Start with the decision facing a traveler choosing a hotel. The page needs to help answer: which hotel is the best fit for this trip, in this place, with these constraints? Check whether that requirement is present on your site and consistent with the independent pages cited in the answers you test.
Keep the important product and policy details in visible text. Google’s guidance for AI features says established SEO requirements still apply; no special AI schema is required. This does not guarantee inclusion in any assistant’s answer.
What AI assistants need before they recommend you
The page has to answer the retrieval problem first: which hotel is the best fit for this trip, in this place, with these constraints? If that answer is spread across ten thin pages, trapped in JavaScript, or hidden behind vague marketing language, inspect what the retrieval path actually exposes before commissioning more content.
- A clean hotel entity: name, location, star/category, ownership group, and official site.
- Room, amenity, policy, and neighborhood facts that are visible in HTML and not only in booking widgets.
- Decision language: who should choose the hotel and who should not.
- Third-party corroboration from reputable travel, review, map, and local sources.
- Freshness signals for availability-sensitive details such as renovation, restaurant hours, pet policy, parking, and breakfast.
Prompts this page should be able to answer
These examples are generated hypotheses, not observed customer prompts or demand volumes. Check the actual questions with Google Search Console, Ahrefs or Semrush related keywords, and Aiso prompt data before you scale the cluster.
- best boutique hotel in Lisbon for a quiet weekend
- family friendly hotels in New York near museums
- hotel in Tel Aviv with coworking space and late checkout
- best hotel for a gluten free traveler in Rome
- which hotel should I book near the conference center?
What usually gets missed
Check whether a visitor can understand the category, restrictions and evidence without already knowing the brand. The following gaps are audit candidates, not a measured failure rate for the industry.
- Amenities listed as icons without crawlable labels.
- Location pages that say 'steps from everything' instead of naming the exact landmarks and transit links.
- Review snippets with no source, date, or theme.
- Restaurant, spa, accessibility, and family details split across PDFs or booking-engine tabs.
- No page that answers scenario prompts like business trip, family trip, romantic weekend, or conference stay.
The source pages to build first
Start with the existing page that answers the buyer decision. Add a separate page only when the requirement needs a genuinely different answer; do not create near-duplicates for every filter combination.
- A neighborhood landing page for each core city or district.
- Amenity pages for high-intent filters: family, business, wellness, pet-friendly, accessibility, parking, restaurant, and work-from-hotel.
- Comparison pages against the real alternative set: nearby hotels, serviced apartments, vacation rentals, and conference hotels.
- FAQ pages that answer policy questions in plain language.
- Third-party profile cleanup across Google Business Profile, travel directories, review sites, and local tourism listings.
A quick audit
Open your most important category or location page and ask five questions:
- Can an assistant say exactly what you are?
- Can it say where or when you are relevant?
- Can it compare you against alternatives?
- Can it cite a fact, number, review, or proof point?
- Can it verify the same claim somewhere besides your site?
If any answer is unclear, that is your first content brief.
Quick wins
- Turn amenity icons into text labels and short answer-first paragraphs.
- Add a 'best for / not best for' section on each property page.
- Create one page per repeated trip scenario instead of one generic destination guide.
- Keep Hotel or LodgingBusiness data consistent with visible property facts. Do not add FAQ or review markup merely to seek an AI ranking benefit.
- Use Aiso to test the actual prompts travelers ask, then compare which source pages AI assistants cite.
How to measure it
Use a prompt set, not a screenshot. Prioritize questions your product can satisfy where competitors are named without you. Run the category prompts repeatedly across ChatGPT, Gemini, Claude, and Perplexity. Track whether your brand is mentioned, whether you are cited, which pages are used as sources, and which competitors appear beside you. Then inspect relevant gaps. A missing citation alone does not establish why a source was omitted.
Aiso is built for that workflow. It tracks the prompts buyers ask, measures visibility across AI engines, and shows which source pages or third-party mentions are missing. If you already have Google Search Console, Ahrefs, or Semrush exports, use them to seed the prompt list. Then let the AI-answer sampling tell you what actually gets recommended.
Measure the commercial result separately
Keep named recommendations, source citations and human referral sessions in separate columns. Bot fetches are not people or answer impressions. Record qualified enquiries and completed purchases separately, and do not call a before-and-after association incremental revenue without a credible comparison.
References
- Aiso / Search Engine Land: Bing rankings and ChatGPT visibility study.
- Princeton and IIT Delhi: Generative Engine Optimization research.
- Aiso guide: LLM ranking factors.