American Express
Priority opportunity: AEO
American Express's lowest engine is AEO at 58 — a 42-point gap to a perfect score. That is where citability is won or lost first.
Summary
American Express (americanexpress.com) is a structurally strong entity with a fully confirmed Wikipedia article, Wikidata record (Q194360), active LinkedIn and Crunchbase presence, dense editorial citation across named outlets, and Q1 2026 revenues of $18.9 billion — giving it near-maximum GEO entity signals. Its primary structural gaps are the absence of confirmed product-level and card-comparison schema markup on americanexpress.com (no Product, FinancialProduct, or BreadcrumbList types surfaced in this run), and a thin answer-first content architecture on key card and commercial product pages that limits extractability for structured-answer surfaces.
The gap, closed.
This report shows the score layer. The full Reflection for American Express — 9 prioritized findings across AEO, GEO, and SEO, a foundational discoverability checklist, and a sequenced action plan — comes with an engagement.
Mirror measures the gap. Mirror Studio closes it — the studio's delivery arm, run by Daniels AI. Five departments, each a seat staffed by people or agents:
- On-Site Architecture — answer-first pages, structured specs, schema depth
- Content & Copy — writing built to be the cited answer
- Earned Coverage — the third-party sources AI trusts
- Platform & Entity — Wikidata, the Knowledge Graph, the foundational checklist
- Shadow — your score, tracked over time
CC BY 4.0 · Produced with Mirror.