• Google AI Mode

Google AI Mode for Travel Websites: SEO Strategy for 2026

  • Felix Rose-Collins
  • 3 min read

Intro

Travel SEO is about to change fast because Google AI Mode is turning search into a trip-planning assistant.

People can now search things like:

  • “3 days in Rome itinerary”
  • “best time to visit Bali”
  • “where should I stay in Paris?”
  • “is Santorini worth it?”
  • “best hotels in Barcelona for families”
  • “what to pack for Thailand in March?”

…and Google AI Mode can respond with a full travel plan instantly.

That means travel websites will see:

  • more impressions
  • fewer clicks on generic itinerary posts
  • stronger competition for being the cited source
  • higher value in hyper-specific, experience-led travel content

In 2026, travel sites won’t win by publishing “Top 10 Things to Do in X” endlessly.

They’ll win by becoming the travel brand people trust after AI gives the summary.

What Google AI Mode Changes for Travel SEO

Traditional travel SEO relied on:

  • destination guides
  • itinerary posts
  • “best hotels” lists
  • “things to do” content
  • seasonal travel content
  • affiliate monetization (hotels, flights, tours)

AI Mode compresses planning.

So travelers will often:

  • get an itinerary directly in the SERP
  • see “best time to go” instantly
  • get a shortlist of attractions
  • only click when they need deeper detail or booking help

This makes “generic destination content” less valuable.

But it increases value for content that is:

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✅ experiential ✅ specific ✅ structured ✅ locally insightful ✅ booking-oriented

Travel Queries AI Mode Will Dominate

These are the biggest AI Mode query buckets.

Trip planning intent

  • itinerary for [city]
  • 5 day trip to [destination]
  • best areas to stay in [city]
  • how to get around [destination]

Logistics intent

  • airport transfer options
  • sim card / eSIM travel guide
  • public transport pass guide
  • safety tips in [city]
  • visa requirements (changes by country)

Seasonal intent

  • best time to visit [destination]
  • weather in [destination] in [month]
  • festivals in [destination]
  • what to pack for [destination]

Booking intent (highest conversions)

  • best hotels in [area]
  • best tours in [city]
  • cheapest flights to [destination]
  • best travel insurance for [trip type]

AI Mode summarizes planning, but booking clicks remain valuable.

What AI Mode Rewards in Travel Websites

AI Mode will cite and surface travel sites that show:

  • real experience (not generic)
  • updated information
  • local detail and specificity
  • structured itineraries and recommendations
  • practical “how-to” travel advice
  • trust signals and consistency

It will ignore “copycat travel posts” that all say the same things.

How Travel Websites Should Optimize for AI Mode (2026 Playbook)

Here’s what works.

Build travel guides that go beyond summaries

AI Mode can list the top attractions.

You win by adding detail like:

  • exact routes between places
  • best times to go to avoid crowds
  • how long to spend at each stop
  • cost ranges
  • real mistakes to avoid
  • best local options (not obvious tourist lists)
  • “what we would do differently next time”

Travel is lived experience.

Make that your moat.

Create itinerary pages that are “action-ready”

Itineraries should include:

  • morning / afternoon / evening structure
  • travel time between stops
  • map-friendly sequences
  • food stops and rest breaks
  • alternative routes (rainy day plan)
  • budget options and premium options
  • “book this here” sections (tours/hotels)

AI Mode might generate an itinerary.

But users click for one that feels realistic and bookable.

Win “where to stay” content (most monetizable)

This is still one of the best travel SEO formats.

Create:

  • best areas to stay in [city]
  • where to stay in [city] for families
  • where to stay in [city] for nightlife
  • where to stay in [city] on a budget

Include:

  • pros/cons per area
  • best hotel types per budget
  • distance/travel advice
  • safety notes
  • booking CTAs

AI Mode summarizes, but users click to choose.

Build trip comparison content

These pages will grow:

  • [destination] vs [destination]
  • best Greek islands for couples
  • Thailand vs Vietnam for backpackers
  • Bali vs Phuket for families

AI Mode shortlists, but users click for nuance.

Use “travel logistics hubs” as evergreen authority

High-performing evergreen hubs include:

  • eSIM and SIM card guides
  • airport transfer guides
  • transport pass guides
  • visa requirement hubs (with disclaimers)
  • packing lists
  • safety guides

These pages keep traffic because travelers need details.

What Travel Sites Must Avoid in 2026

Avoid:

  • generic “Top 10 things to do” with no unique value
  • outdated information (especially pricing and closures)
  • AI-written itinerary content with no realism
  • publishing endless similar posts with no structure
  • weak internal linking between trip pages

AI Mode will flatten generic travel content.

What Travel Websites Should Track in 2026

Track outcomes, not just pageviews:

  • impressions vs clicks shifts
  • affiliate conversion rate (hotel/tour clicks)
  • revenue per 1,000 sessions
  • performance of “where to stay” pages
  • return visitors (repeat trip planners)
  • newsletter signups
  • branded search growth

AI Mode success looks like: less traffic, higher booking intent.

Final Take: Travel Websites Win AI Mode by Being More Useful Than a Summary

Google AI Mode can plan trips.

But it can’t replace travel content that provides:

  • realism
  • local insight
  • logistics
  • booking clarity
  • “what actually happens” advice

In 2026, travel sites that win will:

  • create structured itineraries
  • dominate “where to stay” content
  • publish logistics hubs
  • add real experience and specificity
  • connect content directly to booking actions

That’s how you keep traffic, grow trust, and drive revenue — even with AI Mode.

Felix Rose-Collins

Felix Rose-Collins

Ranktracker's CEO/CMO & Co-founder

Felix Rose-Collins is the Co-founder and CEO/CMO of Ranktracker. With over 15 years of SEO experience, he has single-handedly scaled the Ranktracker site to over 500,000 monthly visits, with 390,000 of these stemming from organic searches each month.

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