Scoring Methodology

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On this page
  1. Overview
  2. Scoring dimensions
  3. SEO score weighting
  4. Severity and diminishing returns
  5. Data sources

Overview

Every NOXEL SEO scan runs a website through a set of technical, content, schema, and performance checks. Each check that fails is logged as an issue with a severity level (critical, warning, or info) and a set of impact scores. Those issues are converted into the 0–100 scores shown in your dashboard using the logic described below.

This page describes the actual scoring logic used in production — not a simplified marketing summary.

Scoring dimensions

Every issue found during a scan is scored across four independent impact dimensions:

These are then aggregated by category into five component scores: Technical, Content, Performance, Schema, and Crawl.

SEO score weighting

The overall SEO score is a weighted combination of four of those component scores:

ComponentWeight
Technical30%
Content35%
Crawl20%
Schema15%

The dashboard's Global Score also factors in Performance, Accessibility, and Best Practices scores, which are measured separately (see Data Sources below).

Severity and diminishing returns

Not all issues count equally. Each issue's impact is multiplied based on its severity:

Accumulated penalties are then converted to a 0–100 score using a diminishing-returns curve: the first issues found hurt a score more than later ones. A page with one critical issue drops further than a page with ten minor info-level issues would, but a page riddled with dozens of problems doesn't get penalized indefinitely — the curve flattens.

Data sources

NOXEL SEO scores are calculated from two types of data:

Any future NOXEL Research Lab statistic will state clearly which parts of the data are NOXEL-native versus sourced from a third-party API, in line with each provider's terms of use.

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