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systemsGo · 25+ years APAC

6 markets · Oct 2024 → present

SEO + GEO B2B IT Services APAC · 6 markets Multilingual

3 to 1,293.
Six markets, six languages.

How Kaliber made a Singapore-registered IT services firm visible to MNC buyers across Japan, India, Hong Kong, Singapore, South Korea, and Australia. By treating each country as its own SEO build, not a generic translation.

+43,000%

Keywords in top 20 (Google)

3 → 1,293 · Oct '24 → Feb '26

+233%

Monthly organic clicks

251 → 836 · 16 months

Markets with AI Overview citations

SG · KR · UK · confirmed

Scroll to read the case study

Where we started

25 years of operations.
Three keywords on Google.

Keywords ranking on Google at engagement start. For a 25-year-old IT firm with eight APAC offices, functionally invisible.

251

Monthly organic clicks, October 2024. The entire APAC organic footprint, across six target markets.

DR 12–26

Domain Rating range. Years behind incumbents like NTT and IBM. Conventional link-building wouldn't close the gap fast enough.

The category gap

No incumbent owns
the cross-language buyer.

systemsGo's customers aren't Singaporean. They're decision-makers in Tokyo, Delhi, Hong Kong, Seoul, Sydney, running APAC for US and European multinationals. When they search "IT support Japan" or "managed IT services Hong Kong", the answer is usually a local firm or a global player like NTT or IBM.

8 APAC offices

6+ target markets

3 active languages

The category was fragmented across languages and geographies. No dominant player answered MNC questions in English and Japanese simultaneously
The opportunity wasn't to rank globally. It was to rank in six specific markets, for specific buyer questions
That structural gap meant a smaller, focused player could outrank larger competitors. Country by country, question by question

The bet

Don't try to outrank NTT globally. Own the questions MNCs actually ask when they evaluate IT providers for APAC expansion, in the language they ask them in.

The challenge

Six markets.
Each one a separate build.

The conventional SEO playbook assumed one site, one language, one market. systemsGo had eight offices across six countries with three core languages. Treating it as one site would have failed the way most APAC SEO efforts fail, generic content, no local relevance, no rankings.

Domain authority deficit. DR 12–26 against incumbents with 10–20 years of established backlinks. Link-building alone would take years to bridge
Buyer questions vary by market. The Japan MNC question is "How do I support a foreign workforce in Japan?" The Hong Kong question is structurally different. And the Korean question different again
AI Overviews were unclaimed. Most APAC IT providers had not optimised for AI retrieval. The category was structurally available. But the window wouldn't last

Local language matters more than backlinks here. Japanese-language pages outranked English ones in Japan from month one, a signal incumbents had ignored.

AI engines don't care about domain age. They care about answer quality. systemsGo's expertise was deeper than its DR suggested, that asymmetry was the wedge.

Questions before keywords. "How to choose an IT provider for Japan?" pulls in the actual decision-maker. "IT services" pulls in everyone with a tangentially related search.

The approach

Country-by-country.
Question-by-question.

Two phases. Phase 1: foundation. Fix the technical SEO, restructure the architecture, set up tracking across every target market. Phase 2: build dedicated, market-specific country pages. Each answering the questions MNC decision-makers actually ask in that geography, in that language, in the structure AI engines retrieve from.

Phase 1. Fix the foundation (Oct 2024 → Jan 2025)

Technical SEO fixes, site architecture restructure, multi-market tracking. Without the foundation, no amount of content would rank. No publishing happened until the structural problems were solved.

Phase 2. Country pages, not generic pages

Dedicated landing pages per market, /singapore/, /hong-kong/, /delhi/, /taipei/, /seoul/, /sydney/, /ja/, /zh-hans/
Localised content where the buyer is. Not English content auto-translated to Japanese
Each country page answers the question a Tokyo CFO or a Hong Kong CIO actually types

Question-shaped content, not keyword-stuffed pages

"How to choose an IT provider for Japan?". Content built to be the answer
"IT staffing vs managed IT services". Comparative content the way buyers think
"AV system setup for business". Operational content for decision-makers, not generic explainers

Structured for AI Overview retrieval

Pages built so AI engines can extract clean answers. Heading structure, schema, entity richness
Result inside three months: AI Overview citations confirmed in three markets. Singapore, South Korea, UK
UK citation is a network integration article. Same content surfaced for queries Kaliber wasn't even targeting yet

Six markets, one system

Japan emerged as
the #1 market.

February 2026 snapshot. Country pages launched in Phase 2 generating clicks within the first month. Japanese-language pages drove consistently from the start.

