New Competition for Hotels: Being Recommended by AI in the Right Context

A hotel may be on the first page of Google, but when asked by AI for "the best hotels for families with children," it may not be mentioned at all.

The new digital competition gap arises precisely here.

Hotel marketers have long been working with metrics such as ranking, organic traffic, click-through rate, and keyword performance. These are still important. However, as part of travel planning shifts to ChatGPT, Gemini, Perplexity, and other AI-based tools, the difference between "being found" and "being recommended" becomes more apparent.

The main claim of the analysis by Tourism Newspaper sourced from Vizergy is this: The new competition for hotels is not just about position in search results, but about the context in which and how often they are mentioned by AI.

When AI gives a few options, invisibility can be more costly

In a classic search engine, users can review dozens of links.

In AI-based recommendation systems, however, the answer is often much shorter.

User:

"What is the best hotel to stay with kids in Paris?"
"Recommend a boutique hotel for a romantic weekend in Rome."
"Find a business hotel near the Berlin convention center."

can ask questions in natural language.

The system can suggest a few property names instead of a long results page.

In this case, the first question for the hotel is not "What position am I in?" but "Am I included in that short recommendation set?"

AIVO's April 2026 research illustrates this fragmentation. In a study testing 1,500 travel and hospitality queries across five AI systems, each engine ranked a different brand first. In other words, there is no single "AI ranking"; visibility can vary depending on the engine used.

A hotel can be strong in one context and invisible in another

Another aspect that differentiates AI visibility from classic SEO is intent coverage.

A property may be frequently mentioned in a general question like "good hotels in the city," but:

family,
wellness,
romantic getaway,
business travel,
golf,
pet-friendly

it may not appear at all in specific travel purposes.

GEOScope's beta research model published in August 2026 also shows that there can be differences in hotel visibility between general recommendations and family, business, and location intents. However, the report has a significant limitation: some scores are not actual engine measurements but model-estimated beta data. Therefore, these figures should be regarded as examples of measurement approaches rather than exact measurements of market reality.

The essential question from a business perspective is:

For which use case does AI consider your hotel suitable?

“Knowing us” is not enough

An AI system may know the name of the hotel.

But if it knows it with incorrect information, the visibility advantage can quickly turn into a problem.

For example, the system may:

define a property without a spa as a spa hotel,
use an old restaurant name,
be unaware of renovated rooms,
provide incorrect distance,
misrepresent the child acceptance policy.

For this reason, AI visibility should not only be measured as mention rate.

Among the new metrics used in the industry are:

AI mention rate: In how many of the tracked questions is the property name mentioned?

Recommendation position: Where does it rank in the recommendation list?

Intent coverage: In which travel purposes is it mentioned?

Citation presence: What sources does AI use?

Entity accuracy: Are the hotel's features accurately conveyed?

Sentiment: Is the property framed positively, neutrally, or negatively?

Competitor share of voice: How often do competitors appear in the same queries?

RevPARGenius and other AI visibility platforms also use similar measurements.

If a competitor is visible, the real question is “why?”

In hotel marketing, competitor analysis has mostly been conducted through:

Google rank,
OTA position,
price,
review score

up until now.

A new question is added in the AI environment.

For example, two boutique hotels may be in the same neighborhood, at similar prices, and with similar rating levels.

But if one is frequently mentioned when the user asks for "romantic weekend" while the other is not, there may be a difference in entity positioning.

The competitor's website and other digital resources may lead to it being more clearly associated with:

romantic,
couple-friendly,
quiet,
design-led,
private terrace

features.

In this case, the solution may not just be to get more backlinks.

The hotel needs to be described more clearly online regarding what it is and who it is suitable for.

Why is a consistent information infrastructure important?

The 2026 hotel GEO study by HES-SO Valais-Wallis researchers Roland Schegg and Jean-Claude Morand emphasizes the importance of having information that is clear, structured, consistent, and verifiable across different channels for AI visibility.

These include:

the hotel's own site,
Google Business Profile,
OTA profiles,
destination platforms,
partner sites

among others.

The key point here is not just to "copy the same text everywhere."

Basic entity information must not contradict each other.

For example:

number of rooms,
check-in time,
restaurants,
spa,
meeting capacity,
location,
transport connections,
pet policy

if they appear differently on various platforms, it may become difficult for AI systems to understand the property correctly.

