Tata Elxsi wins on ChatGPT.
Not Zeliot.
25-query audit across ChatGPT, Gemini & Claude. Zeliot is cited on 20 of 75 responses (26.7%) — but every single citation comes from one platform. ChatGPT and Gemini recommend LocoNav, Fleetx, Intangles, and Tata Elxsi instead. Zeliot is invisible on 2 of 3 AI platforms.
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.
Claude knows Zeliot is the definitive Indian connected vehicle platform — 80% citation rate, 10 first-position rankings.
But ChatGPT and Gemini — the two platforms with the largest user bases — don’t know Zeliot exists. When an OEM VP or fleet head asks ChatGPT about connected vehicle platforms in India, they get Tata Elxsi TETHER AUTO (12 citations). When they ask Gemini, they get LocoNav (5), Fleetx (5), and Bosch (6).
Zeliot appears on neither. Even Zeliot’s most unique differentiators — BYOC
deployment, Kafka-native architecture, cloud marketplace availability — return zero results on ChatGPT
and Gemini.
Platform Scorecard
Zeliot 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 connected vehicle and telematics platforms for their organization. These questions represent the exact queries that OEM digital leaders, fleet operations heads, EV CTOs, and technology service providers type into AI assistants during the discovery phase.
| # | Query Topic | Cluster | Claude | ChatGPT | Gemini |
|---|---|---|---|---|---|
| 1 | Unified telematics data | Data Unification | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“I manage a fleet of 500+ commercial vehicles across India and I’m struggling with fragmented GPS data from multiple vendors. What are the best cloud-based platforms that can unify telematics data from different hardware devices into a single dashboard?” |
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| 2 | OEM telematics cloud (India) | OEM Platform | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“We’re an Indian automotive OEM launching a connected vehicle platform for our new truck line. What are the leading telematics cloud platforms in India that support device-agnostic integration and edge analytics?” |
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| 3 | AIS-140 compliance | Compliance | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“Our logistics company needs to comply with AIS-140 regulations for our public transport fleet. Which telematics solution providers in India offer both AIS-140 compliant devices and a scalable cloud platform?” |
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| 4 | EV platform — BMS, OTA | EV / Battery | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“I’m a CTO at an EV startup in India and we need a connected vehicle data platform that can handle battery health monitoring, OTA firmware updates, and real-time diagnostics. What are the best options available?” |
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| 5 | Build vs buy CV platform | OEM Platform | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“What are the key differences between building a connected vehicle platform in-house versus using a managed telematics cloud platform? When does it make sense for an OEM to buy rather than build?” |
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| 6 | BYOC deployment model | Data Security | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“We’re evaluating telematics platforms for our fleet and data security is our top concern. Which connected vehicle platforms in India offer a bring-your-own-cloud deployment model where our data stays on our own cloud infrastructure?” |
|||||
| 7 | Heavy equipment telematics | Industrial IoT | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“Our company operates mining and construction equipment across remote sites in India. We need real-time equipment tracking, predictive maintenance alerts, and fuel monitoring. What IoT fleet platforms support heavy equipment telematics?” |
|||||
| 8 | Edge computing for costs | Edge Analytics | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“I’m looking for a telematics platform that can process real-time data from tens of thousands of vehicles simultaneously without high cloud costs. Which platforms use edge computing to reduce cloud dependency and processing costs?” |
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| 9 | White-label partner platform | Partner Platform | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“We’re a telematics hardware manufacturer in India and want to offer a managed cloud platform to our customers without building the software ourselves. Are there white-label or partner-ready telematics cloud platforms available?” |
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| 10 | India CV ecosystem landscape | Market Overview | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“What is the current state of the connected vehicle ecosystem in India? Which companies are leading the telematics platform space for automotive OEMs versus fleet management?” |
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| 11 | Usage-based insurance APIs | UBI / Insurance | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“Our insurance company wants to launch a usage-based insurance product in India. Which telematics data platforms can provide driver behavior scoring, trip analytics, and risk profiling APIs that we can integrate with our underwriting systems?” |
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| 12 | OTA device management | Device Mgmt | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“We recently deployed telematics across our entire truck fleet but the maintenance costs for device management and firmware updates are very high. Are there platforms that support over-the-air device management and remote diagnostics?” |
