How travelers ask AI
to plan a stay.

The brand

Stay Unique operates in the premium vacation-rental space, with both a consumer site for travelers and a B2B property for partners. Travelers researching a stay increasingly start with an AI assistant instead of a search engine or an OTA, asking open-ended questions about cities, neighborhoods, and types of property.

The challenge

Hotels and accommodations is one of the most commercially valuable categories inside AI assistants. The properties an assistant chooses to mention by name in a recommendation capture a meaningful share of the resulting demand, and those name-checks can vary city-by-city and prompt-by-prompt.

Because Stay Unique has both a consumer and a B2B web property, the engagement had to cover two technical surfaces in parallel. The booking app was a third surface with its own crawlability constraints (SSR coverage, JavaScript dependencies, business impact).

How we ran it

Aiso engagements follow a structured three-phase plan (research, actions, reporting). For Stay Unique, the actions phase was applied twice — once to the B2C surface and once to the B2B surface — with a separate technical deep dive on the booking app.

1. Phase 1 · Research

   • Onboarding: products, target markets, and traveler personas mapped, B2B and B2C separately.
   • Key prompts: real travel-planning prompts pulled from the consent-based panel — destination research, neighborhood selection, property type — with intent classification.

2. Phase 2 · Actions

   • Tech stack review covering the B2B site, the B2C site, and the booking app.
   • llms.txt file with implementation guidelines.
   • Two crawlability audits (B2B and B2C) plus a deeper technical audit for the booking app, with SSR coverage metrics, JS-dependency analysis, and a P0/P1 remediation plan.
   • Schema markup files covering the landing page, FAQ, About / company page, blog index, destination collection page, and services / activities catalog.
   • Third-party source analysis: forums, travel media, and review sites that influence AI mentions in the vacation rental category.
   • Competitive benchmarking against the rest of the premium vacation-rental category.

3. Phase 3 · Reporting

   • KPI targets aligned with business objectives.
   • Bottom-of-funnel attribution: AI-assisted clicks and conversions in Google Analytics.
   • Top-of-funnel impressions modeled from server logs.
   • Weekly recap mailers covering crawlability and schema progress and next-step action items.

Where it stands

The engagement is ongoing. Crawlability work and schema markup are largely complete across both surfaces; reporting and dashboarding are in progress. For more on the underlying data, see our methodology page.