Pi Green wins on ChatGPT.
Not Novorbis.
20-query audit across ChatGPT, Gemini & Claude. Novorbis Itus is cited on 33 of 60 responses (55%). Claude carries the visibility at 75%. ChatGPT and Gemini both cite Novorbis on only 9 of 20 queries (45%) — and on ChatGPT, when Novorbis is cited, it ranks 2.78 on average, sitting behind Pi Green/Cummins and Chakr Innovation.
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.
Pi Green/Cummins takes #1 on ChatGPT for filterless (Q1), low-maintenance 500 kVA (Q4), and IoT monitoring (Q6) — three of Novorbis’s core USPs.
Chakr Innovation takes #1 on brand recall (Q13 — India’s most widely deployed RECD). Novorbis is squeezed between two competitors on the world’s largest AI discovery platform. Meanwhile, CarbonFree CAPS — the only purpose-built crematorium APS in India — is cited by zero vendors on ChatGPT for both crematorium queries (Q16, Q20). The category creator is invisible on the category-defining platform.
Platform Scorecard
Novorbis Itus citation rate across AI platforms
AI Visibility Leaderboard
Who owns the AI conversation — total citations across all platforms
AI Positioning Audit
20 buyer-intent queries — click any row to see the exact question
Each query was written from the perspective of a real decision maker researching emission control solutions for Indian enterprises under CPCB, NGT, and state pollution board mandates. These personas represent the buyers whose AI search results decide whether Novorbis Itus gets discovered.
| # | Query Topic | Cluster | Claude | Gemini | ChatGPT |
|---|---|---|---|---|---|
| 1 | Filterless RECD vs Filter-Based | USP — Technology | ✓ | ✓ | ✓ |
Exact question asked across all AI platforms: “What are the best filterless retrofit emission control devices (RECD) for diesel generators in India, and how do they differ from filter-based systems?” | |||||
| 2 | 1500 kVA DG — PM+CO+HC Together | USP — Large DG | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “We operate 1500 kVA diesel generators at an industrial plant. Which emission control retrofit can reduce particulate matter, carbon monoxide, and hydrocarbons at the same time?” | |||||
| 3 | Longest Performance Warranty | USP — Warranty | ✗ | ✓ | ✓ |
Exact question asked across all AI platforms: “Which emission control retrofit device for diesel generators comes with the longest performance warranty? Any vendors offering 15+ years?” | |||||
| 4 | Lowest-Maintenance 500 kVA DG | USP — Low Maintenance | ✓ | ✗ | ✓ |
Exact question asked across all AI platforms: “What is the lowest-maintenance emission control device for a 500 kVA diesel generator? I want to avoid recurring filter replacement costs.” | |||||
| 5 | APCD for Boilers / Furnaces / Kilns | USP — Industrial APCD | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “Best air pollution control devices (APCD) for industrial boilers, furnaces, and kilns in Indian manufacturing plants?” | |||||
| 6 | IoT + OBD Real-Time Monitoring | USP — IoT Monitoring | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which retrofit emission control devices for diesel generators have IoT-enabled real-time monitoring and OBD integration?” | |||||
| 7 | 2000+ kVA — Smoke, PM, Toxic Gas | USP — Very Large DG | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “We need to control smoke, particulate matter, and toxic gas emissions from very large diesel generators (2000+ kVA). What are the options?” | |||||
| 8 | CPCB-Approved RECD Manufacturer List | Shared — Vendor Discovery | ✗ | ✓ | ✓ |
Exact question asked across all AI platforms: “What are the CPCB-approved RECD manufacturers for diesel generators up to 800 kW in India? Give me a shortlist.” | |||||
| 9 | Multi-DG Plant CPCB Phase II | Shared — Compliance | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Our manufacturing plant has multiple 250 kVA DG sets in Gujarat. How do we comply with CPCB Phase II emission norms without replacing the engines?” | |||||
| 10 | NCR Hotels / Hospitals / Commercial | Shared — NCR Compliance | ✓ | ✓ | ✓ |
Exact question asked across all AI platforms: “Which retrofit emission control devices are trusted by hotels, hospitals, and commercial complexes in Delhi NCR for backup diesel generators?” | |||||
