Client
How a Thailand tax advisor became the named recommendation across every major AI platform.
ExpatTaxThailand.com had no AI presence when we started. ChatGPT, Perplexity, Grok, Gemini and Google AI Overviews returned competitors or refused to answer at all. Within one engagement the firm was named in all five, listed as the top recommendation for expat tax Thailand queries on ChatGPT, and cited consistently across the others.
Strong firm. Strong reputation among existing clients. Effectively invisible to AI.
ExpatTaxThailand had built a serious tax advisory practice for British, American and European expats in Thailand. Existing clients knew them. Prospects in 2025 were starting their search by asking ChatGPT or Perplexity, and the firm wasn't showing up.
When we ran a starting audit, no major AI platform returned the firm by name for expat tax Thailand queries. The site had no organisation schema, no llms.txt, and no knowledge graph definition. AI platforms had no reliable signal to work with, and were returning larger generalist firms instead. None of those competitors specialised in Thai expat tax. They just had clearer signals.
Our task was simple to state and slow to deliver. Build the entity foundations that would let AI read the firm accurately. Then build the content depth and citation profile that would make AI confident enough to recommend the firm above larger competitors.
Client testimonial
Discover, then Authority.
The engagement combined our Discover one-off setup with an ongoing Authority retainer. Discover built the entity foundations AI needs to read the business accurately. Authority then built the content depth and topical structure that made AI confident enough to recommend the firm above larger competitors.
Built the entity foundations.
AI couldn't recommend ExpatTaxThailand because it didn't understand what the firm did. We built the signals from the ground up. Schema, llms.txt, knowledge graph foundations, and a rewrite of the most important page in answer-first format.
- Organisation schema with full service list, location and accreditation signals
- llms.txt defining entity, services, audience and locations served
- Tax-service FAQs structured for AI ingestion across retirement, visas, tax IDs and DTA queries
- Knowledge graph mapping from service to brand to country to category
- Normalised brand identity across all digital platforms and directories
- Key page rewrite in an answer-first format AI extracts cleanly
- 10-page audit deck setting the priority work for the Authority retainer
Built the authority AI trusts.
Being found wasn't enough. AI had to trust the firm enough to recommend it above larger, more generic competitors. The Authority retainer built the content depth, citation profile and structural signals that make AI confident in a niche specialist.
- Topical pages covering retirement visa tax, DTA applications, tax IDs and expat obligations
- Source pages optimised for LLM crawling with clear factual structure
- Service pages restructured for factual clarity and AI extraction
- Schema matched to recognised tax-service ontologies
- Internal linking structured for AI navigation from broad to specific
- Six expert articles per month addressing real expat tax queries with first-hand evidence
- Three high-authority citations per month across credible publications and directories
- Author and brand schema maintenance reinforcing E-E-A-T signals
- Cannibalisation audit consolidating competing pages into clear authority topics
Featured in
Professional services firms are losing clients to AI invisibility. When a prospect asks ChatGPT for a recommendation and your name doesn't come up, that sale goes to someone else.
Book a CallRecommendations across every platform we tested.
Each of the screenshots below is reproducible. Open ChatGPT, Perplexity, or Grok and ask the same query. The recommendations still return.
