AI search audit
vamfi.org
Top 5 things to fix
Ranked by severityAI crawler access
Your robots.txt blocks these AI crawlers: ClaudeBot, Google-Extended, GPTBot. If a crawler cannot fetch the page, it cannot cite it — this is a hard prerequisite.
Fix: Remove the "Disallow: /" under ClaudeBot, Google-Extended, GPTBot in robots.txt, or add explicit "Allow: /" rules for them.
Question-framed headings
No H2 or H3 headings are phrased as questions. AI engines retrieve on query-passage similarity — question headings are the strongest match signal.
Fix: Rewrite 2–4 section headings as direct questions users would ask (e.g. "How do I…?", "What is…?", "Why does…?").
Direct-answer block after question headings
No question headings found, so there are no direct-answer blocks to evaluate.
Fix: Add question headings (see previous check), then place a short 40–300 character declarative answer paragraph immediately after each.
Entity schema (Organization/Person + sameAs)
No Organization or Person JSON-LD found. Entity disambiguation is how LLMs recognize who/what a page is about.
Fix: Add an Organization (or Person) JSON-LD block with name, url, and at least 2 sameAs links to authoritative profiles (Wikipedia, Wikidata, LinkedIn).
Copy-paste fixExpandCollapse
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "VAMFI Inc.",
"url": "https://vamfi.org/",
"description": "VAMFI (Virtual Agents Mastered for Industries) is an Ottawa-based R&D studio building agentic AI coworkers grounded in domain expertise, designed for clarity and reliability, to help humans focus on meaningful work by offloading repetitive tasks to dependable AI agents.",
"foundingLocation": {
"@type": "Place",
"name": "Ottawa, Ontario, Canada"
},
"contactPoint": {
"@type": "ContactPoint",
"email": "[email protected]",
"contactType": "general inquiry"
},
"sameAs": [
"https://en.wikipedia.org/wiki/VAMFI",
"https://www.linkedin.com/company/vamfi",
"https://twitter.com/vamfi_inc"
]
}
</script>Article schema with dates
No Article / NewsArticle / BlogPosting schema found. Without machine-readable dates, LLMs treat content as undated and prefer fresher sources.
Fix: Add an Article JSON-LD block with datePublished, dateModified, and author.name.
Copy-paste fixExpandCollapse
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "VAMFI — Virtual Agents Mastered for Industries",
"description": "VAMFI Inc. is an Ottawa-based R&D studio building agentic AI coworkers—grounded in your expertise, designed for clarity and reliability—so you can focus on meaningful work.",
"url": "https://vamfi.org/",
"datePublished": "2025-07-15",
"dateModified": "2025-07-15",
"author": {
"@type": "Person",
"name": "VAMFI Inc."
},
"publisher": {
"@type": "Organization",
"name": "VAMFI Inc.",
"url": "https://vamfi.org/",
"address": {
"@type": "PostalAddress",
"addressLocality": "Ottawa",
"addressRegion": "Ontario",
"addressCountry": "CA"
},
"contactPoint": {
"@type": "ContactPoint",
"email": "contact@vamfi.org",
"contactType": "customer support"
}
},
"about": {
"@type": "Thing",
"name": "Agentic AI Coworkers",
"description": "Virtual Agents Mastered for Industries — transparent, grounded AI agents designed to offload repetitive tasks and embed intelligence into enterprise workflows."
},
"keywords": "agentic AI, virtual agents, AI coworkers, enterprise AI, Ottawa AI studio, VAMFI, autonomous AI, workflow automation"
}
</script>See what AI sees about your site.
Audit any URL. Three pillar scores. A markdown action plan with ready-to-paste fixes. Free.
Run your audit