Crawlability & access 25 pts
llms.txt + llms-full.txt published
Server-rendered, no JS walls for bots
Fast load / good first contentful paint
Authority signals 30 pts
Earned media / third-party citations
Outbound links to high-authority sources
Named expert quotes with credentials
Information Gain 28 pts
Original first-party data / surveys
Proprietary framework or benchmark
Hard statistics throughout content
Structure & entity 17 pts
Scannable formatting (headers, tables, TL;DRs)
Schema markup (FAQ, SoftwareApp)
Consistent entity naming across the web
GEO readiness score
0/100
,
At riskDevelopingCited-ready
A weighted self-assessment across the signals that drive AI citation. Weights reflect each signal's relative pull on Share of Model; your real-world results depend on execution quality and competitive context.
How this works
Twelve signals, grouped into the four levers that move AI citation: whether engines can access you, whether they trust you, whether you offer Information Gain they can't get elsewhere, and whether your content is structured to be parsed. Each is weighted by its relative impact, scored No / Partial / Yes, and summed to 100.
The ranked gaps surface the highest unrealized points first , the fastest path to being cited. Authority and original data carry the most weight because they're the hardest for competitors to copy.