Receive the AI Report – Tourism
premiere:
At PromptEye, we’re not slowing down. Following the huge success of the AI visibility report for Polish Software Houses, we’re now setting our sights on an industry where a recommendation can make or break you – Tourism (premiere: March 2026).
Why are we doing this?
Because LLMs are a new, powerful decision-making channel. Users are moving away from typing single phrases into search engines and are starting to “converse” with AI, expecting ready-made plans and recommendations.
While gathering the first data for the report, we noticed one key thing: A “general ranking” in AI does not exist. Language models can be chaotic. In response to the same question, they might recommend a town, an entire region, and alongside it… a sand dune or a cliff. That’s why we gave up on creating a “pretty ranking for the sake of ranking.”
Two-Stage Business Methodology
Natural Diagnostics
(“Diagnostics”)
We submit 15 different prompts exactly the way real people do. We examine the mainstream – what AI produces “off the top of its head” and how it interprets intent. We check how large the discrepancy is between models.
Hard Data
(Narrowed Prompts)
We impose strict constraints on the models: one level of entities (e.g. hotels only), a fixed number of recommendations. This way, we extract comparable, measurable business data from the chaos.
How do we do it?
We analyze general queries (discovery phase) and intentional ones (with children, active travel, off-season). This way, you’ll learn not only who is recommended most often, but above all: who wins in specific purchasing situations and in the long tail of queries.
We are creating this report for the market, which is why we want to create it together with the market. We are currently consulting the final methodology with businesses and the academic community. We are looking for partners and experts from the tourism industry who would like to:
- share their own experience and assess the level of AI adoption in their segment
- comment on the impact of LLMs on customer reach
- submit their own ideas on what else we should investigate
