A partnerships list full of OTAs, aggregators, operators, and tourism boards wastes your team's best outreach hours. Website-type classification separates genuine content publishers from everything that merely looks travel-relevant — before a single email goes out. This guide shows the taxonomy, the signals that split each class, and the anonymized run that proves it holds at scale.
A keyword filter treats every travel-flavored domain as a lead. Half of them cannot enter your affiliate program at all — an online travel agency is a competitor, a tour operator sells its own inventory, a tourism board never monetizes. Sorting by website type is the difference between an outreach list and an inbox full of polite declines.
Operators and OTAs bounce your partner pitch by definition. Removing them up front means every send lands on a site that can actually carry your links.
You address a publisher as a publisher — commission, content fit, audience — not with a pitch that reads as if you mistook them for a booking engine.
Once the aggregators are filtered out, what remains is the independent editorial layer your rivals never bother to reach — where recruiting capacity is still open.
Every travel-relevant domain sorts into one of these classes. The classifier reads what the site actually does — publishes content, sells inventory, aggregates other sellers, promotes a destination — not what its meta tags claim. Only the first class is a recruitable affiliate.
Independent blogs, review hubs, guide sites, and destination newsletters that publish editorial and monetize through affiliate links or ads.
Online travel agencies that sell flights, hotels, or packages directly through their own checkout. Structurally a competitor, not a partner.
Comparison engines that pull listings from many sellers. They may look editorial but run on a feed, not on writers.
Tour operators, hotels, airlines, and activity providers selling their own product. They are the advertiser's peers, not its affiliates.
Official destination marketing organizations. Authoritative and content-rich, but non-commercial and unable to join an affiliate program.
Made-for-advertising and spun-content domains with no genuine audience. They pollute a list and damage sender reputation.
Most misclassification comes from two look-alike pairs. Naming the discriminating signal for each is what turns a fuzzy guess into a reliable call.
Both review options and link out. The split is the engine: a publisher writes opinionated editorial and places affiliate links inside it; an aggregator renders a live feed of sellers with minimal original writing. Look for authorship and article depth, not for the presence of outbound links.
A publisher recommends things it does not sell; an operator sells its own product. The decisive signal is own-commerce — a checkout, availability calendar, or inventory pricing. If the site takes the booking itself, it is a supplier, not a partner.
Each domain is read against a fixed vocabulary of website-type signals, every one extracted from what the page actually contains and shipped with a confidence score. Website type is derived from the combination — not from a single keyword.
Need a distinction that isn't here — "runs its own OTA on a subdomain", "affiliate blog attached to a supplier brand"? Custom website-type rules are defined per engagement and calibrated the same way.
Website type is not guessed from a domain name. It is read from the site itself, scored, and reconciled against the exclusion rules before anything reaches your list.
Every travel-associated domain in the 120M+ classified-domain database enters the pool — the whole class, not a directory's members.
An LLM reads the live page and extracts the website-type signals — booking flow, feed, byline, monetization — each with its own confidence score.
Signals resolve to one of the five classes. Own-commerce and live-feed signals force an exclusion regardless of how editorial the wrapper looks.
A reviewed sample confirms the split holds before the full run, and only the content-publisher class lands on your recruitment list.
In a large-scale production run on our own classification platform, the pipeline read the travel vertical end to end, sorted every domain by website type, and kept only content publishers. The client reviewed a sample of the output against their own judgment.
Numbers from one anonymized engagement. Multi-country travel programs sit on millions of candidate domains; a single-vertical run typically yields tens of thousands to hundreds of thousands of qualifying publishers once suppliers and aggregators are removed (estimate).
The surface impression of a travel site is a poor guide to whether it can partner with you. The classifier ignores the impression and reads the structure.
| Website type | Can it carry your links? | Looks travel-relevant? | Decisive signal |
|---|---|---|---|
| Content publisher | Yes — recruit | Yes | Editorial + affiliate/ad monetization, no own checkout |
| OTA | No — competitor | Yes | Own booking and payment flow |
| Aggregator | No — feed, not writers | Yes | Live price feed, deep-link redirects |
| Operator / supplier | No — supplier | Yes | Own inventory + availability calendar |
| DMO / tourism board | No — non-commercial | Yes | Official body, no monetization |
The free pilot runs the full pipeline on your industry, separates publishers from OTAs, aggregators, operators, and DMOs, and delivers your first 20 qualified publishers plus a full-run projection. No cost, no obligation.
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