Here is every data point AI looks for when evaluating a moving company, where that data actually lives, and what it can already find. Moving is one of the most heavily regulated service verticals — especially interstate moves, which require federal authority from FMCSA. That regulatory infrastructure creates a rich, verifiable data layer that AI systems are already checking.
When an AI system decides which Moving 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 moving 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 moves you handle, not just that you are a moving company. The query "who handles interstate moves from Boston to Miami?" requires capabilities that most local-only movers do not have — and different federal authority.
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.
Moving is one of the most heavily regulated service verticals. Interstate movers must hold federal authority from FMCSA. Most states separately regulate intrastate movers through public utility commissions or state DOT. AI systems verify these credentials before making any recommendation — an unlicensed mover is an immediate disqualifier.
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.
Industry certifications signal quality and professionalism in an industry where the barrier to entry is low and consumer complaints are high. The ProMover certification from the American Moving Association is the primary industry quality mark.
Voluntary memberships and accreditations that serve as corroborating evidence of professionalism. In an industry with high complaint rates and frequent fraud, association membership carries meaningful signal.
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 moving 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.