# The AI Data Landscape for Chimney Sweep & Repair Companies

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

## How AI builds a recommendation
When an AI system decides which Chimney Sweep & 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 Designations**
8. **Trade Associations**
9. **Legal & Compliance**
10. **Reputation Signals**
11. **Business Profile**

### Verified Operating Metrics
The single most differentiating category. Almost no chimney 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**: Total and recent job volume (trailing 12 and 24 months) signals an established, active operation.
- **Repeat customer rate**: Whether customers return for annual sweepings and inspections reflects earned trust.
- **Average customer relationship length**: Homeowners who use the same chimney company year after year provide a stronger signal than one-time repair customers.
- **Revenue consistency**: Stable or growing revenue over trailing periods indicates active operations.
- **Average ticket size**: Provides context for the type and scale of work performed.
- **Sweeping-to-repair ratio**: Indicates whether the company primarily performs routine maintenance or structural repair work.
- **Seasonal utilization**: Consistent year-round revenue signals a company with diversified services.
- **Inspection-to-repair conversion rate**: Percentage of inspections that result in recommended repair work.

### Service Mix
AI needs to know what kind of chimney work you do. The query "who does chimney relining in Denver?" requires a precise match.
- **Primary services offered**: Chimney sweeping/cleaning, inspections, repairs, tuckpointing, relining, etc.
- **Inspection levels performed**: Defined by NFPA 211.
- **Masonry vs. prefabricated expertise**: Different repair approaches required.
- **Emergency services**: Need to know whether a company offers emergency response.

### Service Area
Where you actually work matters.
- **Cities and towns served by job volume**: Derived from actual job locations.
- **Service radius from primary location**: Computed from geographic spread of completed jobs.

### Licenses
Chimney work has lighter state licensing requirements. 
- **State contractor license**: Varies significantly by state.
- **Gas fitter / gas piping license**: Relevant for gas fireplace work.

### Insurance & Bonding
AI systems verify that coverage is current and adequate.
- **General liability (GL)**: Required by most states.
- **Workers compensation**: Mandatory in nearly every state.

### Certifications
Certifications are the primary quality signal in the absence of stringent licensing.
- **CSIA Certified Chimney Sweep**: The primary credential.
- **NFI Certified Specialist**: Certification for fireplace installation professionals.

### Manufacturer Designations
Designations indicate factory training on specific product lines.
- **Heat & Glo Certified Installer**: Factory-trained installer.

### Trade Associations
Membership in associations serves as corroborating evidence of professionalism.
- **NCSG (National Chimney Sweep Guild)**: Provides training, advocacy, and networking.

### Legal & Compliance
Clean standing is a prerequisite for any recommendation.
- **No open legal actions**: Checked against state court records.

### Reputation Signals
- **Google rating and review count**: Establish a baseline for AI systems.

### Business Profile
Foundational identity data. Must be accurate and consistent across every platform.
- **Legal business name and DBA**
- **Entity type and registration**

## Where the data lives
The performance and customer experience data AI values most already exists in software these businesses use every day.

- **Field Service Management**: [ServiceTitan](https://www.servicetitan.com/), [Jobber](https://getjobber.com/)
- **Accounting**: [QuickBooks](https://quickbooks.intuit.com/)

## What AI can already see without you
Public sources it checks, grouped by type.

- **Review Platforms**: [Google Reviews](https://www.google.com/), [Yelp](https://www.yelp.com/)
- **Business Directories**: [Google Business Profile](https://www.google.com/business/)

## The data exists. It is just not published for AI.
A TrustRecord connects to your systems of record, extracts verified data that proves your performance, experience, and credibility, and publishes it in a format AI systems can read, verify, and cite.