FIDO ranks #1 for leak sizing.
But 5 buyer queries return zero FIDO visibility on any platform.
20-query audit across ChatGPT, Gemini & Claude. FIDO Tech is cited on 28 of 60 responses (46.7%). FIDO dominates its core differentiators — leak sizing, acoustic re-analysis, and AI prioritization all return FIDO at #1. But entire buyer categories — continuous monitoring, pipe condition, satellite detection — cite competitors exclusively.
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.
FIDO owns leak sizing. Nobody else does. But that’s where the dominance ends.
When a buyer asks “which leaks should I fix first?” — every platform says FIDO. When they ask “what’s the best permanent monitoring network?” — Gutermann, Mueller, and Ovarro own the answer. Five of twenty buyer queries return zero FIDO mentions on any platform. These aren’t edge cases — they’re questions about NRW reduction, pipe condition, satellite detection, and fixed acoustic networks. FIDO’s AI layer is invisible in the categories where hardware incumbents dominate the conversation.
Platform Scorecard
FIDO Tech 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 water leak detection, network monitoring, or corporate water stewardship solutions. These personas represent the buyers whose AI search results determine whether FIDO Tech gets discovered.
| # | Query Topic | Cluster | Claude | ChatGPT | Gemini |
|---|---|---|---|---|---|
| 1 | Leak Sizing | Leak Detection | ✓ | ✓ | ✓ |
Exact question asked across all AI platforms: “Is there any water leak detection technology that can tell me how big a leak is, not just where it is?” | |||||
| 2 | Re-Analyze Acoustic Files | Leak Detection | ✓ | ✓ | ✓ |
Exact question asked across all AI platforms: “We already have years of acoustic logger recordings — is there software that can re-analyze our existing files to find leaks we missed?” | |||||
| 3 | All-in-One Device | Leak Detection | ✗ | ✓ | ✗ |
Exact question asked across all AI platforms: “What’s the most cost-effective way to detect, pinpoint, and confirm a water leak with one device instead of separate correlators and ground microphones?” | |||||
| 4 | Repair Validation | Leak Detection | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “How can a utility confirm that a completed leak repair actually worked and didn’t leave a smaller secondary leak behind?” | |||||
| 5 | Validated Water Savings | Water Stewardship | ✓ | ✓ | ✓ |
Exact question asked across all AI platforms: “How can a company get independently validated water savings it can count toward water-positive or replenishment goals?” | |||||
| 6 | Plastic & PVC Mains | Leak Detection | ✗ | ✓ | ✓ |
Exact question asked across all AI platforms: “Which leak detection methods work reliably on plastic and PVC water mains, not just metal pipes?” | |||||
| 7 | AI Leak Prioritization | Leak Detection | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “Can AI rank which water leaks to fix first based on how much water each one is actually losing?” | |||||
| 8 | Supply-Chain Water Risk | Water Stewardship | ✓ | ✓ | ✓ |
Exact question asked across all AI platforms: “How can a global company reduce water risk in its supply chain by funding water savings on local utility networks?” | |||||
| 9 | Best Acoustic Equipment | Leak Detection | ✗ | ✓ | ✗ |
Exact question asked across all AI platforms: “What’s the best acoustic leak detection equipment for a municipal water utility?” | |||||
| 10 | 24/7 Continuous Monitoring | Network Monitoring | ✗ | ✗ | ✓ |
Exact question asked across all AI platforms: “What are the leading systems for continuously monitoring a water network for leaks around the clock?” | |||||
| 11 | Reduce NRW Without Pipes | Network Monitoring | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “How can a water utility reduce non-revenue water without replacing all of its pipes?” | |||||
| 12 | District-Scale Monitoring | Network Monitoring | ✓ | ✗ | ✓ |
Exact question asked across all AI platforms: “What’s a good way for a fast-growing city to monitor an entire water district for leaks at scale?” | |||||
| 13 | Hidden Non-Surfacing Leaks | Leak Detection | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What technologies help utilities find hidden underground water leaks that never reach the surface?” | |||||
| 14 | Improve Local Water Availability | Water Stewardship | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “How can a company with operations in water-stressed regions improve local water availability around its sites?” | |||||
| 15 | Corporate–Utility Partnerships | Water Stewardship | ✓ | ✓ | ✗ |
Exact question asked across all AI platforms: “How can corporations partner with water utilities to make a measurable impact on local water scarcity?” | |||||
| 16 | Satellite Leak Detection | Infrastructure | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Can satellites detect underground water leaks across a very large distribution network?” | |||||
| 17 | Pipe Condition Assessment | Infrastructure | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which technologies can assess the structural condition of aging water pipes, not just locate leaks?” | |||||
| 18 | Permanent Acoustic Networks | Network Monitoring | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What permanently installed acoustic sensor networks are best for fixed, city-wide leak monitoring?” | |||||
| 19 | Replenishment Methodology | Water Stewardship | ✓ | ✗ | ✓ |
Exact question asked across all AI platforms: “What’s the most credible methodology for a company to quantify and validate the water it replenishes?” | |||||
| 20 | Scope 3 Water Reporting | Water Stewardship | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “What corporate water stewardship programs help companies report Scope 3 water use and meet new disclosure rules?” | |||||
| TOTAL | 11/20 (55%) | 9/20 (45%) | 8/20 (40%) | ||
The Gemini Gap
Where FIDO Tech loses 15 percentage points vs Claude
Gemini cites FIDO on just 8 of 20 queries (40%) — compared to Claude’s 55% and ChatGPT’s 45%. The gap isn’t random. Gemini defaults to traditional hardware brands in categories where FIDO’s AI-layer positioning doesn’t register.
