ChatGPT knows Aryon Security.
Claude and Gemini don’t.
20-query audit across ChatGPT, Gemini & Claude. Aryon Security is cited on 7 of 60 responses (11.7%). All 7 citations come from a single platform — ChatGPT. Claude and Gemini return zero.
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.
Aryon Security is invisible on 2 of 3 AI platforms.
When senior security leaders ask Claude or Gemini about cloud security enforcement — the exact category Aryon invented — neither platform mentions Aryon. Not once. Across 20 buyer-intent queries, Claude defaults to OPA, Sentinel, and native cloud controls. Gemini defaults to Checkov, Trivy, and Snyk. The “preventive cloud security enforcement” category that Aryon occupies simply does not exist in their knowledge graphs. Only ChatGPT has indexed Aryon’s positioning, citing it 7 times with 5 first-place rankings. Two-thirds of the AI discovery channel is dark.
Platform Scorecard
Aryon Security 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 cloud security enforcement and CSPM alternatives for their organization. These personas represent the senior security leaders whose AI search results determine whether Aryon Security gets discovered during the evaluation phase.
| # | Query Topic | Cluster | ChatGPT | Claude | Gemini |
|---|---|---|---|---|---|
| 1 | Preventing misconfigs pre-production | Multi-Stack | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What tools can prevent cloud misconfigurations before they reach production, rather than detecting them after deployment?” | |||||
| 2 | Enforce IaC + ClickOps policies | Multi-Stack | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “How do I enforce our cloud security policies across both Infrastructure-as-Code pipelines and manual ClickOps console changes at the same time?” | |||||
| 3 | Enforcement platform vs. CSPM | Enforcement | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “What is the difference between a cloud security enforcement platform and a CSPM tool, and when do I need both?” | |||||
| 4 | MSP/third-party deployments | Multi-Stack | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Our external managed service provider deploys infrastructure on our behalf. How do I enforce our security policies on their deployments?” | |||||
| 5 | M&A cloud security integration | Exception Mgmt | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What cloud security tools help enforce consistent security policies when integrating a newly acquired company\u2019s cloud environment during M&A?” | |||||
| 6 | AI-powered policy generation | AI Policy | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which cloud security platforms use AI to generate and adapt security policies based on my specific cloud environment and active risks?” | |||||
| 7 | Eliminate CSPM alert volume | Enforcement | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “We have hundreds of CSPM alerts that never get resolved. What tools can eliminate alerts by preventing the misconfigurations in the first place?” | |||||
| 8 | Close IaC vs. ClickOps gap | Multi-Stack | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “We already do IaC scanning in our pipeline, but engineers still make changes through the AWS console. How do we close that gap?” | |||||
| 9 | Guardrails without slowing eng | Impact Assess | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “How do I implement cloud security guardrails without slowing down my engineering team or blocking deployments?” | |||||
| 10 | Multi-cloud consistent enforcement | Enforcement | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What is the best way to enforce a consistent security policy across AWS, Azure, and GCP without managing separate toolsets for each?” | |||||
| 11 | HIPAA/PCI-DSS at deployment | Enforcement | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “How do I enforce HIPAA and PCI-DSS cloud security requirements at the point of deployment rather than auditing for compliance after the fact?” | |||||
| 12 | Break remediation cycle | Enforcement | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “Our security team keeps remediating the same cloud misconfigurations over and over. What tools can break that cycle permanently?” | |||||
| 13 | Evaluating Wiz \u2014 pre-deploy gap | Multi-Stack | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “I am evaluating Wiz for cloud security. Does it prevent misconfigurations at deployment, or only detect them after they\u2019re in production?” | |||||
