We put the questions a Singapore client actually asks to ChatGPT, Claude, Gemini and Perplexity, and recorded which of 88 firms each engine names. Only 5 consistently appear - the rest are invisible in the channel clients increasingly start with.
When a Singapore client asks AI for an immigration law firm, the same handful of names come back - LIM Immigration Services Pte Ltd, Davies & Associates LLC, Fragomen Singapore, KGP Legal LLC, Magrath Sheldrick Singapore. The other 83 firms, including most with strong reputations and busy practices, rarely surface at all. 73% of the cohort is effectively invisible in AI search.
Real, unedited answers from the study - the same handful of names recur, question after question.
Visibility = share of AI answers naming the firm. The full ranking of all 88 firms, with each one's band, is available on request.
| # | Immigration Law | Score | Visibility | Band |
|---|---|---|---|---|
| 1 | LIM Immigration Services Pte Ltd | 111.9 | 90% | Active |
| 2 | Davies & Associates LLC | 103.0 | 90% | Emerging |
| 3 | Fragomen Singapore | 86.6 | 75% | Active |
| 4 | KGP Legal LLC | 83.6 | 70% | Emerging |
| 5 | Magrath Sheldrick Singapore | 78.8 | 65% | Active |
| 6 | Transform Borders | 75.6 | 65% | Emerging |
| 7 | JCP Law LLC | 68.9 | 55% | Active |
| 8 | LYTAG Law LLP | 52.0 | 45% | Emerging |
| 9 | Tafapolsky & Smith LLP | 49.5 | 40% | Emerging |
| 10 | HJM Asia Law & Co LLC | 47.5 | 40% | Emerging |
| + 78 more firms ranked, with each one's visibility and band. Get the full leaderboard & where you rank → | ||||
The top 5 are named in 65-90% of answers. By rank 10, visibility is already down to 40% - and 78 firms sit below this table.
These directories, regulators and platforms surfaced in AI answers. They are not competing for the client - they are the third-party sources AI re-reads. Getting listed and well-reviewed on them moves your own visibility.
| Source | Type | Engines |
|---|---|---|
| lawsociety.org.sg | Regulator | 3 |
| moisg.com | Regulator | 1 |
| straitstimes.com | Publication | 3 |
| reddit.com | Forum | 1 |
| thestraitstimes.com | Publication | 2 |
| + more sources cited across the cohort. Get the full source list → | ||
When ChatGPT, Claude, Gemini or Perplexity answer a client's question, the response is assembled from six technical inputs. No single marketing discipline covers them all - which is why 73% of firms rarely surface.
We cover all six layers - the audit, the fixes, and the ongoing visibility - so AI starts recommending you. One programme, every engine.
28 Labs measures how brands get recommended across ChatGPT, Claude, Gemini and Perplexity. We've analysed 11,000+ AI answers covering 100+ brands across 15 markets - a uniquely deep view of what AI actually recommends, and why.
LIM Immigration Services Pte Ltd, Davies & Associates LLC, Fragomen Singapore, KGP Legal LLC, Magrath Sheldrick Singapore are the most consistently named across ChatGPT, Claude, Gemini and Perplexity. Only 5 of 88 firms appear regularly.
Just 5 of 88 firms consistently appear; 73% rarely surface at all.
The most-cited sources are lawsociety.org.sg, moisg.com, straitstimes.com - the directories, regulators and platforms AI re-reads to build its answers.
Asked across the four engines, AI most often names LIM Immigration Services Pte Ltd, Davies & Associates LLC, Fragomen Singapore. The full ranking, and where each firm sits, is on this page.
Each firm is scored on whether ChatGPT, Claude, Gemini and Perplexity name it across the questions clients ask, May 2026. Citations reflect the retrieval / web layer; some recommendations draw on training data with no visible citation.
This page shows the public top 10. Get the full ranking of all 88 Singapore firms, exactly where you sit across all four engines, and the specific moves to climb.
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How we did it. Client questions x 4 engines (ChatGPT, Claude, Gemini, Perplexity), 88 Singapore firms scored on whether each engine names them. "Visibility" = share of answers naming the firm. Citations reflect the retrieval / web layer; some recommendations draw on training data with no visible citation. Data captured May 2026.