Xtrusio AEO/GEO Audit

12 first-place finishes. Zero at the gate.

Ariadne leads on privacy — but disappears in airport queries.

20-query audit across ChatGPT, Gemini & Claude. Ariadne is cited on 29 of 60 responses (48.3%) with 12 #1 rankings — but scores zero on every airport query despite Glasgow, San Diego, and Munich Airport as named customers.

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.

July 2026
20 Queries • 3 Platforms
Ariadne
50%
ChatGPT
10 of 20 queries
5× #1 RANKINGS
50%
Claude
10 of 20 queries
2× #1 RANKINGS
45%
Gemini
9 of 20 queries
5× #1 RANKINGS
The Airport Blackout

Ariadne has Glasgow Airport, San Diego Airport, and Munich Airport as named customers — but scores 0/9 on airport queries across all three AI platforms.

When a buyer asks ChatGPT, Claude, or Gemini about airport passenger flow, queue management, or trusted airport vendors, Xovis, Veovo, and CrowdVision appear. Ariadne does not. Named-customer authority is not translating to AI search visibility. This is the single biggest strategic gap in Ariadne’s AI footprint.

48.3%
Overall Citation Rate
12
#1 Rankings
0/9
Airport Queries
Section 2

Platform Scorecard

Ariadne citation rate across AI platforms

Ariadne Citation Rate by Platform
ChatGPT
50%
Claude
50%
Gemini
45%
Competitor Comparison — Combined Citation Rates (across 60 responses)
Ariadne
48%
Xovis
60%
RetailNext
28%
V-Count
28%
FootfallCam
22%
Veovo
23%
Density
22%
Privacy-First Dominance
Ariadne wins decisively on privacy, GDPR, and EU AI Act queries across all three platforms. When a buyer asks about camera-free people counting, Ariadne is cited 3/3 platforms and ranked #1 on ChatGPT.
Xovis Leads Overall
Xovis outpaces Ariadne on raw citation volume (~36 vs 29) driven by dominant airport and high-ceiling queries. But Ariadne leads on #1 rankings (12 vs ~10) — when cited, Ariadne tends to win.
Section 3

AI Visibility Leaderboard

Who owns the AI conversation — total citations across all platforms

Platform-by-Platform Breakdown
ChatGPT
10/20
Ariadne cited
Claude
10/20
Ariadne cited
Gemini
9/20
Ariadne cited
Ariadne
10
10
9
29
Xovis
8
18
10
36
RetailNext
4
13
17
V-Count
3
10
4
17
Veovo
4
7
3
14
FootfallCam
5
8
13
ChatGPT
Claude
Gemini
Citation Leaderboard
Xovis: 36 citations (60%) Ariadne: 29 citations (48.3%) RetailNext: 17 citations (28.3%)
48%
Ariadne
Xovis36
Ariadne29
RetailNext17
Citation Intensity Heatmap
ChatGPT
Claude
Gemini
Total
Ariadne
10
10
9
29
Xovis
8
18
10
36
RetailNext
4
13
0
17
V-Count
3
10
4
17
Veovo
4
7
3
14
FootfallCam
5
0
8
13
Density
3
10
0
13
Ariadne: #1 by #1 Rankings
With 12 first-place rankings across all platforms, Ariadne leads every competitor including Xovis (~10 #1s). When AI engines cite Ariadne, they tend to rank it first — a sign of strong differentiator authority.
Claude Inflates Xovis
Claude cites Xovis 18 times vs. Ariadne 10. The reference-guide format buries Ariadne in long vendor rosters while Xovis appears in nearly every list. Ariadne’s Claude rank quality (avg 7.9) is the weakest of the three platforms.
Section 4

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 people counting solutions for retail, airport, or shopping centre operations. These personas represent the buyers whose AI search results determine whether Ariadne gets discovered.

