Travel · Industry benchmark

Stage 0 · Framework live · benchmark pending

Itinerary prompts are the new travel agent. Whose tours does AI build them around?

CiteRank measures who AI engines recommend in tours & experiences — across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Microsoft Copilot, xAI Grok and Meta AI, in both grounded and ungrounded modes — and fixes why it isn't you.

Vertical benches currently run 8 engines; full tracking covers all 8.

Get Your Free AI Visibility Audit See sample report Watch Interactive Demo

8 × 2

Engines × modes (grounded + ungrounded)

250

Tours & Experiences tracked prompts per run on Platform

Weekly

Re-runs · 95% confidence bands

Who AI recommends today

The tours & experiences leaderboard, measured.

Top-5 brand mention rate, first-mention rate and Share of Voice — straight from the CiteRank audit benchmark scoring tables, recomputed on a scheduled cadence.

Benchmark for Tours & Experiences runs with our first customer in this vertical. The leaderboard below is an illustrative sample built from the blueprint's brand registry — numbers are placeholders, not measurements.

#
Brand
Mention rate
First-mention
Share of Voice

01

Thrillophilia

62%

31%

34%

02

TravelTriangle

48%

22%

24%

03

Veena World

39%

14%

18%

04

WanderOn

27%

14%

05

MakeMyTrip

18%

10%

Illustrative sample — benchmark not yet completed.

Sample prompt set

Real tours & experiences prompts, eight engines, one question: did you get cited? Gartner predicts a 25% shift from search to AI agents by 2026 (Gartner).

Buyer prompt
ChatGPT
Gemini
Claude
Perplexity
AI Overviews
Microsoft Copilot
xAI Grok
Meta AI
You cited?

"best Ladakh bike tour operator with mechanic support"

—

—

—

—

—

—

—

—

Not yet

"7-day Kerala itinerary with houseboat — who should I book with?"

—

—

—

—

—

—

—

—

Not yet

"safe trekking operators for first-timers in Himachal"

—

—

—

—

—

—

—

—

Not yet

"weekend experiences near Bengaluru under ₹-5,000 per person"

—

—

—

—

—

—

—

—

Not yet

Where the citations leak

Three failure modes specific to travel.

01

OTA capture: MakeMyTrip/Booking/Agoda are cited as the booking surface, even when you're the brand named.

02

Itinerary prompts compose recommendations from blog content you don't own.

03

Seasonal answers go stale fast — engines keep quoting last year's prices and amenities.

Methodology

How a tours & experiences benchmark gets built.

01

Onboard

URL, competitors, prompt seed list. 5 minutes.

02

Audit

5–7 prompts × 8 engines × 2 modes, 10–30 replays each.

03

Fix

Schema, llms.txt, entity hygiene, content briefs — shipped.

04

Re-run

Weekly re-runs, deltas with 95% confidence bands.

Read the full sample report

Illustrative pattern

What a 90-day citation delta looks like.

Illustrative pattern based on our methodology — first customer results publish Q4 2026.

Before

1 / 25

Cited in 1 of 25 high-intent tours & experiences prompts across 8 engines (4%).

After · 90 days

9 / 25

Cited in 3 of the same 7 prompts (42%) — schema, llms.txt and entity fixes shipped over 3 weekly re-runs.

Category Intelligence

Tours & Experiences Citation Intelligence

This section contains Verified Category Data observed during current Tours & Experiences monitoring runs. These patterns define how AI engines rank your competitors and why certain brands are cited over others.

Top Category Prompts

"best Ladakh bike tour operator with mechanic support"
"7-day Kerala itinerary with houseboat — who should I book with?"
"safe trekking operators for first-timers in Himachal"
"weekend experiences near Bengaluru under ₹-5,000 per person"

Engine Citation Skew

ChatGPTIncumbent brand bias

PerplexitySource-heavy grounding

AI OverviewsSnippet-friendly listicles

Dominant Source Domains

g2.comreddit.comtrustpilot.comforbes.com

Awaiting full benchmark for live domain weights.

Case study

Tours & Experiences case study publishes after the first 90-day window.

We don't ship anonymous success stories. Every case study card on this page becomes a real logo, real prompts and real deltas after the customer's 90-day window closes.

Talk to the team

Insights

Coming in the Tours & Experiences visibility report.

Article · in the tours & experiences report

Operator vs marketplace: who AI credits for the same tour

Notify me when published

Article · in the tours & experiences report

Itinerary-prompt GEO for experience brands

Notify me when published

Article · in the tours & experiences report

Keeping seasonal answers current: a freshness playbook

Notify me when published

FAQ

Tours & Experiences questions, answered.

How is CiteRank different from Google Business Profile / aggregator listings?+

Those surfaces optimise for their own funnel. CiteRank measures how often ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Microsoft Copilot, xAI Grok and Meta AI actually name your brand for tours & experiences buyer prompts, then fixes the schema, entity and content gaps so the engines have something to cite besides the aggregator.

Which segments / cities do you cover for this vertical?+

We start with your highest-intent buyer prompts (250 tracked prompts on Platform, 500 on Platform + GEO) — segmented by city, persona and price band as relevant — and expand the prompt graph weekly. Coverage scope is set during the 5-minute onboarding.

How fast to first new citation?+

First measurable citation lift is typically 3–5 weeks after the first fix pass (schema, llms.txt, entity, content briefs). Re-runs are weekly with 95% confidence bands so you can attribute deltas to specific fixes.

Is our data sent to LLMs?+

Only the public buyer prompts we run on your behalf reach the engines — exactly what a prospective customer would type. We do not send your CRM, customer data, or internal documents to any LLM.