How a Leading Maternal Nutrition Brand Came to Own AI Search in Indonesia
AI Overviews and answer engines like ChatGPT, Perplexity, and Gemini are rewriting how people find health information. For most publishers, that shift has meant fewer clicks and shrinking visibility. One of Indonesia's leading maternal nutrition brands went the other way. Over twelve months, its footprint in AI search grew 3.7x, reaching an all-time high of 15,672 AI Overview keywords in April 2026, more than double its nearest competitor.
The shift: AI is repricing search, and most brands are losing
Generative engines now answer many of the high-intent questions that brands once captured through traditional rankings. When an AI Overview resolves a query inside the results page, the underlying website often loses the click, even when it ranks well. Across the Indonesian maternal-health category, keyword visibility contracted by roughly 9% as this repricing took hold.
The strategic response was not to fight the AI summary, but to become the source it quotes. If an engine is going to answer the question, the goal is for the brand to be the name it cites, with attribution that sends qualified readers onward. That reframing shaped everything that followed.
The results
By April 2026, the program delivered category-leading outcomes in AI search:
15,672 AI Overview keywords, an all-time high, up 14.4% month over month.
3.7x growth in twelve months, from 4,190 in March 2025, a 274% increase, achieved while the wider category shrank.
More than 2x the AI Overview visibility of the nearest competitor, and roughly twice all major rivals combined.
The lead cited answer on high-intent product queries. For "susu ibu hamil untuk mual" (pregnancy milk for nausea), the brand's anti-nausea product is the one engines surface first.
The brand also proved resilient through seasonality, holding above 13,700 AI Overview keywords for three straight months during the Ramadan and Lebaran period before breaking its own record in April. Underneath the AI numbers sits a healthy traffic base: 617,686 organic clicks, 48.1 million impressions, and 495,610 unique users in a single month.
How we did it: a repeatable GEO system
Generative Engine Optimization (GEO) is not a single tactic. The results came from a system with three compounding parts, each designed to make the brand the easiest name for an AI engine to trust and quote.
1. Measure what AI actually does
You cannot improve what you do not track. We stood up an AI-citation tracking layer: a 50-prompt audit run every two weeks across four engines (Google AI Overviews, ChatGPT, Perplexity, and Gemini), paired with a Semrush AI Overviews monitor. Crucially, we measure whether the brand is named in the answer, not just whether a page ranks. That distinction is the heart of GEO, and it is invisible to traditional rank tracking.
2. Earn citations with structured, expert-verified content
AI engines lean on signals they can parse and verify. We deployed a schema pack engineered for machine reading, including Product, MedicalSymptom, reviewedBy, NutritionInformation, FAQ, and Speakable markup. We paired it with visible medical-reviewer attribution and dedicated reviewer profile pages, satisfying the strict E-E-A-T standards that apply to YMYL (Your Money or Your Life) health content. The result is clinical articles that engines can confidently attribute to a named, credentialed source.
3. Defend with AI-extractable answers
Finally, we made the content easy to lift. Priority articles open with concise, entity-rich Quick Answer blocks of 60 to 80 words, written as definitive, source-cited statements. These are formatted to drop cleanly into an AI summary with the brand as the attributed source. The same blocks improve traditional click-through, so the work compounds across both classic search and AI answers.
The moat: medical trust signals AI can verify
The most durable advantage is one competitors have left open. AI engines reward demonstrable medical trust, and in Indonesian maternal health, this brand is the one that consistently publishes medically reviewed content with named specialists and structured medical data. Its closest rivals reserve doctor review for child-nutrition content and leave the pregnancy and breastfeeding segment largely unverified. So when an engine looks for a trustworthy maternal source to cite, this brand is the safe choice. That gap is hard to close quickly, and it compounds every month.
From AI visibility to business impact
Owning the answer only matters if it moves the business. As AI and search visibility grew, so did the depth of engagement. In April 2026, product page visits rose 25% month over month, smart-tool usage (birth and fertility calculators) climbed 28%, and internal link clicks increased 21%. Informational discovery was converting into product consideration, the part of the funnel that ultimately drives revenue.
What this means for your brand
The next phase of search will reward the brands that AI chooses to quote. Getting there is not about chasing every algorithm update; it is about building measurable authority: tracking AI citations, structuring content so engines can verify it, and writing answers designed to be cited. This playbook is specific in its details, but the system behind it is repeatable, whether you sell nutrition, finance, software, or anything in between.
Want the complete picture, including the brand name? The full case study reveals the brand and includes the month-by-month data, the GEO methodology in detail, the competitive breakdown, and the 90-day acceleration roadmap. Request the case study bellow.
Case study by search.agency (PT Optimasi Mesin Pencari). Figures from the brand's monthly performance reports, January to April 2026. AI Overview keyword counts via Semrush; organic metrics via Google Search Console and GA4; AI-citation observations from a bi-weekly 50-prompt audit across Google AI Overviews, ChatGPT, Perplexity, and Gemini. The brand name is disclosed in the downloadable case study.