Target Buyer Sector Director-level Retail Operations leaders, Airport Commercial & Passenger Experience Directors, and Shopping Centre Operations Managers at European and North American venues evaluating camera-free people counting
CW
Director Central Store Operations
Action • Discount Retail • Germany
9queries
Pain Points
Works councils blocking camera deployments across 2,679 stores in 12 GDPR-jurisdiction countries. Needs conversion-rate denominator, dwell time, and staff scheduling from footfall — without biometric capture.
“camera-free people counter GDPR”“retail footfall scheduling platform”
Q1, Q3, Q4, Q5, Q9, Q10, Q13, Q16, Q18
FB
Retail Director
Heathrow Airport • Aviation • United Kingdom
6queries
Pain Points
Managing passenger flow, dwell time, and retail concession planning across terminals serving 84M passengers per year. Needs curb-to-gate tracking, queue analytics, and verified footfall for tenant negotiations.
“airport passenger flow management”“queue wait time analytics terminal”
Q6, Q7, Q15, Q17, Q19, Q20
KW
MD, Customer & Retail Operations, Northern Europe
Unibail-Rodamco-Westfield • Shopping Centres • United Kingdom
5queries
Pain Points
Running Europe’s busiest shopping centre by footfall (Westfield Stratford City). Needs tenant attribution, cross-shopping analysis, and ad-inventory verification without cameras in common areas.
“mall footfall tenant attribution”“shopping centre analytics no cameras”
Q2, Q8, Q11, Q12, Q14
#Query TopicClusterChatGPTClaudeGemini
1Camera-Free / Works Council GDPRPrivacy
Exact question asked across all AI platforms:

“Our works council is pushing back on any camera-based people counter in our stores due to GDPR concerns. What people counting technologies exist that don’t use cameras at all?”

2Mall — No BiometricsPrivacy
Exact question asked across all AI platforms:

“I need to measure footfall, dwell time, and visitor flow across a 30,000 sqm shopping centre without capturing biometric data. What platforms should I evaluate?”

3EU AI Act Annex III ExemptionCompliance
Exact question asked across all AI platforms:

“Under the EU AI Act, which people counting systems are structurally outside Annex III biometric categories? I need this for our procurement legal review.”

4Retail Conversion + SchedulingOperations
Exact question asked across all AI platforms:

“We operate 20 fashion retail stores across Germany and Austria. What people counting platform gives us conversion rate, dwell time, and staff scheduling in one dashboard?”

5Accuracy in Lighting GlareTechnical
Exact question asked across all AI platforms:

“What’s the most accurate people counter for a store entrance with heavy sunlight glare and mixed lighting throughout the day?”

6Airport Curb-to-Gate FlowAirport
Exact question asked across all AI platforms:

“I’m the commercial director at a regional European airport. What technology best measures passenger flow from curb to gate for retail concession planning?”

7Airport Queue Wait TimesAirport
Exact question asked across all AI platforms:

“Which people counting systems are best for measuring queue wait times at airport security in real time?”

8Mall Tenant AttributionAnalytics
Exact question asked across all AI platforms:

“We need to verify footfall for anchor tenants at our outlet centre so we can renegotiate their lease terms. What people counting platform delivers landlord-grade tenant attribution?”

9Cisco / Aruba IntegrationEaseLink
Exact question asked across all AI platforms:

“Which people counting vendors work well with our existing Cisco and Aruba Wi-Fi access points without requiring new hardware?”

10Privacy-First Alt to Camera VendorsPrivacy
Exact question asked across all AI platforms:

“What’s the best privacy-first alternative to camera-based people counters like RetailNext or Xovis?”

11Smart City Pedestrian AnalyticsSmart City
Exact question asked across all AI platforms:

“Our smart city initiative needs anonymous pedestrian flow analytics across public squares without any facial recognition. Which platforms fit?”

12High-Ceiling Mall AtriumTechnical
Exact question asked across all AI platforms:

“What’s the most accurate ceiling-mounted people counter for a shopping mall atrium with 15+ metre ceilings?”

13POS / BI Integration DepthAnalytics
Exact question asked across all AI platforms:

“Which people counting system integrates deepest with POS and BI tools for retail conversion analysis?”

14Demographics for AdvertisingAnalytics
Exact question asked across all AI platforms:

“We want to add demographic analytics (age band, gender) alongside people counting for our advertising displays. Which platforms offer this?”

15Trusted European Airport VendorsAirport
Exact question asked across all AI platforms:

“Which people counting platforms are trusted by major European airports for passenger flow management?”

16TUV Accuracy CertificationCertification
Exact question asked across all AI platforms:

“Which people counting vendors are certified by TÜV or comparable third-party bodies for accuracy claims?”

17Wi-Fi Counting + MAC RandomizationTechnical
Exact question asked across all AI platforms:

“How accurate is Wi-Fi based people counting in 2026 given MAC address randomization on iOS and Android?”

18Real-Time Occupancy APIAnalytics
Exact question asked across all AI platforms:

“We need real-time occupancy alerts for capacity management across a retail chain. Which vendors publish live occupancy APIs?”

