For travel platforms, OTAs & metasearch

The travel-publisher discovery you need is the exact run we already proved at 1.2 million domains.

A full run over the travel vertical can surface an estimated ~122,000 qualifying travel publishers for your affiliate program — each ICP-screened with per-signal confidence scores. We built this for travel first: for a large-scale production run on our own classification platform, the pipeline read 1.73M travel-related domains and screened 1.2M against the ICP at ~96% precision on a reviewed sample. Website-type classification keeps content publishers in and competing OTAs out.

~122,000
qualifying travel publishers from a full run (estimate)
1.73M
travel-related domains identified (reference engagement)
1.2M
domains ICP-screened in one run (reference engagement)
~96%
precision on a reviewed sample (reference engagement)

See the exact travel output

The travel sample report shows the full signal transcript, ICP badges, and confidence scores you would receive per publisher — built from a real screening run in this vertical, with domains withheld for confidentiality.

View the travel sample report
The addressable universe

The travel publisher opportunity is millions of domains deep

Travel suppliers recruit the same famous blogs and the same booking-adjacent directories. The long tail — destination specialists, regional guides, gear and itinerary sites in every language — is where uncontested affiliate capacity actually lives. The figures below are extrapolations from our classification database, labeled as estimates, not guarantees.

Millions of travel domains

The travel category is one of the largest on the open web — our classifier associates millions of domains with destinations, flights, stays, tours, and gear worldwide. This is the raw universe before any ICP screening.

Tens of thousands to hundreds of thousands of publishers

The content publishers a real travel ICP clears once competing OTAs, agencies, and thin sites are removed (estimate). ~122,000 for a typical program — the vast majority never contacted.

Your slice, defined by you

Narrow by product — flights, stays, tours, insurance, gear — and by language and geo, and the run returns only publishers whose readers book what you sell. Scope is a dial, not a fixed number.

How to read these numbers: universe counts come from our 120M+ classified-domain database; qualifying-publisher figures are estimates extrapolated from calibration slices. The 1.73M / 1.2M / ~96% figures are from the reference engagement. Your free pilot returns the first 20 real qualified publishers plus a full-run projection specific to your ICP.
ICP examples

The publishers a travel platform actually wants to recruit

Written from a travel supplier's approval logic — the content sites that catch travelers mid-decision, not competitors selling the same inventory. Each profile is expressed as the required, preferred, and disqualifying signals we screen for.

Flight & route storyteller (for metasearch)

Individual travel writers whose itineraries and fare-hacking posts catch planners while they are still choosing dates and routes — the highest-intent moment for a flight-search platform.

Requires: flight content · destination guides · personal voice · content publisher
Prefers: deal alerts · affiliate-ready · engaged audience
Never: own booking engine · competing OTA

Stay reviewer (for accommodation platforms)

Reviewers whose where-to-stay content ranks for neighborhood and property searches, with first-hand stays and their own photos. Aggregated star-ratings scraped from elsewhere don't clear.

Requires: accommodation reviews · destination guides · content publisher
Prefers: personal voice · recent travel · affiliate-ready
Never: own booking engine · hotel / agency site

Things-to-do author (for tours & activities)

Publishers readers consult after booking flights: day-trip write-ups, experience reviews, things-to-do lists. Engagement matters more than polish because activity bookings are impulse-adjacent.

Requires: activity coverage · recent travel · engaged audience
Prefers: destination guides · personal voice · affiliate-ready
Never: own booking engine · press-release site

Prep-content publisher (for insurance & gear)

Sites built on practical pre-departure advice — visas, safety, packing, gear — that reach travelers in checklist mode. High fit for travel insurance and gear partners.

Requires: insurance / visa advice or gear reviews · content publisher
Prefers: trip-planning tools · affiliate-ready · fresh content
Never: own booking engine · thin / spun content
The instrument

Travel-specific signals — with website-type classification at the core

Every domain in the travel category is read against a fixed field set, each extracted from what the site actually publishes and shipped with a confidence score. The website-type field is what separates a content publisher you want from a competing OTA you don't.

Website type (content publisher vs OTA / airline / agency) Destination guides Flight content Accommodation reviews Activity & tours coverage Insurance / visa advice Gear reviews & packing content Personal voice / individual-run Recent travel (content freshness) Affiliate-ready Fare / deal alerts Language & geo focus Own booking engine (disqualifier) Press-release / syndicated site (disqualifier)

Need a field that isn't here — "covers a specific region only", "runs a YouTube channel", "already promotes a competing supplier"? Custom signals are defined per engagement and calibrated the same way.

Proven at scale — one engagement, in numbers

The exact run we did for a travel affiliate program

In a large-scale production run on our own classification platform, the pipeline processed the travel vertical end to end and the client reviewed the output against their own judgment. These four numbers are from that engagement — not estimates.

0
domains in the source dataset
0
travel-related domains identified
0
domains ICP-screened in one run
0
precision on a reviewed sample
30M
source domains
1.73M
travel-related
1.2M
ICP-screened
~96%
precision confirmed

Client anonymized by agreement. Your run starts from our current 120M+ classified-domain database; the full-run yield estimate of ~122,000 qualifying publishers is extrapolated from calibration slices and confirmed against your ICP in the pilot.

Why full-web discovery

Full-web discovery vs. a travel affiliate marketplace

Marketplaces only show travel publishers already enrolled — and they don't reliably tell a content publisher apart from a competitor OTA. Website-type classification does.

 Full-web discoveryAffiliate marketplace / directory
Starting setEvery classified travel domain, all languagesOnly sites already enrolled
Content vs competitorWebsite-type classification keeps OTAs outNot distinguished — competitors slip in
Long-tail reachRegional & single-operator specialists surfacedMostly absent
Language & geoTarget exactly the markets you sell intoSkewed to who happened to join
Proven scale1.2M domains screened at ~96% precisionLimited to the enrolled base's size
OutputDeduplicated CSV, one row per canonical domainIn-platform list, limited export
Questions

Travel publisher discovery — FAQ

How do you keep competing OTAs out of the results?
Every domain gets a website-type classification, and a site that runs its own booking engine — an OTA, airline, or agency — is a disqualifier by default. That removes the whole class of competitor false positives structurally, rather than leaving your team to catch them by hand.
Where do the reference numbers come from?
A large-scale production run on our own classification platform. The numbers — 30M source dataset, 1.73M travel-related domains, 1.2M ICP-screened, ~96% precision on a reviewed sample — are from that run. We don't name clients or show anyone's publisher lists.
Can you target specific languages and regions?
Yes. Detected language and geo focus are screening fields, so you can recruit publishers writing in a target language for a specific source market — essential when you are launching or growing in a new region. The travel vertical spans many languages in our database.
Where does the ~122,000 figure come from vs. the 1.2M?
1.2M is the number of domains actually screened in the reference engagement. ~122,000 is a full-run yield estimate of qualifying publishers for a typical travel program, extrapolated from calibration slices and labeled as an estimate. Your pilot replaces it with a projection built from your own ICP and a real 20-publisher sample.
What does the free pilot include?
The full pipeline configured for your travel ICP, stopped at the first 20 qualified publishers — free — plus a projected full-run yield and quotes. It is the fastest way to see real content-publisher names before committing to anything.

Run the travel pipeline we proved — on your program

The free pilot runs the full pipeline on the travel vertical, tuned to your ICP, and delivers your first 20 qualified content-publisher domains plus a full-run projection. No cost, no obligation.

Request a Free Pilot