ChatGPT
Organic Traffic
Indonesia
Threads
Market Research

Indonesian ChatGPT Users on Threads: 2,043 Posts, 1M+ Engagements & Where the Opportunities Are

Organic traffic and user intent analysis from 2.0K Threads posts about ChatGPT by Indonesian users — 2025-03 to 2026-04.

Source: Threads Indonesia (scraped via intura-account)Period: 2025-03 to 2026-04Method: Posts classified by user intent (7 categories) and industry use case (11 segments). Traffic proxy: reply count = estimated organic user interactions. Engagement = weighted sum of likes×1 + replies×2 + reposts×3 + reshares×2.

Total Posts

2.0K

418 comments

Organic Traffic

104.6K

estimated unique users

Total Engagement

1.0M

weighted likes+replies+reposts

Analysis Period

13 months

2025-03 to 2026-04

Section 1 · User Intent

Why Do Indonesian Users Talk About ChatGPT on Threads?

Of the 2,043 posts analyzed, nearly 4 in 5 are general information content — news, curiosity, viral sharing. But smaller segments — tutorials and monetization — generate significantly higher engagement per post.

Traffic & Engagement Distribution by Intent
General Info79.9% traffic
83.5K users·64.9% engagement·avg 510/post
Tutorial12.4% traffic
12.9K users·25.7% engagement·avg 551/post
Pro ChatGPT5.8% traffic
6.1K users·6.2% engagement·avg 478/post
Monetization1% traffic
1.1K users·2.4% engagement·avg 535/post
Asking0.4% traffic
407 users·0.5% engagement·avg 254/post
For Work0.3% traffic
304 users·0.2% engagement·avg 125/post
Skeptical0.2% traffic
213 users·0.1% engagement·avg 309/post
Thin bar = traffic share
Thick bar = engagement share
Tutorials punch above their weight. Tutorial posts are only 12.4% of traffic, but generate 25.7% of total engagement — the highest efficiency ratio across all intents.
Monetization = niche but high-value. Only 47 posts about monetization, but avg engagement of 534/post — higher than general content (510/post).
General content = volume engine. 79.9% of organic traffic comes from 1,330 general information posts. This is the entry point — not the conversion.
Avg Engagement per Post
Tutorial
551
Monetization
535
General Info
510
Pro ChatGPT
478
Skeptical
309
Asking
254
For Work
125
Monthly Intent Engagement (Absolute)

Raw engagement per intent over 13 months — toggle intents below to isolate trends

Filter intents

Apr–May '25

Tutorials dominated — first wave of Indonesian ChatGPT content creators

Dec '25 – Jan '26

General content surged as ChatGPT went mainstream

Mar '26

Monetization spiked — ChatGPT image generation triggered a side hustle rush

Section 2 · Industry Use Cases

What Is ChatGPT Used For?

After understanding why people post, we look at what ChatGPT is used for. 11 industry segments were identified, with education, entrepreneurship, and content creators as the three main pillars.

Total Engagement by Industry (Sorted)

Click an industry to see keywords & detailed metrics

General
40.6%
Education & Academic
15.3%
Business & Entrepreneurship
13.2%
Content Creators
6.6%
Career & HR
6.8%
Technology & IT
6.2%
Finance & Investment
4.2%
Marketing & Sales
3.5%
Creative Writing
2.1%
Health & Wellness
0.6%
Law & Government
1%
Top 5 Industries — Monthly Engagement Trend

General, Education, Business, Content Creators, Career & HR — use toggles to compare industries

Filter industries

May 2025

General & Career surged — mass ChatGPT onboarding period

Jun 2025

Content creators peaked — viral tutorial season

Feb 2026

General & HR rose sharply — ChatGPT o3 + job search season

Mar 2026

Business exploded — image generation SME opportunity

Data Source

Threads Indonesia (scraped via intura-account)

2,043 posts · 418 comments

Analysis Method

Posts classified by user intent (7 categories) and industry use case (11 segments). Traffic proxy: reply count = estimated organic user interactions. Engagement = weighted sum of likes×1 + replies×2 + reposts×3 + reshares×2.

Generated

2026-04-01

Intura Research

Pertanyaan yang Sering Diajukan

How are Indonesians using ChatGPT on Threads?
Across 2,043 Threads posts from March 2025 to April 2026, the largest intent was general ChatGPT info and curiosity (1,330 posts, 79.9% of estimated organic traffic), followed by tutorials and teaching (488 posts) and pro-ChatGPT advocacy (135 posts). By industry, the conversation is led by General topics, Education & Academic, and Business & Entrepreneurship use cases.
How many posts and engagements were analyzed in this ChatGPT Indonesia study?
The study analyzed 2,043 Threads posts published by Indonesian users between March 2025 and April 2026. Those posts generated 1,045,709 weighted engagements and an estimated 104,554 organic user interactions (measured by reply count). Engagement is a weighted sum of likes×1 + replies×2 + reposts×3 + reshares×2.
Which industries drive the most ChatGPT demand in Indonesia?
The General category leads with 735 posts and 40.6% of estimated traffic, driven by news, curiosity, and viral sharing. Education & Academic follows (414 posts, 15.3% of traffic), dominated by thesis and coursework use, then Business & Entrepreneurship (465 posts, 13.2%), where SME and side-hustle communities peaked in March 2026. Content Creators and Career & HR round out the most active segments.
What is the biggest ChatGPT monetization opportunity in Indonesia?
AI Education & Community ranks first with a priority score of 1,828.39 and an estimated market size of 3–10 billion IDR/year, spanning newsletters, paid communities, basic ChatGPT courses, and AI tools affiliate revenue. AI Study Assistant & Edtech (priority 665.36) and AI Business Coaching & SME (priority 479.42, with the largest 8–25 billion IDR/year market) follow as the next-highest priorities.
How are students using ChatGPT in Indonesia?
Education & Academic accounted for 414 posts and 20,168 estimated organic interactions, making it the second-largest industry segment after General. Thesis writing and coursework are the dominant use cases, with top keywords including chatgpt skripsi, chatgpt tugas kuliah, chatgpt rangkuman, and prompt mahasiswa. The data points to AI study assistants, prompt courses for students, and thesis editing services as monetizable opportunities.
Is the ChatGPT conversation in Indonesia positive or negative?
It skews positive. Across the 2,043 posts, sentiment was 48% positive, 44% neutral, and only 8% negative, with an average sentiment score of 0.42. Skeptical or anti-ChatGPT posts were rare at just 4 posts, while pro-ChatGPT advocacy reached 135 posts.