Ask Ollie

External

Ask Ollie, Tripadvisor's AI-powered travel assistant, harnesses OpenAI generative AI and over a billion traveler reviews to create personalized day-by-day itineraries for attractions, dining, and experiences. Users can easily edit, share, and save these plans directly to their Trips account, accelerating the trip-planning process with real tips from actual travelers. It's especially valuable for busy explorers seeking quick, custom starting points to inspire and organize their adventures.

CategoryChatbots & Virtual Companions
Ask Ollie

Description

Ask Ollie, Tripadvisor's AI-powered travel assistant, harnesses OpenAI generative AI and over a billion traveler reviews to create personalized day-by-day itineraries for attractions, dining, and experiences. Users can easily edit, share, and save these plans directly to their Trips account, accelerating the trip-planning process with real tips from actual travelers. It's especially valuable for busy explorers seeking quick, custom starting points to inspire and organize their adventures.

Key capabilities

  • Generates personalized day-by-day itineraries
  • Provides recommendations for experiences, attractions, and dining
  • Delivers real tips from traveler reviews via AI

Core use cases

  1. 1.Kickstarting trip planning with custom itineraries
  2. 2.Planning general week-long stays
  3. 3.Building and organizing trip ideas with AI assistance

Is Ask Ollie Right for You?

Best for

  • Travelers seeking quick initial itineraries from basic inputs

Not ideal for

  • Users needing precise local or tailored advice
  • Experienced travelers preferring authentic human insights

Standout features

  • Powered by OpenAI and 1B+ Tripadvisor reviews
  • Editable, shareable, and savable itineraries in Trips
  • Public beta for US users on desktop and mobile web

User Feedback Highlights

Most Praised

  • Quickly generates custom recommendations and itineraries
  • Effective for general planning like week-long stays

Common Complaints

  • Inaccurate recommendations, e.g., wrong locations
  • Incorrect answers to obvious questions
  • Lacks tailoring to specific needs like human experts
  • User skepticism preferring real traveler advice