AEOps Leaderboard
The UK Fintech AEO Leaderboard
Composite score across 8 AEO signals: schema, freshness, structure, authorship, and cross-engine consistency. Higher score = stronger AI-citation profile this week.
Last updated: 1 May 2026, 12:38 · Week of 2026-04-27 · methodology
How is the composite score calculated?
- 25% Schema completeness (FAQ + HowTo + Article + Organization)
- 15% Page freshness (% pages updated < 90 days)
- 15% Comparison content (% pages with tables)
- 10% Listicle structure (% pages with lists)
- 10% Author bio presence
- 10% Direct answer block presence
- 10% Original research signal
- 5% Cross-engine consistency (cited by ≥2 of 3 engines)
Each component is normalised to 0–100 from observed rates across pages cited by ChatGPT, Perplexity, and Claude over the last 4 weeks. Brands need at least 3 citations in that window to appear. License: CC-BY-4.0 — please cite AEOps if you republish.
No fintech brands meet the citation threshold yet.
The leaderboard fills in once the pipeline has captured citations across at least one full pipeline run for UK fintech.
How to read this leaderboard
A high composite score means the brand's pages — across the URLs ChatGPT, Perplexity, and Claude actually cite — match the structural and content patterns associated with higher AI citation rates.
A low score isn't a verdict on the brand. It's a snapshot of how well the publicly-cited pages match observable AEO signals. The component bars show where the gap is — a brand strong on schema but weak on freshness has a clear next move.
For the weekly analysis behind the numbers, see the latest brief.