I arrived in Myrtle Beach on a late Thursday afternoon, after days of combing through itineraries and travel blogs that all seemed to suggest the same top five activities. Tired of cross-referencing reviews and manually plotting routes, I opened VisitMyrtleBeach.com more out of obligation than curiosity. That’s when I noticed a quiet prompt blinking back at me: “Where do you want to go in Myrtle Beach?”
It wasn’t a form, nor a filter. Just a question.
I typed: “A quiet beach, close to seafood, not too touristy.” The interface responded with an itinerary suggestion — a blend of coastal quiet and dining options. Litchfield Beach appeared in the results. A known spot just south of the more trafficked areas, it fit the tone of my request.
This was not a search. It was a conversation.
Real-Time Travel Planning
What Visit Myrtle Beach launched in partnership with Afar and Mindtrip marks a notable development in destination experience design.
At its core, the platform functions as a conversational assistant. Travellers input questions or preferences in natural language. The AI returns structured responses that include routes, photos, descriptions, and points of interest. Unlike traditional filters, it adapts in real time.
This feature is currently accessible on both VisitMyrtleBeach.com and Afar.com, expanding its reach beyond a local tourism website. It’s an integrated effort to bridge destination content with actionable planning.
Addressing a Common Problem
Trip planning often starts with questions. Most digital tools require visitors to answer them through dropdowns, lists, and separate tabs. It takes time, often hours, to create a single day’s itinerary.
Visit Myrtle Beach reports that over 18 million people travel to the destination each year. Even modest gains in visitor planning efficiency could influence satisfaction and economic outcomes. For families travelling with children, solo travellers on limited schedules, or groups with mixed interests, simplifying the itinerary process is significant.
The AI experience allows for continuous refinement. I adjusted my query to include “kid-friendly stops before lunch”, and the plan shifted — seamlessly, within the same interface.
Personalisation Without Complexity
Many travel platforms promote personalisation, but few execute it without the need for account setups, surveys, or tracking. This AI travel assistant offers direct, frictionless input. No login, no preferences to store.
The interaction feels natural. A user might write, “I have three days and want to avoid crowds,” and receive a proposal that balances landmarks with less-trafficked experiences — all timed and mapped.
While personalisation has been widely discussed in travel tech, the implementation here relies on contextual relevance rather than predictive profiling.
What the Tool Offers
The platform builds what it calls Myrtle Beach Journeys — AI-generated itineraries designed around user inputs. Each journey includes walking routes, transportation times, photos, restaurant listings, and estimated time allocations.
Instead of exploring dozens of sources to build a plan, travellers can get a structured suggestion in seconds. Whether for a single day or an extended stay, the system strikes a balance between convenience and detail.
A sample journey might include breakfast by the boardwalk, a morning paddleboarding session, a museum visit, and an early dinner at a waterfront oyster bar — aligned with the user’s stated goals.
Built for Use, Not for Show
Greg Sullivan, Co-founder and CEO of Afar, described the initiative as a way to move travellers from “inspiration to action”. That bridge is meaningful for travel media, which often ends at the dreaming stage.
Andy Moss, Co-founder and CEO of Mindtrip, emphasised the value of directly connecting travellers to Myrtle Beach’s local businesses. The itineraries surface smaller venues and destinations that typical search results may miss.
This approach benefits both travellers seeking distinct experiences and local operators seeking visibility.
Framing It Within a Broader Landscape
Adobe’s 2018 Digital Trends report highlighted that 40% of surveyed agency respondents saw real-time personalisation as the most exciting trend for the future. While the exact impact on engagement varies, personalisation continues to be associated with improved relevance and experience in digital settings.
Applying this logic to destination planning aligns with visitor needs: timely, context-aware suggestions that don’t require users to already know the area.
A Look Ahead for Travellers
Travellers aren’t seeking more content. They’re looking for clarity.
Whether it’s a couple planning a long weekend or a family organising a week-long visit, the need to feel confident in how to spend time is consistent. The Myrtle Beach AI tool offers a faster way to get there.
It may not be a substitute for traditional research; however, it provides a sturdy starting point. As more destinations start perking up AI-made planning tools, the standard of travellers’ expectations will also be put under scrutiny.
At Myrtle Beach, that shift has already begun.