How to wrap Yext with NAP-canonical approval governance — and prevent the typo-cascade that takes weeks to undo

A typo in your master record propagates to 150 directories within hours via Yext. Recovery requires manual correction at each directory, often individually, often at $X per directory in vendor-support time. The mid-2024 industry rule of thumb at multi-location operator scale: a single mass-NAP-typo cascade costs 3-6 weeks of marketing-ops time to fully unwind, and some directories never accept the corrected NAP without an escalation path to a human at the directory itself.

The fix is not better proofreading. The fix is an architectural gate between your master record and your citation distributor that blocks every NAP change behind a verification step, with a strict approval-and-audit workflow. This guide walks through wrapping your existing vendor (Yext / BrightLocal / Whitespark / Synup / Moz Local) with that gate.

Step 1 — Inventory your current citation distributor

Most multi-location operators run one dominant citation distributor with one or more secondary monitoring tools layered on top. Name the stack first; the wrapping work depends on which APIs you are wrapping.

• Yext — dominant at 100+ location scale; ~150 direct API integrations to specific directories
• BrightLocal — mid-market alternative; comparable directory coverage at lower price point
• Whitespark — Canadian + US-focused; strong on local citations specifically
• Synup — international + retail; 200+ directory coverage in some regions
• Moz Local — long-running incumbent; thinner UI than peers but stable API
• Uberall — international + retail-heavy; common at chain operators with EU presence
• Reputation.com — healthcare-leaning; bundles reputation + citation

The architecture works against any of these — none are first-class to the agent. Pick whatever you already have. Operators who try to swap distributors at the same time as wiring the agent typically take 2-3x longer; do them sequentially. Wire the agent against the current vendor, then evaluate vendor swap separately if the procurement cycle warrants it.

Step 2 — Wire the wrapper interface around your current vendor

The agent calls a stable interface; the implementation calls the specific vendor API. This pattern is what makes vendor swaps survivable later — when the operator renews with Yext in 18 months and decides to test BrightLocal, the work is a new wrapper implementation, not an agent rewrite.

interface CitationDistributor {
  // Submit a new citation across the operator's directory set
  submitCitation(args: {
    location: LocationRecord
    directories: string[]
  }): Promise<SubmissionResult>

  // Update an existing NAP attribute across distributed directories
  updateNAP(args: {
    locationId: string
    change: NAPChange
  }): Promise<UpdateResult>

  // Detect duplicate listings the vendor has identified
  detectDuplicates(locationId: string): Promise<Duplicate[]>

  // Read current state for reconciliation
  getDirectoryStatus(args: {
    locationId: string
    directory: string
  }): Promise<DirectoryStatus>
}

class YextCitationDistributor implements CitationDistributor { /* Yext API */ }
class BrightLocalCitationDistributor implements CitationDistributor { /* BrightLocal API */ }
class WhitesparkCitationDistributor implements CitationDistributor { /* Whitespark API */ }

The agent code depends on the interface, not the implementation. Multi-vendor operators (running Yext + BrightLocal in parallel for cross-validation) instantiate two implementations and the agent dispatches to both in parallel.

Step 3 — Define the NAP-canonical approval gate

Every NAP change is high-stakes. The approval gate sits between your master record and your citation distributor: when the master record changes, the gate detects the diff, opens a verification ticket, requires explicit human approval before propagation, and logs the full chain to the audit log.

The verification step is not optional. Typical verification: a phone call to the location confirming the change is real and intentional. For corporate-owned chains where the change came from operations, the verification is a slack confirmation from the operations lead. For franchise systems, the verification routes to the franchisee owner. Either way, the gate does not propagate without explicit human acknowledgment.

Step 4 — Set up drift detection across distributed directories

Even with the approval gate enforced, three sources of drift surface:

• Vendor-tool side-channel edits — someone in marketing-ops updates a hours change directly in the Yext UI; another team member updates the same location in GBP. Two systems disagree.
• Operations-side updates that bypass marketing — a regional manager updates hours in their POS; the master record does not see it.
• Google-side accepted edits — random users propose edits via the GBP business-info-edit feature; some get accepted by Google before marketing sees them.

The drift detector runs daily reconciliation between master record state, wrapped-vendor state, and (for high-leverage directories) live-scrape state. Discrepancies fire `attribute_drift_detected` events that route to tier 2 or tier 3 of the editorial governance layer depending on the attribute stakes.

Step 5 — Configure the outreach generator with the 5-touches-per-location-per-month cap

The citation agent is one half citation maintenance, one half local link-build outreach (chambers of commerce, neighborhood associations, BBB, local school sponsorships, local press). Outreach is high-trust low-volume work; mass outreach destroys local-community brand reputation faster than it builds links.

