Crawler access
Review robots directives, status codes, canonicals, and page availability.
Technical visibility
Find what makes your site harder for AI to understand.
Find crawl, rendering, structure, and entity problems that weaken the evidence available to AI answers.
A technical AI visibility audit examines whether important pages can be discovered, rendered, understood, and connected to a clear brand entity. It complements technical SEO rather than replacing it.
Strong content cannot help when systems cannot access or interpret it.
Blocked crawlers, client-only rendering, inconsistent canonicals, thin entity signals, and missing structured data can make useful evidence difficult to retrieve or trust.
What you can learn
Rendered content
Check whether important evidence exists in dependable HTML rather than fragile client-only states.
Structured meaning
Assess schema, headings, relationships, and entity consistency.
Actionable findings
Turn each issue into a scoped task with an expected outcome and a clear verification step.
How the analysis works
Define the market
Agree on the brand, competitors, audience, and technical surfaces before measurement begins.
Collect comparable evidence
Run the same buyer questions across the same AI engines, with every finding linked to the answer behind it.
Turn the gap into work
Turn the findings that matter into source, content, brand, or technical priorities, then measure again.
fihrist.io/dashboard/site-health
What your team can do with it
- Remove avoidable crawler barriers
- Strengthen entity consistency
- Make evidence easier to extract
- Give engineering a prioritized task list
Frequently asked questions
Does an llms.txt file guarantee visibility?
No. It can provide guidance, but it does not replace crawlability, content quality, or broader authority signals.
Is this different from technical SEO?
It shares the same foundations, then adds checks relevant to AI crawlers, answer extraction, and entity understanding.
Can technical fixes guarantee recommendations?
No. They remove barriers; relevance, evidence, authority, and competitive context still matter.
Related pages
See where your brand stands in AI answers.
Request early access. We will help you define the market, competitors, and buyer questions worth measuring.
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