Neighborly — Reputation Management Strategy
Neighborly® — Reputation & Local SEO Strategy Reputation Management Consultant proposal
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Reputation management consultant — strategic proposal
Local listings & reputation
at Neighborly scale
A strategy for owning visibility, engagement, and revenue across Google Business Profile, Yelp, Meta, and Apple Maps — across 5,500+ franchise locations and 19 North American brands
5,500+
Franchise locations
19
North American brands
4
Platforms to own
#1
Largest home services franchisor
This deck outlines how I would step into the Reputation Management Consultant role — owning multi-platform listings, building a scalable reputation engine, and tying every lead back to revenue across every Neighborly brand and market.
Role alignment
How I map to this role
Every responsibility in the job description — addressed directly in this strategy
Own and optimize local listings — GBP, Yelp, Meta, Apple Maps across all 5,500+ locations with accuracy and consistency
Reputation management strategy — reviews, responses, sentiment tracking, and automated workflows at franchise scale
Scalable local SEO processes — rankings, conversion (calls, bookings, clicks) with template-driven execution
KPIs tied to revenue — attribution layer connecting every lead to a location and a dollar amount
Analytics, AI, and automation — Yext, Podium, ReviewTrackers and AI-powered workflows to drive performance at scale
Cross-functional partnership — structured operating model with Marketing, Product, Analytics, and franchise stakeholders
Vendor management — governing platform relationships and guiding internal teams and franchise operators
The problem
Corporate investment is growing —
local execution isn't keeping up
Neighborly has made real strides in CRM and national marketing. But at the franchise level, local listings and reputation remain fragmented across every platform.
Inconsistent listings across all four platforms
GBP, Yelp, Meta, and Apple Maps profiles vary wildly in completeness, accuracy, and category selection — costing visibility and customer trust at every location.
Unmanaged reputation at scale
Reviews go unresponded to. Sentiment isn't tracked. There's no system to turn reputation signals into actionable insights across 5,500 locations.
No revenue attribution
Leads arrive with no clear source. No visibility into which markets convert, which underperform, or what's driving the gap — making investment decisions guesswork.
The solution
A centralized reputation &
listings operating system
One governed system that standardizes listings, scales reputation, and ties every customer interaction back to revenue.
Fragmented local presence
Predictable revenue at scale
Pillar 1
Listings governance
Accurate, consistent across GBP, Yelp, Meta, Apple Maps
Pillar 2
Reputation engine
Automated reviews, responses, and sentiment tracking
Pillar 3
Local SEO & conversion
Rankings and content driving calls and bookings
Pillar 4
KPI & reporting
Revenue attribution per location and per brand
Pillar 5
AI & automation
Scale without proportional headcount
Platform strategy
Owning all four major platforms
Each platform has distinct ranking signals, audience behavior, and optimization levers — all four must work together as a unified local presence
Google Business Profile
Primary visibility driver — map pack & search
Highest priority
  • Categories, services, attributes — corporate locked
  • Weekly posts + photos by franchisee
  • UTM tracking on every CTA link
  • Map pack share monitored per market
Yelp
Review volume & consumer trust
High priority
  • Enhanced profiles with services and photos
  • 24hr response SLA via automation
  • Duplicate flagging and suppression
  • Review velocity tracked monthly
Meta (Facebook)
Social proof & local engagement
Medium priority
  • Location pages synced via Yext bulk management
  • Review monitoring and response workflow
  • Service info, hours, and photos accuracy
Apple Maps
iOS users & Siri search
Growing priority
  • Apple Business Connect claimed and verified
  • NAP consistency maintained
  • Showcards and photos updated quarterly
Platform deep dive — Google Business Profile
The highest-impact listing to get right
GBP is the primary driver of map pack visibility and local call volume — and the platform where inconsistency costs the most
Corporate controls
  • Primary and secondary category selection per brand
  • Service menu standardized across all locations
  • Business attributes locked and verified
  • UTM parameters on website and booking links
  • Q&A seeded with brand-level FAQs
Franchise actions (weekly)
  • 1 GBP post minimum per week (offer, update, or job photo)
  • Review responses within 24–48 hours
  • Photo uploads: before/after, team, equipment
  • Special hours kept current
KPI targets
80%+ locations active monthly · 90%+ profile completeness
Reputation engine
Reviews, responses, and sentiment at scale
Reputation is a conversion driver — not an afterthought. Every location needs a working, automated review system.
