Technical optimization for AI search.
Find the on-page issues that make your content harder to access and understand. Give your team a clear place to start.
Illustrative homepage audit. Scores describe technical health, not AI visibility.
Give your content a stronger foundation.
Before an AI engine can use your content, it needs a way to reach it and enough structure to understand it.
Spot noindex in HTML robots meta tags and explicit root blocks for supported named AI crawlers in robots.txt.
Check JSON-LD presence, H1 headings, metadata, and canonical tags. Give your content and brand useful context.
Spot potential render-blocking resources, image alt text gaps, and other on-page issues. Use severity to decide what deserves attention first.
Review indexing and crawler rules
Inspect HTML indexing signals and named AI crawler rules. The robots.txt check does not evaluate wildcard rules or the full policy.
- GPTBot root Disallow rule
- Found
- HTML robots meta noindex
- Not found
- llms.txt file
- Present
Less guesswork. A clearer next step.
Go from a technical finding to a practical repair. Each issue comes with context, a priority, and a prompt your team can use to get started.
- Understand the issueSee what the audit found and why it matters.
- Make the changeCopy the repair prompt for your developer or coding assistant.
- Check your progressRe-scan your saved page and review your audit history.
Example repair guidance. Your team reviews and applies the change.
Three views. One clearer picture.
Technical health is one part of your AI search strategy. Pair it with evidence of what AI says and how people find you.
- AI visibility
- Where your brand appears in AI answers, and which sources get cited.
- Agent analytics
- Observed AI crawler requests and sessions attributed to AI sources.
- Technical optimization
- On-page issues that affect access, page structure, and technical health.
Start with a clearer view of your website.
Find what needs attention. Know what to work on next.