Uber, Airport Pickups London, Waymo entered the Private Hire & Ride-Sharing Services top ten.
+2 more
share of answers
Data as of Aug 25, 2026 · Based on 1,493 AI responses · See how Parse measures this
Private Hire & Ride-Sharing Services
Parse
https://parse.gl
Lyft has become the most-cited ride-sharing service, overtaking early leaders in AI-generated recommendations. While and dominate general queries, specialized services focusing on safety and predictable pricing, like , have surged in visibility for specific user needs.
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | Now the most-cited service, often paired with | 25% | |
| 2 | Consistently recommended for its wide availability and diverse vehicle options. | 24% | |
| 3 | Surged in mentions by connecting users to licensed taxis without surge pricing. | 22% | |
| 4 | A leading platform for peer-to-peer motorcycle rentals, like Airbnb for bikes. | 16% | |
| 5 | A prominent player in peer-to-peer motorcycle and powersports rentals. | 15% | |
| 6 | 14% | ||
| 7 | Recommended for shared rides and flat-rate pricing without surge multipliers. | 13% | |
| 8 | An early leader for executive car services, now shares the spotlight. | 13% | |
| 9 | A key recommendation for Heathrow transfers, though its earlier dominance has waned. | 11% | |
| 10 | 11% | ||
| 11 | Cited for its unique model where riders and drivers negotiate fares. | 9% | |
| 12 | 9% | ||
| 13 | 9% | ||
| 14 | 8% | ||
| 15 | 8% | ||
| 16 | 8% | ||
| 17 | 7% | ||
| 18 | 6% | ||
| 19 | 5% | ||
| 20 | 5% | ||
| 21 | 5% | ||
| 22 | 5% | ||
| 23 | 5% | ||
| 24 | 4% | ||
| 25 | 4% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
reddit.com is the page AI reaches for most here, cited in 28% of analyzed answers.
+2 more
share of answers
Share of direct mentions
share of answers
“'Top contenders' for general ride-sharing.” → “Definitively framed as 'best overall' for availability and service variety.”
Rose from #33 to #2 overall between Oct 2025 and Mar 2026.
Emerged as a top-three brand for its query starting in Nov 2025.
Dropped from #1 to #4 overall between Oct 2025 and Mar 2026.
Fell from #3 to #13, sharing space with more diverse recommendations.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 32% | 24% | ||
| 24% | 12% | ||
| 7% | 23% | ||
| 19% | 19% | ||
| 15% | 19% |
The two models disagree most about Curb (ChatGPT #15, Google #2) and Wingz (ChatGPT #11, Google #24).
Lyft has become the most-cited ride-sharing service, overtaking early leaders in AI-generated recommendations. While Lyft and Uber dominate general queries, specialized services focusing on safety and predictable pricing, like Curb, have surged in visibility for specific user needs.
Across 1,493 AI responses, Lyft is mentioned most, named in 25% of them, followed by Uber (24%) and Curb (22%).
Parse measures each brand's mention rate — the share of answers naming it — across 1,493 AI responses to this market's buyer questions. Answers are collected daily and the ranking is published weekly.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
What is the best ride-sharing service?
AI responses consistently feature Uber and
Lyft as the top two contenders. Over time, Google AI Overviews began to differentiate them, positioning
Uber as 'best for availability' and
as 'best for price'.
Initially, a variety of alternatives were mentioned, but Curb quickly became the dominant recommendation, especially from Google AI Overviews. Other services like and appear frequently as secondary options for their no-surge pricing models.
I am looking for a ride-share service that specializes in safety and does not use surge pricing.
Initially, a variety of alternatives were mentioned, but Curb quickly became the dominant recommendation, especially from Google AI Overviews. Other services like
Wridz and
inDrive appear frequently as secondary options for their no-surge pricing models.