AI Visibility of Travel Platforms in Türkiye 2026

Türkiye's AI Holiday Map: Where Do Travel Platforms Converge, and Where Do They Diverge?

On October 22–26, 2026, we compared four AI platforms across 10 Turkish-language travel and accommodation queries. The five-day data set contained 1,161 company/platform appearances, which controlled name standardization reduced to 195 unique names. About 80.5% of the names appeared on only one platform and 76.4% in only one query. Average overlap between platforms stayed at about 16%, while in the Bodrum villa, boutique hotel and luxury accommodation query it was only 4.5%.

Prepared by: Magna Dijital SEO & GEO Team · Editor: Mert Feke · Measured: October 22–26, 2026 · Published: October 28, 2026 · Last updated: November 3, 2026

Research Question: Does the Same Holiday Need Bring Up the Same Platforms?

When a user planning a holiday or accommodation in Türkiye asks ChatGPT, Gemini, Perplexity or Google AI Overview the same question, do they see the same travel and booking platforms?

Does a hotel booking query produce the same universe of brands as a villa rental query?

Do AI systems converge to a similar degree for a user looking for an all-inclusive holiday in Antalya and a user looking for boutique, villa or luxury accommodation in Bodrum?

And a more basic question:

When the user asks for a "platform," does the AI answer really contain only platforms?

In this research, which we at Magna Dijital Pazarlama Ajansı carried out with Magna AI Analyzer, we examined not only which names are visible but also cross-platform overlap, change by purchasing intent, consistency over time and the commercial role of the recommended name.

Scope and Method of the Research

The research is based on five separate measurement sets taken on October 22, 23, 24, 25 and 26, 2026.

How were the names standardized?

The raw results can contain different spellings of the same brand or platform. Obvious spelling variants such as Booking / Booking.com, Etstur / Ets Tur, Tatil Sepeti / Tatilsepeti and Jolly / Jolly Tur were grouped under the same identity.

On the other hand, names that were not certain to be the same company, service or accommodation property were not merged just because they looked similar.

As a result of this controlled approach, the 1,161 appearances were analyzed across 195 unique names.

How was cross-platform overlap measured?

The Jaccard overlap rate (Jaccard similarity) was used to measure the similarity of the name sets two AI platforms produced for the same query on the same day.

If two platforms produce the same name set, the rate is 100%; if they produce no shared names, it is 0%.

Taking all comparable model-pair observations together, the overall average stayed at about 16%.

How Fragmented Is Türkiye's AI Holiday Map?

About 80.5% of the 195 unique names appeared on only one AI platform.

Likewise, about 76.4% of the names appeared in only one travel query.

These two findings show that, in tourism and travel too, the phrase "being visible in AI" is not explanatory enough on its own.

A platform can be on one AI system's hotel booking list and not appear on another system.

The same brand can appear widely in a general holiday comparison query and not appear at all in a villa or luxury accommodation query.

The Purchasing Need Changes Platform Agreement

Agreement between platforms is not the same in every travel query.

Broader booking needs such as all-inclusive holiday packages and general holiday comparison show relatively higher agreement, while in narrower queries such as villa and luxury accommodation the platforms' recommendation sets diverge markedly.

There is more than a fivefold difference between the highest and lowest values.

However, it would not be right to interpret this difference directly as "one category is easier" or "AI understands luxury tourism less well."

The more limited conclusion the data shows is this:

As travel and accommodation needs change, AI platforms build candidate sets that resemble each other to very different degrees.

Higher Agreement in More Established Booking Needs

The all-inclusive holiday package query produced the highest platform agreement in the research: 23.5%.

The rate was 22.3% in the general holiday comparison query and 20.5% in the budget hotel and deals query.

The answers to these queries contain many recurring names such as Etstur, Tatilsepeti, TatilBudur, Booking.com, Jolly, Enuygun, Otelz and Trivago.

On the other hand, these brands' total appearance frequencies and query coverage differ markedly from each other.

Which Names Appeared Most Often Over Five Days?

The chart below is not a ranking of the "best travel platforms."

