We put the questions a Dubai buyer actually asks to ChatGPT, Claude, Gemini and Perplexity, and recorded which of 354 off-plan each engine names. Only 12 consistently appear - the rest are invisible in the channel buyers increasingly start with.
When a Dubai buyer asks AI for an off-plan project, the same handful of names come back - Emaar, Nakheel, Sobha, DAMAC, Meraas. The other 342 off-plan, including most with strong reputations and busy practices, rarely surface at all. 77% 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 off-plan project. The full ranking of all 354 off-plan, with each one's band, is available on request.
| # | Off Plan Real Estate | Score | Visibility | Band |
|---|---|---|---|---|
| 1 | Emaar | 66.1 | 53% | Active |
| 2 | Nakheel | 41.9 | 33% | Active |
| 3 | Sobha | 36.3 | 25% | Active |
| 4 | DAMAC | 33.9 | 25% | Active |
| 5 | Meraas | 30.9 | 23% | Active |
| 6 | Knight Frank | 29.8 | 20% | Active |
| 7 | Emirates Hills | 23.8 | 15% | Active |
| 8 | Driven Properties | 23.6 | 15% | Active |
| 9 | Omniyat | 23.5 | 18% | Emerging |
| 10 | Binghatti | 23.5 | 15% | Active |
| + 344 more off-plan ranked, with each one's visibility and band. Get the full leaderboard & where you rank → | ||||
The top 5 are named in 23-53% of answers. By rank 10, visibility is already down to 15% - and 344 off-plan sit below this table.
These directories, regulators and platforms surfaced in AI answers. They are not competing for the buyer - they are the third-party sources AI re-reads. Getting listed and well-reviewed on them moves your own visibility.
| Source | Type | Engines |
|---|---|---|
| bayut.com | Directory | 1 |
| reddit.com | Forum | 1 |
| legalclarity.org | Publication | 1 |
| immigrationstartguide.com | Publication | 1 |
| gulfnews.com | Publication | 1 |
| + more sources cited across the cohort. Get the full source list → | ||
When ChatGPT, Claude, Gemini or Perplexity answer a buyer's question, the response is assembled from six technical inputs. No single marketing discipline covers them all - which is why 77% of off-plan 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.
Emaar, Nakheel, Sobha, DAMAC, Meraas are named most across ChatGPT, Claude, Gemini and Perplexity. Only 12 of 354 names appear regularly; the rest are invisible in AI answers.
Just 12 of 354 consistently appear; 77% rarely surface at all.
The most-cited sources are bayut.com, reddit.com, legalclarity.org - the third-party pages AI re-reads when it builds an answer.
160 AI answers across ChatGPT, Claude, Gemini and Perplexity, June 2026. Citations reflect the retrieval / web layer; some recommendations draw on training data with no visible citation. Snapshot 1 of 2 required for benchmark publication; not yet a benchmark.
Method. buyer questions x 4 engines (ChatGPT, Claude, Gemini, Perplexity) = 160 AI answers, June 2026. Each developer and brand is scored on whether the engines name it across the questions a Dubai buyer actually asks. "Visibility" = share of answers naming it. Citations reflect the retrieval / web layer; some recommendations draw on training data with no visible citation.
Status. Snapshot 1 of 2 required for benchmark publication. Do not quote as a benchmark until Snapshot 2 is captured. Data captured June 2026.
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