Category Guide
App Store Optimization for Food & Drink Apps: Strategy Guide
ASO strategy guide for food and drink apps. Keyword research for recipe, delivery, and restaurant apps with local SEO and seasonal trends.
The Food & Drink Category Landscape
Food & Drink apps serve one of humanity's most fundamental needs, eating, through recipe discovery, meal planning, food delivery, restaurant finding, nutritional tracking, and cooking guidance. The category divides into content apps (recipes, cooking videos) and service apps (delivery, restaurant booking), each with distinct keyword strategies and competitive dynamics.
For independent developers, the openings are in recipe and cooking apps, meal planners, and specialty dietary tools: a fragmented market where each diet and cooking style is a niche of its own.
Keyword Patterns in Food & Drink
Content vs. Service Keywords
The category splits into searches for a service and searches for content or a tool:
- Delivery and takeout: "food delivery," "takeout"
- Restaurants: "restaurants"
- Recipes and planning: "recipes," "cooking," "meal plan," "meal prep"
- Diet-specific: "keto recipes," "vegan recipes," "gluten free"
- Appliance recipes: "air fryer recipes," "slow cooker recipes," "pressure cooker recipes"
Delivery and restaurant searches lead to the big services; recipes, diets and appliances are where an independent app competes. The table below measures both sides.
24 food and drink keywords, measured in the US App Store
Measured by RespectASO on 6 October 2026. Popularity is RespectASO's estimate of how often a keyword is searched compared with others, from 1 to 100. Difficulty, from 1 to 100, says how hard the apps already on top are to pass. "In top 10 names" counts the top ten apps with the keyword in their name. How the numbers work.
| Keyword | Popularity | Difficulty | In top 10 names |
|---|---|---|---|
| Head terms | |||
| recipes | 65 | 76 Very Hard | 5 of 10 |
| cooking | 69 | 84 Very Hard | 10 of 10 |
| food delivery | 79 | 87 Very Hard | 5 of 10 |
| meal plan | 59 | 72 Hard | 6 of 10 |
| takeout | 77 | 72 Hard | 1 of 10 |
| restaurants | 56 | 64 Hard | 0 of 10 |
| Features and sub-genres | |||
| keto recipes | 48 | 58 Hard | 6 of 10 |
| vegan recipes | 32 | 40 Moderate | 5 of 10 |
| gluten free | 46 | 43 Moderate | 4 of 10 |
| meal prep | 50 | 65 Hard | 3 of 10 |
| air fryer recipes | 29 | 30 Easy | 6 of 10 |
| slow cooker recipes | 42 | 47 Moderate | 4 of 10 |
| Audiences and uses | |||
| low carb | 54 | 58 Hard | 5 of 10 |
| dairy free | 49 | 37 Moderate | 2 of 10 |
| paleo | 42 | 38 Moderate | 8 of 10 |
| dessert | 66 | 68 Hard | 5 of 10 |
| smoothie | 47 | 43 Moderate | 8 of 10 |
| barbecue | 55 | 47 Moderate | 2 of 10 |
| Long-tail phrases | |||
| keto recipes and meal plans | 29 | 34 Easy | 0 of 10 |
| cocktail recipes and bartender guide | 20 | 17 Easy | 0 of 10 |
| easy dinner recipes | 41 | 34 Easy | 1 of 10 |
| healthy meal prep ideas | 35 | 50 Moderate | 0 of 10 |
| pressure cooker recipes | 45 | 39 Moderate | 1 of 10 |
| quick breakfast ideas | 39 | 30 Easy | 0 of 10 |
Difficulty here runs from 17 for "cocktail recipes and bartender guide" to 87 for "food delivery". 5 of the 24 keywords score 70 or more, and 1 score under 30. The long-tail phrases have a median difficulty of 34, against 74 for the head terms. The highest popularity among keywords under difficulty 50 belongs to "barbecue": 55, at difficulty 47.
To see what these keywords would bring your own app, and to measure them in any of the 175 storefronts, run them in RespectASO, free on your Mac.
Dietary Niche Keywords
Dietary preferences create clear keyword niches. "Keto," "vegan," "paleo," "low carb," "dairy free," "meal prep": each diet has a dedicated user base that searches specifically for apps serving their dietary needs. Compare their popularity and difficulty in the table, and check in RespectASO which are Sweet Spots for your app.
Seasonal and Cultural Keywords
Food keywords have strong seasonal patterns: "thanksgiving recipes" in November (US), "barbecue" in summer, "soup recipes" in winter, "cocktail" around holidays. Cultural food events create market-specific spikes that can be captured through localized keyword strategies.
Metadata Optimization for Food & Drink Apps
Specify Your Niche
"Recipes" alone describes every recipe app on the store. Your subtitle should clarify your focus: "Keto Recipes & Meal Plans" or "Cocktail Recipes & Bartender Guide." Specificity increases relevance: someone searching for "keto recipes" is looking for an app that says keto.
Ingredient and Technique Keywords
Use the keyword field for food-specific terms that combine with your title: ingredient types ("chicken," "pasta," "smoothie"), cooking methods ("slow cooker," "air fryer," "pressure cooker"), and meal types ("breakfast," "dinner," "snack," "dessert"). The search algorithm combines these with your title/subtitle words to match detailed queries.
Common ASO Mistakes in Food & Drink
- Fighting delivery giants: Don't target "food delivery" keywords unless you're a delivery service. Focus on the content and tool side of food: recipes, meal planning, nutrition tracking, cooking guidance.
- Unappetizing screenshots: Screenshots for food apps must look delicious. Show beautifully photographed food alongside your app's interface. The visual quality of food images shapes your conversion.
- Ignoring appliance keywords: "Air fryer recipes," "slow cooker recipes" and "pressure cooker recipes" each have a devoted audience; see how they measure in the table.
- Not updating seasonally: Food is inherently seasonal. Rotating keyword emphasis by season (grilling in summer, baking in winter, holiday recipes in December) captures predictable search spikes.
Competitor Landscape
Recipe apps like Allrecipes, Tasty, and Yummly have broad coverage, but they're general-purpose. Specialty diet apps, regional cuisine apps, and cooking technique tools are markets of their own. Competitor analysis should identify which specific food niches the major recipe platforms don't serve well. That's where keyword opportunities concentrate.
International Opportunity
Food preferences are deeply cultural, making this an ideal category for international expansion. Recipe keywords in Brazil (Brazilian cuisine), India (vegetarian recipes), Japan (Japanese cooking), and Mexico (traditional recipes) each have their own cooking vocabulary. The Country Opportunity Finder shows how your food keywords score for your app in each market, so you can see which to localize for first.
How RespectASO Helps
Food & Drink apps benefit from evaluating dietary, ingredient, technique, and meal-type keywords simultaneously. Use Multi-Keyword Search to score your food keywords together across your target markets, identify which terms have the best opportunity scores, and allocate your 160-character metadata budget to maximize coverage of your specific food niche.

Keyword research in RespectASO: a score and a tag for every keyword
Optimize Your Food & Drink App
Use RespectASO to research keywords and build a data-driven ASO strategy for Food & Drink apps.