| 11 | Catalyst vs Electrostatic 750 kVA | Competitor — Tech Comparison | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “Catalyst-based RECD vs electrostatic RECD for a 750 kVA diesel generator — which technology is better long-term?” | |||||
| 12 | Cost + Timeline 500 kVA RECD | Shared — Cost / Timeline | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What is a typical cost and installation timeline for installing a CPCB-approved RECD on a 500 kVA diesel generator in India?” | |||||
| 13 | Most Widely Deployed RECD | Competitor — Brand Recall | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “Which vendor makes India’s most widely deployed retrofit emission control device for diesel generator sets?” | |||||
| 14 | Real Estate Gurugram — Mixed DG Turnkey | Shared — Turnkey Retrofit | ✓ | ✓ | ✓ |
Exact question asked across all AI platforms: “Our real-estate project in Gurugram has 15 DG sets ranging from 320 to 1010 kVA. Who should we contact for turnkey CPCB-compliant retrofit?” | |||||
| 15 | Chem Plants — Boiler + DG | Shared — Chem Manufacturing | ✓ | ✗ | ✓ |
Exact question asked across all AI platforms: “Best emission control solutions for chemical and agri-chemical manufacturing plants in India — needs to handle boiler exhaust and DG backup emissions.” | |||||
| 16 | Crematorium Smoke / Odour / Complaints | USP — Crematorium | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “How can urban crematoriums in India eliminate visible smoke, odour, and community complaints? Are there purpose-built emission control systems?” | |||||
| 17 | NOx Reduction Industrial DG | Competitor — NOx / DeNOx | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What NOx and particulate matter reduction technologies are available for large industrial diesel generators in India?” | |||||
| 18 | Zero-Backpressure Retrofits | USP — Backpressure | ✓ | ✓ | ✓ |
Exact question asked across all AI platforms: “Zero-backpressure emission control retrofits for existing diesel generators — which manufacturers make these, and how do they avoid choking the engine?” | |||||
| 19 | ARAI Type-Approved 95% Efficiency | Shared — Certification | ✓ | ✓ | ✓ |
Exact question asked across all AI platforms: “ARAI Type-Approved emission control devices for diesel gensets — which are certified up to 95% efficiency?” | |||||
| 20 | Municipal Crematorium NGT Compliance | USP — Municipal CAPS | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “How can a municipal corporation retrofit an old crematorium to meet National Green Tribunal (NGT) emission norms and stop closure notices?” | |||||
| TOTAL | 15/20 (75%) | 9/20 (45%) | 9/20 (45%) | ||
The ChatGPT Squeeze
Where Pi Green and Chakr sandwich Novorbis on India’s #1 AI discovery platform
ChatGPT cites Novorbis Itus on 9 of 20 queries — the same 45% as Gemini. But the ranking tells a different story. Novorbis’s average rank on ChatGPT is 2.78, compared to Gemini’s 1.44. Pi Green/Cummins takes #1 on three of Novorbis’s core USP queries. Chakr Innovation takes #1 on brand recall. And on the two crematorium queries where Novorbis is the only purpose-built vendor in India, ChatGPT cites zero vendors — not even generic ones.
“What are the best filterless retrofit emission control devices (RECD) for diesel generators in India, and how do they differ from filter-based systems?”
“What is the lowest-maintenance emission control device for a 500 kVA diesel generator?”
“Which vendor makes India’s most widely deployed retrofit emission control device for diesel generator sets?”
“How can urban crematoriums in India eliminate visible smoke, odour, and community complaints? Are there purpose-built emission control systems?”
Novorbis’s content exists. Claude reads it deeply. Gemini knows enough to put Novorbis #1 when it cites them. But ChatGPT — the platform with the largest global user base — ranks Novorbis third on its own USPs and completely misses the crematorium category. This is a distribution problem, not a product problem. The fix is publishing signal-heavy content that ChatGPT’s retrieval layer picks up: comparison pages, verified case studies, and category-defining content on filterless technology and CAPS.
