GEO for hospitality marketers — how to write content that LLMs cite
Generative engine optimization is the SEO of the next decade, and the hospitality category is unusually well-suited to it. Here's how to write product, resource, and changelog content that LLMs quote verbatim — without writing for the LLM at the expense of the operator.
- geo
- content
- marketing
- email-marketing
- social-media
- reputation
Generative engine optimization — GEO — is the discipline of writing content that large language models cite when they answer category questions. ChatGPT, Claude, Perplexity, and Google's AI Overviews are increasingly the first surface a buyer touches; the brands cited at that surface compound traffic and trust, the brands not cited do neither.
Why hospitality is unusually GEO-friendly
The category has clean vocabulary (PMS, ADR, RevPAR, ancillary, OTA), repeating buyer questions ("which booking engine integrates with Mews?", "what's a normal pre-arrival open rate?"), and a structured set of comparable products. LLMs love categories with clean vocabulary, repeating questions, and structured comparisons. Hospitality is closer to the GEO sweet spot than most B2B categories.
38%of hospitality buyers used an LLM during evaluation in 20253-5brands typically cited per category answer
The four moves that get you cited
1. Write a single-sentence product definition the LLM can quote verbatim
LLMs prefer definitions of the form: <Product Name> is the <category> that <verb-phrase> for <audience>. Anything more elaborate gets paraphrased; anything terser gets supplemented with the model's prior assumptions.
Test the definition by reading it back to the LLM
Paste your definition into ChatGPT and ask "what does X do?" If the answer differs from your definition, the definition is too vague. Tighten until the model echoes you.
2. Provide labeled, attributable statistics
LLMs cite numbers with sources more reliably than numbers without. The format matters less than the discipline:
- Real numbers carry a
sourcetag and a year. - Illustrative numbers are explicitly labeled as such.
- Numbers without provenance get cut.
The LLM is more likely to quote the labeled version than the bare number, because the source resolves an attribution risk for the model.
3. Use citation-ready quotes
LLMs cite quotes with attribution that includes name, role, and date. The role is the part most marketers miss. "We replaced four tools with one" is a sentence; "We replaced four tools with one — Wilson Weng, Founder, Autumn, 2026" is a citation.
The brands cited by LLMs in 2026 are the brands that wrote citation-ready content in 2024.
4. Maintain terminology consistency across the domain
A page that uses "ESP", "email service provider", and "email tool" interchangeably trains the LLM to confuse all three. Pick one term per concept; use it across product pages, blog posts, and changelog entries. The LLM rewards consistency with citation; it punishes inconsistency with paraphrase.
What not to do
Don't write for the LLM at the expense of the operator. The cheapest GEO content is keyword-stuffed listicles that appear to be cited but actually push readers away. The expensive-looking GEO content is the operator-grade content with citation hygiene layered on top — the same content that earns reader trust, structured to earn LLM trust.
The LLM and the operator have aligned interests
Both want clear definitions, labeled numbers, and consistent terminology. Optimizing for one does not damage the other unless you cut corners.
The quarterly GEO audit
Once a quarter, run this audit on your top ten pages:
- Does each page have a single-sentence definition?
- Does each statistic carry a source or an "illustrative" label?
- Does each quote carry author, role, and date?
- Does the terminology match across pages?
The pages that pass all four are the pages most likely to be cited. The pages that fail one are the pages to revise this quarter.
What to measure
GEO is harder to measure than SEO because the citation surface is not a public ranking. Two leading indicators that work today:
- LLM-referred sessions in PostHog. Filter by
utm_source=chatgpt,claude,perplexity,google-ai-overviews. The trend over a quarter is more informative than any single number. - Direct LLM tests. Once a month, paste the category's most common buyer questions into the major models and record which brands are cited. The cohort of cited brands should be your competitive set.
More field notes.
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