + license + DPA + differential-privacy + k- anonymity + l-diversity attestation. Apple ATT + Google Privacy Sandbox + per-SDK opt-in attestation.

Resolve

Cross-vendor identity-resolution: per-trade-area cross- vendor visit-count reconciliation + per-vendor minimum cell-size for privacy + per-vendor de-identification standard. Geographic taxonomy resolution (ZIP + Census Tract + Block Group + Place + County + MSA + DMA + Drive Time + Drive Distance + Custom Polygon + Esri Demographics).

Enrich

Per-trade-area: demographics (Esri + Census + Acxiom + Experian Mosaic + Claritas + Nielsen) + competitor density (Placer chain points + Yelp + GBP + Foursquare) + co- tenancy + accessibility (drive-time + transit + walkability) + cannibalization scoring vs portfolio + Robinson-Patman territorial-pricing flag + FDD Item 12 adjacency.

Audit

Per-trade-area WORM record: per-vendor source + license + DPA + differential-privacy + k-anonymity + l-diversity + ATT/PS opt-in attestation + per-state sensitive-data compliance + GDPR Article 9 + EU AI Act Article 22 Annex III + FDD Item 19 FPR substantiation chain + ECOA + Fair Housing analysis. Retention: 7-year FTC + 7-year IRS + 7-year FDD + 5-year FCRA + 4-year ECOA + 6-year SEC + GDPR Article 30 + EU AI Act Article 12 + SOC 2 CC7/CC8.

The real ecosystem this sits above

Ingest + Resolve + Enrich + Audit does not replace the mobility-data vendors or the geospatial substrate. It sits above them, coordinates them, and writes one canonical per- trade-area record with named regulatory anchors.

Mobility-data + SDK substrate

Placer.ai + SafeGraph + Foursquare + Veraset
Cuebiq + Near + Reveal Mobile + Unacast + Onemata
Gravy Analytics + Spire Global + Mobilewalla
AT&T Boost + Verizon Business + T-Mobile + Vista
Foursquare Pilgrim + Adsquare + Tamoco + Onevise

Wi-Fi + BLE + first-party

Aruba + Cisco Meraki + Purple WiFi + Cloud4Wi + Yelp WiFi
StreetMetrics + Bluedot + Gimbal + Estimote + Kontakt.io
Beaconstac + Radius Networks BLE + Geofencing
Google Mobility Reports + Apple Mobility Trends
Captify + ShareThis + Affinity Solutions behavioral

Geospatial + warehouse

Google Maps Platform + Apple MapKit + HERE + TomTom
Mapbox + Foursquare Places + Esri ArcGIS + QGIS + CARTO
Snowflake + BigQuery + Databricks + Redshift + ClickHouse
DuckDB + Iceberg + Hudi + Delta Lake table format
Tableau + Looker + Sigma + ThoughtSpot + Mapinfo

Compliance overlay

Five anchors run per-trade-area before any canonical record commits. The first anchor is operationally distinctive to franchise-development foot-traffic: CCPA/CPRA classify precise geolocation as sensitive personal information; Washington MHMDA + Texas SCOPE Act + biometric statutes layer on top; and FDD Item 19 Financial Performance Representation requires Pfizer 1972 substantiation when foot-traffic substantiates franchise revenue claim to prospects.

Anchor 1: CCPA/CPRA sensitive-geolocation + MHMDA + SCOPE + BIPA + FDD Item 19 (operationally distinctive)

CCPA 1798.140(v)(1) + CPRA sensitive-personal-information category (precise geolocation). Washington My Health My Data Act (MHMDA 2024) when foot-traffic at health facility. Texas SCOPE Act 2024. Per-state biometric (Illinois BIPA + Texas CUBI + Washington biometric) when device-ID derivation. 18-state comprehensive privacy with sensitive- personal-information-precise-geolocation (Connecticut + Virginia + Colorado + Utah + Nevada + Florida + Texas + Tennessee + Oregon + Montana + Iowa + Indiana + New Jersey + Delaware + New Hampshire + Kentucky + Maryland + Minnesota + Rhode Island). Per-state opt-in for sensitive processing. Apple App Tracking Transparency iOS 14.5 IDFA + Apple App Store Review Guidelines + Google Play Developer Policy + Google Privacy Sandbox + per-mobile-SDK SDK License Agreement + per-vendor SDK opt-in flow. FDD Item 19 Financial Performance Representation substantiation when foot-traffic substantiates franchise revenue claim + Pfizer 1972 substantiation.