“Can AI rank which water leaks to fix first based on how much water each one is actually losing?”
“What’s the most cost-effective way to detect, pinpoint, and confirm a water leak with one device?”
“How can corporations partner with water utilities to make a measurable impact on local water scarcity?”
FIDO’s content exists. ChatGPT and Claude know it. But Gemini doesn’t. Seven buyer queries that cite FIDO on at least one platform return zero FIDO mentions on Gemini. That’s not a content gap — it’s a distribution gap. The same buyer asking the same question on a different platform gets a completely different vendor shortlist.
AI Topic Authority Map
Query heatmap — product line × platform
| Topic | AI Leader | FIDO Status |
|---|---|---|
| Leak Sizing (Q1) | FIDO Tech | UNANIMOUS #1 (3/3) |
| Acoustic Re-Analysis (Q2) | FIDO Tech | UNANIMOUS #1 (3/3) |
| Validated Water Savings (Q5) | FIDO Tech | 3 of 3 platforms |
| Supply-Chain Water Risk (Q8) | FIDO Tech | 3 of 3 platforms |
| AI Leak Prioritization (Q7) | FIDO Tech | 2 of 3 (not Gemini) |
| Corporate–Utility Partnerships (Q15) | FIDO Tech | 2 of 3 (not Gemini) |
| Best Acoustic Equipment (Q9) | Gutermann / FIDO | ChatGPT only (1/3) |
| Continuous Monitoring (Q10) | Gutermann / Mueller | Gemini only (1/3) |
| NRW Without Replacement (Q11) | Echologics / Xylem | INVISIBLE (0/3) |
| Hidden Non-Surfacing Leaks (Q13) | ASTERRA / Echologics | INVISIBLE (0/3) |
| Satellite Detection (Q16) | ASTERRA | INVISIBLE (0/3) |
| Pipe Condition Assessment (Q17) | Echologics / Xylem | INVISIBLE (0/3) |
| Permanent Acoustic Networks (Q18) | Gutermann / Mueller | INVISIBLE (0/3) |
6 queries
8 queries
6 queries
▷ Network Monitor is FIDO’s weakest product line on AI — competitors own the continuous monitoring, fixed-sensor, and pipe-assessment categories that map to this revenue line.
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 own the Network Monitor category
- Publish dedicated pages for NRW reduction, pipe monitoring partnerships, and permanent network monitoring — the 5 queries where FIDO has zero visibility on any platform
- Create a “FIDO vs Gutermann vs Echologics” comparison page targeting the hardware-incumbent categories where AI defaults to competitors
- Add structured FAQ schema for all 20 buyer queries — AI platforms pull from FAQ markup preferentially
- Publish 3–5 long-form articles on Network Monitor use cases targeting the Q10/Q11/Q12/Q18 categories — these are FIDO’s weakest product line across all platforms
- Secure third-party citations on water industry publications (WaterWorld, Water Online, Global Water Intelligence) — Gemini heavily weights source authority
- Amplify the Microsoft/Meta/Gap/PepsiCo case studies with dedicated landing pages per partner — corporate stewardship content is strong on Claude but missing from Gemini
- Protect the 4 unanimous #1 positions (leak sizing, re-analysis, validated savings, supply-chain risk) with ongoing content reinforcement
- Quarterly Xtrusio re‑audits to track gap closure and measure Network Monitor category progress
FIDO owns leak sizing. Let’s make it own everything else.
Close the Gemini Gap. Claim the Network Monitor category. Protect your #1 positions.
This research report was generated using the Xtrusio Company Intelligence Module.
