Zipline wins on ChatGPT.
Not Manna.
25-query audit across ChatGPT, Gemini & Claude. Manna is cited on 18 of 75 responses (24%). When buyers ask AI about drone delivery, Zipline and Wing own the conversation — Manna appears only when the question specifically targets unit economics or European operators.
This report was generated using Xtrusio, an AI visibility and demand intelligence platform that analyzes how companies appear across modern AI systems such as ChatGPT, Gemini, Claude, Perplexity, and other generative engines.
The insights in this page are generated using Xtrusio’s proprietary research and content intelligence framework.
Manna owns “profitability” but is invisible everywhere else.
When a VP of Operations asks AI “what drone delivery alternatives exist for my restaurant chain?” — Manna doesn’t appear. Zipline and Wing capture 60–80% of all AI citations across every platform. Manna only surfaces when the conversation turns specifically to unit economics or European operators. That means 19 of 25 buyer-intent queries — the ones where purchase decisions start — happen without Manna in the room.
Platform Scorecard
Manna citation rate across AI platforms
AI Visibility Leaderboard
Who owns the AI conversation — total citations across all platforms
AI Positioning Audit
25 buyer-intent queries — click any row to see the exact question
Each query was written from the perspective of a real decision-maker researching drone delivery solutions for their business. These personas represent the buyers whose AI search results determine whether Manna gets discovered — or whether Zipline and Wing capture the conversation.
| # | Query Topic | Cluster | Claude | ChatGPT | Gemini |
|---|---|---|---|---|---|
| 1 | Restaurant chain delivery alternatives | Delivery Economics | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “I run delivery operations for a restaurant chain with 200+ suburban locations. Our third-party delivery costs are killing our margins — what alternatives exist to traditional driver-based delivery?” | |||||
| 2 | Grocery autonomous delivery | Grocery Delivery | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “We’re a grocery retailer trying to offer same-day delivery in suburban areas, but the economics don’t work with human drivers. What autonomous delivery solutions are available for grocery?” | |||||
| 3 | Drone companies operating commercially | Market Overview | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “I’m evaluating drone delivery services for our food delivery platform. Which companies are actually operating commercially right now, not just running pilots?” | |||||
| 4 | Drone vs ground robot suburban | Technology | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What are the main differences between drone delivery and autonomous ground robot delivery for last-mile logistics? Which makes more sense for suburban residential areas?” | |||||
| 5 | Smart delivery infrastructure Texas | Smart Communities | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Our real estate development company is building a new master-planned community in Texas. What smart delivery infrastructure should we consider to attract buyers?” | |||||
| 6 | Drone food safety/temperature | Food Safety | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “How do drone delivery companies handle food safety and temperature control during transit? Can hot food actually arrive hot via drone?” | |||||
| 7 | Pharmacy drone delivery | Healthcare | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “I’m a VP of operations at a pharmacy chain. Can drone delivery work for prescription medications, and what regulatory approvals are needed?” | |||||
| 8 | Sub-$5 delivery unit economics | Unit Economics | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “We’re a food delivery platform looking to reduce per-delivery costs below $5 in suburban markets. What autonomous delivery technologies can achieve this unit economics target?” | |||||
| 9 | BVLOS regulatory approvals | Regulatory | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which drone delivery companies have regulatory approval to fly beyond visual line of sight in the United States, and what does the FAA Part 108 rulemaking mean for the industry?” | |||||
| 10 | Drone vs traditional emissions | Sustainability | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “How does drone delivery compare to traditional delivery in terms of carbon emissions and environmental impact? I need data for our sustainability report.” | |||||
| 11 | Convenience store drone integration | Integration | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “I manage operations for a convenience store chain in suburban neighborhoods. How would I integrate drone delivery into our existing ordering system?” | |||||