Anchor 2: GDPR Article 9 special category + EU AI Act + international

GDPR Article 6 + 7 + 9 special category when health- facility geolocation + Article 22 automated decisions + Article 28 data processor + Article 30 records. LGPD + DPDP + PIPEDA + Quebec Law 25. EU AI Act Article 22 + 26 + 50 + Article 13 + 14 + 15 + Annex III high-risk when AI-ML foot-traffic scoring drives franchise-development site selection (high-risk when access to essential services). Digital Services Act + DMA.

Anchor 3: ECOA + Fair Housing + anti-discrimination

ECOA Regulation B disparate-impact when AI-ML franchise- development site-selection routes by proxy correlating with protected class. Fair Housing Act 42 USC 3601 when franchise siting decision affects housing access. Equal Credit Opportunity Act. FCRA when foot-traffic data informs credit decision. Title VII when employment- decisioning.

Anchor 4: Franchise territorial + UDTPA + FTC

FDD Item 12 territorial-protection per FTC Franchise Rule 16 CFR 436. 15-state franchise registration. State FRR. State franchise relationship. FDD Item 17 + Item 19. Robinson-Patman territorial-pricing-discrimination when offer pricing varies across trade-areas. State UDTPA. Lanham Act. FTC Act Section 5 + Pfizer 1972 substantiation. FTC Endorsement Guides 16 CFR Part 255. ICC Rule when alcohol franchise. FDA when food franchise.

Anchor 5: Security + WORM retention

NIST AI RMF + ISO 42001 + ISO 27001 + SOC 2 Type II. Per- vendor LLM zero-retention + per-source DPA + per-vendor data-license + per-vendor data-source-attestation. Policy- as-code via OPA Rego + AWS Cedar + Casbin + Cerbos + Oso + Styra DAS + Permit.io. Storage: AWS S3 Object Lock + Azure Blob immutable + Google Cloud Storage Bucket Lock + Wasabi WORM. Retention: 7-year FTC + 7-year IRS + 7-year FDD + 5-year FCRA + 4-year ECOA + 6-year SEC + GDPR Article 30 + EU AI Act Article 12 + SOC 2 CC7/CC8.

6-workstream reporting cycle

Every two weeks during a Tier 3 Fractional CMO engagement, six workstreams report against the pre-engagement baseline. No forecast accuracy claims. Process commitments only.

1. Per-portfolio mobility-data vendor coverage. Vendors enrolled + per-vendor refresh + license + DPA + differential-privacy/k-anonymity/l-diversity attestation.
2. Resolve cross-vendor identity-resolution flow. Per-trade-area reconciliation + Apple ATT + Google PS opt-in + per-state sensitive-data compliance.
3. Enrich per-trade-area distribution. Demographics + competitor density + co-tenancy + accessibility + cannibalization + Robinson-Patman + FDD Item 12 adjacency.
4. Audit canonical-record coverage. Per-trade-area WORM hash + ATT/PS + per-state sensitive-data + GDPR Article 9 + EU AI Act Article 22 Annex III + FDD Item 19 FPR substantiation + ECOA + Fair Housing.
5. Regulatory-defense audit coverage. CCPA/CPRA sensitive-geolocation + Washington MHMDA + Texas SCOPE + BIPA/CUBI + 18-state + Apple ATT + Google PS + GDPR Article 9 + EU AI Act + FDD Item 19 + ECOA + Fair Housing.
6. FBC feedback-loop pattern-learning. Per-vendor refresh reconciliation + realized-vs-predicted reconciliation + per-state enforcement-update + per- jurisdiction franchise-rule update.

