Google Flights' AI natural-language deal feature tested on India routes: what it actually does (and doesn't) in 2026
By Vihaan Patel (Vihaan Patel covers the intersection of travel and digital payments — Indian OTAs, airline-direct booking flows, UPI vs credit-card surcharges, RBI tokenisation rules and the booking-funnel mechanics that quietly cost (or save) you money.) · Published · 10 min read
Google launched a natural-language AI feature inside Google Flights in August 2025 — the idea is that you describe what you want in plain language and it surfaces deals matching your criteria. Sounds useful. I spent several weeks testing it on India-specific queries to find out where it genuinely helps and where it still falls short of what a dedicated AI flight search does.
TL;DR — what Google's AI deals feature actually is
Google launched a natural-language Flight Deals AI feature in August 2025. You type something like 'cheap flights from Delhi to Europe in October under ₹60,000' and it surfaces deals matching that description rather than making you fill in the standard departure city / destination / date form. For broad, flexible queries it is genuinely useful — particularly for travellers who do not have a fixed destination in mind. For specific India-route queries (exact routes, specific airlines, add-on fee comparisons), it still has real gaps. And it does not book anything — it hands you off to OTAs or the airline site for the actual transaction.
How the feature works and where to find it
The AI Flight Deals feature is integrated into Google Flights (flights.google.com) — it appears as a search input at the top of the Explore or Deals section, depending on the market rollout. As of mid-2026 the feature is available in India through the Google Flights interface, though not consistently on all devices and browsers. If you do not see it immediately, try the Explore tab in Google Flights on desktop.
The underlying mechanism: Google's AI parses your natural-language query, extracts the relevant parameters (origin, destination or region, date range, budget, flexibility) and uses those to filter the Google Flights fare data — which is sourced from the same GDS and airline direct feeds that power the standard Google Flights search. So the data quality is the same as regular Google Flights; what changes is the input interface and the degree to which you can express flexible constraints.
The important caveat: the AI is interpreting your query, which means ambiguous queries produce ambiguous results. 'Cheapest international trip from Mumbai' might return Bangkok, Dubai, and Colombo — which may or may not be what you wanted. Specific queries ('return flight Mumbai to Singapore in August under ₹40,000') perform better.
Test 1: domestic India queries — where it works
I tested several domestic India queries across IndiGo, Air India, and Akasa routes over a 6-week testing period in early 2026.
What worked well:
- 'Cheapest weekend getaway from Bangalore in the next 3 months under ₹5,000 one-way' — produced reasonable results with actual route options (Goa, Cochin, Hyderabad) and realistic fare ranges. The dates it surfaced were genuinely cheaper windows, not random.
- 'Flights from Delhi to Goa that are not on a Saturday or Sunday' — the date-constraint parsing was surprisingly accurate. It filtered correctly for weekday departures.
- Multi-city flexible queries ('fly from Mumbai, come back to Delhi') worked better than expected given that Google Flights' standard form handles multi-city less smoothly.
Where it fell short domestically:
- It consistently could not compare total trip costs including IndiGo's add-on fees (baggage, seat, meal). It shows the base published fare, which for Indian LCCs can be misleadingly low if you need a checked bag. A ₹2,500 IndiGo fare becomes ₹4,500+ with a 15 kg check-in bag on many routes.
- It did not distinguish between Air India Express and full-service Air India reliably in all query responses — important because the service level is quite different.
- It could not process queries referencing InterMiles earn ('cheapest IndiGo flight with good InterMiles earn') — it just ignored the miles angle and returned cheapest fare.
Test 2: international queries from India — mixed results
For international queries, Google Flight Deals AI does better because the data coverage is wider and the destination flexibility plays to the tool's strengths.
What worked well:
- 'Best time to fly from Delhi to Europe in September under ₹80,000 return' — surfaced realistic options (several European cities via Hub connections) with fare ranges in the rough ballpark of what I found on independent searches. It suggested travel in the second and third week of September as cheaper, which broadly aligns with historical seasonality.
- 'Cheapest flights from Mumbai to Southeast Asia with at least 10 days gap' — it handled the minimum-stay constraint correctly and returned useful results.
- Long-haul to the US and UK: the AI identified cheaper routing options via Middle East hubs vs direct (where direct exists) — a legitimate insight for fare-flexible travellers.
Where it fell short internationally:
- India-specific airline knowledge is thin. It did not know, for example, that Air India Express is the budget arm of Air India (post-merger) vs full-service Air India — it treated them as distinct airlines without explaining what that means for baggage or service.
- Visa guidance was absent — for Indian passport holders, a query about 'cheap international trips' should ideally filter for visa-on-arrival or e-visa eligible destinations. Google Flights does not do this. Tools like FlightGPT's visa panel and destination guides fill this gap.
- It can miss the cheapest fares on routes where IndiGo or Akasa have strong international coverage — Google Flights' indexing of Indian LCC international fares is not always complete.
