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CiteRank AI
01 · Industry · Travel

Itineraries are written by AI before a booking site opens.

Where to stay, what to do, how many days, which operator to trust — the plan is assembled in an assistant, and only the named brands survive to the booking step. CiteRank AI shows how the 8 major engines answer for your destinations and products.

Vertical benches currently run 4 engines; full tracking covers all 8.

8
AI engines tracked
400+
Destination & stay prompts
14d
Free trial
02 · Industry challenges

The travel answer is composed, not retrieved.

Engines assemble itineraries from blogs, review sites and marketplaces. Brands that never publish structured, current answer material simply do not enter the composition.

Marketplace capture

Booking marketplaces are cited as the place to book even when your property is the one named.

Itinerary composition

'Five days in the region' pulls from travel blogs you do not own and cannot correct.

Seasonal drift

Answers quote last season's prices, timings and closures long after they changed.

Property entity gaps

Amenities, room types and policies are unstructured, so engines guess or use third-party data.

Review-led framing

A handful of old reviews can define how an engine summarises a property for months.

Multi-property blur

Groups get one blended answer that hides which properties never appear at all.

03 · AI visibility benchmarks

Which travel brands the engines name when a trip is planned.

A sample of the travel prompt graph replayed across engines, by destination and trip type.

Category promptChatGPTGeminiPerplexityClaudeAnswer concentrationYou cited?
Best boutique hotel in the destinationMarketplace, Hotel A, Hotel BMarketplace, Hotel A, Hotel BMarketplace, Hotel A, Hotel BMarketplace, Hotel A, Hotel B3 of 24
Five-day itinerary for the regionTravel blog, Operator A, MarketplaceTravel blog, Operator A, MarketplaceTravel blog, Operator A, MarketplaceTravel blog, Operator A, Marketplace4 of 20
Family-friendly resort with a poolMarketplace, Resort C, Review siteMarketplace, Resort C, Review siteMarketplace, Resort C, Review siteMarketplace, Resort C, Review site5 of 22
Best guided trek operatorOperator B, Forum, Operator AOperator B, Forum, Operator AOperator B, Forum, Operator AOperator B, Forum, Operator A3 of 17

Illustrative modelled data — not live client results. Names anonymised.

04 · Case study

A six-property resort group, modelled end to end.

A resort group was named only through marketplaces, and two properties never appeared at all. We rebuilt property entities and published itinerary-shaped content engines could quote directly.

What we changed
  • Hotel, LodgingBusiness and TouristAttraction schema published per property
  • Room types, amenities, policies and seasonal rates structured and dated
  • Destination guides published as question-led answers rather than inspiration copy
  • Experience and package pages mapped to real trip-planning prompts
  • Weekly replays across destination and property prompts with change attribution
Modelled outcome
8% → 29%
Citation share across trip prompts
6 wks
To first new engine citation
6 of 6
Properties cited, up from four

Illustrative modelled data — not live client results. Names anonymised.

05 · Embedded demo

Destination and property visibility in one view.

Visibility trend and share of voice, loaded with a travel-shaped dataset.

AI visibility · Share of Voice

AI Visibility — Share of Voice over time

12-week trend, weighted across the tracked LLMs.

Current
67/100
39 pts vs W1
020406080W1W2W3W4W5W6W7W8W9W10W11W12
Your brand · PerplexityTop competitor

Tip: tab into the chart to focus a weekly data point, then use the left and right arrow keys to step through weeks. Press Escape to exit.

Share of Voice · per engine

AI recommendation share — you vs competitors

Per-engine Share of Voice across the last 30 days of replays. Hover or focus a bar for the breakdown.

Illustrative modelled data — not live client results. Names anonymised.

06 · FAQ

Questions from travel teams.

Can we track each property separately?

Yes. Prompt graphs are built per destination and per property, so each hotel or product gets its own visibility and share-of-voice reporting.

How do we compete with booking marketplaces?

Marketplaces will keep being cited, but structured, current property data and question-led destination content let engines name and link the brand directly alongside them.

How do we keep seasonal answers current?

Rates, timings and closures are published as dated structured data, and weekly replays flag the moment an engine starts quoting stale information.

How many prompts does a travel brand need?

Most brands start with 250 to 500 prompts covering destinations, trip types, stay intent and comparison questions, then expand by season.

What actually moves travel citations?

Structured property data plus itinerary-shaped content moves the most, because engines compose plans and prefer sources they can quote with confidence.

07 · Get started

See which travel brands AI names when the trip is planned.

Run a free audit and get the destination-by-destination breakdown of where you are cited and where you are absent.

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