NowSecure wins on Gemini.
Not Appknox.
25-query audit across ChatGPT, Gemini & Claude. Appknox is cited on 21 of 75 responses (28%). Claude ranks Appknox #1 in six categories. But Google’s Gemini returns zero — handing every buyer query to NowSecure, Data Theorem, and Guardsquare instead.
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.
Appknox is invisible on the world’s largest search engine’s AI.
When a CISO asks Google Gemini “What are the best mobile app security testing tools for enterprises?”, Gemini recommends NowSecure, Data Theorem, Guardsquare, Checkmarx, and Veracode.
Appknox does not appear in a single one of 25 buyer-intent queries on Gemini — despite
serving 300+ enterprises, Gartner recognition, and strong visibility on Claude and ChatGPT.
Platform Scorecard
Appknox 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 mobile application security testing solutions for their enterprise. These personas represent the CISOs, AppSec directors, and engineering leaders whose AI search results determine whether Appknox gets discovered.
| # | Query Topic | Cluster | Claude | ChatGPT | Gemini |
|---|---|---|---|---|---|
| 1 | Bank pre-launch testing | Pre-Launch | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“We\u2019re a mid-size bank rolling out a new mobile banking app \u2014 what\u2019s the best way to test it for security vulnerabilities before launch?” |
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| 2 | Jenkins CI/CD scanning | DevSecOps | ✓ | ✓ | ✗ |
|
Exact question asked across all AI platforms:
“Our development team uses Jenkins for CI/CD and we want to add automated mobile app security scanning to our pipeline. What are the best tools for this?” |
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| 3 | HIPAA mobile testing | Compliance | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“I manage mobile apps at a healthcare organization and need to ensure they comply with HIPAA. What mobile app security testing approach should we use?” |
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| 4 | Outsourced app verification | Vendor Risk | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“We outsource our mobile app development to a third-party vendor. How can we independently verify the security of the apps they deliver?” |
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| 5 | SAST vs DAST for mobile | Testing Methods | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“What\u2019s the difference between SAST and DAST for mobile application security, and do we need both?” |
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| 6 | 200+ apps at scale | Scale | ✗ | ✓ | ✗ |
|
Exact question asked across all AI platforms:
“Our FMCG brand has 200+ mobile apps across markets. What platform can handle security testing at that scale without manual bottleneck?” |
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| 7 | Low false positive scanners | Tool Quality | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“We keep getting false positives from our current mobile security scanner. Which tools are known for high accuracy and low false positive rates?” |
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| 8 | Enterprise tools 2026 | Vendor Landscape | ✗ | ✓ | ✗ |
|
Exact question asked across all AI platforms:
“What mobile application security testing tools are best for enterprise organizations in 2026?” |
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| 9 | DevSecOps for mobile | DevSecOps | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“How do I build a DevSecOps workflow for mobile apps without slowing down our release cycles?” |
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| 10 | Fake app monitoring | Brand Protection | ✗ | ✓ | ✗ |
|
Exact question asked across all AI platforms:
“We\u2019re concerned about fake versions of our banking app appearing on third-party app stores. How do we monitor and protect against that?” |
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| 11 | Fintech compliance tools | Compliance | ✓ | ✓ | ✗ |
|
Exact question asked across all AI platforms:
“What compliance frameworks should a fintech company follow for mobile app security, and which tools help automate compliance checks?” |
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| 12 | Cross-platform Android+iOS | Tool Quality | ✗ | ✓ | ✗ |
|
Exact question asked across all AI platforms:
“Our security team needs to test both Android and iOS apps with a single platform. What are the best cross-platform mobile security tools?” |
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| 13 | SDK supply chain visibility | Supply Chain | ✗ | ✓ | ✗ |
|
Exact question asked across all AI platforms:
“How do I get visibility into third-party SDKs and open-source components inside our mobile apps for supply chain security?” |
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| 14 | Government on-premise | Deployment | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“We\u2019re a government agency evaluating mobile app security solutions that support on-premise deployment. What are our options?” |
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| 15 | API security for mobile | Testing Methods | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“What\u2019s the best way to perform API security testing for mobile applications to catch authentication and authorization flaws?” |
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| 16 | Auto + manual pentest hybrid | Testing Methods | ✓ | ✓ | ✗ |
|
Exact question asked across all AI platforms:
“Our current mobile pentest process takes weeks and costs a fortune. Are there platforms that combine automated scanning with manual penetration testing more efficiently?” |
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| 17 | CISO board metrics | CISO Strategy | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“How should a CISO present mobile app security risk to the board, and what metrics matter most?” |
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| 18 | React Native telehealth | Pre-Launch | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“We\u2019re building a patient-facing telehealth app in React Native. What security testing do we need before we go live?” |
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| 19 | Gartner Hype Cycle tools | Vendor Landscape | ✓ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“What mobile app security tools does Gartner recommend in their latest Hype Cycle for Application Security?” |
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| 20 | OWASP MASVS compliance | Compliance | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“How do we ensure our mobile app meets the OWASP Mobile Application Security Verification Standard (MASVS)?” |
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| 21 | MSSP white-label programs | Partners | ✗ | ✓ | ✗ |
|
Exact question asked across all AI platforms:
“We\u2019re an MSSP looking to add mobile app security testing to our service offering. Which platforms support partner or white-label programs?” |
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| 22 | PCI-DSS mobile payments | Compliance | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“Our retail company processes credit card payments through our mobile app. What PCI-DSS requirements apply specifically to mobile, and how do we test for them?” |
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| 23 | Mobile threats 2026 | Threats | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“What are the biggest mobile app security threats enterprises should watch for in 2026?” |
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| 24 | Flutter + KMP scanning | Tool Quality | ✓ | ✓ | ✗ |
|
Exact question asked across all AI platforms:
“How do mobile app security testing tools compare when it comes to scanning apps built with Flutter and Kotlin Multiplatform?” |
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| 25 | API breach prevention | Testing Methods | ✗ | ✗ | ✗ |
|
Exact question asked across all AI platforms:
“We recently had a data breach traced to a vulnerable mobile API endpoint. How can we prevent this from happening again?” |
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| TOTAL | 11/25 (44%) | 10/25 (40%) | 0/25 (0%) | ||
Semrush AI Visibility
Automated scores vs buyer-intent reality
Semrush AI Visibility assigns Appknox a score of 17/100 — labeling it “Low” and “rarely mentioned in LLM outputs compared to competitors.” But the story is more nuanced than Semrush suggests. Appknox’s buyer-intent citation rate (28%) is significantly higher than what a 17/100 score implies, and the Semrush topics it tracks (“Mobile Application Security Standards and Testing”) are generic educational queries rather than decision-stage buying questions.