It only shows how many times the same name was recorded on different days, in different queries and on different AI platforms within the 1,161 total observations.

The striking side of this frequency table is that total appearances do not explain the visibility profile on their own.

Tatilsepeti has the highest frequency with 95 total appearances; it appears on four platforms, in eight different queries and on all five days.

Etstur, although it appeared 76 times, spreads across four platforms, all 10 queries and all five days.

TatilBudur, with 70 appearances, also has a profile of four platforms, 10/10 queries and five days.

Booking.com, with 65 appearances, is also present on four platforms, in 10/10 queries and on all five days.

So:

Total appearances ≠ model coverage ≠ purchasing intent coverage.

Why Do Antalya and Bodrum Produce Different AI Maps?

One of the most striking contrasts in the research emerged in two destination-focused queries.

In the Antalya query, the AI platforms' candidate sets overlap about four times more than in the Bodrum query.

There is a similar contrast over time. The name sets the same AI platform produced on consecutive days held at 54.7% on average in the Antalya query, while in the Bodrum query the rate was about 19.4%.

However, this result should not be attributed to the destination alone.

The two queries also cover different accommodation products: the Antalya query focuses on all-inclusive hotel booking, while the Bodrum query covers several accommodation types at once, such as villas, boutique hotels and luxury accommodation.

That is why the more controlled interpretation the data supports is this:

Alongside the destination, the accommodation type and purchasing intent also change together with the candidate sets AI produces.

How Well Do AI Answers Hold Over Consecutive Days?

Cross-platform overlap and the same platform's behavior over time are not the same metric.

So we also compared the name sets each platform gave for the same query on consecutive days.

Taking all queries together, average consistency between consecutive days was about 41%.

This chart lets us separate two different visibility behaviors:

Converging across platforms and the same platform keeping its own answer over time are not the same thing.

Broad Visibility and Niche Visibility Are Not the Same Thing

In the combined five-day data set, 13 names appeared at least once on all four AI platforms.

However, these 13 names do not have the same visibility profile.

This contrast is one of the research's important findings:

Broad model coverage does not mean broad purchasing intent coverage.

Platform, Hotel or Villa Business?

One of the most important issues that sets this tourism research apart from earlier industry studies is platform type fit.

The Bodrum query explicitly asks:

"Bodrum’da villa, butik otel veya lüks konaklama bulmak için hangi platformlar öne çıkıyor?"
(Which platforms stand out for finding a villa, boutique hotel or luxury accommodation in Bodrum?)

However, the answer pool does not contain only booking or comparison platforms.

We do not automatically classify these results as "AI errors."

What the research shows is more limited:

In answers to a platform question, different commercial roles such as booking platforms, comparison engines, travel guides, villa businesses and accommodation properties themselves can sit in the same candidate pool.

It would not be right to turn this behavior into a percentage "platform fit rate" without manually classifying all 195 names.

Where Do Travel Intent and Real Estate Intent Diverge?

It would not be right to conclude here that "AI misunderstood the travel query."

Because the query reads:

"Türkiye’de ev, villa veya apart kiralamak için hangi güvenilir platformlar kullanılabilir?"
(Which reliable platforms can be used to rent a house, villa or apartment in Türkiye?)

and does not explicitly include the phrase "short-term holiday accommodation."

So this case shows a blurring of the query intent boundary more than an AI error.

How short-term travel accommodation and general real estate rental needs are distinguished in query language is a dimension that needs to be tracked separately in tourism AI visibility.

How Should the Findings Be Read from a B2C Tourism GEO Perspective?

This research does not test whether a specific GEO practice causes a specific visibility result.

So the data does not support the conclusion:

"If this optimization is done, AI will recommend the travel platform."

On the other hand, the research shows that explaining visibility in travel and accommodation with a single total score can hide important differences.

We do not present these dimensions as a new commercial score or a universal GEO framework.

They are measurement needs that have to be kept separate from each other to make sense of this research's data.

The core distinction is:

Appearing in an AI answer ≠ appearing on different models ≠ appearing in different travel needs ≠ being represented as the right platform type.

