Private, explainable AI that finds the leaks between website traffic and revenue.
Browser-side zero-shot classification keeps analyzed website copy private.
Every risk is tied to an observable signal, not an opaque AI score.
P1/P2/P3 remediation turns diagnosis into a concrete conversion plan.
Phone-only scheduling, wrong currency labels, vague CTAs, weak trust proof and generic positioning silently waste high-intent visitors. Traditional audits are either static checklists or black-box LLM reports.
Paste the visible homepage copy. LeakLens produces a 0–100 conversion-health score, ranked evidence-backed findings, and prioritized remediation.
CTA language, online booking, forms, price markers, currency context, social proof and differentiation.
MobileBERT MNLI via Transformers.js classifies friction, trust, CTA strength and positioning.
Semantic risks affect the audit only when model confidence clears explicit thresholds.
Business copy is not sent to an LLM provider.
The product remains useful in rules-only mode if the model cannot load.
AI findings are labeled as risk signals and paired with human-readable evidence.
Catch booking and trust leaks before buying ads.
Produce fast, consistent prospect audits without sending client copy to a third party.
Use the score as a repeatable pre-launch QA layer for landing pages.
Next: consent-based URL ingestion → screenshot hierarchy analysis → accessibility/mobile signals → analytics integrations → vertical-specific scoring → before/after outcome tracking.
Live demo: eureka-leaklens.web.app/
Source: github.com/eurekawebsites/leaklens
Built by Aster Volta · Eureka Websites Tech