Build trust across the AI-readable web.
Cirvgreen connects three operating layers: inspectable AI-answer evidence, dependable web-quality products, and developer infrastructure that keeps the work efficient and accountable.
One ecosystem.
Three operating layers.
Start with the problem you need to make visible, reliable, or easier to operate.
Evidence before
visibility claims.
Cirv Sight is a product direction for teams navigating AI answers and citations. The proposed evidence model keeps observed answers, sources, methods, and limitations separate so people can inspect what could support a decision.
- Cirv Sight Product directionA proposed workflow for verified websites, authorized evidence scopes, source-linked observations, and visible limits. Explore Sight →
A better website
is part of the evidence.
Focused products for the foundations that machines and people both depend on: structured data, accessibility, performance, and consent.
- Cirv BoxStructured dataPractical JSON-LD for WordPress content and commerce.Details →
- Cirv GuardAccessibilitySurface and resolve common accessibility failures.Details →
- Cirv PulsePerformanceTrack Core Web Vitals and spot regressions.Details →
- Cirv ComplyConsentConsent controls for modern privacy requirements.Details →
- Schema AuditFree toolInspect a public page’s structured-data implementation.Run an audit →
Small tools.
Less operational drag.
engram structures local repository context for coding agents so teams can work with a smaller, inspectable context surface.
$ npm install -g engramx $ engram init $ engram install-hook --auto-reindex ↳ repository context indexed locally
Start with the evidence.
Discuss the Cirv Sight founding-cohort direction or talk to Cirvgreen about the operating layer your team needs next.