TikTok food discovery isn't global — it's 10 people per city
Everyone talks about "the algorithm" deciding which restaurants blow up. Our data says something narrower and stranger: in any given city, a handful of named humans decide.
GeoTok users save TikTok and Instagram food videos to a map. That produces something no one else has — a record of which creator's video sent a real person to a real restaurant, at scale. This is what 846 of those videos look like when you count them.
Method, and what this is not
- Corpus: 1,303 venues mapped from user-saved social video, of which 1,150 are food venues (bars, restaurants, cafés, bakeries — attractions and landmarks excluded).
- Creator attribution: 846 of those videos carry an identifiable creator handle, spread across 153 distinct creators.
- What this is not: a census of TikTok. It is a census of what GeoTok's users chose to save, which skews toward the cities they travel in and the creators they already follow. Sample sizes vary a lot by city, and small cities are noise — we flag them below rather than dressing them up.
Finding 1 — half of all creators appear exactly once
Of 153 creators, 76 appear a single time. The median creator accounts for 2 videos. The distribution is a hard power law:
| Creators | Share of all mapped videos |
|---|---|
| Top 1 | 9% |
| Top 5 | 27% |
| Top 10 | 42% |
| Top 25 | 69% |
Ten accounts out of 153 drive nearly half the map. That is not "the algorithm surfacing the best food" — that is a small number of prolific people whose output happens to be saveable.
Finding 2 — the concentration is per city, and it's more extreme
This is the part we didn't expect. Aggregate concentration is a power law; city-level concentration is closer to a monopoly.
| City | Videos mapped | Leading creator | Their share |
|---|---|---|---|
| Paris | 116 | @parisfoodguide | 66% |
| Barcelona | 113 | @foodies.bcn.mad | 15% |
| London | 78 | @aton_of_food | 31% |
| New York | 38 | @imnickmayorga | 32% |
| Los Angeles | 36 | @nate_eatz | 47% |
Every creator column links to that creator's own map on GeoTok — the underlying per-venue evidence for their share of the city, not a summary of it.
Two-thirds of every Paris restaurant in our corpus traces back to one account. In Los Angeles it's nearly half. Barcelona is the outlier in the other direction — a genuinely competitive market with no dominant voice.
Smaller cities show even higher concentration (Leeds is 19/19 from a single creator), but at those sample sizes that reflects one enthusiastic user's saving habits, not a real market structure. We're not counting those as a finding.
Finding 3 — virality doesn't repeat
The most-shared single venue in the entire corpus is Konoba Scala Santa in Kotor, Montenegro, with 7 videos mapped to it — rated 4.4/5 across 981 reviews. After that the tail collapses immediately: Quimet & Quimet in Barcelona (4.5/5, 2,173 reviews) and a small cluster at 2 videos each, including L'Antica Pizzeria da Michele in Naples (4.1/5, 22,600 reviews) and Brigit Bakery in London (4.5/5, 4,048 reviews, known for afternoon tea).
The implication for restaurants: a TikTok hit is almost never a second TikTok hit. Nearly every venue in the corpus was mapped from exactly one video. Whatever "going viral on TikTok" does for a restaurant, it is a single event, not a channel.
What this means if you run a restaurant
You are not optimising for an algorithm. You are optimising for the five to ten people in your city who make food video consistently — and in most cities that list is short enough to write on a napkin. Barcelona is the exception where breadth matters.
What this means if you're a creator
Your city position is worth more than your follower count. @parisfoodguide is functionally the index for Paris food TikTok inside our corpus. That's a defensible position no follower count alone confers.
Data: GeoTok, collected to 17 August 2026. 1,150 food venues and 846 creator-attributed videos saved by users from TikTok and Instagram, cross-verified against TripAdvisor ratings and review counts. City-level figures are given only where the sample exceeds 30 videos. Happy to share the underlying per-city breakdown with anyone writing about this — aleks@geotok.co.