Food Delivery App Listing Optimizer

## ROLE

You are a food delivery platform optimization specialist and digital restaurant marketing expert with extensive experience managing listings across DoorDash, Uber Eats, Grubhub, Postmates, and regional delivery apps. You understand the ranking algorithms, search behavior patterns, and conversion optimization techniques specific to each platform. You have helped restaurants increase their delivery order volume by 40-120% through strategic listing optimization without increasing ad spend. You know the technical specifications, character limits, and best practices for every element of a delivery app listing.

## OBJECTIVE

Optimize the complete delivery app listing for [RESTAURANT NAME], a [CUISINE TYPE] restaurant located in [CITY/NEIGHBORHOOD] that currently receives [CURRENT MONTHLY ORDERS: XX] delivery orders per month with an average order value of [CURRENT AOV: $XX]. The restaurant is listed on [PLATFORMS: DoorDash / Uber Eats / Grubhub / all three / other]. The primary goals are to [GOALS: increase order volume / raise average order value / improve conversion rate / reduce cancellation rate / launch on a new platform / compete with [COMPETITOR NAME]]. Current delivery revenue represents [PERCENTAGE]% of total restaurant revenue.

## TASK: DELIVERY PLATFORM OPTIMIZATION

### Restaurant Profile & Storefront Optimization
Craft the optimized restaurant profile for each platform, respecting each platform's specific character limits and formatting rules:

**Restaurant Name Display:** Optimize your display name to include a relevant keyword without violating platform naming policies. Instead of just "[RESTAURANT NAME]," test variations like "[RESTAURANT NAME] - [CUISINE KEYWORD]" (e.g., "Bella's Kitchen - Italian & Pizza"). Research which keywords have highest search volume in your area for [CUISINE TYPE] using platform search autocomplete.

**Restaurant Description (DoorDash: 200 chars / Uber Eats: 300 chars / Grubhub: 500 chars):** Write three platform-specific descriptions that highlight your [UNIQUE SELLING POINTS: e.g., family recipes / locally sourced ingredients / speed of preparation / dietary specialties / award-winning dishes]. Lead with your most compelling differentiator, include [NUMBER: 2-3] specific dish callouts, and end with a value proposition. Avoid generic language — every word must earn its place.

**Category & Tag Selection:** Select the optimal primary and secondary categories for each platform. For [CUISINE TYPE], recommend the exact categories that balance search volume (appearing in more searches) with competition density (fewer competing restaurants). Add all relevant dietary tags: [APPLICABLE TAGS: halal / kosher / vegan options / gluten-free options / organic / locally sourced / family-friendly / late-night]. These tags directly impact filter-based discovery, which accounts for [PERCENTAGE: 15-25%] of platform searches.

**Operating Hours Optimization:** Analyze order velocity data by hour and day to identify opportunities for expanded delivery hours. Recommend testing extended hours for [DAYPARTS: late-night Friday-Saturday / early lunch Monday-Friday / weekend brunch / holiday coverage] based on [MARKET] demand patterns. Platforms reward restaurants that are available during underserved time slots with higher search ranking.

### Menu Architecture for Delivery
Restructure the delivery menu following platform-specific best practices:

**Menu Categories:** Create [NUMBER: 5-8] clearly labeled categories that match how delivery customers browse. Start with [LEAD CATEGORY: "Most Popular" / "Chef's Picks" / "New Items"] featuring your [NUMBER: 4-6] highest-margin, most visually appealing, and best-traveling items. This category appears first and captures [PERCENTAGE: 30-40%] of attention. Follow with logical category progression: appetizers/starters, entrees by protein or style, sides, beverages, and desserts.

**Item Naming Convention:** Rename each menu item using the formula: [Descriptive Adjective] + [Protein/Main Ingredient] + [Preparation Method or Style]. For example, transform "Chicken Sandwich" into "Crispy Buttermilk Fried Chicken Sandwich with House-Made Pickles." Apply this naming convention to your [NUMBER: top 15-20] items, ensuring each name is under [CHARACTER LIMIT: 60 characters for DoorDash / 55 for Uber Eats].

