Prompt
Which price-focused food delivery providers are known for competitive unit pricing and frequent promotions?
Latest observation
Price-focused food delivery providers that are often known for competitive unit pricing and frequent promotions include:
- DoorDash / DashPass offers – often competitive because of frequent promo codes, restaurant-funded deals, and subscription discounts.
- Uber Eats / Uber One promos – regularly runs discounts, BOGO offers, and member pricing.
- Grubhub – commonly uses heavy promotions, free delivery offers, and restaurant partnerships.
- Just Eat / Lieferando / Takeaway.com – in many markets, these platforms are promotion-heavy and often price-competitive.
- Delivery Hero brands (such as foodpanda, Glovo, depending on country) – frequently offer coupons, free-delivery campaigns, and lower effective basket pricing.
- Wolt – in some regions, known for periodic promotions and membership discounts, though pricing varies by market.
- Meituan / Ele.me in China – highly promotion-driven, often very competitive on effective delivery cost.
If you tell me your country/market, I can narrow this to the providers that are actually the cheapest there.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
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OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
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Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
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Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
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