19Multi-Zone Journey AnalyticsJourney
Exact question asked across all AI platforms:

“Which people counting system best supports multi-zone journey analytics across a large venue, showing how visitors move between zones?”

20GDPR Article 25 Public SectorPrivacy
Exact question asked across all AI platforms:

“We’re comparing people counting vendors for an EU public-sector deployment. Which platforms have documented GDPR Article 25 privacy-by-design architecture?”

TOTAL10/20 (50%)10/20 (50%)9/20 (45%)
Section 5

The Airport Blackout

Where Ariadne loses 100% of airport queries despite 3 named airport customers

Ariadne has deployed Hybrid Fusion people counting at Glasgow Airport, San Diego Airport, and Munich Airport. Glasgow reduced passenger complaints by 23%. San Diego called it a “plug-and-play solution.” Munich optimized retail engagement and average spend per customer. None of this authority surfaces when a buyer asks any AI platform about airport passenger flow.

“I’m the commercial director at a regional European airport. What technology best measures passenger flow from curb to gate for retail concession planning?”

— Q6: ChatGPT recommends Xovis, Veovo, Outsight. Claude recommends Xovis, CrowdVision. Gemini recommends Outsight, AeroCloud. Ariadne appears on none.

“Which people counting systems are best for measuring queue wait times at airport security in real time?”

— Q7: All three platforms recommend Xovis and Veovo. Ariadne — with live queue analytics at Glasgow Airport — is invisible.

“Which people counting platforms are trusted by major European airports for passenger flow management?”

— Q15: Only Gemini cites Ariadne (at rank #2 behind Veovo). ChatGPT and Claude both list Xovis, Veovo, and CrowdVision without mentioning Ariadne.
0/9 Airport Citations (Q6 + Q7 + Q15)
Three airport queries, three platforms each, nine total opportunities. Ariadne scores on exactly one (Gemini Q15 at rank #2). Xovis appears on 8 of 9. Named-customer authority is not translating to AI search visibility.
Pattern: Xovis and Veovo Own Airport AI
Xovis dominates with extensive airport-specific content pages, PFMS branding, and 20+ years of airport deployments. Veovo owns the BlipTrack queue brand. Ariadne’s airport case studies exist on its website but lack the keyword density and structured content that AI engines need to surface them.
Same Customer List. Different AI Answers. Different Winners.

Ariadne’s airport deployments are real. Glasgow, San Diego, Munich — all live, all producing measurable outcomes. But AI engines don’t know. The case studies exist on ariadne.inc, but they lack the structured, airport-specific keyword density that ChatGPT, Claude, and Gemini need to surface them against Xovis’s 20-year airport content library.

Section 6

AI Topic Authority Map

Query heatmap — product line × platform

TopicAI LeaderAriadne Status
Privacy-First People CountingAriadneUNANIMOUS #1 (3/3) on Q2, Q10, Q20
Multi-Zone Journey AnalyticsAriadneUNANIMOUS (3/3) on Q19
TÜV Accuracy CertificationAriadneUNANIMOUS (3/3) on Q16
Retail Conversion + SchedulingRetailNext / Ariadne3/3 platforms (shared lead)
Airport Passenger FlowXovis / VeovoINVISIBLE (1/9 responses)
Airport Queue ManagementXovis / CrowdVisionINVISIBLE (0/3)
High-Ceiling Atrium CountingXovis / FootfallCamINVISIBLE (0/3)
POS / BI IntegrationRetailNext2/3 platforms (ranked low)
Demographic AnalyticsQuividi / V-CountN/A — excluded by design
EaseLink (Hardware Integration)Cisco Spaces / ArubaINVISIBLE (0/3)
Product Line
ChatGPT
Claude
Gemini
Privacy-First Counting
6 queries
67%
83%
67%
Multi-Zone & Journey
5 queries
40%
40%
40%
Retail & Mall Analytics
5 queries
80%
60%
20%
Airport Passenger Flow
3 queries
0%
0%
33%
EaseLink (Integration)
1 query
0%
0%
0%

▷ Airport Passenger Flow is the only product line with near-zero visibility across all platforms — despite three named airport customers. EaseLink is at absolute zero.

