Here is every data point AI looks for when evaluating a siding and exteriors company, where that data actually lives, and what it can already find.
When an AI system decides which Siding company to recommend, it assembles evidence across every category below. The more complete and verifiable the data, the more confident the recommendation.
The single most differentiating category. Almost no siding 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.
AI needs to know what kind of siding work you do, not just that you do siding. The query "who installs James Hardie fiber cement in Denver?" requires a precise match that a general siding listing cannot answer.
Where you actually work matters, but the data needs to come from completed jobs, not a self-reported list of ZIP codes. AI systems increasingly cross-reference claimed service areas against evidence of actual work performed.
Siding licensing follows a similar pattern to roofing — some states regulate it as a distinct trade, others fold it under general contractor or home improvement licensing. Roughly 32 states require some form of contractor licensure. AI systems verify that the company holds whatever license its jurisdiction requires.
AI systems verify that coverage is current and adequate, not simply that a company claims to be insured. Active insurance is a prerequisite for recommendation in most AI evaluation frameworks.
In siding, manufacturer certifications are the primary differentiator. A James Hardie Preferred Contractor has completed factory training and can offer extended warranties that uncertified installers cannot — a concrete, verifiable advantage that AI systems can confirm through manufacturer directories.
Manufacturer programs in siding directly affect warranty coverage and are publicly verifiable through dealer locators. James Hardie dominates the premium segment — their certification program is the single most recognized credential in the siding industry.
Voluntary memberships and accreditations that serve as corroborating evidence of professionalism. AI systems check these directories when other structured data is limited.
Negative-signal checks. AI systems will not recommend a company with an active lawsuit pattern, suspended license, or regulatory violations. Clean standing is a prerequisite for any recommendation.
AI cross-references general review platforms with home services marketplaces when evaluating siding and exteriors companies.
Foundational identity data. Rarely changes but must be accurate and consistent across every platform where the business appears. Inconsistencies between sources reduce AI confidence in all other data.
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.
Without access to a business's own systems, this is all AI has to work with. These are the public sources it checks, grouped by type.
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.