01. Executive Summary
AI Mention Score, rubric rollup, and top three blockers standing between you and citations.
Sample report tour
The free sample walks you through the exact rubric, schema diff, and content checklist we send paying customers. Use it to show stakeholders why restructuring a single URL can unlock ChatGPT citations.
What you receive
AI Mention Score, rubric rollup, and top three blockers standing between you and citations.
Entities, schema, answerability, verifiability, crawlability, ingestion, authority, prompts, and evidence.
JSON-LD with entity IDs, `sameAs` links, `@id` graph relationships, and validation warnings.
Rewrite instructions for headings, paragraph structure, claims, and proof placement.
Which external citations are missing (or weak) and where to add them so AI trusts the copy.
Example questions your buyers ask AI plus guidance to make sure those prompts mention you.
Schema snippet
We highlight new nodes in green and conflicting markup in amber so your dev team knows what to change.
{
"@context": "https://schema.org",
"@type": "Product",
"@id": "https://example.com/#product-42",
"name": "Example AI Compliance Suite",
"description": "LLM-ready compliance automation for fintech teams.",
"audience": {
"@type": "BusinessAudience",
"name": "FinTech Risk Lead"
},
"offers": {
"@type": "Offer",
"price": "1200",
"priceCurrency": "USD"
},
"sameAs": [
"https://www.g2.com/products/example",
"https://www.linkedin.com/company/example"
]
}
Implementation blueprint
We call out missing entities, provide canonical names, and link to validation sources (`sameAs`, IDs, glossary entries).
Each section shows which prompt it must answer, what proof is missing, and how to structure the paragraph.
Checklist of citations, studies, quotes, or customer proof required to pass verifiability checks.
Sitemaps, feeds, internal links, and structured data quality gates keep AI crawlers on the right rails.