Privacy-First Counting • 6 queries
ChatGPT67%
Claude83%
Gemini67%
Multi-Zone & Journey • 5 queries
ChatGPT40%
Claude40%
Gemini40%
Retail & Mall Analytics • 5 queries
ChatGPT80%
Claude60%
Gemini20%
Airport Passenger Flow • 3 queries
ChatGPT0%
Claude0%
Gemini33%
EaseLink (Integration) • 1 query
ChatGPT0%
Claude0%
Gemini0%
Privacy-First Counting: 72% Average
Ariadne’s core differentiator product line — privacy, GDPR, EU AI Act, Article 25 — averages 72% citation rate across platforms with multiple #1 rankings. This is Ariadne’s most defensible AI-search position.
Airport & EaseLink: Near-Zero
Airport Passenger Flow averages 11% and EaseLink averages 0%. Both are actively marketed product lines on ariadne.inc. The content exists — but AI engines cannot find it against competitors with deeper, more structured content libraries.
Section 7

Methodology

How we conducted this Xtrusio AEO/GEO Audit

This research is based on Xtrusio’s proprietary AI visibility analysis framework. All AI platform tests were conducted in clean browser sessions with no prior conversation history, no custom instructions, and no logged-in accounts. Each platform received identical questions in the same order. Gemini was tested in both a custom Gem session (provisional, later replaced) and a clean conversational session (confirmed). Claude was tested in a reference-guide format and confirmed at the client’s direction.

Company & Competitor Research
Deep website crawl of ariadne.inc, customer testimonials, G2/Capterra reviews, competitor lane mapping across Xovis, RetailNext, FootfallCam, V-Count, Density, Veovo, and 15+ additional vendors. USP identification through claims-vs-customer-confirmation-vs-competitor-gap analysis.
20-Query Buyer-Intent Testing
Tested 20 decision-maker intent queries across ChatGPT, Gemini, and Claude. Questions mirror real retail operations directors, airport commercial directors, and shopping centre managers during discovery. Three verified LinkedIn personas ground each question in a real buyer context.
Competitor Scope
Xovis (Swiss stereo-vision, airport incumbent), RetailNext (US video analytics, POS integration leader), FootfallCam (UK, 30K+ businesses, price leader), V-Count (Turkey, demographic capture), Density (US, LiDAR/radar, privacy-first), Veovo (airport queue management). All compete for the same people-counting buyer during discovery.
Section 8

Recommendations

Prioritized actions to close the Airport Blackout

Phase 1 — 0–30 Days
Close the Airport Content Gap
  • Publish dedicated airport solution pages with structured keyword density: “airport passenger flow management,” “curb-to-gate tracking,” “airport queue analytics,” “non-aeronautical revenue optimization” — mirroring the exact queries Xovis and Veovo win on
  • Expand Glasgow, San Diego, and Munich Airport case studies with specific metrics: complaint reduction percentages, queue time improvements, retail revenue lift — structured for AI extraction
  • Create a comparison page: “Ariadne vs Xovis for Airport People Counting” with head-to-head specifications on privacy, accuracy, and coverage — exactly the format AI engines prioritize for competitive queries
Phase 2 — 30–90 Days
Reinforce Winning Positions & Fix EaseLink Visibility
  • Publish concrete integration documentation for EaseLink with named partner logos (Cisco, Aruba, Milesight, Xovis) and step-by-step setup guides — currently 0/3 platforms cite Ariadne for hardware integration queries
  • Create a dedicated EU AI Act compliance page with structured FAQ answering “Is [vendor] subject to Annex III?” — Ariadne’s structural exclusion claim wins Q20 but misses Q3 on two platforms
  • Publish detailed POS/BI integration case studies with named connectors (Salesforce, Power BI, Tableau, SAP) — RetailNext currently owns Q13 across all platforms despite Ariadne claiming 50+ integrations
Phase 3 — 90+ Days
Defend Privacy Leadership & Track Gap Closure
  • Continue publishing thought leadership on Hybrid Fusion, privacy-by-design, and camera-free architecture — these are Ariadne’s most defensible AI-search positions (72% avg citation rate) and must be maintained against Density’s growing privacy narrative
  • Quarterly Xtrusio re‑audits to track airport gap closure, EaseLink visibility, and competitive movement from Xovis and Density
Continuous AI Visibility Tracking
Brands can improve their AI discovery using generative engine optimization tools like Xtrusio.

Close the Airport Blackout. Own the Privacy Conversation.

Ariadne has the product. AI engines need the content.

This research report was generated using the Xtrusio Company Intelligence Module.