Review acquisition
  • Automated post-service requests via Podium (SMS + email)
  • Brand-level templates with local customization
  • Direct-to-platform links (GBP primary, Yelp secondary)
Volume targets by location type
High-volume10–20/mo
Standard3–8/mo
Low-volume1–5/mo
Response strategy
  • 24–48hr SLA on all negative reviews across all platforms
  • Templated responses with local personalization tokens
  • Escalation workflow for critical or brand-risk sentiment
Sentiment monitoring
  • ReviewTrackers for cross-platform sentiment aggregation
  • Sentiment trends per brand and per market
  • Monthly reputation health score per location
Listings governance
Accuracy and consistency at 5,500 locations
A single source of truth — managed centrally, executed locally, audited continuously across all four platforms
NAP consistencyDuplicate suppressionCategory standardizationAttribute completenessUTM trackingHours accuracyPhoto freshness
Corporate owns
  • Master data standards
  • Platform configurations
  • Bulk update workflows
  • Compliance audits
Franchisee executes
  • Photos & posts
  • Review responses
  • Special hours
Tools automate
  • Yext sync across platforms
  • Duplicate detection alerts
  • Accuracy drift reports
Technology & tools
The platform stack to run this at scale
Hands-on experience with the exact tools this role requires — from listings management to review automation to revenue attribution
Yext
Podium
ReviewTrackers
GBP API
GA4
CallRail
Looker Studio
AI automation
Listings management
  • Yext (or Uberall / Semrush Local) for bulk sync across all four platforms
  • Duplicate suppression and quarterly audit workflows
  • API-level GBP management for 5,500 locations at speed
Reputation & attribution
  • Podium for automated review requests via SMS and email
  • ReviewTrackers for cross-platform sentiment monitoring
  • GA4 + CallRail for conversion and revenue attribution
  • Looker Studio for corporate and franchise dashboards
Local SEO & conversion
Rankings that drive calls, bookings, and clicks
Local SEO bridges a visible listing and a booked job — every tactic is tied to a measurable conversion outcome
1
GBP map pack optimization
Category precision, proximity signals, review velocity, and post cadence — the four levers that move map pack position and call volume
2
Conversion-focused location pages
Local content, service-specific FAQs, reviews, and CTAs built to convert — tied directly to call and booking tracking
3
Service area content at scale
Template-driven city + neighborhood pages per brand — Mr. Rooter in Cherry Hill, Aire Serv in Camden County — deployed across 5,500 locations
4
AI search readiness
Cost guides, FAQ pages, and troubleshooting content optimized for Google AI Overviews, voice search, and conversational queries
KPIs & reporting
Revenue-first measurement framework
Replace vanity rankings with full attribution — every KPI traces back to a booked job at a specific location
Corporate dashboard
  • Revenue by location & brand
  • Leads by channel (calls, forms, clicks)
  • GBP + Yelp performance across all brands
  • Review velocity & sentiment trends
  • Listing completeness scores per platform
Franchise dashboard
  • Local map pack rankings
  • Lead volume this month vs. last month
  • Review count & average rating
  • Profile completeness score
  • Action items & response alerts
The shift this role drives
From “we rank in X cities” to “local search and reputation drove $X in booked jobs across Y locations this month.”
Cross-functional operating model
Partnering across Marketing, Product,
Analytics, and franchisees
This role sits at the center — translating strategy into execution across every stakeholder group
Marketing
  • Align local content with brand campaigns
  • Co-own review acquisition messaging
  • Share competitive market intelligence
Product & tech
  • Integrate listings data into CRM
  • Surface reputation scores in ops tools
  • API connections for GBP and review platforms
Analytics
  • Build attribution models per location
  • Connect calls and form fills to revenue
  • Design dashboards for both audiences
Franchise stakeholders
  • Train on review response standards
  • Coach regional managers on compliance
  • Share local performance benchmarks
Vendor management
Managing platforms and guiding internal teams
At Neighborly's scale, vendor relationships and internal enablement are as important as the strategy itself
Vendor governance
  • Own the Yext / listings management contract and SLAs
  • Evaluate Podium, ReviewTrackers, and alternatives quarterly
  • Negotiate pricing based on 5,500-location scale
  • Quarterly vendor review against KPI benchmarks
Internal enablement
  • Playbooks for franchise operators on reviews and posts
  • Training for regional managers on compliance
  • Escalation paths for critical reputation issues
  • Monthly coaching for underperforming markets
Competitive intelligence
Monitoring every market continuously
Know what competitors are doing in each local market — and respond before they lock in an advantage across any platform
Map pack share
Per market, per brand
Review velocity
Competitor volume trends
GBP & Yelp activity
Posts, photos, updates
Content growth
Local page expansion
Outcome
Identify underperforming markets fast — and roll out the winning playbook before competitors cement their lead on any platform.
