TL;DR. Same site, same page template, same schema — but a business-name search in Hanoi (a market we added recently) lands our page at position ~10 (bottom of page 1), while the identical kind of search in Bangkok (our oldest, most-indexed market) lands at position 49-81 (page 5-9, essentially invisible). Sample size is small — this is a pattern from a few dozen impressions, not a controlled study — but it’s real, it’s from our own Search Console data, and it’s worth writing down before we forget the caveats.

What we looked at

We pulled every Google Search Console query that showed an impression for getbooyah.com over the last 30 days (the 90-day window returned identical data — the site’s search history is that young). Most of the ~30 distinct queries are people searching for a specific business by name — not “best restaurant bangkok,” but the actual name of a place we happen to have indexed. That’s the cleanest kind of query to compare across cities: same intent shape (I know this place, I’m looking it up), same page template on our side, different market.

Two clusters fell out immediately:

QueryCityImpressionsAvg. position
"blank. wine bar & kitchen" hanoi (+ variants)Hanoi229.5-10.6
"k hair studio" hanoi nanoplastyHanoi710.7
mungkorn seafood (+ variants)Bangkok662-67
ministry of crab bangkokBangkok161
sri tratBangkok281.5
seafood buffet sukhumvitBangkok281
modern kitchen bangkokBangkok268

Every Hanoi business-name query we have data for sits at the bottom of page 1. Every Bangkok one sits five to nine pages deep — a rank a human searcher will basically never scroll to.

Why this probably isn’t noise

Bangkok is the oldest, largest, most-content-saturated market in our index — thousands of competing pages already exist for any given Bangkok restaurant (Google’s own listing, TripAdvisor, food blogs, the restaurant’s own site, years of accumulated backlinks). A brand-new page has to out-rank all of that. Hanoi has far less of that competing density in our current coverage — so the same freshly-indexed page, with no backlinks and no domain history in that market, doesn’t have nearly as much to out-rank.

That’s a fairly boring, well-understood SEO mechanic (less competition → easier to rank) — the interesting part is that we can see it happening inside one directory, one template, one crawl, rather than comparing across different sites. It’s the same experiment design as our AI-traffic post: instrument what we already run, report what the logs actually say.

Honest caveats

  • N is tiny. We’re talking about a handful of impressions per query, over one month, on a young site. This is a pattern, not a proof — treat it as a hypothesis worth tracking, not a settled finding.
  • 85% of our impressions are invisible to us. 421 of 494 total impressions in the same window are bucketed under Google’s (unknown) privacy redaction — the low-volume long tail Search Console won’t name. We’re reasoning from the 15% we can actually see.
  • Zero clicks across the board. Every query in this dataset, Hanoi and Bangkok alike, has 0 clicks. We’re comparing rank, not traffic or conversion — we don’t yet know whether that page-1 Hanoi position turns into an actual visitor.
  • It could be one page, not a market effect. With this few data points we can’t rule out that one specific Hanoi listing happens to have unusually little competition, rather than “Hanoi in general” being easier than “Bangkok in general.”

Why we’re writing it down anyway

We’re mid-expansion into more Southeast-Asian cities specifically because the region is underserved by structured, AI-readable local data. If newer markets really do rank faster with less effort, that’s a real argument for the expansion strategy already underway — not because we proved it here, but because it’s the kind of signal worth watching as more cities’ data matures. We’ll revisit this with a bigger window once there’s more than a month of history to look at.

Built on the Booyah Index — a live, open MCP + REST directory of 3,500+ Southeast-Asian local businesses across 14 cities. If you’ve seen the same new-market-ranks-easier pattern (or the opposite) in your own Search Console data, we’d like to compare notes: contact us.