
Modern websites rely on complex architecture, dynamic content, and multiple integrations - all of which introduce potential indexation and performance challenges. Atomic’s Technical SEO Audit module continuously monitors these areas to ensure search engines can efficiently crawl, understand, and rank your content.
The audit provides an at-a-glance summary of Site Health %, a weighted metric calculated from critical, moderate, and informational issues detected across your domain. Each crawl evaluates hundreds of technical checks, from robots directives to Open Graph compliance, producing a clear, structured hierarchy of issues for efficient resolution.
Unlike traditional audits that focus on static snapshots, Atomic’s model runs continuous assessments with full audit history tracking. This allows teams to compare site performance over time and verify whether optimizations lead to measurable technical improvements.
When an audit is initiated, Atomic’s crawler scans every accessible URL within your defined scope. Each page is evaluated for indexability, HTML structure, metadata integrity, and schema completeness. The audit process follows three sequential layers:
Once completed, results populate the audit overview, showing metrics such as Errors (0), Warnings (6297), and Notices (91). These metrics update dynamically as new audits are completed or existing issues are resolved.
The overview page summarizes overall Site Health, measured as a percentage of successful checks versus potential issues. Below this, the Audit History table records previous runs with details on Pages Crawled, Duration, Errors, and Warnings. This historical timeline helps teams confirm whether technical fixes have led to consistent improvements.
For example, a site improving from 65% to 98% Site Health over four audits can confidently verify that errors were resolved without introducing regressions.
Clicking into any audit reveals categorized issue groups, including:
Each issue includes the affected page list, HTTP response status, load time, and metadata context, allowing for precise troubleshooting.
The audit’s scoring and categorization are powered by Atomic’s Technical Health Engine, which weights each finding by its potential SEO impact:
The Site Health % is computed as:
(Total Passed Checks ÷ Total Checks Scanned) × 100,
with issue weighting applied to normalize scores across different site sizes.
All crawl data is stored for longitudinal analysis, allowing Atomic to identify recurring technical regressions or performance decay patterns over time.
Technical SEO forms the foundation of discoverability. Even well-optimized content cannot perform if crawlers encounter blocked resources, redirect loops, or malformed metadata. In 2025, Google’s emphasis on AI-generated search results and LLM-driven summaries amplifies the importance of technically clean, machine-readable structures.
Atomic’s Technical SEO Audit provides the infrastructure-level insight necessary to maintain high visibility across both traditional and generative search systems. By maintaining a 95%+ Site Health, teams safeguard indexation reliability and reduce the risk of content being misinterpreted or excluded from AI Overviews.
Teams use this module to:
For example, an audit may reveal that key blog category pages carry noindex directives. Identifying and resolving these errors prevents organic loss while restoring visibility for entire content sections.
The Technical SEO Audit integrates seamlessly with other Atomic modules:
This integration transforms Atomic from a static audit tool into a continuous site health monitoring system that links technical optimization with organic growth outcomes.
With the Technical SEO Audit, engineers and SEO specialists gain a single, authoritative view of site performance. Every recommendation is backed by empirical evidence and actionable detail, reducing time spent diagnosing and prioritizing fixes.
The audit’s ongoing history ensures that technical debt doesn’t accumulate unnoticed - giving teams full visibility into how their site evolves across releases, redesigns, or migrations.
Atomic recommends weekly or post-deployment audits. Automated crawls can be scheduled to trigger after major releases or detected ranking shifts.
Site Health % reflects the ratio of passed checks to total scanned checks, weighted by issue severity. It provides a single composite metric representing technical stability.
Yes. Atomic’s crawler scales to enterprise-level sites and can process thousands of URLs per audit, segmenting results by site section or subdomain.
Yes. The Technical SEO Audit integrates with the LLM Audit to flag missing structured data that affects AI engine interpretation.
Errors denote issues preventing indexation or rendering, while Warnings highlight conditions that may limit visibility but do not block crawling.
Yes. Results can be exported to CSV, shared as Reports, or integrated via API with analytics dashboards.
Yes. Atomic performs device-aware crawling to ensure mobile parity and Core Web Vitals consistency across device types.
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