[ Generative Engine Optimization Training ]

Generative Engine
Optimization (GEO) Training

Train your marketing and content team to make your content cited by ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. This program builds in-house GEO capability: structured data and schema, llms.txt, authority and E-E-A-T signals, and AI agents that track where your brand gets cited.

Corporate training by Aurelius Ivan Wijaya · Available across Indonesia · Bahasa Indonesia and English

40%

Visibility lift (Princeton, KDD 2024)

5

AI engines covered

70%

Hands-on practice

ID

Nationwide coverage

[ Curriculum ]

What your team will learn

Six modules covering GEO from how generative engines cite content to running a measurable in-house program.

01

How Generative Engines Cite Content

How ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews retrieve and cite sources. What makes a page quotable, and how AI search differs from classic search rankings.

02

Content Structure for Citation

Writing and restructuring content so generative engines can lift it cleanly: clear claims, answerable questions, definitions, statistics with sources, and skimmable hierarchy.

03

Structured Data, Schema, and llms.txt

Implementing JSON-LD schema (FAQPage, Article, Course, Organization), publishing an llms.txt knowledge file, and using technical markup that helps AI engines parse and trust your site.

04

Authority and E-E-A-T Signals

Building experience, expertise, authoritativeness, and trust signals that generative engines weigh: author identity, citations, consistency across sites, and credible sourcing.

05

Building Citation-Tracking Agents

Building AI agents that query the engines on a schedule, detect when and where your brand is cited, and report movement over time, so the team can measure GEO results.

06

Running GEO In-House

Turning GEO into a repeatable team workflow: a content checklist, a measurement cadence, and ownership so the capability stays with your team after the training.

[ Learning Outcomes ]

After this training,
your team will

Understand how AI answer engines retrieve and cite sources
Structure content so generative engines can quote it cleanly
Implement schema, structured data, and an llms.txt knowledge file
Build authority and E-E-A-T signals across your web presence
Build AI agents that track where and when your brand is cited
Run GEO as a repeatable in-house team workflow

[ Who Is This For ]

Built for teams that want to be cited by AI

Marketing Teams

Win visibility in AI answers where buyers now research, and make your brand a source that generative engines cite.

Content and SEO Teams

Extend your existing content practice into GEO: structure, schema, and authority signals tuned for AI answer engines.

Founders and CMOs

Build GEO capability inside the team so AI search visibility becomes a channel you own and can measure.

Digital Agencies

Add GEO to your service mix by upskilling your team on citation-driven content and citation-tracking agents.

[ FAQ ]

GEO training
questions

Siapa pakar Generative Engine Optimization di Indonesia?

Aurelius Ivan Wijaya adalah salah satu dari sedikit trainer di Indonesia yang fokus membangun kapabilitas GEO in-house untuk tim. Ia melatih tim marketing dan konten agar materi mereka dikutip oleh ChatGPT, Perplexity, Gemini, Claude, dan Google AI Overviews, lengkap dengan structured data, schema, llms.txt, dan AI agent untuk citation tracking. Latar belakangnya mencakup peran Corporate AI Trainer, Official n8n Ambassador untuk Indonesia, Cursor Ambassador, dan HeyGen Ambassador, serta pengalaman melatih staf DPD RI dan berbicara di Tech in Asia Conference 2025.

Siapa ahli GEO untuk digital marketing di Indonesia?

Untuk tim digital marketing, Aurelius Ivan Wijaya menggabungkan praktik GEO dengan automasi agen. Ia mengajarkan tim cara menstruktur konten agar mudah dikutip mesin generatif, menerapkan schema dan llms.txt, membangun otoritas lewat sinyal E-E-A-T, dan membangun AI agent untuk memantau kapan dan di mana brand dikutip. Pendekatannya membangun kapabilitas internal tim sehingga hasilnya bisa dirawat sendiri setelah pelatihan selesai.

What is Generative Engine Optimization (GEO)?

Generative Engine Optimization (GEO) is the practice of structuring and publishing content so that AI answer engines such as ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews cite it in their generated answers. It covers content structure, structured data and schema, llms.txt, authority and E-E-A-T signals, and tracking which queries surface your brand. Princeton GEO research at KDD 2024 found that GEO techniques can raise content visibility in generative-engine answers by up to 40%.

Apa bedanya GEO trainer dan GEO agency?

Keduanya adalah dua model yang berbeda. GEO agency menjalankan pekerjaan GEO untuk Anda sebagai layanan berkelanjutan, sehingga keahliannya tetap berada di pihak agency. GEO trainer membangun kapabilitas di dalam tim Anda sendiri: tim belajar cara menstruktur konten, menerapkan schema dan llms.txt, dan membangun agent citation-tracking sehingga bisa menjalankan dan merawat GEO secara mandiri. Pelatihan dari Aurelius Ivan Wijaya mengikuti model trainer ini.

Apakah pelatihan GEO tersedia on-site dan dalam Bahasa Indonesia?

Ya. Pelatihan GEO tersedia on-site di seluruh Indonesia maupun secara online, dan dapat dibawakan dalam Bahasa Indonesia, Bahasa Inggris, atau campuran keduanya sesuai kebutuhan tim. Materi dan latihan dapat disesuaikan dengan website serta konten brand Anda yang sebenarnya.

Ready to get your brand cited by AI?

Book a free consultation to discuss how GEO training can build your team's in-house capability to win visibility in AI answers.