Real Estate & Construction AEO, GEO & AI Search Services in Singapore

Step one is translating your business into questions: we map the intent queries buyers and procurement teams actually put to AI, organized by business line — residential sales, commercial and investment, main contracting, material supply — and by target client profile, then confirm the list with you and load it into the dashboard. The system starts running those queries daily across all nine engines, English and Chinese, recording where you and competitors appear and which sources get cited, and produces a baseline report: who gets recommended today, which articles and threads AI leans on, and which version of your project status is showing up in answers. That baseline is your first dataset and the reference point every weekly report reconciles against.

We do not promise a date, because the pace depends on how each engine recrawls and starts trusting new sources — and in a high-value, high-trust category like property and construction, engines adopt reputation and dispute sources conservatively, while old material carries more inertia. Movement typically starts at the long tail: your name and a more accurate description appear first in questions about a specific project, city or build type, then spread toward the core trust questions. With daily tracking and a weekly report, you see every shift in the data as it happens. Our Base + Bonus billing also puts the timing risk on our side: the Bonus is only paid once the KPIs we agreed on are met.

Three layers on the dashboard: visibility — the share of buyer-side and procurement-side questions where the answer mentions you; recommendation rate — the share where AI actively places you on its shortlist rather than merely mentioning you; and source citations — which sources the engines drew on, drillable to the individual article or thread. That last layer matters most in this industry, because what you usually want to change is a handful of old items being cited over and over. The same metrics run for named competitors. The weekly report reconciles that week against the actions taken and what comes next — progress is verified in data, not asserted in calls.

Because in this industry the people funding a project and the people building it are often in different places: overseas buyers and occupiers research projects and agencies on ChatGPT and Perplexity, while capital partners, joint-venture developers, subcontractors and material suppliers on the China side verify your licences, track record and past disputes on Doubao and DeepSeek — and the bigger the number, the more rounds of checking. Chinese engines cite a separate source ecosystem: trade media, corporate-information platforms, and discussions among owners and people in the industry, which your English-language footprint barely reaches. If capital and supply chain find nothing there, or find something stale or negative, strong English visibility can still stall the deal at the last step.

We operate as managed execution, not extra workload for your team: diagnosis, content production and authority-source building are on us, and your side does two things — fact-checking (project status, handover dates and licence grades stay accurate on your authority) and opening up raw material (existing brochures, completion records, inspection and handover documents and press coverage are the best inputs). The dashboard and weekly reports are open to your marketing team, so AI-side visibility and competitor data feed straight into campaign and content planning — and sales knows in advance what AI-shaped impressions a client will bring into the room.

We do exactly three things: diagnose, produce truthful content and build authoritative sources — no poisoning, no fake volume, no fabricated reviews, no manipulation of forums, and no approaching posters to demand takedowns. Everything published is grounded in facts you have verified — real licences, real projects, real delivery records — and clears your approval before release. Where a delay or dispute has been resolved, our approach is to publish the outcome and the third-party verifiable record so engines have a newer, more accurate source to cite first; anything still in active dispute we leave alone. Nothing in this playbook needs hiding from platform rules or regulators — and in this industry, visibility won by faking it takes the financing and sales of your next project down with it when it collapses.