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AI search visibility monitoring and remediation for financial institutions

Scanley helps banks, credit unions, lenders, and fintechs measure whether AI answer engines recommend or cite them. It repeatedly tests customer questions across major AI engines, explains visibility gaps, drafts fixes for review, and verifies whether approved changes improve results.

Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric → Last re-evaluated 21 September 2026.

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Paid
Web
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B2B
Cloud Hosted
Semi-Autonomous
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About

What It Is

Scanley is a managed answer engine optimization (AEO) service for financial-services organizations. It focuses on how banks, credit unions, lenders, and fintech platforms appear in answers from ChatGPT, Gemini, Perplexity, Claude, and Google AI...

What to Know

Scanley's main distinction is its approval-based workflow: it does not claim to publish changes automatically. Instead, it identifies the apparent cause of a missed citation—such as rate information lacking readable text or an effective date—drafts...

Key Features
Runs repeat AI-answer scans across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews
Tests a locked set of customer questions to track visibility movement over time
Separates being recommended in an answer from being merely named or appearing in map listings
Reports the engines, dates, runs, and method behind reported visibility figures
Identifies likely page-level causes of missed AI citations
Use Cases
A credit union checks whether AI assistants recommend it for local auto-loan or checking-account questions.
A lender investigates why competitors are cited with APRs in AI answers while its own rate page is omitted.
A fintech marketing team builds a repeatable, evidence-backed report on AI-answer visibility for leadership.
Agenticness: Guided Assistant

Executes tasks you assign, one step at a time, within narrow domains.

High evidence
Last evaluated: Sep 21, 2026

Dimension Breakdown

Action Capability
Autonomy
Planning
Adaptation
State & Memory
Reliability
Interoperability
Safety
Operator Sovereignty

Categories

Pricing
  • Free: AI scan covering five customer questions across current AI answer engines, with one scored report.
  • One-time audit: AI Visibility Audit includes a nine-pillar diagnosis and prioritized fix list; pricing is provided with the scan report.
  • Managed monthly: Monthly scans, drafted fixes requiring approval, and weekly insights; pricing is provided with the scan report.
  • Implementation: Scoped hands-on execution with marketing and compliance teams.
Details
AddedSeptember 21, 2026
RefreshedSeptember 21, 2026
Agenticness
Quick Facts
DeploymentCloud-hosted
AutonomySemi-autonomous
Model supportMulti-model
Open sourceNo
Team supportSmall team
Pricing modelFreemium
Interfacegui
Sources
Last updated September 21, 2026
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