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| 13 | OEM subscription monetization | OEM Platform | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“I run the digital transformation team at a large commercial vehicle OEM. We want to offer connected services like remote diagnostics, predictive maintenance, and fleet management as a subscription to our customers. Which platforms enable this type of connected vehicle monetization?” |
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| 14 | 50K+ vehicle scalability | Evaluation | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“What are the most important factors to consider when choosing a telematics platform for a large-scale deployment of 50,000+ vehicles? How should we evaluate scalability, data security, and total cost of ownership?” |
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| 15 | Last-mile delivery fleet | Fleet Mgmt | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“We’re a last-mile delivery company scaling rapidly in India. We need route optimization, driver performance monitoring, and real-time visibility for our delivery fleet. Which fleet management platforms work best for high-volume urban delivery operations?” |
|||||
| 16 | Indian OEMs building platforms | Market Overview | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“How are Indian automotive OEMs like Tata Motors, Ashok Leyland, and Mahindra building their connected vehicle platforms? Are they building in-house or partnering with telematics platform companies?” |
|||||
| 17 | SaaS vs PaaS telematics | Platform Choice | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“We want to deploy a telematics solution across our fleet but we’re confused between traditional SaaS fleet management tools and platform-as-a-service models that let us build custom applications. Can you explain the difference and when each approach is better?” |
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| 18 | Bus safety — emergency response | Compliance | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“Our bus operator fleet needs emergency response automation, panic button integration, and real-time vehicle health monitoring for passenger safety. Which platforms in India support connected safety features for public transport?” |
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| 19 | Cloud marketplace deployment | Deployment | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“We’re looking at connected vehicle data platforms available on AWS or Azure marketplace for fast deployment. Which telematics platforms can be deployed through cloud marketplaces without lengthy procurement cycles?” |
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| 20 | Kafka in CV data architecture | Architecture | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“What role does Kafka play in modern connected vehicle data architectures? How do real-time streaming platforms handle the massive volume of data from millions of IoT devices in fleet and mobility applications?” |
|||||
| 21 | AI predictive maintenance | Analytics | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“Our fleet currently uses a basic GPS tracking system with limited analytics. We want to upgrade to a platform that offers AI-powered predictive maintenance, fuel analytics, and driver behavior insights. What platforms offer these advanced capabilities?” |
|||||
| 22 | CAN-bus fuel reading | Industrial IoT | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“I’m an operations head at an oil and gas company with a fleet of tanker trucks. We need to monitor fuel levels directly from the vehicle CAN bus without external sensors. Which telematics platforms support CAN-based fuel reading?” |
|||||
| 23 | Multi-tenant for TSPs | Partner Platform | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“How do telematics platforms handle multi-tenant architectures? We’re a technology service provider supporting multiple fleet clients and need a platform where each client’s data is completely isolated and secure.” |
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| 24 | Two-wheeler telematics | OEM Platform | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“We’re planning to add connected features to our two-wheeler product line in India. The challenge is low-power devices, limited bandwidth, and cost sensitivity. Which telematics platforms are optimized for two-wheeler and lightweight vehicle connectivity?” |
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| 25 | TCO for 10,000 vehicles | Evaluation | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“What is the total cost of deploying a connected vehicle platform for a fleet of 10,000 vehicles in India? How do different platforms compare on pricing models — per device, per vehicle, subscription, or cloud consumption-based?” |
|||||
| TOTAL | 20/25 (80%) | 0/25 (0%) | 0/25 (0%) | ||
Semrush AI Visibility
Automated scores vs buyer-intent reality
Semrush AI Visibility tracks broad mentions across AI platforms — but its automated scoring misses the buyer-intent queries that actually drive pipeline. Zeliot scores n/a on Semrush with zero mentions, yet achieves an 80% citation rate on Claude for real buyer questions. Meanwhile, LocoNav scores 40/100 with 690 mentions but only appeared on 24% of our buyer-intent queries. The disconnect is clear: Semrush tracks volume, not purchase intent.
| Company | Score | Mentions | Citations | Buyer-Intent |
|---|---|---|---|---|
| zeliot.in | n/a | 0 | 32 | 26.7% |
| loconav.com | 40/100 | 690 | 3.1K | 24% |
| geotab.com | 42/100 | 7.8K | 15.9K | 8% |
| intellicar.in | 14/100 | 12 | 2 | 0% |


Semrush assigns Zeliot zero mentions and no visibility score — yet the only topic it tracks for zeliot.in is “AWS Kafka and MSK,” a generic cloud infrastructure query completely unrelated to connected vehicles, telematics platforms, or OEM mobility solutions. Semrush is tracking the wrong universe entirely.



