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Services · AI Search Visibility for Travel

Be the answer an assistant can check and cite

AI assistants recommend what they can read, verify and quote. We do generative engine optimization as engineering: structured data, consistent facts, fresh availability and citable pages, measured against a standing panel of traveler prompts.

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A hurried cartographer copies a new map, with threads running only from the clearest source map on the wall.
Field noteAssistants are cartographers in a hurry. They copy from the clearest map on the wall.

Assistants concentrate their recommendations

Ask an assistant for a quiet, dog-friendly lodge in the high desert with a hot tub and late check-in, and it will name three or four places. It names the ones it can parse, cross-check and quote with some confidence. For most independent brands, that’s a short list they aren’t on.

The concentration shows up in the data. Similarweb’s AI share-of-voice leaderboard for travel (ChatGPT, U.S., October 2026) put Expedia at 24%, Booking.com at 17% and Google Flights at 16%. Independent operators, lodges and destinations split what’s left.

Why the good small brand loses

Usually it isn’t the quality of the trip. It’s the quality of the evidence:

  • The pet policy says “call us,” so an assistant can’t confirm it.
  • The business name, phone number and season dates differ across the website, map listings and three directories.
  • Availability lives in a widget no crawler can read, so the assistant hedges or sends travelers elsewhere.
  • An AI crawler is blocked by a robots.txt rule copied from a security checklist years ago.
  • The best material, a guide’s notes on which canyon gets afternoon shade, sits in a PDF nobody links to.

Every item on that list can be fixed, and none of the fixes is a copywriting trick. Assistants also punish what they can’t verify, which is why stale facts do as much damage as missing ones; we cover that in Phantom trails and closed cafés. So we treat generative engine optimization as an engineering job, owned like any other part of your stack, whether you run a lodge or small hotel group, a destination organization or a tour and activity business.

Checklist

What we fix

Six workstreams. The audit tells us which matter most for you, though most brands need some work on all six.

0 of 12 ready
01Structured data
02Entity consistency
03Freshness
04Citable content
05Crawler access
06Monitoring

How it works

How the work runs

  1. 01

    Baseline panel

    Weeks 1–2

    We build 150 to 300 traveler-style prompts for your market, by season, trip type, budget and need. Then we run them across several assistants and record who gets named, cited and described accurately.

  2. 02

    Technical audit

    Weeks 1–2

    Structured data, entity records, crawler rules, rendering, freshness and policy pages, scored and ranked by likely impact.

  3. 03

    Fixes from the source

    Weeks 3–8

    We connect structured data and freshness to your systems of record, correct listings, open crawler access and publish llms.txt. If your team owns the website, we work in your repository.

  4. 04

    Citable content

    Weeks 4–10

    With your guides and front-desk staff, we write the pages assistants are missing: specific, dated and easy to quote.

  5. 05

    Monitor and iterate

    Monthly

    The panel re-runs, the report shows what moved, and next month's work follows the evidence.

Outcomes, measured honestly

Nobody can promise what an assistant will say tomorrow, and we won't. We commit to measurable movement on the signals behind recommendations, reported against the baseline we took in week one.

  • Mention rate: how often you're named for prompts you should win
  • Citation rate: how often your own pages are the source
  • Accuracy: whether policies, prices, seasons and accessibility facts come out right
  • Freshness lag: how long a change on your side takes to reach answers
  • Assistant-referred visits and bookings: tracked in your analytics where referrers allow

Side by side

Left alone, or engineered

Without the workWith the work
Policies"Call us for details", which no assistant can confirmStructured, dated and quotable
Business factsThree phone numbers across five listingsOne canonical record, pushed everywhere
AvailabilityHidden inside a booking widgetPublished from the source, with dates
CrawlersBlocked by an old rule nobody remembersA deliberate, documented access policy
MeasurementSomeone asks an assistant now and thenA scheduled panel with month-over-month scores

We assumed we had a content problem. Most of it was plumbing: a robots.txt rule from an old security audit, two phone numbers and a pet policy that just said 'ask'. Fixing those did more than any blog post we'd written.

Marketing lead, boutique lodge group in the high desert

Connected modules and next steps

Questions

Frequently asked questions

Is generative engine optimization just SEO with a new name?

They overlap: crawlability, structured data and good pages help both. The target differs. Search engines rank pages, while assistants compose answers from facts they can cross-check. That puts more weight on entity consistency, freshness and quotable specifics, and less on keywords.

Can you guarantee we'll be recommended?

No, and be wary of anyone who does. Assistants change models and sources constantly. We guarantee the work, the measurement and honest reporting.

What is llms.txt, and does it matter?

It's an emerging convention: a plain Markdown file at your site root that points language models to your most useful pages. Support varies by assistant. It's cheap to publish and maintain, so we treat it as good hygiene, not a ranking lever.

Should we let AI crawlers into our site?

That's your call, and it should be a deliberate one. Blocking AI search crawlers usually means you won't be cited. Allowing training crawlers is a separate decision. We document the trade-offs and set rules that match your choice.

Do you write the content?

We write it with you. The most citable pages carry first-hand detail, like which wash floods after a storm or which room has the step-free shower, and that knowledge lives with your staff.

Related

Keep exploring

See what assistants say about you today

Bring three prompts a traveler might use to find you. On the discovery call, we'll run them together and talk through what the baseline would measure.

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