AIT Thailand — a licensed Thai inbound DMC (TAT 14/04664 · ATTA 04996). Its GEO core work is done — off-site authority signals and AI citations are established; only the client’s real case content is pending, which will lift it another notch. This page is our dimension-by-dimension GEO diagnostic of it, and our standard method for assessing any site’s AI visibility.
Structure, tech, Schema, multilingual — the underlying work is in place. It’s 88 not 100 because some service and case pages still await the client’s real material.
Add real case content → 90+Authority signals and extractable content are established; the basis for AI citation has formed, now in continuous observation and iteration.
Core optimization live · monitoringGEO isn’t a vague score but a set of concrete, checkable, improvable dimensions. Here’s AIT’s current diagnostic.
AIT is an entity AI can clearly identify: a licensed inbound DMC with verifiable license numbers (TAT 14/04664, ATTA 04996); disambiguation is done — no mixing with same-named agencies.
Organization and FAQPage JSON-LD are live, so AI reads structured company info and FAQs directly. Service / itinerary Schema can be added later.
A trilingual static site on Cloudflare: fast, clean structure, solid on mobile, all content in HTML — crawlers and LLMs read it directly, no JS rendering needed.
/zh /en /th trilingual folders + hreflang cross-linking let AI pick the right language version — for the Chinese, English and Thai markets.
FAQ and structured content are solid; further gains depend on the client adding real case and itinerary material, which can become more "directly citable factual statements."
The B2B agency hub and FIT long-tail FAQs ("how to find a Thai DMC", "are charters/airport pickups reliable") are expanded; coverage grows further as real cases are added.
Licenses and official credentials are complete; off-site authority signals — industry directories, review aggregation, cross-site citations — are systematically built and cross-verified with the site into an AI-trustable evidence chain.
With authority signals and extractable content in place, the basis for AI citation has formed; now in an observation-and-iteration phase, calibrated against real questions.
Trilingual static site + Organization / FAQPage Schema + disambiguation + hreflang — the underlying structure is all in place.
Industry directories, review aggregation, cross-site citations — the external evidence chain AI trusts is built.
Track ChatGPT / Gemini citation performance, calibrate against real questions, iterate with algorithm updates.
Once the client adds real case and itinerary material, answer-readiness and the foundation score step up (90+).
Whether you already have a site or are rebuilding — we’ll tell you your score in AI’s eyes and how to raise it.