Xtrusio AEO/GEO Audit

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.

April 2026
25 Queries • 3 Platforms
Zeliot
80%
Claude
20 of 25 queries
10× #1 RANKINGS
0%
ChatGPT
0 of 25 queries
⚠ TOTAL BLACKOUT
0%
Gemini
0 of 25 queries
⚠ TOTAL BLACKOUT
The ChatGPT & Gemini Blackout

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.

Section 2

Platform Scorecard

Zeliot citation rate across AI platforms

Zeliot Citation Rate by Platform
Claude
80%
ChatGPT
0%
Gemini
0%
Competitor Comparison — Combined Citation Rates (All 3 Platforms)
Zeliot
26.7%
LocoNav
24%
Fleetx
22.7%
Tata Elxsi
20%
Intangles
20%
Claude Dominance
Zeliot achieves the highest single-platform citation rate (80%) we have recorded — with 10 first-position rankings. Claude treats Zeliot as the definitive Indian connected vehicle platform.
ChatGPT & Gemini Blackout
An 80-point gap between platforms is unprecedented. The two AI platforms with the largest user bases return zero Zeliot citations across all 25 buyer-intent queries.
Section 3

AI Visibility Leaderboard

Who owns the AI conversation — total citations across all platforms

Platform-by-Platform Breakdown
Claude
20/25
Zeliot cited
ChatGPT
0/25
Zeliot cited
Gemini
0/25
Zeliot cited
Zeliot
20
20
LocoNav
8
5
5
18
Fleetx
8
4
5
17
Tata Elxsi
12
3
15
Intangles
6
5
4
15
ChatGPT
Claude
Gemini
Citation Leaderboard
Zeliot: 20 citations (26.7% of 75 responses) LocoNav: 18 citations (24%) Fleetx: 17 citations (22.7%)
27%
Zeliot
Zeliot20
LocoNav18
Fleetx17
Citation Intensity Heatmap
ChatGPT
Claude
Gemini
Total
Zeliot
20
20
LocoNav
8
5
5
18
Fleetx
8
4
5
17
Tata Elxsi
12
3
15
Intangles
6
5
4
15
Zeliot Leads Overall
Despite two platform blackouts, Zeliot’s 20 total citations edge out LocoNav (18) and Fleetx (17) — entirely on the strength of Claude’s 80% recognition rate and 10 #1 rankings.
Most Lopsided Distribution Ever
Every competitor spreads across 2–3 platforms. Zeliot concentrates 100% on Claude. LocoNav appears on all 3 platforms. Tata Elxsi dominates ChatGPT with 12 citations but has zero on Gemini.
Section 4

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.

RA
Head of Digital
Ashok Leyland • Commercial Vehicles • Chennai
8queries
Pain Points
Needs to build a connected vehicle platform for new truck/bus line. Worried about vendor lock-in, data sovereignty, and scaling to 100K+ vehicles. Evaluating build-vs-buy and cloud marketplace deployment.
“connected vehicle platform OEM India”“build vs buy telematics cloud”
Q2, Q5, Q8, Q13, Q16, Q19, Q20, Q24
PP
SVP & Head of Technology
Delhivery • Logistics • Bengaluru
8queries
Pain Points
Manages 500+ commercial vehicles with fragmented GPS data from multiple vendors. Needs unified dashboard, AIS-140 compliance, fuel monitoring from CAN bus, and AI-powered predictive maintenance.
“best fleet telematics platform India”“CAN bus fuel monitoring”
Q1, Q3, Q7, Q12, Q14, Q15, Q21, Q22
SJ
Co-Founder & CTO
Ather Energy • Electric Two-Wheelers • Bengaluru
4queries
Pain Points
Needs battery health monitoring, OTA firmware updates, and real-time diagnostics for EV fleet. Resource-constrained, needs fast time-to-market with Kafka-native data streaming for vehicle telemetry.
“EV connected vehicle platform India”“Kafka IoT data pipeline”
Q4, Q6, Q10, Q25
VK
CEO & Co-Founder
iTriangle Infotech • Telematics Hardware • Bengaluru
5queries
Pain Points
Manufactures telematics hardware but needs white-label cloud platform to offer managed services. Requires multi-tenant architecture, device-agnostic onboarding, and usage-based insurance APIs for insurance partners.
“white-label telematics platform”“multi-tenant IoT cloud”
Q9, Q11, Q17, Q18, Q23
# 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?”

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?”

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?”

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?”

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?”

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?”

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?”

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?”

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?”

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?”

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?”

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?”

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?”

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?”

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?”

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.”

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?”

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%)
Section 5

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%
Zeliot Semrush AI Visibility
Semrush AI VisibilityZeliot AI Visibility Dashboard — Score: n/a, 0 Mentions
Zeliot Semrush Topics
Semrush AI Visibility — TopicsZeliot Topics — Only “AWS Kafka and MSK” tracked

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 Semrush
Competitor BenchmarkLocoNav — Score: 40/100, 690 Mentions
Geotab Semrush
Competitor BenchmarkGeotab — Score: 42/100, 7.8K Mentions
Intellicar Semrush
Competitor BenchmarkIntellicar — Score: 14/100, 12 Mentions

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.

