GEO — Generative Engine Optimization
Get recommended inside ChatGPT, Perplexity, Gemini, and other LLM answers — before your competitor is.
If AI engines recommend your competitors, you're already behind.
When travelers ask AI assistants where to stay, the models do not search by keywords. They synthesize facts across hotel directories, review sites, and destination citations. If your property records disagree across channels or lack clear structured citations, models skip your hotel and recommend competing properties nearby. You lose direct interest before travelers ever visit your website.
Common symptoms we find
- ChatGPT recommends hotels in your city but not yours
- Perplexity cites OTAs instead of your website
- Your brand facts are wrong or outdated in AI answers
- You have no idea what AI engines say about you
- Competitors are appearing in AI answers you should own
What's included
LLM visibility audit (what AI engines say today)
We test your property across models to uncover current mentions, citations, and hallucinated hotel details.
Content structuring for LLM citation
We rebuild website room descriptions and policy facts into clean blocks that models extract without errors.
Third-party citation building (directories, reviews, PR)
We fix hotel profiles on primary travel sources and regional guides that AI retrieval engines read daily.
Brand entity consistency
We synchronize your hotel name, address, room categories, and booking rules across the web ecosystem.
Prompt-based visibility tracking
We benchmark guest intent prompts monthly to track property recommendations against your local compset.
Monthly GEO report
You receive clear reporting on prompt appearances, source citations, and direct competitor brand overlaps.
How we work
Prompt & entity audit
We test model queries across major engines to map your current visibility and source citations.
Fact correction
We eliminate conflicting room types, amenities, and policies across major hospitality directories.
Content & schema alignment
We format site pages and structured data so conversational engines extract verified facts cleanly.
Citation tracking & review guidance
We monitor model recommendations, track new citations, and strengthen guest sentiment proof points.
Who this is for
Hotel with no LLM visibility
For independent hotels whose rooms and amenities never surface when travelers run conversational destination queries.
Hotel cited but incorrectly
For properties where AI models invent non-existent amenities, show obsolete room rates, or link to broken pages.
Hotel competing in a destination with strong AI recommendations
For properties in high-demand markets where competitors already capture direct recommendations in conversational answers.
Proof, not promises
Increased OTA revenue by 22% through disciplined listing synchronization, inventory control, and rate hierarchy corrections.
Midscale hotel, published case study
Related result from a similar engagement.
Common questions
Related services
Hotel SEO & Digital Marketing
Parent digital acquisition hub covering organic search rankings, direct booking engines, and brand distribution.
AEO — Answer Engine Optimization
Structure your hotel website for Google AI Overviews, featured snippets, and conversational search answers.
AI Search Visibility Audit
Comprehensive diagnostic testing across 20 prompts and 4 AI engines to evaluate your current footprint.
Ready to find the revenue you're leaving on the table?
A 30-minute audit call. No pitch. Just the leaks we find.
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