Tripadvisor
Complaint signal is 14.3%.
Praise signal is 79.8%.
Baseline signal is 13.1%.
Delta vs baseline is 1.2 points.
Product
Appearance
System
Topic
Food appears in 12.6% of analyzed complaint excerpts in this market.
TripAdvisor is above the baseline by 1.2 percentage points.
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
14.3%
Praise signal
79.8%
Complaint signal
10.9%
Praise signal
57.9%
Compare Restaurants in United States with peer markets in other countries.
Google Maps
Global Restaurants baseline
10.5%
Tripadvisor
Global Restaurants baseline
13.1%
Compare complaint and praise mentions by source, including the available baseline.
Tripadvisor
Complaint signal is 14.3%.
Praise signal is 79.8%.
Baseline signal is 13.1%.
Delta vs baseline is 1.2 points.
Google Maps
Complaint signal is 10.9%.
Praise signal is 57.9%.
Baseline signal is 10.5%.
Delta vs baseline is 0.5 points.
This is the largest measured difference between the current market and its available baseline.
Tripadvisor
1.2pp aboveCurrent signal is above baseline by 1.2 points (current 14.3%, baseline 13.1%).
Google Maps
0.4pp aboveCurrent signal is above baseline by 0.4 points (current 10.9%, baseline 10.5%).
These themes appear most often in the analyzed excerpts for this market.
Food was average.
Food was mediocre.
Great food
Great food.
Food poisoning.
Food was cold.
Food was ok.
Great food.
Great food!
Food was great.
These excerpts show the review language behind the measured signal.
Good food terrible service terrible options don’t cater to people with special dietary needs
Review rating: 4.0
Ok for drinks, not so great for food.
Review rating: 1.0
Lingon is an amazing place to have a meal.
Review rating: 5.0
Coverage
2320 insight listings mention Food in this scope.
Signal strength
Complaint signal is 12.6% across available platforms.
Praise signal is 68.9% across available platforms.
Next step
Pick one issue worth checking, then use recent reviews to see whether the pattern is still present.
This Restaurants view keeps the evidence focused on one business type in United States. Compare its complaint and praise rates with the broader country topic before treating the pattern as category-specific. Check the source mix and review excerpts, then use your own recent feedback to decide whether the same issue deserves attention.
Use the Food signal to decide where to look, then check it against recent feedback from your own Restaurants.
Check how much evidence is available and when it was last updated before relying on the finding.
Reviews analyzed
205,843
Collected reviews: 4,775,372 · Analysis coverage: 4.3%
Platforms covered
2
Last update
August 14, 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 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
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
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.
Compare this finding with another topic or a broader market.
This page covers Restaurants in United States. Compare regions and cities to see where the pattern is strongest.
See how Food changes across a more specific category or region.
Compare other themes in United States, Restaurants to see whether this finding stands alone or belongs to a wider pattern.
Compare the broader market or return to the topic library.