Technical Analysis
HTML Audit
Analyze your pages for technical HTML issues that may affect AI Overview eligibility.
Overview
The HTML Audit scans pages in your tracking results for technical issues that can affect how AI systems parse and evaluate your content. Even high-quality content can be overlooked by AI Overviews if the underlying HTML has structural problems that make extraction difficult.
What Gets Checked
The audit evaluates each page across several technical dimensions:
- Heading hierarchy — proper use of h1 through h6 tags in logical order
- Meta descriptions — presence, length, and relevance
- Structured data validity — checks existing JSON-LD or microdata for errors
- Content accessibility — alt attributes, ARIA labels, and semantic HTML usage
- Page speed indicators — large images, render-blocking resources, and excessive DOM size
- Mobile-friendliness — viewport configuration and responsive layout signals
- Canonical URL — proper canonical tag implementation to avoid duplicate content issues
Audit Results
Results are organized into three severity categories:
- Critical — issues that actively block AI parsing of your content. These should be fixed immediately.
- Warning — issues that may reduce the likelihood of being cited in AI Overviews. Address these after resolving critical items.
- Info — suggestions for improvement that can enhance your content's AI-readiness over time.
Each reported issue includes the element affected, a description of the problem, and a recommended fix with specific guidance.
Running an Audit
- Select a page URL from your tracked results
- Click Audit to start the analysis
- Wait for the scan to complete — typically a few seconds per page
- Review the categorized results and prioritize fixes
Re-run the audit after making changes to confirm that issues have been resolved.
Common Issues
The most frequently detected issues include:
- Missing h1 — pages without a primary heading make it harder for AI to identify the main topic
- Multiple h1 tags — more than one h1 creates ambiguity about the page's primary subject
- Missing meta description — reduces the context available to AI models during evaluation
- Broken structured data — syntax errors in JSON-LD that prevent proper parsing
- Missing alt attributes — images without descriptive alt text reduce content accessibility
- Slow page load — pages that load slowly may be deprioritized by AI systems during content selection
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