When data scraping
becomes market share.

What we did: Scraped "payroll software thailand", "ระบบเงินเดือน", "hr software bangkok" + 1,400 long-tail variants across 90 days. Identified 47 questions on Pantip with no good English-language answer ranking — a gap our scraper flagged before any competitor.

Output: 38 in-depth articles (TH/EN bilingual), 6 calculator tools (free lead magnets), structured FAQ schema on every page, internal linking graph optimized for topic-cluster authority transfer.

Why it worked: The data told us the highest-intent searches were not the obvious ones. "How to calculate provident fund Thailand" outranked "best payroll software" by 8x in conversion rate. Without the scraping pipeline, we'd have wasted 4 months on the wrong keywords.

What we did: Scraped product reviews from Shopee, Lazada, Pantip beauty boards, and Thai TikTok comments — 22,000+ data points cleaned and entity-extracted. Identified the 14 specific ingredient claims and use-cases consumers cared about (versus the 60 the brand was leading with).

Output: Restructured 90 product pages around ingredient-led answer blocks. Built 24 long-form ingredient guides with proper FAQPage schema, citations to PubMed studies, and TH-language semantic markers AI assistants weight heavily.

Why it worked: AI answer engines reward specificity + authority + structure. We gave them all three. Within 4 months, ChatGPT cited the brand by name when asked "best niacinamide serum thailand" — a query our scraper showed had grown 380% YoY but had zero strong Thai content answering it.

What we did: Scraped 6 competitor sites for content gaps via sitemap + entity extraction. Pulled 4 years of Bank of Thailand regulatory updates and matched them against rising long-tail searches. Found 280 questions consumers were asking that no competitor was answering at all.

Output: Topic cluster of 64 articles, all reviewed by an external Thai compliance lawyer (we paid for that, separately). Programmatic schema on every comparison page. Internal link graph engineered to transfer authority from core-product pages to long-tail informational pages.

Why it worked: Compound returns. Once 12 anchor pages ranked, the entire cluster lifted. Month 7 onward, organic application volume exceeded paid for the first time. By month 12, paid was paused entirely and growth continued.

What we did: Scraped TripAdvisor reviews, Google Maps Q&A, Reddit r/Thailand travel threads. Identified the 18 micro-intents travelers had (e.g. "hotels near MRT for 60+ travelers Bangkok") that no hotel was speaking to directly.

Output: 14 travel guide articles in TH/EN, hreflang properly configured, schema for Hotel, Place, FAQPage, BreadcrumbList. Programmatic location-pages for each property tied to nearby attractions and transit.

Why it worked: OTAs win generic queries. We won the specific ones — and those convert 3-4x better.