Tripadvisor
Complaint signal is 13.1%.
Praise signal is 80.6%.
Product
Appearance
System
Topic
Food appears in 11.5% of analyzed complaint excerpts in this market.
Share of complaint snippets where this topic appears by platform.
This metric tracks topic presence in complaint snippets, not positive versus negative sentiment split.
Balance is praise minus complaint for this topic on the same platform.
Complaint signal
10.0%
Praise signal
58.4%
Complaint signal
13.1%
Praise signal
80.6%
Compare this country-level view with global cross-category patterns.
Compare complaint and praise mentions by source, including the available baseline.
Tripadvisor
Complaint signal is 13.1%.
Praise signal is 80.6%.
Google Maps
Complaint signal is 10.0%.
Praise signal is 58.4%.
This is the largest measured difference between the current market and its available baseline.
Not enough comparison data is available for interpretation in this scope.
These themes appear most often in the analyzed excerpts for this market.
Food was mediocre.
Great food.
Great food!
Good food.
Great food
Great food.
Great food and service
These excerpts show the review language behind the measured signal.
Food was disgusting very salty and not appetizing looking at all.
Review rating: 1.0
Peruvian food in Miami and as a Peruvian this ceviche was fantastic!
Review rating: 5.0
The food was cold, and raw, and we got no water
Review rating: 1.0
Coverage
4571 insight listings mention Food in this scope.
Signal strength
Complaint signal is 11.5% across available platforms.
Praise signal is 69.5% across available platforms.
Next step
Pick one issue worth checking, then use recent reviews to see whether the pattern is still present.
Use the global view as a baseline, then narrow the analysis to a country, region, or city.
Use the Food signal to decide where to look, then check it against recent feedback from your own local businesses.
Check how much evidence is available and when it was last updated before relying on the finding.
Reviews analyzed
405,974
Platforms covered
2
Last update
August 25, 2026
Open the source reports behind this topic to check the platform metrics and surrounding analysis.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for Seattle restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsLocation appears in the TripAdvisor review sample for Seattle restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for Vancouver restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsNoise appears in the TripAdvisor review sample for Vancouver restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for New York restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsNoise appears in the TripAdvisor review sample for New York restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for Dallas restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsNoise appears in the TripAdvisor review sample for Dallas restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for Toronto restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsCleanliness appears in the TripAdvisor review sample for Toronto restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsValue appears in the Google Maps review sample for Montreal restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsLocation appears in the TripAdvisor review sample for Montreal restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for Porto restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsLocation appears in the TripAdvisor review sample for Porto restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsNoise appears in the Google Maps review sample for Boston restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsNoise appears in the TripAdvisor review sample for Boston restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsNoise appears in the Google Maps review sample for Las Vegas restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsAtmosphere appears in the TripAdvisor review sample for Las Vegas restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for Buffalo restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsNoise appears in the TripAdvisor review sample for Buffalo restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsAtmosphere appears in the Google Maps review sample for Edinburgh restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsValue appears in the TripAdvisor review sample for Edinburgh restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for San Francisco restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsLocation appears in the TripAdvisor review sample for San Francisco restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for Orlando restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsValue appears in the TripAdvisor review sample for Orlando restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsNoise appears in the Google Maps review sample for Chicago restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsAtmosphere appears in the TripAdvisor review sample for Chicago restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for Miami restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsCleanliness appears in the TripAdvisor review sample for Miami restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for Kansas City restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsLocation appears in the TripAdvisor review sample for Kansas City restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsAtmosphere appears in the Google Maps review sample for Philadelphia restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsLocation appears in the TripAdvisor review sample for Philadelphia restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsNoise appears in the Google Maps review sample for Los Angeles restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsAtmosphere appears in the TripAdvisor review sample for Los Angeles restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for Atlanta restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsNoise appears in the TripAdvisor review sample for Atlanta restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for Houston restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsNoise appears in the TripAdvisor review sample for Houston restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for London restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsLocation appears in the TripAdvisor review sample for London restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
RestaurantsCleanliness appears in the Google Maps review sample for Dublin restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
RestaurantsLocation appears in the TripAdvisor review sample for Dublin restaurants. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
BarsAtmosphere appears in the Google Maps review sample for Miami bars. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
BarsCleanliness appears in the TripAdvisor review sample for Miami bars. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
CafesNoise appears in the Google Maps review sample for New York cafes. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
CafesValue appears in the TripAdvisor review sample for New York cafes. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Google Maps
BarsCleanliness appears in the Google Maps review sample for New York bars. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
TripAdvisor
BarsCleanliness appears in the TripAdvisor review sample for New York bars. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Compare this finding with another topic or a broader market.
Start with the full dataset, then narrow the view by country, region, and category.
See how Food differs from one country to another.
Compare other themes in Global scope to see whether this finding stands alone or belongs to a wider pattern.
Compare the broader market or return to the topic library.