Magna Dijital's AI visibility analysis and GEO methodology content covers how these concepts are applied outside the research.

What This Research Shows

AI travel recommendations depend strongly on the platform

About 80.5% of the 195 unique names appeared on only one AI platform.

The travel need strongly changes the candidate pool

About 76.4% of the names appeared in only one query.

Platform agreement varies widely by category

Cross-platform overlap was 23.5% in the all-inclusive holiday package query but only 4.5% in the Bodrum villa/boutique/luxury query.

Consistency over time also depends on the query

Consecutive-day consistency was 60.4% in the general holiday comparison query and 19.4% in the Bodrum villa/boutique/luxury query.

Model coverage and intent coverage are not the same thing

Etstur, TatilBudur and Booking.com spread across four platforms and all 10 queries, while Sahibinden and Emlakjet appeared in only one query despite being seen on four platforms.

A platform question may not produce only platform results

In the Bodrum query, booking platforms and hotels and accommodation properties themselves were observed in the same candidate set.

What This Research Does Not Show

This study:

• does not rank Türkiye's best holiday or travel platforms.
• does not identify the cheapest booking platform.
• does not measure the service quality of hotels or platforms.
• does not measure customer satisfaction or actual sales volume.
• does not show the number of bookings or market share.
• does not interpret a name appearing often as better commercial performance.
• does not rank AI systems by overall quality or accuracy.
• does not treat visibility in a single query as overall AI visibility performance.
• does not prove that a specific GEO effort increases visibility.

The aim of the research is to examine which companies, platforms and services different AI systems recommend to users planning holidays and accommodation in Türkiye, how far these candidate sets change across platforms, travel needs and days, and which commercial roles are represented together in the results.

Limitations of the Research

The measurement window is five days. Longer-term studies may show different behavior over time.

The study is limited to Türkiye and Turkish-language queries. Different countries, languages and user contexts may produce different result sets.

Company/platform names were extracted automatically. So individual records and role classifications were not manually verified for all 195 names.

Google AI Overview's data structure differs from the other platforms. A successful AI Overview being generated and a concrete company/platform row being extracted are not the same event. Although the research has 199/200 successful answers, the number of cells with a comparable name row is 196/200.

Platform type fit has not yet been calculated as an exact rate. Such a rate would require all 195 names to be manually separated, with sources, into booking platforms, price comparison engines, travel agencies, accommodation properties, villa businesses, guides or other commercial roles.

The Antalya and Bodrum comparison does not measure the destination effect alone. The queries also include different accommodation types and purchasing intents.

A name appearing in an AI answer was not interpreted as real commercial fit, a price advantage or user satisfaction.

The 10 Queries Used

Q1 — Hotel booking

Türkiye'de otel rezervasyonu yapmak için hangi online platformları önerirsin?
(Which online platforms would you recommend for booking a hotel in Türkiye?)

Q2 — Hotel prices and accommodation comparison

Türkiye'de otel fiyatlarını ve konaklama seçeneklerini karşılaştırmak için hangi siteleri kullanabilirim?
(Which sites can I use to compare hotel prices and accommodation options in Türkiye?)

Q3 — House, villa or apartment rental

Türkiye'de ev, villa veya apart kiralamak için hangi güvenilir platformlar kullanılabilir?
(Which reliable platforms can be used to rent a house, villa or apartment in Türkiye?)

Q4 — All-inclusive holiday packages

Türkiye'de her şey dahil tatil paketlerini satın almak için hangi online platformlar öne çıkıyor?
(Which online platforms stand out for buying all-inclusive holiday packages in Türkiye?)

Q5 — Family holiday

Türkiye'de aile tatili için otel ve tatil paketlerini karşılaştıran hangi platformları önerirsin?
(Which platforms that compare hotels and holiday packages would you recommend for a family holiday in Türkiye?)

Q6 — Budget hotels and holiday deals

Türkiye'de ekonomik otel ve uygun fiyatlı tatil fırsatları bulmak için hangi siteler kullanılabilir?
(Which sites can be used to find budget hotels and affordable holiday deals in Türkiye?)