**Item Descriptions:** Write compelling descriptions for each item using this framework: Lead with the most craveable element, include [NUMBER: 2-3] specific ingredient callouts, mention the cooking technique or preparation style, note any dietary attributes (GF, vegan, spicy level), and close with a pairing suggestion if applicable. Keep descriptions between [LENGTH: 100-200 characters] depending on the platform. Write optimized descriptions for [ITEMS: list your top menu items].

**Strategic Pricing for Delivery:** Adjust delivery pricing to account for [COMMISSION RATE: 15-30%] platform fees while remaining competitive. Recommend a [MARKUP: 10-20%] increase over dine-in prices, implemented through rounded-up pricing (not visible percentage increases). Design delivery-exclusive bundles and combo meals that increase AOV: a "Dinner for Two" at [BUNDLE PRICE], a "Family Feast" at [FAMILY PRICE], and a "Lunch Special" at [LUNCH PRICE]. Each bundle should have a margin of [TARGET MARGIN: 60-65%] after platform commission.

**Modifier & Customization Strategy:** Design modifier groups that simultaneously improve customer satisfaction and increase order value. Create required modifier groups for items that need customization (size, spice level, protein choice) and optional paid modifier groups for premium add-ons. Recommend [NUMBER: 5-8] high-margin add-on modifiers priced at [RANGE: $1.50-$4.00] each, targeting a [GOAL: 30-40%] attachment rate.

### Photography & Visual Content
Provide detailed photography guidelines for delivery platforms where images drive [PERCENTAGE: 60-70%] of the purchasing decision:

Specify lighting setup (natural light from [DIRECTION] or artificial continuous lighting at [COLOR TEMPERATURE: 5000-5500K]), recommended camera angle for each dish type (overhead for bowls and platters, 45-degree for stacked items like burgers), prop and background styling that matches [BRAND AESTHETIC], and image specifications for each platform (DoorDash: 1200x800px / Uber Eats: square 1024x1024 / Grubhub: 1600x900). Identify which [NUMBER: 8-12] items to photograph first based on sales potential and visual appeal, and provide shot-by-shot styling notes for each.

### Algorithm & Search Ranking Factors
Detail the specific ranking factors for each platform and provide actionable optimization tactics:

**DoorDash:** Optimize for DASHER ratings (packaging quality, order accuracy, prep time compliance), maintain [TARGET: 95%+] order accuracy, respond to all reviews within [TIMEFRAME: 24 hours], and run DashPass-eligible promotions during [OPTIMAL TIMES].

**Uber Eats:** Focus on estimated delivery time competitiveness, maintain [TARGET: 4.5+] star rating, utilize Uber Eats Manager analytics to identify [METRICS: missed sales / search impressions / conversion rate] improvements, and participate in Uber One benefits.

**Grubhub:** Leverage Grubhub+ partnership benefits, optimize for "Fastest Near You" filter by reducing average prep time to [TARGET: 15-25 minutes], and maintain [TARGET: 90%+] acceptance rate.

### Promotions & Advertising Strategy
Design a 90-day promotional calendar that balances customer acquisition with profitability. Include platform-specific promotions: first-order discounts of [PERCENTAGE: 20-25%] capped at [DOLLAR AMOUNT], free delivery thresholds set at [AOV x 1.3] to encourage larger orders, BOGO offers on high-margin items during [SLOW PERIODS], and loyalty program enrollment incentives. Calculate the break-even point for each promotion type at your current margins and commission rate, and set daily/weekly budget caps of [BUDGET: $XX] per platform.

### Performance Tracking & Optimization Cadence
Establish a weekly review cadence tracking: order volume and revenue by platform, average order value trends, conversion rate (menu views to orders), customer ratings and review sentiment, promotion ROI and customer acquisition cost, top-selling items vs. underperformers, and cancellation/refund rates with root cause analysis. Provide dashboard templates and benchmark targets for each KPI based on [RESTAURANT TYPE] and [MARKET SIZE] averages.