AI & automation
Scaling performance without scaling headcount
AI and automation are the difference between managing 50 locations well and managing 5,500 locations well
Automate
  • Review request triggers on service completion
  • AI-drafted responses for common review themes
  • Listing accuracy drift alerts
  • Duplicate detection and suppression
  • Performance anomaly alerts per location
AI-powered content
  • Location page content with local variation injection
  • FAQ and cost guide generation per service category
  • Optimization for Google AI Overviews and voice search
  • Sentiment theme extraction from review data
90-day plan
What I'd do in the first 90 days
Fast foundations — audit, align, and deploy before scaling across the full network
Days 1–30 — Listen & audit
Understand the current state
Audit GBP, Yelp, Meta, and Apple Maps across top brands · Map existing tools and vendor contracts · Interview franchise stakeholders · Identify the 20% of locations causing 80% of visibility issues
Days 31–60 — Build the foundation
Governance, tracking, and tools
Deploy tracking and attribution infrastructure · Establish listing standards and response playbooks · Configure Yext / Podium / ReviewTrackers · Stand up corporate and franchise dashboards
Days 61–90 — Launch & prove
Show early results
Roll out GBP optimization and review system to top-volume brands · Deliver first reputation health report · Present KPI baseline and 6-month targets to leadership
12-month roadmap
Full deployment across all 5,500 locations
Three phases from foundation to full-scale optimization — across all brands and all four platforms
Phase 1 — 0 to 90 days
Foundation
Audit top brands · Governance framework · Tracking & attribution infrastructure · Listing standards deployed across GBP, Yelp, Meta, Apple Maps
Phase 2 — 3 to 6 months
Optimization rollout
GBP optimization across all locations · Review system live via Podium · Location page improvements · Reputation dashboards operational for corporate and franchisees
Phase 3 — 6 to 12 months
Scale & expand
Service area content at scale · AI search optimization · Full Yelp + Meta + Apple Maps governance · Competitive market optimization per brand
Why I'm the right fit
Qualifications mapped to the role
Everything this role requires — done at scale, in multi-location environments
1
Multi-location local SEO & listings experience
Deep expertise managing listings and reputation across large franchise networks on GBP, Yelp, Meta, and Apple Maps
2
GBP optimization and review strategy
Map pack positioning, category strategy, review velocity programs, and response frameworks — built and measured at scale
3
Hands-on with Yext, Podium, ReviewTrackers
Tool selection, configuration, vendor management, and ROI reporting across the full platform stack
4
Data-driven decision making
Analytics-first approach — KPIs tied to revenue, attribution models per location, executive-level reporting
5
Proven scale and stakeholder communication
Track record building scalable programs and communicating performance clearly to franchise operators, regional managers, and executive teams
Investment rationale
Why this strategy delivers ROI for Neighborly
This amplifies the digital investments Neighborly is already making — not a net-new initiative
1
Extends existing Neighborly infrastructure
Builds on CRM, scheduling, and performance visibility tools already deployed across all 19 brands
2
Captures demand that already exists
Local search intent for Neighborly's service categories is high — this captures it instead of ceding it to competitors
3
Standardizes all 5,500 locations across all platforms
Every brand, every market, every platform benefits — not just top performers who figured it out on their own
4
Creates clear, attributable revenue impact
Every dollar tied directly to booked jobs — tracked per location, per brand, per platform
5
Scales without proportional headcount
Automation, AI, and governed systems do the heavy lifting across the franchise network
Success metrics
Year 1 targets
Realistic, measurable, revenue-tied outcomes — not just ranking improvements
+10–20%
Organic visibility across brand locations
+10–20%
Qualified leads from local search
80%+
Locations receiving reviews monthly
90%+
Listing completeness across all 4 platforms
Revenue per locationClear attribution for every booked job
Improved local market shareMeasurable gains in map pack presence
Next steps
How I'd hit the ground running
Five actions from hire date to first results — clear, accountable, fast
1
Align with leadership on KPIs and platform priorities
Agree on revenue-first model and which brands and platforms to tackle first — before any execution begins
2
Audit top brands: Aire Serv, Mr. Rooter, Mr. Electric
Deep-dive the highest-volume brands first — identify gaps across GBP, Yelp, Meta, and Apple Maps
3
Deploy tracking and attribution layer
GA4, CallRail, CRM integration — establish measurement before scaling any content or listings work
4
Activate GBP optimization and review system
Start with highest-volume locations — show early wins within 60 days to build stakeholder confidence
5
Scale to full network with governance in place
Roll out standardized execution across all 5,500+ locations on all four platforms using proven playbooks
Platform strategy summary
All four platforms — ownership at a glance
How each platform is managed, what's automated, and the primary KPI driving performance
Google Business Profile
Corporate controls categories, attributes, UTMs. Franchisee posts weekly. Yext syncs bulk updates.
KPI: Map pack share + call volume
Yelp
Enhanced profiles. Automated response SLA via ReviewTrackers. Duplicate suppression ongoing.
KPI: Review velocity + rating trend
Meta (Facebook)
Location pages synced via Yext. Review monitoring active. Hours and services kept current.
KPI: Profile completeness + engagement
Apple Maps
Apple Business Connect claimed. NAP consistent. Showcards and photos updated quarterly.
KPI: Claim rate + accuracy score
Projected results — year 1
What success looks like at full deployment
All five pillars working together — across every Neighborly brand, every market, every platform
+20%
organic visibility across all locations
BaselineYear 1 goal
+20%
qualified leads from local search
BaselineYear 1 goal
80%+
locations receiving ≥1 review/month
~30% today80% target
90%+
listing completeness across 4 platforms
~50% today90% target
The bottom line
5,500 locations performing like your top 10% — with clear revenue attribution, a governed reputation system, and a consistent presence across every major platform.