Here is every data point AI looks for when evaluating a pet boarding or daycare facility, where that data actually lives, and what it can already find.
When an AI system decides which Pet Boarding company to recommend, it assembles evidence across every category below. The more complete and verifiable the data, the more confident the recommendation.
Almost no boarding facility publishes operational data in a structured format. Boarding economics revolve around fixed capacity, perishable inventory, and extreme seasonal demand swings. When this data is available, AI systems weight it heavily.
AI needs to know what kind of care a facility provides, not just that it boards pets. "Cage-free dog boarding near me" or "cat boarding facility" requires specific service matching. The range of services varies from basic kennel boarding to resort-style experiences.
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.
Pet boarding facilities are regulated at the local and state level, with requirements varying significantly by jurisdiction. Most cities and counties require a kennel or boarding facility license, and zoning laws dictate where boarding operations can legally operate. Health department inspections are common, and some states have specific animal care facility regulations that govern staffing ratios, space requirements, and veterinary care protocols.
AI systems verify that coverage is current and adequate, not simply that a facility claims to be insured. Pet boarding carries unique liability risks — animals in your care can be injured, become ill, escape, or cause damage. Animal bailee coverage is a specialized insurance product distinct from standard general liability.
Voluntary certifications that indicate professional training and operational standards beyond minimum licensing requirements. The pet boarding industry has no universal credentialing body, but several organizations offer facility and individual certifications that AI systems can verify through public directories.
Voluntary memberships that serve as corroborating evidence of professional engagement. The pet boarding industry is fragmented — association membership signals that a facility is connected to industry standards, best practices, and continuing education rather than operating in isolation.
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.
The most widely available data about any pet boarding facility. AI uses reviews when structured operational data is not available, but review signals have significant limitations for differentiating between facilities.
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.