FAQ

What is continuous foot-traffic ingestion for franchise development — and what is the sensitive-geolocation-times-FDD-Item-19 substantiation problem distinctive to this skill?: A multi-unit franchise + multi-location service brand operator depends on continuous foot-traffic data to inform franchise-development site selection (where to open + acquire + close + remodel + relocate + transfer + franchise + license + master-franchise + sub-franchise). Mobility-data vendors (Placer.ai + SafeGraph + Foursquare + Veraset + Cuebiq + Near + Reveal Mobile + Unacast + Gravy Analytics + Onemata) ship per-tenant flat aggregated visit-count primitives derived from mobile device-IDs + opt-in SDK data + Wi-Fi access points + BLE beacons + cellular MNO data. The four-skill bundle on the franchise-development agent — Ingest, Resolve, Enrich, Audit — sits above the 10+-vendor mobility-data substrate and writes a per-trade-area canonical record. The operationally distinctive anchor: CCPA 1798.140(v)(1) + CPRA classify precise geolocation as sensitive personal information requiring opt-in. Washington MHMDA 2024 + Texas SCOPE Act 2024 + per-state biometric (Illinois BIPA + Texas CUBI + Washington biometric) impose additional constraints when foot-traffic data derives from device-ID at health/wellness facility or biometric proxy. Apple App Tracking Transparency iOS 14.5 IDFA opt-in plus Google Privacy Sandbox change the supply of mobile-location data. FDD Item 19 Financial Performance Representation requires Pfizer 1972 substantiation when foot-traffic data substantiates franchise revenue claims to franchisee prospects.
Why do Placer.ai + SafeGraph + Foursquare + Veraset + Cuebiq + Near + Reveal Mobile break at franchise-development scale with privacy + FDD substantiation overlay?: Each mobility-data vendor ships a per-tenant flat aggregated visit-count primitive: a franchise developer logs in, sees a trade-area dashboard, exports a CSV. None resolves cross-vendor identity-resolution across Placer.ai (weekly refresh + k=5 anonymization) + SafeGraph (monthly + daily aggregation) + Foursquare (quarterly) + Veraset (daily) with per-vendor differential privacy + k-anonymity + l-diversity reconciliation. None enriches per-trade-area with geographic taxonomy (ZIP + Census Tract + Block Group + Place + County + MSA + DMA + Drive Time + Drive Distance + Custom Polygon + Esri Demographics). None gates per-trade-area against the 5-anchor regulatory overlay (CCPA/CPRA sensitive-personal-information precise-geolocation + Washington MHMDA + Texas SCOPE Act + BIPA/CUBI + 18-state privacy + Apple ATT + Google Privacy Sandbox + GDPR Article 9 + EU AI Act Article 22 + FDD Item 19 FPR substantiation + ECOA disparate-impact). None writes a per-trade-area audit trail with FDD Item 19 substantiation chain for franchise-prospect disclosure. The four-skill bundle Ingest + Resolve + Enrich + Audit sits above the mobility-vendor surface — it does not replace it.
How does Ingest + Resolve work across 10+ mobility-data vendors?: Ingest runs per-portfolio per-banner per-trade-area concurrent polling across the mobility-data substrate: Placer.ai weekly refresh + SafeGraph monthly + Foursquare quarterly + Veraset daily + Cuebiq + Near + Reveal Mobile + Unacast + Gravy Analytics + Onemata + Spire Global + cellular MNO (AT&T Boost + Verizon Business Intelligence + T-Mobile Customer Analytics + Vista Insights) + Google Mobility Reports + Apple Mobility Trends + Foursquare Pilgrim SDK + Adsquare + Tamoco + Mobilewalla mobile-SDK + Aruba/Cisco Meraki/Purple WiFi/Cloud4Wi venue Wi-Fi + StreetMetrics/Bluedot/Gimbal/Estimote/Kontakt.io/Beaconstac/Radius Networks BLE. Per-vendor source attribution + per-vendor data-license + per-vendor data-source-attestation + per-vendor differential-privacy + per-vendor k-anonymity + per-vendor l-diversity. Resolve runs cross-vendor identity-resolution: per-trade-area cross-vendor visit-count reconciliation with per-vendor minimum cell-size for privacy + per-vendor de-identification standard + per-vendor opt-in framework attestation (Apple ATT IDFA + Google Privacy Sandbox + per-SDK opt-in flow + per-mobile-SDK SDK License Agreement). Per-trade-area geographic taxonomy resolution (ZIP + Census Tract + Block Group + Place + County + MSA + DMA + per-trade-area Drive Time + Drive Distance + Custom Polygon + Esri Demographics).
