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A top-five AI spot for hotellab in Greece
Known in hospitality. Hard to find online.
The path to a demo can start with an AI question
Around 300 RMS buying scenarios. Two languages.
A website built to answer real buying questions
Connecting content, technical foundations and trusted sources
Making hotellab visible beyond its own website
From limited visibility to the AI shortlist
hotellab became a visible choice in AI search
Revenue Management PlatformWe built an international website and strengthened third-party signals for hotellab, a hotel revenue management platform, helping it gain visibility in search, Google AI Overviews and ChatGPT.
Seasonal hotels
Resorts
City hotels
Boutique hotels
AI OVERVIEW / GREECE
Which RMS platforms lead the Greek hotel market?
01
hotellabRevenue management platform localized for Greece
01 / Context
Our work with hotellab began while the company was developing its international offering and separating its Russian and global operations.
The brand was already known in the industry, but its online presence did not reflect the depth of the product. The English website had limited search visibility, and there was no Greek-language structure built around local demand.
Starting pointMarket awareness ≠ AI visibility
Trade shows and conferencesStrong recognition
International searchLow visibility
AI recommendationsRare mentions
The goal was to make the brand’s expertise clear to both potential customers and search and AI systems.
02 / The buying journey
In hospitality SaaS, buyers build a shortlist before comparing websites, features, integrations and customer stories. AI answers can shape which brands make that list.
“Which RMS should I choose for a hotel in Greece?”
ChatGPT or Google presents a list of potential solutions.
The buyer checks comparisons, websites and reviews.
Clear positioning and credible evidence help a platform make the shortlist.
Platforms monitored
ChatGPTGeminiGoogle AI Overview
EN + EL One Platform.
Any Property.
One product story, localized into English and Greek.
Content structured for search engines and AI systems.
Industry rankings, comparisons and expert validation.
03 / GEO audit
Best revenue management system for hotels in Greece
RMS for independent hotels in Greece
Hotel pricing software for seasonal resorts
Σύστημα διαχείρισης εσόδων για ξενοδοχεία
- Duettoglobal enterprise RMS
- IDeaSenterprise-grade platform
- RoomPriceGenieindependent hotels
- BEONxEuropean hospitality
- hotellablow initial AI share
01Limited international website structure
02Too few sources supporting comparison queries
03Gaps in indexing and technical signals
04Limited third-party evidence of industry expertise
04 / Website foundation
We replaced a handful of general pages with a detailed structure covering purchase, product and comparison questions. Each page addressed a specific hotelier need and gave search and AI systems more context about the platform.
ENEL60+ pages
hotellab.ioEntity hub
Pricing · Forecasting · BI · Rate Shopper
Independent · Resorts · Multi-property
PMS · Channel managers · Data flows
Cases · FAQ · Expert reviews
05 / Implementation
Content for real questions
We organized the product by features, property types, user roles and integrations, then added concise definitions, Q&A sections and FAQs.
Machine-readable structure
We configured LLM.txt and Bing Webmaster Tools, and addressed indexing, structured data and technical accessibility for search and AI systems.
Credible external sources
We focused on relevant industry rankings, directories, comparison articles and expert reviews, prioritizing credible coverage over content volume.
07 / Evidence
These original screenshots show AI answers to related RMS selection queries for the Greek market. Positions are query-specific snapshots, not a fixed market ranking; answers can vary over time and by platform.
Google AI Overview#1
ChatGPT#4
hotellab appeared first in the captured Google AI Overview for a key Greek-market RMS query and reached the top five in monitored ChatGPT recommendations for platform selection.
Beyond individual answers, the project created a foundation for expanding query coverage, strengthening third-party signals and supporting the journey from AI discovery to a demo request.
Takeaway
GEO brought together product content, a localized website, technical accessibility and third-party credibility. Together, they made hotellab easier to discover and evaluate through AI search.
