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Wayli doesn't rank venues by popularity or paid keywords. It uses AI to understand customer intent and match it with venues based on relevance and structured data, not bidding.

Wayli analyzes what customers are looking for in real time (budget, vibe, location, occasion, timing) and outputs only 3 curated recommendations.

Wayli runs on a highly structured venue database with over 30,000 indexed venues. Each venue is enriched with 100+ categorization signals. Our teams and digital tools work every day to refine and improve this data.

Recommendations are powered by intent understanding plus structured tagging. The more complete and optimized a venue profile is, the more precisely Wayli can match it to the right customers. Accuracy improves continuously as the system learns from real usage.

All venues appear through basic categories (restaurant, café, beach club, lounge, hotel, experience). Wayli Pick plans unlock advanced tags (vibe, occasion, views, audience, budget level) making matching far more precise.

Wayli Pick is a premium highlight available through subscription plans. It allows venues to surface more often in Top 3 recommendations when intent aligns. It's not random: it's intent relevance plus richer tagging plus strategic visibility.

Yes. Wayli supports Arabic, English, and French today. Hindi, Russian, and Chinese are being added very soon.

Yes. Wayli runs continuously, including late hours and off-peak periods.

Yes. Wayli is built as a city-agnostic intelligence layer.