Scanley - 2026 Pricing, Features, Reviews & Alternatives

Scanley is a cloud-based, managed AI search visibility and answer engine optimization service built for financial services companies, including community banks, credit unions, mortgage lenders, and fintech platforms. Operating on a monthly cycle, it measures where a company appears in AI-generated recommendations across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews, identifies the specific pages and content gaps causing AI engines to omit or skip the company, and delivers drafted content fixes through the client's existing publishing workflow for marketing review and compliance sign-off. Nothing is published without client approval.

The core diagnostic is a nine-pillar AI Visibility Audit that produces a prioritized fix list explaining why AI engines bypass a company. Each monthly scan cycle re-runs the same questions to verify whether citation position has changed, and distinguishes between being actively recommended by an AI engine versus merely being mentioned nearby. Results are packaged as Weekly Scanley Insights, combining scan data with Google Analytics and Search Console signals, delivered as Monday Metrics. A Metro Report provides monthly public rankings of AI recommendations by metro area, enabling competitive benchmarking at a local or product-category level. Every data point in the methodology states the engine queried, the date, the number of runs, and the recommendation-versus-mention status, producing auditable records suitable for board-level reporting.

Scanley is scoped to financial services and can be configured for a specific metro area or product category, making it applicable to institutions of any size. A free five-question AI scan with a scored report, delivered within two business days, provides an entry point with no sales call required. The managed service model eliminates the need for a dedicated in-house answer engine optimization role, placing execution responsibility on the Scanley team while keeping marketing and compliance stakeholders in control of all published output.