Education AEO, GEO & AI Search Services in Singapore

Step one is translating your business into questions: we map the intent queries students and parents actually put to AI, organized by program line — school placement, study-abroad applications, language training, tuition — and by target family 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 posts and articles AI leans on, and how wide the gap is between your English and Chinese sides. 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-trust category like education, engines adopt reputation sources conservatively. Movement typically starts at the long tail: your name and a more accurate description appear first in specific program and city questions, then spread toward the core trust questions. With daily tracking and a weekly report, you see every shift in the data as it happens rather than waiting for a vague all-clear. 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 student-side and parent-side questions where the answer mentions you; recommendation rate — the share where AI actively places you on its suggested list rather than merely mentioning you; and source citations — which sources the engines drew on when talking about you, drillable to the individual post or article. The same metrics run for named competitors, so the gap is directly comparable. The weekly report reconciles that week's changes against the actions taken and what comes next — progress is verified in data, not asserted in calls.

Because the person doing the research and the person paying are often different people: students check programs and rankings on ChatGPT, while the parent making the final call — especially in mainland Chinese families — verifies reputation on Doubao and DeepSeek, and the higher the fee, the more rounds of checking. Chinese engines cite a separate source ecosystem — question-and-answer communities, parent discussions, WeChat content — that your English-language footprint barely reaches. If parents find nothing about you there, or find something stale or negative, strong English visibility can still lose the enrollment at the very 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 (fees, programs, and accreditation stay accurate on your authority) and opening up raw material (existing prospectuses, parent testimonials, 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 admissions counselors know in advance what AI-shaped impressions parents 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 or review threads. Everything published is grounded in facts you have verified — real accreditation, real programs, real outcomes — and clears your approval before release; we do not and cannot delete negative posts, we give engines more accurate, more current sources to cite first. Nothing in this playbook needs hiding from platform rules or regulators. In education, reputation is the business — visibility won by faking it takes enrollment down with it when it collapses.