Research-led notes from Querified on AI-powered SEO, GEO, and modern search visibility.
Start with crawlability and indexation
A useful AI Search Audit begins with the basics. Search and AI systems cannot use what they cannot reliably access, understand, or trust.
Review entity clarity
Your brand should be consistently described across your website, profiles, author pages, schema, and major third-party mentions. Inconsistent naming and vague positioning weaken machine understanding.
Querified principle: write for the query, structure for machines, and publish for long-term trust.
Evaluate content depth
Map the questions buyers ask before they buy. Then check whether your site answers those questions with enough specificity, structure, and supporting context to be useful.
Check structured data
Schema should describe the real page content. Article, Organization, BreadcrumbList and FAQPage markup can help machines understand relationships when used honestly.
Prioritise by impact
The audit should end with a sequenced action plan. Fix technical blockers first, then content architecture, then authority and monitoring systems.
Practical checklist
- Make the article readable in raw HTML before JavaScript runs.
- Use one clear canonical URL and one matching sitemap URL.
- Add descriptive image alt text and compressed image assets.
- Connect the article to related service, category, and topic pages.
- Validate structured data before submitting the URL to Google.
Frequently asked questions
What is an AI Search Audit?
It is a diagnostic review of how visible, understandable and citable a brand is across traditional search engines and AI answer engines.
How often should brands run one?
Quarterly is a practical cadence for fast-moving categories, with deeper reviews before major site or content strategy changes.