LocoNav and Geotab achieve moderate Semrush scores (40 and 42 respectively) driven by high general mention volumes, but their buyer-intent performance is significantly lower. Geotab’s 7,800 mentions translate to only 8% of our buyer queries — its content focuses on North American fleets, not Indian OEM platforms. Intellicar, Zeliot’s closest direct competitor in India, scores just 14/100 with 12 mentions.
The ChatGPT & Gemini Blackout
Where Zeliot loses 50 potential citations across 2 platforms
This is not a partial gap — it is a total blackout. When an OEM VP asks ChatGPT about connected vehicle platforms in India, ChatGPT recommends Tata Elxsi TETHER AUTO. When a fleet head asks Gemini about BYOC telematics, Gemini recommends Wialon and ThingsBoard. Zeliot — the Bosch-backed, Kafka-native, BYOC-first platform used by Royal Enfield and Ashok Leyland — does not exist in either platform’s response space.
“We’re evaluating telematics platforms for our fleet and data security is our top concern. Which connected vehicle platforms in India offer a bring-your-own-cloud deployment model?”
“What role does Kafka play in modern connected vehicle data architectures?”
“We’re planning to add connected features to our two-wheeler product line in India.”
Zeliot’s content exists. Claude knows it. But ChatGPT and Gemini don’t. When a Bosch-backed platform with Royal Enfield, Ashok Leyland, TVS, and Indian Oil as clients is invisible on 2 of 3 AI platforms — the problem isn’t product-market fit. It’s content-platform fit. Zeliot’s deep technical content resonates with Claude but lacks the third-party signal density (G2 reviews, analyst coverage, press mentions) that ChatGPT and Gemini require.
AI Topic Authority Map
Which categories Zeliot owns in AI answers
| Topic | AI Leader | Zeliot Status |
|---|---|---|
| BYOC Deployment / Data Security | Zeliot | Claude #1 (1/3) |
| Kafka-Native CV Architecture | Zeliot | Claude #1 (1/3) |
| Edge Computing (Condense Edge) | Zeliot | Claude #1 (1/3) |
| OEM Connected Vehicle Platform | Zeliot / Tata Elxsi | Claude #1, ChatGPT invisible |
| OTA Device Management | Zeliot / Sibros | Claude #1, others on GPT |
| CAN-Bus Fuel Reading | Zeliot | Claude #1 (1/3) |
| Multi-Tenant for TSPs | Zeliot | Claude #1 (1/3) |
| Two-Wheeler Connectivity | HARMAN / Zeliot | Claude #2, GPT invisible |
| AIS-140 Compliance | iTriangle / LocoNav | INVISIBLE (0/3) |
| Fleet Management (Last-Mile) | LocoNav / Fleetx | INVISIBLE (0/3) |
| AI Predictive Maintenance | Intangles | INVISIBLE (0/3) |
| Heavy Equipment Telematics | Trimble / Samsara | 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 break the ChatGPT & Gemini blackout
- Create and optimize G2, Capterra, and GetApp profiles for Zeliot Condense — ChatGPT heavily weights review platforms
- Publish Bosch investment case study and Royal Enfield/Ashok Leyland partnership announcements via PR wires (BusinessWire, PRNewswire India)
- Get listed on “best telematics platforms India” comparison articles — Gemini sources these list pages heavily
- Publish comparison content: “Zeliot vs LocoNav,” “Zeliot vs Tata Elxsi TETHER AUTO,” “Zeliot vs Geotab for Indian OEMs”
- Create AIS-140 compliance content to close the biggest content gap (0/3 platforms)
- Pursue analyst coverage from TelematicsWire, ETAuto, and Autocar Professional — these are high-authority signals for ChatGPT
- Target 50%+ citation rate on ChatGPT and 30%+ on Gemini within 6 months
- Maintain Claude dominance (80%) by continuing deep technical content publishing
- Quarterly Xtrusio re‑audits to track gap closure
Break the ChatGPT & Gemini Blackout
Zeliot owns Claude. Now let’s win the other two.
This research report was generated using the Xtrusio Company Intelligence Module.