Structured data can help but is not a magic solution

For hotels, the correct implementation of structured data types like LodgingBusiness can help machines understand basic information about the property more clearly.

However, structured data alone does not guarantee "AI recommendation."

The sources and signals used by AI systems vary by engine.

AIVO's June 2026 study on Hudson Valley and Catskills hotels revealed that ChatGPT and Google AI Overview could exhibit quite different source behaviors for the same hotels. In the study, business profiles and listing infrastructure appeared more prominent on the Google side, while review, community, and editorial sources could vary in weight on the ChatGPT side.

Therefore, it should not be expected that a single technical optimization will yield the same result across all AI engines.

Is SEO really becoming irrelevant?

No.

The most risky approach in industry communication regarding this is the statement "SEO is dead, now there is GEO."

Resources evaluating Google's 2026 AI search visibility guidelines emphasize that AI-powered search experiences still strongly rely on existing search infrastructure and quality signals.

The fundamental principles have not changed:

useful content,
technical accessibility,
correct metadata,
reliable information,
unique content

still hold value.

Therefore, a more accurate formula could be:

SEO + entity accuracy + AI visibility monitoring

Instead of replacing one with another, all need to be managed together.

Why should sentiment also be monitored?

A hotel being mentioned by AI is not always positive.

The system may describe the property as:

"well-located but the rooms can be old"

or

"far from the center but a quiet resort."

These statements can shape the consumer's evaluation set.

This is why some AI visibility tools want to measure sentiment.

Just the number of mentions does not show how the recommendation is framed.

However, it should be noted that sentiment analyses are not flawless either.

Automatic classification can misread context. Therefore, especially for critical hotel queries, it is still necessary to check sample responses with the human eye.

Are small hotels at a disadvantage?

Some early research suggests that large brands may have an advantage in AI visibility.

AIVO's U.S. spring break study showed that large chains had nearly double the total mention count compared to lifestyle brands. Conversely, it was observed that some lifestyle brands achieved higher recommendation positions when they were visible.

This is an important outcome for independent hotels.

A large brand may have:

more web pages,
more press visibility,
more reviews,
stronger domain authority

as natural advantages.

But if an independent property can be more clearly associated with a niche use case, it can achieve strong positions in certain AI queries.

For example, it may not win in the "largest hotel in the city" competition, but it can stand out in more specific queries like:

"boutique hotel with local design"
"quiet couple getaway"
"small hotel with strong vegan breakfast"

How should AI visibility be measured?

Simply asking ChatGPT for the hotel's name on a random day is not sufficient measurement.

Because AI answers can vary based on:

platform,
time,
user's question,
web access
and context.

A healthier system could involve:

identifying 20–50 high-value travel intents,
regularly testing the same questions across different AI engines,
tracking mention rates,
comparing competitors,
flagging incorrect features,
reviewing sources

For example, a prompt list for a business hotel in Istanbul could be created as follows:

"Hotels near Istanbul Congress Center"

"Hotel for business travel in Levent"

"Business hotel close to the metro"

"Istanbul hotels offering late check-in"

These questions measure the hotel's actual commercial segment.

"What is the best hotel in Istanbul?" may be too general.

Why is it important for hotels in Turkey right now?

A significant portion of hotels in Turkey is dependent on international demand.

A European or American consumer planning a holiday in Turkey may now ask AI to create a short list instead of opening 20 properties on Google.

In this case, the hotel's:

accuracy of English content,
international OTA profiles,
review infrastructure,
visibility in destination sources,
up-to-date room and F&B information

becomes more critical.

If an AI system classifies the hotel as an "all-inclusive family resort" while the property is actually an adults-only premium facility, it can lead to direct mismatches with customers.

Therefore, the issue is not just marketing visibility but digital product accuracy.

Stafflink's Opinion

In our view, the new competition for hotels is not "competition between Google and AI" but rather competition over how clearly and accurately they are defined in the digital world.

SEO is still necessary.

But simply being on the first page for certain keywords no longer guarantees that customers will shortlist you.

The real questions in the AI environment are:

Is it mentioning us?

Is it recommending us to the right customer?

Is it describing us with the right features?

Why is it recommending our competitor more often than us?

When the hotel can regularly answer these four questions, AI visibility becomes a real marketing KPI.