AI in Insights can combine your hotel data with current public information from the web. Use it to move from seeing what changed to understanding what may be driving it, with links to the outside sources behind the answer.
💡 Start with this prompt: “Show me what changed in [metric] for [property or market] over [date range], and check for any news, events, or other factors outside our data that could explain it.”
What Web Search Adds
Your Insights data is the best source for performance, pace, mix, and comp-set comparisons. It cannot always explain what is happening outside the hotel. Web search closes that gap by bringing relevant public context into the same conversation.
Instead of checking your numbers, searching separately, matching dates, and assembling the story yourself, you can ask AI in Insights to bring those pieces together in one sourced answer.
Ways to Use It
Explain a change in performance
Combine a change in pace, occupancy, ADR, RevPAR, cancellations, or revenue with relevant news and outside factors.
Try: “Dig into what is driving the RevPAR drop in [market], inside and outside our data.”
For example, AI in Insights can connect the timing of a performance shift with transport disruption, cancellation data, changes in flight capacity, and rooms entering or leaving the market. It separates what your data shows from possible external causes and links each outside claim to its source.
Find events and local demand drivers
Look for conferences, festivals, sporting events, public holidays, or other local activity that may explain unusual demand for a property and date range.
Try: “Why is [property] pacing ahead for next week? Are there any news or events that would explain it?”
Add context to monthly updates and board reporting
Bring relevant travel demand, consumer confidence, air-passenger volumes, fuel prices, or other economic indicators alongside your own trend.
Try: “Pull our RevPAR trend and add current travel-demand and consumer-confidence context for the board.”
Research hotel-market and industry trends
Ask about published hotel outlooks, demand patterns, investment conditions, technology trends, or changes in market supply such as openings, closures, and rooms temporarily out of service.
Try: “What current hotel-industry trends could help explain our performance this quarter?”
Check industry definitions and calculations
Look up current definitions from hospitality industry bodies and compare them with terminology or calculations in Insights, including ADR, RevPAR, MPI, ARI, or RGI.
Try: “Find the current STR definition of RGI and confirm whether it matches how this result is calculated in Insights.”
Review segmentation and mappings against standards
Compare your rate-plan, segment, or channel results with public standards such as USALI guidance. AI in Insights can identify potential inconsistencies and explain why a mapping deserves a closer look.
Try: “Review our rate-plan-to-segment mapping against current USALI guidance and flag anything that looks inconsistent.”
Look up current public reference information
For questions tied to a specific property or jurisdiction, look for public information such as local tourist-tax rules or other published requirements. Include the property, location, and relevant dates so AI in Insights does not have to guess which rules apply.
Try: “What is the current tourist-tax rate for [property location]? Include the official public source and effective date.”
How AI in Insights Chooses Its Sources
AI in Insights starts with the source best suited to your question:
Your Insights data for performance, pace, mix, and breakdowns.
Calendar Events for demand drivers already recorded for your properties.
STR or Demand360, where available, when you ask how you compare with your market or competitors.
Public web sources when you explicitly ask for news, events, public references, or other outside context.
That means “Is this just us, or is the market pacing ahead?” normally uses your benchmarking data rather than web search. To investigate both, ask: “Is this us or the market, and are there any news, events, or outside factors that would explain it?”
How to Get the Most Useful Answer
A normal performance question is answered from your own data first. If you want web search, make the request for outside context explicit. Useful phrases include:
“...and check if there is anything going on outside our numbers”
“...any news or events that would explain this”
“...including outside factors”
“...using current public industry sources”
Include the property or market, date range, metric or change, and type of outside context you want. You can also request a date range or a particular public domain to narrow the search.
What to Expect from the Answer
Linked sources. When public information contributes to the answer, AI in Insights links to the pages it used.
A distinction between data and explanation. It separates what your own results show from outside factors that may help explain them.
Appropriate uncertainty. A matching event or economic change can support an explanation, but does not prove causation.
Freshness warnings. Public pages can change or become outdated. Ask “How current is that source?” whenever timing matters.
No guessing when nothing relevant is found. AI in Insights should say so and stay with what your own data supports.
Common Questions
Why did AI in Insights not search the web?
The question probably did not explicitly ask for outside context. Add words such as “news,” “events,” “public sources,” or “outside our data.” If you asked about your market or competitors, AI in Insights may have correctly used your benchmarking data instead.
Why did it answer without showing a new web search?
Some established industry references already have direct guidance in AI in Insights. It may not need a new search to answer every standards or definition question.
Can it open any website?
No. It can use standard public web pages. It cannot retrieve pages that require a login, sit behind a paywall, or are not publicly reachable.
Can it research anything on the web?
No. Web search stays focused on public context relevant to hotel performance. Unrelated general questions are redirected to what AI in Insights can help with.
Why was the answer not exhaustive?
When you ask AI in Insights to bring in external information, it can run up to five web searches to answer that request. If you do not specify where to look, AI in Insights decides which searches are most relevant. You can also direct it toward particular topics, websites, or sources.
After it answers, you can ask another question or follow-up in the same conversation. That starts a new request, so AI in Insights can run up to five more searches. You do not need to begin a new chat.
Will it change prices, mappings, or configuration?
No. Outside information is used to explain and contextualize performance. AI in Insights does not use web search to set prices, discounts, restrictions, mappings, or configuration.
What should I do if a source is broken, outdated, or does not support the claim?
Ask AI in Insights to check the source date or find a newer public source. If the issue remains, flag the specific conversation through Help chat so it can be reviewed.
Questions or want help exploring this? Click the ? icon at the bottom of the left-hand menu — we're happy to help.