Tools · 02 · built here

The GEO Scorer.

Paste a URL or a block of text. The scorer decomposes it into atomic statements and predicts, claim by claim, how likely each one is to be retrieved and reproduced by a frontier model.

Built herev0.1 · preview
§ 01
What it scores

Six signals, weighted by survival.

The score is built from structural features of statements that make them easier for an answer engine to extract and attribute. The weights are editorial, not measured.

01 · high

Quantification

A claim with a number — percentage, count, date, measurement — gives a model something concrete to anchor.

02 · high

Source anchoring

Statements traceable to a named primary source are safer for a model to cite.

03 · high

Entity specificity

Named entities — companies, products, people, places — beat generic categories.

04 · medium

Qualifier proximity

Claims whose qualifier sits in the same sentence survive chunking intact.

05 · medium

Epistemic framing

Hedged, sourced prose reads as defensible. Confident marketing copy reads as an unsupported claim.

06 · variable

Contradiction risk

Claims the model already holds a competing belief about score lower until reconciled.

Need the real thing?

The GEO Scorer is a preview heuristic. The LLM Visibility Audit runs the full controlled probe against live AI models.

See the full audit →