The hard cap is 5 outreach touches per location per month. No exceptions. The agent enforces this in the outreach-generation logic: if the per-location-per-month count is already at 5, the agent does not generate more drafts, it queues the opportunity for next month. Override requests route to tier 3 (operations lead) — but the cap exists because the times an override is justified are rare.

# outreach-cap-enforcement.yaml
volume_cap_rules:
  global_cap_per_location_per_month: 5
  reset_window: rolling_30_days

  per_outreach_type_breakdowns:
    chamber_membership: { max_per_month: 1 }
    neighborhood_association: { max_per_month: 2 }
    local_school_sponsorship: { max_per_month: 1 }
    local_event_sponsorship: { max_per_month: 2 }
    local_press_outreach: { max_per_month: 2 }

  override_required_for:
    - 'time_sensitive_event_within_14_days'
    - 'reactive_to_negative_press_event'

  override_routing: tier_3_operations_lead

personalization_requirements:
  forbidden_template_only: true
  required_per_recipient_research:
    - recent_org_activity
    - mission_statement
    - membership_profile

followup_pattern:
  initial_outreach: 1
  followup_after_days: 14
  total_touches_per_opportunity_max: 2

Personalization is mandatory; template-only outreach gets caught by the brand-voice gate (per Piece 1 round 10) and routes to regeneration. The brand spec for outreach includes the per-recipient research requirements above; outreach drafts that lack recipient-specific context fail the gate.

Step 6 — Wire backlink monitoring into telemetry

The citation agent reads from existing backlink-monitoring tools (Ahrefs, Semrush, Majestic) read-only. The agent does not replace these tools — they do specialized things well — but it ingests their per-location backlink data into the swarm telemetry layer. This makes per-location link-acquisition outcomes measurable in the same dashboard as citation events and outreach status.

For outreach specifically, the read-only ingestion enables the link-acquisition feedback loop: when a local press piece links to a location, the citation agent's outreach record gets marked as successful; when a chamber listing goes live, the agent confirms the link in the next reconciliation cycle. Without this loop, outreach becomes vibes-based; with it, outreach is a measurable system.

Step 7 — Test with one NAP change before production

Pick one location with the lowest stakes — a recent opening, a B-tier location, a location whose marketing team has the most slack to handle a glitch. Push one cosmetic NAP change through the gate (e.g., capitalize the second word of the location name). Watch the full flow: master-record edit → gate fires → verification ticket opens → human approves → distributor wraps the propagation → drift detector confirms in 24 hours → audit log shows the chain.

The test confirms three things: the gate intercepts changes correctly, the verification step is reachable in real time (not theoretical), and the audit log captures the full chain. After 7 days of clean operation on that one location, expand to the next 5. After another 7 days, expand to the rest of the operator footprint.

Total time-to-full-deployment for the citation agent: typically 14-21 days at 50-200 location scale. Faster than the review-response agent because the volume is lower and the per-output cadence is steadier.

A copy-pasteable starting NAP-canonical-gate workflow

# nap-canonical-gate.yaml
gate_triggers:
  master_record_field_changed:
    - name
    - address
    - phone
    - hours
    - services
    - manager

verification_required_for_each:
  name: phone_call_to_location
  address: phone_call_to_location + state_business_filing_check
  phone: phone_call_to_location
  hours: slack_confirmation_from_operations_lead
  services: slack_confirmation_from_operations_lead
  manager: phone_call_to_location

approval_routing:
  tier_2_default_approver: operations_lead
  tier_3_for_address_changes: operations_lead + brand_director
  tier_4_for_name_or_brand_changes: marketing_director_or_vp

audit_log_required_fields:
  - change_id
  - field_changed
  - old_value
  - new_value
  - approver_identity
  - approval_timestamp
  - verification_method
  - verification_notes
  - propagation_status_per_directory
  - any_directory_failures

retention_period_years: 7

What this guide does not cover

Vendor-specific API quirks (Yext rate limits, BrightLocal webhook signing, Whitespark batch-update semantics) are out of scope for this implementation walk-through; each vendor has its own playbook. Net-new citation vendor procurement is out of scope (the agent works against your existing vendor; vendor swap is a separate decision). Manual citation cleanup of pre-existing NAP inconsistencies in the directory ecosystem is its own engagement — typically the first 30-60 days of operating the agent surface decades of accumulated drift that needs unwinding before the steady-state operation is meaningful.

The architecture, the wrapper interface, the NAP-canonical gate, the outreach cap, the audit log — those are universal. Apply them to your existing distributor and you have a working agent in 60-90 minutes of focused work. The bigger investment is the cleanup pass that surfaces in the first month of operation; budget for it before you go live.