🇯🇵

Japan

284

monthly clicks · avg position 11.9 · Japanese-language pages

🇮🇳

India

112

monthly clicks · 6,574 impressions · /delhi/

🇭🇰

Hong Kong

monthly clicks · /hong-kong/ · growing

🇸🇬

Singapore

monthly clicks · commercial pages still being built

🇨🇳 🇹🇼

China + Taiwan

monthly clicks combined · zh-hans + Traditional

🇰🇷

South Korea

monthly clicks · /seoul/ · AI Overview cited

🇸🇬

Singapore

Cited as "ideal AV system" recommendation

Google AI Overview · English-language SERP

🇰🇷

South Korea

Cited alongside Korean AV providers

Google AI Overview · Korean-language SERP

🇬🇧

United Kingdom

Network integration blog extracted & cited

Google AI Overview · spillover beyond target markets

The results

From three keywords
to twelve hundred and ninety-three.

Measured October 2024 → February 2026. All numbers from Ahrefs Site Explorer, Google Search Console, and Ahrefs Brand Radar.

Organic search. APAC-wide

Google · Top 20 Keywords
1,293Keywords ranking · Feb 2026
3 (Oct '24) → 1,293 · +43,000%

Google · Monthly Impressions
72,576Impressions · Feb 2026 (all-time high)
19,000 → 72,576 · +281%

Google · Monthly Clicks

836

Organic clicks · Feb 2026

251 → 836 · +233% in 16 months

Google · AI Overview Markets

Markets with confirmed AI citations

Singapore · South Korea · UK

Top-20 keyword growth · Oct 2024 → Feb 2026

Oct '24

Apr '25

152

Aug '25

414

Dec '25

837

Feb '26

1,293

Market-by-market. Feb 2026

284

🇯🇵 Japan · monthly clicks
Lead market · avg pos 11.9

112

🇮🇳 India · monthly clicks
6,574 impressions · growing

🇭🇰 Hong Kong · monthly clicks
/hong-kong/ landing page driving

What's still ahead

323

US "network integration"
monthly searches · next AI citation target

14.6 → 13.3

Avg ranking position
Jan '26 → Feb '26 · still improving

Feb '27

Engagement runway
continues until early 2027

Four reasons this worked

Transferable principles
for multi-market B2B SEO.

Not systemsGo-specific. The structural reasons a low-DR challenger outranked entrenched incumbents in specific markets. And why the same approach works for any B2B brand serving fragmented APAC categories.

Build country pages, not language toggles

A /ja/ page that answers Japanese MNC questions in Japanese outranked English content from larger competitors from month one. Treating each market as a separate SEO build means each market gets a fair shot, instead of one global site doing none of them justice.

Pick fragmented categories. Not consolidated ones

No incumbent owns "IT support for foreign companies in Japan" the way Stripe owns "payment gateway." Fragmented categories let smaller players win specific corners. Map the buyer questions, find the corners no-one is answering well, and own them first.

Foundation before content. Always.

Phase 1 was four months of technical fixes and architecture work, no publishing. The result: when content launched in Phase 2, every page ranked faster than it would have on a broken foundation. Skipping the foundation costs years of compounding.

AI Overview citations don't need DR. They need answer quality

systemsGo's DR was 12–26, well below incumbents. AI Overviews cited it anyway, in three markets, because the content was the best answer to the specific question. AI search rewards expertise and structure. Domain age is a Google ranking signal, not an AI retrieval signal.

[Quote pending. Yolanda Huang, systemsGo. Suggested angle: the Japan market breakthrough or "we started from nothing and now appear in AI answers."]

systemsGo · APAC

Services used

What we worked on.

GEO & AI Search → Multi-market technical SEO Country-page architecture Multilingual content production AI Overview optimisation AI citation tracking · Brand Radar

B2B GEO · Multi-Market

Are you visible
where MNC buyers actually search?

Most APAC B2B brands compete on price. Almost none compete on Google. The window for AI citation share is open, but it closes as incumbents catch up.

Get a free AI visibility audit

Google Premier Partner US$500M+ managed 90% from referral

3 to 1,293.Six markets, six languages.

25 years of operations.Three keywords on Google.

No incumbent ownsthe cross-language buyer.

Six markets.Each one a separate build.

Country-by-country.Question-by-question.

Japan emerged asthe #1 market.

From three keywordsto twelve hundred and ninety-three.

Transferable principlesfor multi-market B2B SEO.

What we worked on.

3 to 1,293.
Six markets, six languages.

25 years of operations.
Three keywords on Google.

No incumbent owns
the cross-language buyer.

Six markets.
Each one a separate build.

Country-by-country.
Question-by-question.

Japan emerged as
the #1 market.

From three keywords
to twelve hundred and ninety-three.

Transferable principles
for multi-market B2B SEO.