For most of the past decade, programmatic SEO was one of the most reliable growth levers in travel marketing. You took a structured dataset of destinations, hotels, routes and activities, paired it with a template, and generated thousands of pages built to rank for the long tail of what travelers search. Things to do in Lisbon. Best time to visit Kyoto. Flights from Dubai to Cape Town. Done well, it worked. It filled the search results, captured intent at scale, and turned content into a repeatable system instead of a hand-written slog.
It answered the question every travel team was asking: how do we produce enough content to rank across every place our customers care about? Regardless of how valuable that content turnned out to be for the person landing on it.
That question is now changing, and the answer that worked for the last era stops working in this one.
Search stopped being a list of links
More and more, people don't get a page of blue links. They get an answer.
They ask ChatGPT where to go for a quiet beach holiday in October. They read the AI summary at the top of Google instead of scrolling. They let ChatGPT or Gemini plan the itinerary. In each case, a model reads the web, decides which sources to trust, and produces a single response. The traveler often never visits the page that answer came from.
This breaks the assumption programmatic SEO was built on. Ranking a page used to be the whole objective. Today a page can rank perfectly well and still be ignored, because what counts is whether the AI doing the answering decides to cite you. Those are different problems, and solving the first does not solve the second.
Why the old playbook breaks
Traditional programmatic SEO optimised for what ranking algorithms rewarded: keyword coverage, internal linking, page volume, template consistency. That produced a lot of pages that were technically fine and largely interchangeable, which is exactly the kind of thin, templated content search engines have spent years learning to demote and that AI models have little reason to quote.
When a language model chooses what to cite, it isn't counting keyword permutations. It looks for content that is specific, well structured, and authoritative enough to be worth repeating. Most pages built to satisfy a ranking algorithm never reach that standard, however many of them you publish.
For a lot of travel brands this lands awkwardly. The destination content library that took years to build for SEO may be close to invisible to the systems now deciding what travelers see.
The evolution, not the end
This is where programmatic SEO evolves instead of dying out. The instinct behind it, systematise content production and generate at scale from structured data, matters more now than it ever did. Nobody is going back to writing a page per destination by hand. The scale problem is real and growing.
What changes is the target. The next generation of programmatic content is engineered to be cited in an answer rather than to sit in a list of results. In practice that means:
- Content structured so a model can lift a clean, correct answer straight from it.
- Real, place-level specificity in place of interchangeable template filler.
- Authority signals that models recognise and trust.
- Enough scale to cover a global footprint, since one flagship page cannot and a thousand thin ones will not get cited.
The discipline forming around this is starting to be called Generative Engine Optimisation, or GEO. The clearest way to think about it is as the next step on from programmatic SEO: the same engineering mindset, pointed at the way people find answers today.
Why travel is where this matters most
Travel is close to an ideal proving ground for this shift. Destination content is huge in volume, high in intent, and exactly the sort of question travelers now take to an AI first. Where should I go, when should I visit, what should I do when I get there. The brands that own the cited answer to those questions across thousands of destinations, not just a handful, will own the discovery layer of travel as it moves into AI.
Brands still optimising purely for blue-link rankings are building an asset for a version of search that is receding, often without realising it.
Where Obvlo fits
This is the problem Obvlo was built to solve. We generate destination content at programmatic scale, giving travel teams the automation they already know they need, but we engineer it from the ground up to be the source AI models cite. It carries the scale advantage of programmatic SEO forward into the era of AI answers.
Not only that, but we find that engagement on obvlo-powered pages can be as good as 40x more than programatic pages. The content is far richer, more alligned with brand tone of voice and carries more uniqley valuable insights than was every possible using programatic techniques.
If your destination content is still scaled by hand, or was built for a version of search that is now shifting under your feet, there is a more useful question than how to rank more pages: when a traveler asks an AI about the places you serve, are you the answer?
That is what we help travel brands achieve, at scale.