How Delivery Apps Rank
Restaurants in Search.
If you have ever wondered why a competitor with worse food, fewer reviews, and higher prices consistently appears above you in delivery app search — this guide explains the algorithm behind it. More importantly, it identifies the one ranking factor that is entirely within your control.
The Delivery App Search Algorithm: What We Know
Delivery platforms do not publish their ranking algorithms. But from operator interviews, platform partner communications, and the behaviour of listings over time, a consistent picture emerges. Platforms rank restaurants using a combination of factors that fall into two categories: historical performance signals and listing quality signals.
Historical performance signals — your order volume, your rating score, your repeat customer rate, your acceptance rate and delivery speed — are the result of months or years of trading. You cannot significantly move these in a week.
Listing quality signals are different. These are assessed in real time, every time a customer search occurs, and they include one factor that a restaurant can change today: the quality and completeness of your menu photos.
The Five Ranking Factors (And Which One You Can Control)
1. Order Volume & Velocity
Low controlPlatforms favour restaurants that produce consistent, high order volumes. This compounds over time — high volume gets better placement, which drives more volume. New and recovering listings are at a structural disadvantage.
2. Rating Score & Review Recency
Low controlYour star rating and the recency of positive reviews influence ranking. Improving this requires operational changes and time — not something you can shift in days.
3. Acceptance Rate & Speed
Medium controlPlatforms penalise restaurants that frequently reject orders or deliver late. Operational, but requires staffing and kitchen flow changes.
4. Promotional Participation
Medium controlRestaurants running platform discounts (e.g. UberEats Offers, Deliveroo Plus) receive promotional placement. This costs real margin and is not sustainable long-term.
5. Listing Quality Score (Photo completeness + CTR)
Full controlPlatforms assign a quality score to your listing based on photo coverage, image quality, and the click-through rate your listing generates. A restaurant with professional photos on every item consistently outperforms one without — even at the same rating, price, and volume level. This is the only ranking factor you can improve this week.
How the Click-Through Rate Feedback Loop Works
The most important mechanism to understand is the CTR feedback loop. Here is how it compounds:
When a customer searches for a cuisine type, the platform shows them a set of results. Some restaurants get tapped; others get scrolled past. The platform records these interactions. Listings with higher tap rates — even from a cold start — signal to the algorithm that customers find them appealing. The algorithm responds by showing that listing to more customers. More customers means more orders. More orders reinforces the ranking signal. The listing rises.
The reverse is equally true and equally powerful. A listing that consistently gets scrolled past accumulates a poor CTR signal. The algorithm reduces its exposure. Reduced exposure means fewer opportunities to generate orders. The listing sinks — not because the food is bad, but because the photo failed to earn the tap.
The Compounding Disadvantage
A restaurant that never improves its photos does not stay in place — it gradually loses ground. As competitors upgrade their listings, their CTR improves, their rankings rise, and they occupy the search positions your listing previously held. The algorithm is not neutral. A static listing in an improving competitive landscape is effectively a declining listing.
The listing quality difference — drag to compare
Left: the listing that earns a scroll and a demotion. Right: the listing that earns a tap and a ranking uplift.
What "Listing Quality" Platforms Actually Measure
Based on platform published guidelines and operator experience, listing quality assessment includes:
- Photo coverage. What percentage of your menu items have a photo? Listings with 100% photo coverage receive higher base quality scores than incomplete menus.
- Photo resolution and brightness. Images below a detected brightness or sharpness threshold receive a quality flag that limits their display prominence.
- Background compliance. Photos with cluttered backgrounds, visible kitchen equipment, or multiple dishes are algorithmically downscored relative to clean single-subject images.
- Click-through rate (CTR). Calculated per listing as impressions ÷ taps. A listing that earns more taps per impression signals quality. This feeds directly into ranking position.
The Practical Implication
Of the five ranking factors, four require time, operational investment, or budget. The fifth — listing quality — requires one thing: a set of photos that pass the platform's quality threshold and earn the customer's tap.
The barrier to improving this factor is not equipment or skill. It is the physics of commercial kitchen lighting — the same mixed colour temperature that causes every smartphone to produce flat, cold, unappetising images of food that looks perfect to the human eye. Correcting these images after the fact is what Dishori Studio does, and it is the fastest way to move the one ranking factor you actually control.
Your first image is corrected free. No credit card required. You can assess the quality of the output before committing to anything.
Improve the factor you can control — today.
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