01
Trattoria Verde
Casual neighborhood Italian
Good fit for a relaxed dinner nearbyHotel concierge & local recommendations
Help guests find the right places nearby.
Understand what each guest wants, combine hotel knowledge with current local information, and recommend relevant places without sending them through another search.
RECOMMENDED PLACESExample recommendations
GUEST PREFERENCE
Quiet Italian restaurant
AI AgentHere are a few nearby options that fit what you described.
RECOMMENDED PLACESThree relevant options
3 options6-minute walk
02
Casa Roma
Pasta and classic Italian dishes
Good option for a quieter evening03
Osteria Centrale
Modern Italian menu
Best fit if the guest wants something slightly more polishedGuests rarely ask for a generic list.
They usually have a specific situation.
01Where can we get dinner nearby with two kids?
02Is there a quiet cocktail bar within walking distance?
03What is worth seeing if we only have three hours?
04Where can I buy a phone charger near the hotel?
05What is the easiest way to get to the airport tomorrow morning?
06Are there any good restaurants still open nearby?
A useful concierge experience starts by understanding those details rather than returning the same recommendations to every guest.
Start with the preference.
DINNER TONIGHTExample conversation
RECOMMENDATION PROFILE
- Category
- Italian restaurant
- Timing
- Tonight
- Distance
- Within 10-minute walk
- Atmosphere
- Casual
- Guests
- 2 adults
The recommendations are narrowed by actual guest intent.
Give a short list with a reason for each choice.
The goal is not to reproduce a search engine results page.
A better result explains why each option fits.
NEARBY · TONIGHTItalian · Casual · 10-minute walk
01
Trattoria Verde
Casual neighborhood Italian
Good fit for a relaxed dinner nearby02
Casa Roma
Pasta and classic Italian dishes
Good option for a quieter evening03
Osteria Centrale
Modern Italian menu
Best fit if the guest wants something slightly more polishedCombine hotel knowledge with current local information.
Local recommendations can depend on both curated hotel knowledge and information that changes.
DOCUMENT SEARCH
Hotel-curated knowledge
Document Search can use property-approved recommendations, neighborhood guides, transportation notes, nearby services and other hotel knowledge.
AI ANSWER WITH LIVE WEB SEARCH ENABLED
Current local information
AI Answer with Live Web Search enabled can search the internet or a specific provided website when the guest needs information that may change.
DATA SEARCH
Structured destination data
Data Search can retrieve exact information from structured CSV or XLSX files when the hotel maintains its own local directory or recommendation dataset.
GUEST-FACING RESULTA relevant local recommendationHotel knowledge + current information
Current local informationcurrent opening informationnearby restaurantsattractionstransportation detailslocal servicesvenue informationdestination-specific questions
Current web search supplements hotel knowledge rather than replacing it.
Let the guest refine the recommendation naturally.
Discovery rarely ends with the first answer.
The conversation keeps the original preferences and adjusts the results instead of starting from zero.
STARTING PREFERENCEItalian · 10 min walk · casual
GUEST FOLLOW-UPS
Which one is quieter?
Anything closer?
What if we want seafood instead?
Which option stays open later?
Can you suggest something near the museum?
ADJUSTED PREFERENCESeafood · 10 min walk · casualExisting distance and atmosphere retained
Recommendations can go beyond restaurants.
A hotel concierge use case can support many local discovery needs.
Eat & drink
Restaurants, cafés, bars and other hotel-approved recommendations.
See & do
Attractions, museums, neighborhoods, shopping and activities.
Getting around
Airport transportation, public transit, taxi information and destination navigation.
Practical needs
Pharmacies, convenience stores, charging accessories, ATMs and other nearby services.
Hotel-curated picks
Places or experiences the property specifically wants to recommend.
Keep hotel recommendations distinct from open-web answers.
Hotels may want some recommendations to reflect their own local knowledge.
HOTEL-CURATED
For a quiet dinner nearby, our team usually recommends...
CURRENT WEB SEARCH
I found these nearby options that match your request...
The workflow can use the appropriate source depending on the question and the hotel's configuration. This gives the property control over its own recommendations while still making current local information available when useful.
Bring staff in for requests that need personal help.
A local recommendation is often easy to answer automatically.
Some requests may still need concierge or front desk assistance, such as:
- reservations requiring staff involvement
- special transportation arrangements
- complex itinerary requests
- property-specific partner services
- requests the hotel prefers to handle personally
The conversation can preserve the guest's preferences and hand the context to staff.
EXAMPLE HANDOFF Concierge assistance
- Guest request
- Dinner reservation assistance
- Preference
- Italian · quiet · 2 adults
- Timing
- Tonight · around 8:00 PM
- Shortlist discussed
- 3 nearby restaurants
- Next action
- Concierge assistance
Guest preferences and shortlist context stay with the request.
Built with components already in AskHandle.
The recommendation experience can be configured from components already available in AskHandle. The property decides which suggestions come from curated hotel knowledge, which use structured data, and when Live Web Search should add current local information.
AI Answer with Live Web Search enabled
Search the internet, hotel website, or another provided URL for current local information relevant to the guest's request.
Document Search
Use hotel-curated neighborhood guides, approved recommendations, transportation information and other property knowledge.
Data Search
Retrieve recommendations or local information from structured CSV or XLSX data when the hotel maintains its own destination directory.
AI Answer with Product Cards enabled
Present recommended places or experiences in structured cards when a richer visual result improves discovery.
AI Answer with Image Answers enabled
Show relevant images when visual context helps the guest compare places or experiences.
Human Handoff
Bring concierge, front desk or another hotel team into the conversation when the guest needs personal assistance or a request requires staff action.
The template can be adapted around each property's destination, neighborhood knowledge, preferred partners and recommendation style.
Questions about local recommendations.
What is a hotel concierge recommendation workflow?+
A hotel concierge recommendation workflow helps guests discover nearby restaurants, attractions, transportation and services based on their preferences and location.
Can recommendations use current information from the web?+
Yes. AI Answer with Live Web Search enabled can search the internet or a provided website for relevant current information when the workflow is configured to use it.
Can hotel-curated recommendations take priority over open-web suggestions?+
Yes. The property can use its own approved guides and recommendation sources first, then use Live Web Search where current local information adds value.
Can guests refine recommendations with follow-up questions?+
Yes. The conversation can keep the existing preference context and adjust recommendations when the guest changes distance, category, atmosphere, timing or another requirement.
Can recommendations include images or structured cards?+
Yes. AI Answer can use Product Cards or Image Answers when the configured content supports a richer recommendation experience.
Can hotel staff take over a concierge request?+
Yes. Requests that need personal assistance can be handed to the appropriate hotel team with the guest's preferences and prior context included.
Make local discovery part of the guest experience.
Help guests find relevant places, services and experiences using hotel knowledge, current information and the preferences they already shared.