| Company | Score | Mentions | Citations | Buyer-Intent |
|---|---|---|---|---|
| appknox.com | 17/100 | 161 | 841 | 28% |
| nowsecure.com | 17/100 | 315 | 2,100 | 37% |
| datatheorem.com | 16/100 | 44 | 27 | 8% |
| oversecured.com | 15/100 | 13 | 24 | ~5% |
Semrush tracks Appknox across generic topics like “Mobile Application Security Standards and Testing” with 7 brand mentions and 1.4K AI volume. But these are educational queries (“How can I implement OWASP MSTG?”), not buying queries (“What’s the best mobile security tool for my enterprise?”). Appknox’s 841 Semrush citations come from broad awareness — our 25-query audit tests whether that awareness converts into purchase-stage recommendations.
All four companies cluster between 15–17/100 on Semrush — suggesting the tool can’t differentiate between them. But buyer-intent testing reveals NowSecure at 37% vs Appknox at 28% vs Data Theorem at 8% — a 4.6x gap that Semrush’s scores miss entirely. This is why companies rely on Xtrusio’s buyer-intent methodology.
The Gemini Gap
Where Appknox loses 100% of buyer queries on Google’s AI
When a CISO asks Claude or ChatGPT about mobile app security tools, Appknox appears in 40–44% of responses — often as the #1 recommendation. When that same CISO asks Gemini the exact same question, Appknox vanishes completely. Here are the queries that demonstrate the pattern:
“What mobile application security testing tools are best for enterprise organizations in 2026?”
“Our development team uses Jenkins for CI/CD and we want to add automated mobile app security scanning. What are the best tools?”
“Which tools are known for high accuracy and low false positive rates in mobile security scanning?”
Appknox’s content exists. Claude knows it. ChatGPT knows it. But Gemini doesn’t. With Google AI Overviews now appearing in standard search results, this isn’t just an AI chatbot problem — it’s a discovery problem that affects every buyer who uses Google to research mobile security tools.
AI Topic Authority Map
Which categories Appknox owns in AI answers
| Topic | AI Leader | Appknox Status |
|---|---|---|
| Outsourced App Verification | Appknox | Claude #1 (1/3) |
| Low False Positive Scanning | Appknox | Claude #1 (1/3) |
| Fintech Compliance Automation | Appknox | 2 of 3 platforms |
| Auto + Manual Pentest Hybrid | Appknox | 2 of 3 platforms |
| Flutter / KMP Framework Scanning | Appknox | 2 of 3 platforms |
| Fake App / Store Monitoring | Appknox | ChatGPT #1 (1/3) |
| SBOM / Supply Chain (Binary) | Appknox | ChatGPT #1 (1/3) |
| MSSP / Partner Programs | Appknox | ChatGPT #1 (1/3) |
| Enterprise MAST Tools | NowSecure | ChatGPT R5 (1/3) |
| CI/CD Integration (Jenkins) | NowSecure | 2 of 3 platforms |
| Government On-Premise | NowSecure | INVISIBLE (0/3) |
| API Security Testing | Generic tools | INVISIBLE (0/3) |
| OWASP MASVS Compliance | Generic methodology | 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 close the Gemini gap
- Publish comparison pages (Appknox vs NowSecure, Appknox vs Guardsquare) targeting queries Gemini currently sends to competitors
- Create a “Best Mobile App Security Testing Tools 2026” listicle with structured data markup that Google can surface in AI Overviews
- Ensure appknox.com robots.txt allows Googlebot and Google-Extended crawler access to all key pages
- Publish dedicated landing pages for “On-Premise Mobile Security Testing” (Q14), “Mobile API Security Testing” (Q15), and “OWASP MASVS Compliance Tool” (Q20) — all 0/3 platforms currently
- Create G2/Gartner Peer Insights review campaigns to strengthen third-party signals that AI platforms use for training
- Target 50% citation rate across all three platforms with industry-specific content (banking, healthcare, government, FMCG verticals)
- Quarterly Xtrusio re‑audits to track gap closure and monitor competitor movements
Close the Gemini Gap. Own Your AI Visibility.
Appknox ranks #1 on Claude six times. Imagine that across all three platforms.
This research report was generated using the Xtrusio Company Intelligence Module.