Semrush Tracks AWS Kafka — Not Connected Vehicles
The only Semrush-tracked topic for zeliot.in is “AWS Kafka and MSK” — a generic cloud comparison query. None of Zeliot’s core capabilities (BYOC telematics, Condense Edge, OEM platforms, AIS-140) appear in Semrush’s tracked topics. This is why companies rely on Xtrusio’s buyer-intent methodology.
Buyer-Intent Beats Volume
Zeliot outperforms LocoNav (26.7% vs 24%) and massively outperforms Geotab (26.7% vs 8%) on buyer-intent queries despite having zero Semrush mentions. Content quality and technical depth matter more than volume.
Section 6

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?”

— Claude: Zeliot Condense (#1, “most established BYOC telematics platform in India”). ChatGPT: Tata Elxsi TETHER AUTO, KPIT. Gemini: Wialon Local, ThingsBoard, Navixy. Zeliot absent on both.

“What role does Kafka play in modern connected vehicle data architectures?”

— Claude: Zeliot Condense (#1, “built natively on Kafka, providing a fully managed production-grade Kafka deployment”). ChatGPT: Generic Kafka/Confluent explanation. Gemini: Generic Kafka architecture. The company literally built on Kafka is invisible.

“We’re planning to add connected features to our two-wheeler product line in India.”

— Claude: Royal Enfield partnership with Zeliot (#2). ChatGPT: HARMAN Ready Ride, Tata Elxsi. Gemini: Aeris, Bosch 2W. Royal Enfield is a Zeliot client — but only Claude knows it.
25 Queries × 2 Platforms = 50 Lost Opportunities
Every buyer-intent query on ChatGPT and Gemini returns competitors instead of Zeliot. On ChatGPT, Tata Elxsi TETHER AUTO appears ~12 times. On Gemini, LocoNav and Bosch dominate. Even Zeliot’s own investor (Bosch) gets cited 6 times on Gemini while Zeliot gets zero.
Pattern: Deep Content Wins on Claude, Volume Wins Elsewhere
Zeliot’s blog-heavy strategy (ecosystem guides, technical deep-dives, Kafka architecture posts) resonates deeply with Claude’s content indexing. But LocoNav, Fleetx, and Tata Elxsi have broader web footprints that ChatGPT and Gemini favor — more G2 reviews, press coverage, and third-party mentions.
Same Question. Different Platforms. Different Winners.

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.

Section 7

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)
Topic Cluster
Claude
ChatGPT
Gemini
OEM Platform
100%
0%
0%
Data Security / BYOC
100%
0%
0%
Edge Analytics
100%
0%
0%
Partner Platform
100%
0%
0%
Compliance (AIS-140)
0%
0%
0%
Fleet Management
0%
0%
0%
Industrial IoT
50%
0%
0%
OEM Platform
Claude100%
ChatGPT0%
Gemini0%
Data Security / BYOC
Claude100%
ChatGPT0%
Gemini0%
Compliance (AIS-140)
Claude0%
ChatGPT0%
Gemini0%
Fleet Management
Claude0%
ChatGPT0%
Gemini0%
7 Categories Owned on Claude
BYOC deployment, Kafka architecture, edge computing, OEM platforms, OTA management, CAN-bus fuel, multi-tenant TSP — all #1 on Claude. These are Zeliot’s deepest technical moats.
4 Categories Completely Invisible
AIS-140 compliance, last-mile delivery, AI predictive maintenance, and heavy equipment — zero citations across all 3 platforms. These represent content gaps, not product gaps.
Section 8

Methodology

How we conducted this Xtrusio AEO/GEO Audit

Semrush AI Visibility Data
Pulled Semrush AI Visibility reports for zeliot.in and 3 competitors (LocoNav, Geotab, Intellicar). Analyzed scores, mentions, cited pages, and LLM distribution.
25-Query Buyer-Intent Testing
Tested 25 decision-maker intent queries across ChatGPT, Gemini, and Claude. Questions mirror real OEM digital leaders, fleet operations heads, and EV CTOs researching connected vehicle platforms.
Competitor Scope
LocoNav (fleet SaaS), Fleetx (AI freight), Intangles (predictive maintenance), Tata Elxsi TETHER AUTO (OEM engineering), Geotab (global telematics). All compete for connected vehicle buyers during discovery.
Section 9

Recommendations

Prioritized actions to break the ChatGPT & Gemini blackout

Phase 1 — 0–30 Days
Build Third-Party Signal Density
  • 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
Phase 2 — 30–90 Days
Content Strategy for ChatGPT & Gemini Indexing
  • 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
Phase 3 — 90+ Days
Scale to Multi-Platform Visibility
  • 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
Continuous AI Visibility Tracking
Brands can improve their AI discovery using generative engine optimization tools like Xtrusio.

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.