What does Enrich + Audit do?: Enrich runs per-portfolio per-trade-area enrichment: per-trade-area demographics (Esri + Census + Acxiom + Experian Mosaic + Claritas PRIZM + Nielsen) + per-trade-area competitor density (Placer.ai chain points + Yelp Fusion + Google Business Profile + Foursquare Places) + per-trade-area co-tenancy (anchor + complement) + per-trade-area accessibility (drive-time + transit + walkability) + per-trade-area cannibalization scoring vs existing portfolio + per-trade-area Robinson-Patman territorial-pricing-discrimination flag when offer pricing varies across trade-areas + per-trade-area FDD Item 12 territorial-protection adjacency. Audit writes a per-trade-area WORM canonical record: per-vendor source attribution + per-vendor data-license attestation + per-vendor DPA + per-vendor differential-privacy + k-anonymity + l-diversity attestation + Apple ATT IDFA + Google Privacy Sandbox opt-in attestation + per-state sensitive-data disclosure compliance + GDPR Article 9 special category attestation when health-facility + EU AI Act Article 22 + Annex III high-risk attestation when AI-ML drives siting + FDD Item 19 Financial Performance Representation substantiation chain when foot-traffic substantiates franchise revenue claim + Pfizer 1972 substantiation + ECOA Regulation B disparate-impact audit when AI-ML siting routes by proxy correlating with protected class + Fair Housing Act analysis when franchise siting decision affects housing access. Storage: AWS S3 Object Lock + Azure Blob immutable + Google Cloud Storage Bucket Lock + Wasabi WORM. Retention: 7-year FTC + 7-year IRS + 7-year FDD + 5-year FCRA + 4-year ECOA + 6-year SEC + GDPR Article 30 + EU AI Act Article 12 + SOC 2 CC7/CC8.
What does this skill connect to on the franchise-development agent and across the swarm?: On the franchise-development agent: continuous foot-traffic ingestion (this skill) + per-prospect franchise territory analysis pipeline (sibling build-pillar — downstream consumer of trade-area canonical record) + CRE listing ingestion for territory evaluation pipelines (sibling build-pillar — complementary substrate) + per-location competitive density mapping for multi-location franchise development (sibling build-pillar). Across the swarm: per-jurisdiction compliance multi-state franchise (sibling build-pillar) + per-franchisee accountability views (sibling build-pillar) + per-location demographic feeds for multi-location content systems (sibling build-pillar) + per-territory demographic data ingestion at multi-location scale (sibling build-pillar) + master-record + per-location dynamic content. Build-pillar siblings: tiered pre-filter deterministic gates for AI content compliance + marketing AI autonomy profile configuration. Commercial-pillar parent: /multi-location-franchise-development.
What does the 6-workstream pre-engagement-baseline reporting cycle look like for this skill?: Every two weeks during the Tier 3 Fractional CMO with AI Swarm engagement, six workstreams report against the pre-engagement baseline. Workstream 1: per-portfolio mobility-data vendor coverage — vendors enrolled + per-vendor refresh cadence + per-vendor data-license + per-vendor differential-privacy/k-anonymity/l-diversity attestation. Workstream 2: Resolve cross-vendor identity-resolution flow — per-trade-area cross-vendor visit-count reconciliation + Apple ATT IDFA + Google Privacy Sandbox opt-in attestation + per-state sensitive-data disclosure compliance. Workstream 3: Enrich per-trade-area distribution — demographics + competitor density + co-tenancy + accessibility + cannibalization scoring + Robinson-Patman flag + FDD Item 12 adjacency. Workstream 4: Audit canonical-record coverage — per-trade-area WORM hash + Apple ATT + Google PS attestation + per-state sensitive-data + GDPR Article 9 + EU AI Act Article 22 Annex III + FDD Item 19 FPR substantiation chain + ECOA + Fair Housing analysis. Workstream 5: Regulatory-defense audit coverage — CCPA/CPRA sensitive-geolocation + Washington MHMDA + Texas SCOPE + BIPA/CUBI/Washington biometric + 18-state privacy + Apple ATT + Google PS + GDPR Article 9 + EU AI Act Article 22 + Annex III + FDD Item 19 + ECOA + Fair Housing. Workstream 6: FBC feedback-loop pattern-learning — per-vendor refresh cadence reconciliation + per-trade-area realized-vs-predicted reconciliation + per-state enforcement-update impact + per-jurisdiction franchise-rule update impact.

Engage Completions

Two ways to engage. The Tier 1 AI Readiness Assessment maps the 10+-vendor mobility-data substrate + Wi-Fi + BLE + geospatial + per-state sensitive-data + FDD Item 19 substantiation surface against the Ingest + Resolve + Enrich + Audit bundle. The Tier 3 Fractional CMO with AI Swarm embeds 1-2 days per week for 6+ months and runs the bundle end-to-end against the franchise- development agent across the swarm.

Tier 1 AI Readiness Assessment Tier 3 Fractional CMO with AI Swarm Not sure which tier? Take the 3-question quiz