How it compares to dedicated AI flight search tools
The Google feature is essentially 'Google Flights with a natural-language front door.' That is genuinely useful if you were already going to use Google Flights. The data behind it is solid — Google has good fare coverage, good historical pricing data, and a reliable flexible-date calendar.
Where dedicated AI flight search tools like FlightGPT differ: they combine multiple data sources (including GDS feeds, airline directs, and OTA pricing) and are built specifically for the booking journey — not just fare discovery. They also handle India-specific logic better (domestic baggage fee structures, Indian bank card offers, RBI LRS rules for international fare payments, visa requirements by passport type). The Google tool does not know that your HDFC Infinia card earns 10X SmartBuy on Air India; FlightGPT can surface that context.
Practically: use Google Flight Deals AI for open-ended destination discovery (especially if you are flexible on where to go). Use a dedicated tool for route-specific, date-specific searches where you want to see the full fare-inclusive comparison and any OTA offers on top.
The booking handoff — what happens when you find a fare
Google Flights' AI feature does not complete bookings. When you find a fare you want, it clicks through to either the airline's own site, an OTA (MakeMyTrip, Cleartrip, EaseMyTrip, Yatra) or a travel agent depending on Google's partner arrangements at that moment. The price you see in Google Flights is usually the base fare — the final price after taxes, fees, and airline-specific surcharges can be different on the booking page.
A gotcha I have seen repeatedly: the Google Flights price shows the fare net of credit card convenience fees that the OTA adds at checkout. A ₹7,800 fare shown in Google Flights might become ₹8,300 on the OTA's checkout page when you add a card payment. Always verify on the booking page before inputting payment details. This is not specific to the AI feature — it applies to all Google Flights results — but it is worth knowing.
The 'Book on airline website' option in Google Flights usually gives you the best post-booking service experience (changes, cancellations, seat selection). Where the OTA is significantly cheaper and you do not anticipate changes, the OTA is fine — but for anything complex (connecting flights, peak travel, international) I prefer airline direct when the price difference is small.
Bottom line
Google's natural-language Flight Deals AI feature is a genuine improvement over filling in dropdown boxes, and for destination-flexible Indian travellers it surfaces genuinely cheaper windows. It falls short on India-specific nuances — airline fees, visa context, LCC baggage structures — and it cannot replace a full AI search workflow that includes card offer stacking and fee-inclusive fare comparisons. Use it as a first-pass discovery tool; use FlightGPT for the final comparison before booking. And see our related articles on why Google AI Overviews get India flight facts wrong and how the Skyscanner + ChatGPT integration works.
Frequently asked questions
Is Google's AI Flight Deals feature available in India?
As of mid-2026 the feature has been rolling out to Indian users through the Google Flights interface (flights.google.com). Availability can vary by device, browser, and account settings — if you do not see it in the standard search, check the Explore or Deals tab in Google Flights on desktop Chrome.
Does Google Flight Deals AI book tickets directly?
No. The AI feature discovers and surfaces fares; when you select a fare you are directed to either the airline's own website or a partner OTA (MakeMyTrip, Cleartrip, EaseMyTrip, etc.) to complete the booking. The price on the OTA's checkout page may differ slightly from the Google Flights display price once taxes and payment fees are added.
Is the Google Flight Deals AI feature better than MakeMyTrip or Cleartrip for India flights?
For destination-flexible, open-ended searches, Google's AI feature has a broader fare database and handles natural-language date flexibility better than most Indian OTAs. For specific route searches with card offers, cashback, and wallet discounts applied, Indian OTAs like MakeMyTrip or Cleartrip sometimes surface a lower total price because of their bank partnerships and promotional offers. Running both is a 3–5 minute investment that often pays off on expensive tickets.
Why does the Google Flights price differ from what I see on the airline site or OTA?
Google Flights typically shows the base fare net of the booking channel's convenience fee and sometimes before airline-specific surcharges are added. The OTA or airline checkout page adds taxes, payment gateway fees (typically ₹200–₹600 on card bookings for Indian carriers), and any airline surcharges. The difference is usually small on domestic tickets and can be more significant on international fares with fuel surcharges.
Can Google Flight Deals AI find IndiGo sale fares?
Google Flights indexes IndiGo fares through GDS and airline direct feeds, but flash sales announced by IndiGo on their app or via direct email (the 'IndiGo SuperSaver' sales) sometimes appear with a short delay or not at all in Google Flights. For time-sensitive sale fares, checking IndiGo's own app and website directly is more reliable. For regular scheduled fares, Google Flights coverage is generally good.
Does the Google AI feature understand visa requirements for Indian passport holders?
Not meaningfully. The Google Flight Deals AI focuses on fares and does not filter or flag destinations based on Indian passport visa requirements. If you search 'cheapest international trip from Delhi' it will return destinations that may require a visa — without flagging which ones. For visa context relevant to Indian travellers, use a tool like the FlightGPT visas panel (/visas) alongside your fare search.