# The AI Data Landscape for Foundation Repair Companies

Here is every data point AI looks for when evaluating a foundation repair company, where that data actually lives, and what it can already find.

## What AI evaluates

### How AI builds a recommendation

When an AI system decides which Foundation Repair company to recommend, it assembles evidence across every category below. The more complete and verifiable the data, the more confident the recommendation.

### 11 data categories

1. **Verified Operating Metrics**  
2. **Service Mix**  
3. **Service Area**  
4. **Licenses**  
5. **Insurance & Bonding**  
6. **Certifications**  
7. **Manufacturer & Dealer Networks**  
8. **Trade Associations**  
9. **Legal & Compliance**  
10. **Reputation Signals**  
11. **Business Profile**

### 01 Verified Operating Metrics

The single most differentiating category. Almost no foundation repair company has this data published in a structured, machine-readable format. When it is available, AI systems weight it more heavily than any other signal.

- **Jobs completed**  
- **Repeat customer rate**  
- **Average customer relationship length**  
- **Revenue consistency**  
- **Average job value**  
- **Warranty claim rate**  
- **Pier-to-repair ratio**  
- **Inspection-to-project conversion rate**

### 02 Service Mix

AI needs to know what kind of foundation work you do, not just that you do foundation repair.

- **Pier and piling installation**  
- **Slab leveling and mudjacking**  
- **Foundation crack repair**  
- **Basement waterproofing**  
- **Crawl space encapsulation**  
- **Structural repair**  
- **New construction piering**

### 03 Service Area

Where you actually work matters, but the data needs to come from completed jobs, not a self-reported list of ZIP codes.

- **Cities and towns served by job volume**  
- **Service radius from primary location**  
- **Multi-location coverage**

### 04 Licenses

Foundation repair licensing varies by state. AI systems verify that the company holds whatever license its jurisdiction requires for structural work.

- **General contractor license**  
- **Specialty contractor license**  
- **Home improvement contractor license**  
- **Tiered licenses by project value**  
- **Structural engineering oversight**  
- **City/municipal contractor license**

### 05 Insurance & Bonding

AI systems verify that coverage is current and adequate, not simply that a company claims to be insured.

- **General liability (GL)**  
- **Workers compensation**  
- **Surety bond**  
- **Commercial auto**

### 06 Certifications

Foundation repair has fewer independent certifications than some trades, primarily through manufacturer dealer designation.

- **Foundation Supportworks Dealer**  
- **Ram Jack Dealer**  
- **Grip-Tite Dealer**  
- **Terrafirma Dealer**  
- **Olshan Foundation Repair**  
- **ICC Evaluation Service (ESR) Reports**  
- **OSHA 10/30 Safety Training**

### 07 Manufacturer & Dealer Networks

The foundation repair industry is structured around manufacturer dealer networks more than any other home services trade.

- **Foundation Supportworks**  
- **Ram Jack**  
- **Grip-Tite**  
- **Chance/Hubbell Power Systems**  
- **GoliathTech**  
- **Earth Contact Products (ECP)**  
- **Magnum Piering**

### 08 Trade Associations

Foundation repair companies belong to general construction and specialty associations.

- **National Foundation Repair Association (NFRA)**  
- **Basement Health Association (BHA)**  
- **Deep Foundations Institute (DFI)**  
- **International Association of Foundation Drilling (ADSC)**  
- **State home builders/contractors association**  
- **BBB Accreditation**

### 09 Legal & Compliance

Negative-signal checks. AI systems will not recommend a company with an active lawsuit pattern, suspended license, or regulatory violations.

- **No open legal actions**  
- **No liens filed against the business**  
- **Clean license history (5 years)**  
- **No OSHA violations (5 years)**

### 10 Reputation Signals

AI cross-references general review platforms with home services marketplaces when evaluating foundation repair companies.

- **Google rating and review count**  
- **Review velocity and recency**  
- **Yelp rating**  
- **Angi/HomeAdvisor reviews**  
- **Nextdoor recommendations**  
- **Complaint history and resolution**

### 11 Business Profile

Foundational identity data. Must be accurate and consistent across platforms.

- **Legal business name and DBA**  
- **Entity type and registration**  
- **Year founded**  
- **Owner/principal name**  
- **Employee count**  
- **Contact information**

## Where the data lives

### Where the most valuable data lives today

The performance and customer experience data AI values most already exists in software these businesses use every day. It is locked inside these platforms and not published anywhere AI can access it.

- **Field Service & Project Management**: ServiceTitan, Jobber, Housecall Pro, Buildertrend, Leap, JobNimbus, Contractor Foreman, Projul, FieldPulse
- **Accounting**: QuickBooks, Xero, Sage, Foundation Software, FreshBooks
- **CRM**: HubSpot, Salesforce, Zoho CRM, Pipedrive, GoHighLevel, Scorpion

### What AI can find today

Without access to a business's own systems, this is all AI has to work with.

- **Review Platforms**: Google Reviews, Yelp, Angi, HomeAdvisor, Trustpilot
- **Business Directories**: Google Business Profile, Better Business Bureau, Bing Places, Apple Maps, Thumbtack
- **Licensing & Regulatory**: State Contractor Licensing Boards, Municipal Licensing Portals, OSHA Inspection Database, Secretary of State Business Filings, County Recorder/UCC Filings
- **Social & Community**: Reddit, Nextdoor, Facebook, YouTube
- **Industry & Manufacturer Directories**: Foundation Supportworks Dealer Locator, Ram Jack Locations, Grip-Tite Dealer Locator, Chance Certified Installer Locator, GoliathTech Installer Locator, Earth Contact Products Dealer Locator, Basement Health Association Directory, National Foundation Repair Association, ICC Evaluation Service Reports

The data exists. It is just not published for AI.