Strengthen machine-readable structure
Use clear titles, headings, internal links, descriptive content, and appropriate structured data that matches what visitors can see.
AI search readiness audit
Review the crawlable content, structure, identity, trust, and entity signals that support clear interpretation across traditional search and emerging AI-assisted discovery.
No card required · Eight category scores · A sample of key findings
Turn diagnostics into direction
AI discovery builds on many of the same foundations as good search and trustworthy publishing: accessible pages, clear language, consistent identity, useful evidence, sound structure, and crawlable content. Improve those foundations instead of chasing unsupported shortcuts.
Use clear titles, headings, internal links, descriptive content, and appropriate structured data that matches what visitors can see.
Make the organization, authorship, services, contact details, and relevant policies consistent and easy to verify.
Answer real audience questions with specific, original information rather than thin pages written only to target phrases.
What the audit checks
No single score explains the whole visitor experience. Review the areas together, then act in priority order.
Review loading speed and the experience visitors have while key pages become usable.
Surface detectable barriers that can make content and controls harder to use.
Check signals that help search engines discover, understand, and present key pages.
Review structure and identity signals that can help AI systems interpret the site.
Look for connections to Google Maps and major social profiles where relevant.
Review contact, company, policy, and identity signals that support confidence.
Find detectable browser, safety, and implementation issues worth investigating.
Check whether visitors can understand the offer and find a clear next action.
A practical workflow
Enter the public website address to review the current detectable signals.
Use the ranked findings to separate urgent issues from worthwhile later improvements.
Hand the evidence to the right person, make the change, and retest rather than assuming it worked.
From finding to fix plan
SiteFixPlan groups the evidence, explains why it matters, and puts the highest-priority work first.
Questions, answered
It is the practice of making useful web content easier for AI-assisted search and answer systems to discover, interpret, evaluate, and potentially reference. It overlaps heavily with technical SEO, content quality, structured information, and trust.
No. Selection and citation are controlled by each system and can change. You can improve crawlability, clarity, usefulness, identity, and evidence, but you cannot guarantee inclusion.
Appropriate structured data can clarify entities and page meaning for systems that use it, but it must match visible content and is only one signal. It does not replace useful, accessible, well-organized information.
Create pages for genuine audience needs, not separate near-duplicates for each discovery channel. Strong pages can support traditional search, AI-assisted discovery, and human decision-making at the same time.
Start with the site you have today
Get your overall score, eight category scores, and a sample of prioritized findings free.
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