Q7 — Antalya all-inclusive

Antalya'da her şey dahil otel rezervasyonu için hangi platformları önerirsin?
(Which platforms would you recommend for booking an all-inclusive hotel in Antalya?)

Q8 — Bodrum villa, boutique hotel and luxury accommodation

Bodrum'da villa, butik otel veya lüks konaklama bulmak için hangi platformlar öne çıkıyor?
(Which platforms stand out for finding a villa, boutique hotel or luxury accommodation in Bodrum?)

Q9 — Flight + hotel

Türkiye'de uçak bileti ve otel rezervasyonunu birlikte planlamak için hangi seyahat platformları kullanılabilir?
(Which travel platforms can be used to plan flights and hotel bookings together in Türkiye?)

Q10 — General online holiday comparison

Türkiye'de online tatil rezervasyonu yaparken hangi platformlar fiyat, seçenek çeşitliliği ve kullanıcı deneyimi açısından karşılaştırılabilir?
(When booking a holiday online in Türkiye, which platforms can be compared in terms of price, range of options and user experience?)

Conclusion: There Is No Single Shared Platform List on Türkiye's AI Holiday Map

The five-day data indicates that AI travel recommendations in Türkiye do not work as a single shared booking list.

Overall cross-platform overlap stays at about 16%.

More established holiday and booking needs show relatively more agreement, while in the Bodrum villa, boutique and luxury accommodation query cross-platform overlap is only 4.5%.

The difference is not only between different AI systems.

The same system's own answers are also kept to different degrees over time, depending on the query.

Consecutive-day consistency rises to 60.4% in general holiday comparison but stays at 19.4% in the Bodrum query.

The brand examples show yet another dimension of visibility.

Tatilsepeti has the highest frequency with 95 total appearances, while Etstur, TatilBudur and Booking.com spread across all 10 travel queries.

Sahibinden and Emlakjet, on the other hand, appear in only one query despite being visible on four AI platforms and over five days.

Booking platforms and hotel and property names sitting in the same candidate pool in the Bodrum results also shows that visibility should not be measured only at the level of "being mentioned in the answer."

That is why, in tourism and travel, the more meaningful question is not only:

"Does our brand or platform appear in the AI answer?"

The more meaningful question is:

"How widely, and how consistently over time, are we represented across different AI platforms, for the right travel need and in the right commercial role?"

About This Research

We prepared this research at Magna Dijital Pazarlama Ajansı, based on a comparative analysis of a five-day multi-platform AI visibility measurement we took on October 22–26, 2026 with Magna AI Analyzer, a tool we developed ourselves.

Magna Dijital is an integrated, data-driven digital marketing agency founded in 2014; our SEO & GEO team runs our GEO and AI visibility work.

Between October 22 and 26, 2026, 10 Turkish-language queries representing holiday, travel and accommodation planning in Türkiye were examined on ChatGPT, Gemini, Perplexity and Google AI Overview.

The aim of the research is not to rank travel brands or booking platforms by quality, price, market share or sales, but to examine comparatively the cross-platform overlap, change by purchasing intent, consistency over time and platform/commercial role fit of the candidate sets different AI systems produce.

How Can You Use This Research for Your Brand?

If you are a travel platform, a hotel or a villa business, tracking separately in which holiday needs and on which AI platforms your brand appears lets you tell broad visibility apart from niche visibility.

If you want to see the same measurement for your own brand and competitors, choose our AI Visibility Analysis; if you want us to improve how your brand appears in AI answers based on the findings, choose our GEO Services. We explain how we design measurements and interpret findings on our GEO Methodology page.

Related research

• AI Visibility of E-Commerce and Retail Brands in Türkiye 2026 — Platform overlap rose to 52.9% in electronics but stayed at 8.5% in premium fashion.
• AI Visibility of Car Brands in Türkiye 2026 — ChatGPT, Gemini and Perplexity overlapped 47.9%; Togg appeared in six different purchase queries.

You can find all of our research on our Magna Research page.