The GEO Page Audit

Use it for

GEARS: Lou’s Live GEO Schema Engine Demo

The prompt

# The GEO Page Audit

Evaluate any web page for Generative Engine Optimization readiness — how likely a retrieval-augmented generation system is to select this page as a citation source.

PAGE TO EVALUATE: $ARGUMENTS

MY EXPERTISE DOMAIN: [YOUR NICHE. Say "you decide" to infer]
MY PRIMARY AUDIENCE: [WHO YOU SERVE. Say "you decide" to infer]

STEP 0 — ROLE SELECTION: Assess the page type and adopt the evaluation lens: Conversion/sales page → CONTENT STRATEGIST; Article/blog → RETRIEVAL SYSTEMS ENGINEER; About/bio page → ENTITY RECOGNITION SPECIALIST.
STEP 1 — ENTITY & AUTHORITY SCAN: Map every entity. Assess: NAMED vs. generic, original IP vs. commodity expertise, entity relationships for knowledge graph edges.
STEP 2 — STRUCTURAL PARSABILITY: Clear primary claim within 150 words? Headings as matchable queries? FAQ/definition/claim-evidence-outcome patterns? Best and worst paragraph for direct AI citation.
STEP 3 — CITATION COMPETITIVENESS: For 3 realistic queries: generate the query, assess whether this page beats generic competitors, name the specific signal deficit.
STEP 4 — VERIFICATION: Is each finding genuinely about AI retrieval? Pattern-matching from SEO checklists? Writing quality vs. machine-parsability?
STEP 5 — PRIORITY REMEDIATION: 5 fixes rank-ordered by impact. For each: THE GAP, THE MECHANISM, DRAFT COPY.

QUALITY GATE: Every finding GEO-specific, every fix includes draft copy, simulated queries are realistic, correct lens for page type.

Worked example

No worked example recorded yet.