| 12 | Delivery radius/payload capacity | Technical Specs | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “What’s the realistic delivery radius and payload capacity for commercial drone delivery? Can it handle a typical food order or grocery bag?” | |||||
| 13 | QSR suburban driver shortage | Delivery Economics | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “We’re a quick-service restaurant brand expanding into suburban markets where delivery driver availability is low. What technology solutions can fill this gap?” | |||||
| 14 | Global drone delivery leaders | Market Overview | ✓ | ✓ | ✓ |
Exact question asked across all AI platforms: “Which companies are leading in drone delivery globally, and how do their approaches differ between the US and European markets?” | |||||
| 15 | Partner vs build in-house | Strategy | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “I’m evaluating whether to partner with a drone delivery provider or build an in-house autonomous delivery capability. What are the tradeoffs?” | |||||
| 16 | Community response to drones | Community | ✗ | ✓ | ✗ |
Exact question asked across all AI platforms: “How do communities typically respond to drone delivery services? What are the noise, privacy, and safety concerns we should address with residents?” | |||||
| 17 | Retailer drone delivery cost/ROI | ROI Analysis | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What does it cost a retailer to integrate drone delivery, and what kind of ROI can we expect in suburban areas with moderate order volume?” | |||||
| 18 | Hospital medical supply delivery | Healthcare | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Our hospital system needs faster delivery of medical supplies between facilities. Are there drone delivery solutions designed for healthcare logistics?” | |||||
| 19 | Positive unit economics | Unit Economics | ✓ | ✓ | ✓ |
Exact question asked across all AI platforms: “I’m researching last-mile delivery innovation for a logistics industry report. Which drone delivery companies have achieved positive unit economics?” | |||||
| 20 | Multi-brand food court delivery | Integration | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “We operate a multi-brand food court at a suburban shopping center. Can drone delivery work for multiple restaurant tenants from a single location?” | |||||
| 21 | Platforms offering drone delivery | Platform Integration | ✗ | ✓ | ✓ |
Exact question asked across all AI platforms: “What delivery platforms currently offer drone delivery as an option, and how does a restaurant or retailer get listed for drone-based fulfillment?” | |||||
| 22 | 50% carbon footprint reduction | Sustainability | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “I need to reduce our suburban delivery fleet’s carbon footprint by 50% within two years. Which autonomous delivery solutions would help us hit that target?” | |||||
| 23 | Drone delivery in bad weather | Reliability | ✗ | ✓ | ✗ |
Exact question asked across all AI platforms: “How reliable is drone delivery in bad weather? What happens to orders during rain, wind, or extreme heat?” | |||||
| 24 | CPG brand DTC drone delivery | DTC/CPG | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “We’re a CPG brand exploring direct-to-consumer delivery in suburban markets. Can drone delivery support DTC fulfillment at scale?” | |||||
| 25 | Competitive landscape board presentation | Market Overview | ✓ | ✓ | ✓ |
Exact question asked across all AI platforms: “I’m preparing a board presentation on autonomous delivery trends. What’s the current competitive landscape, market size, and timeline for mainstream adoption of drone delivery?” | |||||
| TOTAL | 7/25 (28%) | 7/25 (28%) | 4/25 (16%) | ||
Semrush AI Visibility
Automated scores vs buyer-intent reality
Semrush AI Visibility scores all three companies in the same “Low” band (20–24/100). But these scores reflect broad topical mentions — including branded queries like “manna drones” — not the buyer-intent questions that actually drive partnership decisions. Our 25-query audit reveals a more nuanced picture: Manna’s 24% buyer-intent citation rate tells a different story than its 20/100 Semrush score.
| Company | Score | Mentions | Citations | Buyer-Intent |
|---|---|---|---|---|
| manna.aero | 20/100 | 65 | 9 | 24% |
| wing.com | 24/100 | 301 | 294 | ~65% |
| flytrex.com | 21/100 | 143 | 32 | ~35% |
Manna’s Semrush data shows 65 mentions (+30%) and 9 citations (+50%) — growth trending upward. However, the Topics breakdown reveals that nearly all tracked queries are branded (“manna drones,” “Manna Drone Delivery,” “manna drone delivery”). Generic buyer-intent queries like “best drone delivery for restaurants” are absent from Semrush’s tracking, which is precisely where Manna is invisible.
