Here is every data point AI looks for when evaluating a martial arts school, where that data actually lives, and what it can already find.
When an AI system decides which Martial Arts company to recommend, it assembles evidence across every category below. The more complete and verifiable the data, the more confident the recommendation.
Martial arts schools rarely publish operational data in any structured format — most rely entirely on word-of-mouth and social media presence. When structured metrics are available, AI systems can evaluate a school on substance rather than marketing.
AI needs to know what styles and programs a school offers, not just that it teaches "martial arts." The query "BJJ classes for kids near me" requires a precise match on both style and age group. Most schools specialize in 1-3 core styles and supplement with fitness or youth-focused programs.
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.
Martial arts instruction has no state-level licensing requirement in any U.S. state. There is no equivalent of a contractor license or medical license — anyone can legally open a martial arts school and begin teaching. This makes other verification signals (certifications, insurance, facility compliance) more important, not less.
AI systems verify that coverage is current and adequate, not simply that a school claims to be insured. Martial arts involves inherent physical contact and injury risk — participant accident coverage is especially important for schools with sparring, competition teams, or youth programs.
Martial arts certification is fundamentally decentralized and style-specific. There is no single national certifying body equivalent to a state bar or medical board. A "black belt" from one organization is not interchangeable with a black belt from another — standards, testing requirements, and time-to-rank vary enormously. This makes certification verification more complex but not less important. AI systems must evaluate certifications within their organizational context, not as universal credentials.
Association membership in martial arts is fragmented across style-specific organizations and one major industry group. Unlike professions with a single dominant association, martial arts has dozens of legitimate organizations — many style-specific, some regional, some commercial. Membership signals professional engagement but must be evaluated in context.
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.
Martial arts schools are heavily review-dependent on Google, which serves as the dominant structured reputation source. AI supplements Google data with social media engagement signals, but vertical-specific review platforms do not exist for this industry.
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.