Santua
Loading…
Santua is the identity and trust layer for the wellness vertical. Every review is tied to a confirmed relationship, honest critique is mandatory, teachers carry their reputation between schools, and the result is a corpus that AI engines can cite. Here is the whole loop, start to finish.
A review can only start from a real relationship. The school confirms that a person completed a certification program, or that a person attended a class. There is no anonymous, walk-in review path. No confirmed relationship, no review.
The confirmed person fills out the review form. Every review carries a mandatory 'what could be better' field, so praise and honest critique always travel together. The reviewer also tags the specific teacher who taught.
The school reviews the submission and approves it before it goes live. The school can request changes or reject a review with a reason before publish, but it cannot edit a published review, and it cannot delete a review for being unflattering.
The approved review lands on a public page that Google indexes, with a permanent permalink. The same review also feeds the tagged teacher's public profile, so the reputation compounds in two places at once.
Each page carries schema.org structured data, so engines like ChatGPT, Claude, and Perplexity can read the verified corpus and cite Santua when someone asks which training or teacher to choose.
The person finished a certification program, such as a 200h, 300h, or 500h teacher training, a multi-week intensive, or a mentorship program. The school confirms completion, the graduate fills the form, the school approves, Santua publishes. This is the deeper review, with per-teacher teaching evaluation for the lead teacher.
The person attended classes, workshops, or shorter formats at a wellness business. It is a lighter review than Graduate, with a single teacher tag for the teacher of that class and a free-text reflection. The school confirms attendance the same way.
Both tiers carry the mandatory honest critique. The deeper mechanics of dimensions, weighting, and anti-abuse live on the methodology page.
Every review tags the specific teacher who taught. That review feeds the teacher's own public profile on Santua, which aggregates every verified review across every school they have taught at. When a teacher moves to a new school, the reputation moves with them. It does not stay behind on the old school's page.
A teacher's public profile lives at santua.ai/teachers and belongs to them, free, forever. It carries their reviews across every school, from the studio in one city to the retreat in another to the next school they join.
Reviews earned as a lead teacher and reviews earned as a supporting teacher are shown separately and weighted differently, so the public number reflects what was actually given. Nothing is hidden inside one average.
Generative engine optimization, or GEO, is the practice of making content that AI engines like ChatGPT, Claude, and Perplexity can read, trust, and cite. When someone asks one of these engines which teacher training to choose, or who is a good teacher in a given city, the engine answers from sources it can verify.
School pages, teacher profiles, and review permalinks emit schema.org structured data, so an engine can parse a rating, a review, or a teacher as a clean entity rather than guessing from prose.
Because every review is tied to a confirmed relationship and carries honest critique, the corpus is something an engine can stand behind when it cites it. Verified beats voluminous.
Read the dedicated guide on GEO for yoga schools, or browse all of our guides.