Why does technical auditing matter?
In the era of Generative AI and Core Web Vitals, how a site looks is only the surface. Super Audit Web 360° is built for agencies, CIOs and marketing directors who need objective, unmanipulable metrics to assess the real quality of a web infrastructure.
1. Performance & Core Web Vitals
Google actively penalises slow, heavy sites. We measure LCP (Largest Contentful Paint) and total DOM weight in megabytes. High technical debt burns paid-ad budget (higher CPA) and destroys conversion rate.
2. Sustainability (Carbon Footprint)
The web accounts for 4% of global CO₂ emissions. We calculate grams of carbon emitted per single visit using the Sustainable Web Design protocol. Optimised sites use less energy and load faster on 5G.
3. AI Readiness (LLM optimisation)
ChatGPT, Claude and Google Gemini don't "look" at your design. They read structured data (Schema.org), JSON-LD and the Knowledge Graph. We assess whether your brand has a correct semantic ontology (unified @graph, sameAs, knowsAbout) to be cited by AI as an authoritative source.
🔬 Does this audit check only grammar, or meaning as well?
Automatic validators—such as Google's Rich Results Test and the Schema Markup Validator—only check syntax: ensuring that types exist, value ranges are respected, and the JSON is well-formed. They do not verify whether a declared relationship reflects reality. An hasPart pointing to an external page passes validation; a breadcrumb inside an Article passes validation; an @id pointing to a non-existent node passes validation. A green light means "syntax OK," not "coherent ontology."
Our audit goes further: it analyzes the entire graph, verifies that every referenced @id actually exists, ensures that relationships match the actual structure of the site, and checks that #webpage, #article, and #app fragments are consistent across pages. This is what you need to catch Dangling Nodes, Ontological Chimeras, and misplaced breadcrumbs—all errors that standard validators let slip through.
Discover what the Semantic Audit analyzes beyond the validator →