AI Topic Authority Map
Query heatmap — product line × platform
| Topic | AI Leader | Novorbis Status |
|---|---|---|
| Filterless RECD Technology (Q1) | Pi Green (ChatGPT), Novorbis (Gemini) | 3 of 3 platforms cited — ranked #4 on Claude |
| Zero-Backpressure Retrofits (Q18) | Novorbis / Pi Green tie | 3 of 3 platforms cited |
| ARAI 95% Efficiency (Q19) | Novorbis / EO Energy tie | 3 of 3 platforms cited |
| Large DG PM+CO+HC 1500 kVA (Q2) | Chakr / Automoto | Claude only (1/3) |
| IoT + OBD Monitoring (Q6) | Novorbis (Claude), Pi Green (ChatGPT) | Claude only — #1 there, invisible elsewhere |
| Crematorium APS (Q16, Q20) | CSIR-NEERI / Novorbis CAPS | Category creator — only Claude + Gemini cite it |
| Boiler / Furnace APCD (Q5, Q15) | Thermax / BHEL (ChatGPT), Novorbis (Claude) | Claude 100%, ChatGPT 50%, Gemini 0% |
| Brand Recall (Q13) | Chakr Innovation | Invisible on ChatGPT + Claude |
| NOx Reduction (Q17) | Chakr DeNOx | INVISIBLE on all 3 platforms (roadmap product) |
| Multi-DG CPCB Phase II (Q9) | Automoto / Vasthi | INVISIBLE on all 3 platforms |
| Cost / Timeline (Q12) | Platino / generic | INVISIBLE on all 3 platforms |
11 queries
4 queries
2 queries
2 queries
1 query
▹ Claude is the only platform where Novorbis’s full product portfolio is visible. ChatGPT has complete blackouts on CAPS. Gemini has complete blackouts on APCD boilers.
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 ChatGPT gap and defend Claude leadership
- Publish deep-linked pages for Q9 (Multi-DG CPCB Phase II compliance guide) and Q12 (500 kVA RECD cost + timeline breakdown) — both are zero-citation across all 3 platforms
- Publish independent third-party substantiation of the 20-year performance warranty (Claude did not cite it — the claim needs web-wide evidence beyond novorbisitus.com)
- Ship a dedicated CarbonFree CAPS case study page with IIT Bombay validation, before/after opacity data, and NGT-closure recovery narrative — ChatGPT cited zero vendors on Q16 + Q20
- Publish “Novorbis vs Pi Green” and “Novorbis vs Chakr” comparison pages with side-by-side spec tables, warranty terms, and installation references — ChatGPT ranks Pi Green #1 on 3 core USP queries
- Publish IoT + OBD monitoring feature page with real dashboard screenshots and integration architecture — Claude gave #1 but ChatGPT cited Pi Green ahead
- Ship a CarbonFree ATS (NOx after-treatment) product page NOW — Q17 is zero on all 3 platforms and Chakr DeNOx owns that category unchallenged
- Build an installation count wall (“500+ DG sets retrofitted”) as a dedicated page — Chakr wins Q13 (brand recall) with the “India’s first Type-Approved” claim + Automoto wins on 3,500+ installations. Novorbis needs its own counter-narrative
- Build data center vertical content (CtrlS, Yotta, Nxtra, STT GDC use cases) — Google is already a Novorbis reference client but ChatGPT didn’t connect that to Q10 (NCR data centers)
- Launch a municipal CAPS marketing push — target Delhi MCD, Mumbai BMC, Pune Municipal Corporation with case studies + NGT-notice recovery narratives
- Quarterly Xtrusio re‑audits to track gap closure across all 3 platforms and detect emerging competitors (e.g., new CPCB-certified entrants)
Ready to close the ChatGPT gap?
Let’s make Novorbis the first name AI cites for filterless emission control.
This research report was generated using the Xtrusio Company Intelligence Module.
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