Rule Taxonomy
The rule taxonomy is the complete, published set of named checks Revvye's scanner runs against a public website, each mapped to a category, a source file, and the exact evidence pattern that triggers it. Revvye publishes this taxonomy in the open rather than keeping its scoring logic opaque.
Every score Revvye returns is built from a fixed, named set of rules — not a hidden or continuously shifting model. Each rule belongs to one of the categories in Revvye's eight-dimension framework (booking friction, local visibility, AI readiness, mobile, trust, CTA clarity, follow-up readiness, and service-page quality), and each rule specifies exactly what evidence pattern triggers it — for example, a LocalBusiness structured-data block that's missing a required telephone or address property.
Revvye publishes this rule taxonomy on its /methodology page specifically so operators (and their developers) can inspect why a finding fired instead of taking the score on faith. The stated principle is "we show our work: every score traces to a named rule and evidence." This is also why the taxonomy exists as a first-class artifact rather than internal scoring code: it is one of the three integrity commitments the product makes, alongside public-pages-only scanning and a no-fake-proof policy on samples, testimonials, and metrics.
When a fix roadmap or paid report cites a finding, it references the rule id directly, so the same finding can be independently verified against the public taxonomy rather than trusted blindly.
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