01. Executive Summary
AI Mention Score, rubric rollup, and top three blockers standing between you and citations.
Sample report tour
Inside the AI Mention Scorecard
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
Every section is built for optimization, not vanity.
02. Rubric Deep Dive
Entities, schema, answerability, verifiability, crawlability, ingestion, authority, prompts, and evidence.
03. Schema Patch Kit
JSON-LD with entity IDs, `sameAs` links, `@id` graph relationships, and validation warnings.
04. Content Checklist
Rewrite instructions for headings, paragraph structure, claims, and proof placement.
05. Evidence Map
Which external citations are missing (or weak) and where to add them so AI trusts the copy.
06. Prompt Pack
Example questions your buyers ask AI plus guidance to make sure those prompts mention you.
Schema snippet
Copy/paste JSON-LD with ready-made IDs.
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
Every recommendation is tied to the rubric.
Entity therapy
We call out missing entities, provide canonical names, and link to validation sources (`sameAs`, IDs, glossary entries).
Answer-ready copy
Each section shows which prompt it must answer, what proof is missing, and how to structure the paragraph.
Evidence sourcing
Checklist of citations, studies, quotes, or customer proof required to pass verifiability checks.
Ingestion hygiene
Sitemaps, feeds, internal links, and structured data quality gates keep AI crawlers on the right rails.
FAQ
Questions about the sample report
Is the sample report generic, or will my report look different?
Your report is specific to the URL you submit. The sample shows the structure and depth, but the findings, scores, evidence gaps, and recommended fixes are generated from your page.
What is included in the paid report that matters most?
The practical value is in the diagnostics and implementation guidance: which claims need proof, which entities are weak or missing, what schema needs repair, and how the page should be rewritten for answerability.
Is this more useful for content teams or engineering teams?
Both. Content teams need the rewrite and evidence guidance, while engineering teams usually handle schema, ID graphs, feeds, and technical ingestion fixes.
Can one page really make a difference?
Yes, especially when that page is tied to a high-value topic, product, or conversion path. In many cases one strategically improved URL becomes the canonical source AI systems reuse.
What if I want help implementing the sample recommendations?
That is exactly what the consulting offer is for. You can use the sample to align stakeholders, then bring us in for execution.