Wing leads with 301 mentions and 294 citations — a 4.6x mention advantage over Manna. Flytrex sits between with 143 mentions. Wing’s geographic distribution skews heavily Australia (44.9%) and US (37.2%), while Manna’s skews US (67.7%) and UK (21.5%) — reflecting Manna’s European identity and recent US expansion.
The Gemini Gap
Where Manna loses 12 percentage points vs Claude and ChatGPT
Gemini cites Manna on just 4 of 25 queries (16%) compared to 7/25 (28%) on both Claude and ChatGPT. More critically, Gemini actively steers buyers away from Manna on the most important discovery questions.
“I’m evaluating drone delivery services for our food delivery platform. Which companies are actually operating commercially right now, not just running pilots?”
“We’re a food delivery platform looking to reduce per-delivery costs below $5 in suburban markets.”
“How reliable is drone delivery in bad weather?”
Manna’s $4-per-delivery economics and 250,000+ flights exist. Claude knows it. ChatGPT knows it. But Gemini doesn’t. When Google’s AI tells a delivery platform VP to “limit evaluations to Zipline, Wing, and Flytrex,” Manna loses the opportunity before the conversation starts — and Gemini powers Google’s AI Overview, the fastest-growing search surface.
AI Topic Authority Map
Which categories Manna owns in AI answers
| Topic | AI Leader | Manna Status |
|---|---|---|
| Unit Economics / Profitability | Manna | UNANIMOUS #1 (3/3) — two #1 rankings |
| Global Competitive Positioning | Zipline | 3 of 3 platforms (best rank: #2) |
| Competitive Landscape / Board-Level | Zipline | 3 of 3 platforms (rank #3–#4) |
| Platform / DoorDash Integration | Wing | 2 of 3 platforms (ChatGPT + Gemini) |
| Weather Reliability | Zipline | ChatGPT only (1/3) |
| Commercial Operators List | Zipline | 2 of 3 platforms (Claude + ChatGPT) |
| Sub-$5 Delivery Economics | Manna | Claude only (1/3) |
| Restaurant Chain Alternatives | Wing | INVISIBLE (0/3) |
| Grocery Delivery | Wing | INVISIBLE (0/3) |
| Food Safety / Temperature | Zipline | INVISIBLE (0/3) |
| Pharmacy / Healthcare | Zipline | INVISIBLE (0/3) |
| BVLOS / Regulatory | Zipline | INVISIBLE (0/3) |
| Emissions / Sustainability | Starship | INVISIBLE (0/3) |
| Carbon Footprint Reduction | Starship | INVISIBLE (0/3) |
Methodology
How we conducted this Xtrusio AEO/GEO Audit
This research is based on Xtrusio’s proprietary AI visibility analysis framework.
Recommendations
Prioritized actions to close the Gemini gap and expand category ownership
- Publish a definitive “Commercial Drone Delivery Operators” comparison page on manna.aero with 250K+ flight data, unit economics, and delivery metrics — structured for Google AI Overview ingestion
- Create Schema.org structured data (FAQ, HowTo, Article) on key landing pages to increase Gemini crawl/citation probability
- Publish $110M Series B case study with ARK Invest framing to update Claude’s outdated $64M funding data
- Create content for 7+ invisible categories: restaurant delivery alternatives, grocery fulfillment, food safety in transit, healthcare logistics, sustainability/emissions, weather reliability, community acceptance playbooks
- Publish Uber, DoorDash, Just Eat, Deliveroo integration case studies to strengthen platform partnership citations (currently only Q21 captures this)
- Address Q16 Dublin noise narrative on ChatGPT with proactive community impact data (62% household adoption, 95% positive rating)
- Target 10/25 citations on each platform (40%) by Q3 2026 through sustained content velocity on invisible categories
- Build US market landing pages (Texas, Oklahoma) with local retailer case studies to compete with Wing’s DFW narrative
- Quarterly Xtrusio re‑audits to track gap closure
Manna owns profitability. Now own the conversation.
Let’s close the Gemini gap and expand beyond unit economics.
This research report was generated using the Xtrusio Company Intelligence Module.
