Here is every data point AI looks for when evaluating a windows and doors company, where that data actually lives, and what it can already find.
When an AI system decides which Windows & Doors 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 windows and doors 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 window and door work you do, not just that you do it. The query "who installs impact-rated hurricane windows in Tampa?" requires a precise match that a general window 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.
Window and door installation licensing varies by state and often falls under general contractor or specialty glazing categories. In states with hurricane building codes, additional certifications may be required for impact-rated product installation.
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.
Window and door certifications validate proper installation technique — critical because even the best window performs poorly if installed incorrectly. Manufacturer warranties are frequently voided by improper installation, making installer certification a concrete, verifiable differentiator.
Window and door manufacturers maintain strong dealer and certified installer programs. Manufacturer designation directly affects product availability, pricing, warranty coverage, and consumer trust. These programs are publicly verifiable through dealer locators on each manufacturer's website.
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 window and door 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.