The trouble with destination content is that it’s expensive to produce, goes out of date quickly and is usually one size fits all.
Everybody is looking at AI for a solution, and we are often asked how Obvlo compares to something like Chat-GPT (or specifically, OpenAI Gpt4-o).
Obvlo’s content solution enables travel brands to give personalized recommendations for any of their global destinations. But, unlike Large Language Models (LLMs), Obvlo doesn’t use generative AI to give recommendations.
Instead, Obvlo uses a combination of AI and human systems to research destinations, produce new content and then personalize what is shown - in essence, actually learning about destinations to build up local knowledge. Then, Obvlo learns about the traveller in order to match the two and offer personalized recommendations.
Large Language Models like Open AI’s GPT4 Omni on the other hand generate outputs in real time using prompts and the historical data they have been trained on. This is like searching for an answer when you need it, rather than already having the answer to hand.
Obvlo’s AI agents replicate the manual approach
Obvlo uses AI to conduct all of the tasks that would otherwise be carried out by a room full of people. Tasks like researching, writing descriptions, finding photos, checking opening hours, translating, proof reading and even uploading and formatting in the website CMS.
The manual approach is expensive, time consuming, generic and content is out of date a month or two after it’s produced. It leaves the end user to be shown the same content, regardless of why they are travelling, who they are with or their interests.
Obvlo takes an AI Agent approach to content. These agents continually automate all of the steps that would otherwise be completed manually to produce quality content. Real people are kept in the loop for refinement and quality control, achieving the best of both worlds.
This purpose built approach makes Obvlo the perfect B2B solution for travel brands in need of scalable, personalized destination content. For brand authenticity, cost control, quality and oversight of the output more generally, Obvlo is a much better option than using an LLM.
Obvlo vs LLM Comparison
Obvlo AI | LLM (Chat-GPT*) | |
Cost | Cheaper | 10x More expensive |
Purpose | Destination content | General |
Reference material | Unlimited online sources | Training data |
Source of recommendations | Stored in a database | Generated in real time |
Updates | 5-10% a day | Unknown |
Curation | Curated into guides | None |
Requests to get guide | One | Many |
Personalization | Guest-archetype framework | None |
Quality Control | Human oversight | None |
Branding | White-label | None |
In-house recommendations | Ranked higher | Un-controllable |
Partner recommendations | Ranked higher | Un-controllable |
Images | Reviewed and scored | Requires external source |
Text based descriptions | Generated from real reviews | Generated from training data or external search |
Coverage | Global | Global |
Margin of error | Low | High |
Whether you are a hotel looking for content to give guests personalized local recommendations, or a travel site looking to increase engagement at the inspiration stage of the funnel, get in touch to find out how Obvlo’s content solutions could work for you.
* Latest OpenAI model. Gpt4-o is used for comparison.