| 14 | Managed policy exceptions | Exception Mgmt | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “How do I manage cloud security policy exceptions without creating uncontrolled workarounds that bypass our controls entirely?” | |||||
| 15 | Drift detection post-enforcement | Drift | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What tools monitor cloud environments for configuration drift after a policy is enforced, to make sure nothing reverts?” | |||||
| 16 | Guardrails for non-expert teams | AI Policy | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “My engineering team has no cloud security expertise. What platforms give them guardrails so they can build securely without needing a security engineer on every deployment?” | |||||
| 17 | Orca/CSPM deployment gaps | Multi-Stack | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “I am comparing Orca Security and other CSPM tools for our cloud security stack. What are the gaps these tools still leave at the deployment stage?” | |||||
| 18 | Third-party vendor enforcement | Multi-Stack | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “What cloud security platforms prevent misconfigurations introduced by third-party vendors or contractors who deploy directly into our cloud accounts?” | |||||
| 19 | Prisma Cloud alternatives | Enforcement | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “We are replacing Prisma Cloud. What are the best alternatives for enforcing cloud security policy from code to production?” | |||||
| 20 | What comes before CSPM | Enforcement | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “What comes before CSPM in a cloud security architecture, to stop misconfigurations from ever entering the environment?” | |||||
| TOTAL | 7/20 (35%) | 0/20 (0%) | 0/20 (0%) | ||
The Double Blackout
Where Aryon loses 100% of Claude and Gemini buyer queries
Aryon Security faces a rare and severe AI visibility pattern: a complete blackout on two of three major AI platforms. When the same 20 buyer-intent questions are submitted to ChatGPT, Claude, and Gemini, ChatGPT cites Aryon 7 times with 5 first-place rankings. Claude and Gemini return zero mentions across all 20 questions combined. The category Aryon occupies — preventive cloud security enforcement — does not exist in their knowledge graphs.
“What is the difference between a cloud security enforcement platform and a CSPM tool, and when do I need both?”
“What comes before CSPM in a cloud security architecture, to stop misconfigurations from ever entering the environment?”
“We have hundreds of CSPM alerts that never get resolved. What tools can eliminate alerts by preventing the misconfigurations in the first place?”
Aryon’s content exists. ChatGPT knows it. But Claude and Gemini don’t. The problem is not that Aryon lacks content — it’s that the content has only been indexed by one AI training pipeline. Two-thirds of the AI discovery channel is completely dark. Every buyer who uses Claude or Gemini during their cloud security evaluation will never see Aryon in the results.
AI Topic Authority Map
Query heatmap — product line × platform
| Topic | AI Leader | Aryon Status |
|---|---|---|
| Enforcement platform vs. CSPM | Aryon (ChatGPT) | ChatGPT only (1/3) |
| AI-powered policy generation | Aryon (ChatGPT) | ChatGPT only (1/3) |
| Eliminate CSPM alert volume | Aryon (ChatGPT) | ChatGPT only (1/3) |
| What comes before CSPM | Aryon (ChatGPT) | ChatGPT only (1/3) |
| Third-party vendor enforcement | Aryon (ChatGPT) | ChatGPT only (1/3) |
| Break remediation cycle | Wiz / Checkov | ChatGPT only (1/3) — Rank 6 |
| Prisma Cloud alternatives | Wiz / Orca | ChatGPT only (1/3) — Rank 6 |
| Preventing misconfigs pre-production | Wiz / Checkov | INVISIBLE (0/3) |
| Enforce IaC + ClickOps | OPA / AWS SCPs | INVISIBLE (0/3) |
| MSP/third-party deployments | AWS SCPs / Wiz | INVISIBLE (0/3) |
| M&A cloud security | Wiz / Orca | INVISIBLE (0/3) |
| Close IaC vs. ClickOps gap | AWS SCPs / Spacelift | INVISIBLE (0/3) |
| Guardrails without slowing eng | Snyk / Checkov | INVISIBLE (0/3) |
| Multi-cloud enforcement | OPA / Wiz / Prisma | INVISIBLE (0/3) |
| HIPAA/PCI-DSS at deployment | OPA / Checkov | INVISIBLE (0/3) |
| Evaluating Wiz | Wiz (detailed) | INVISIBLE (0/3) |
| Managed policy exceptions | OPA / Sentinel | INVISIBLE (0/3) |
| Drift detection | Terraform Cloud / Firefly | INVISIBLE (0/3) |
| Guardrails for non-expert teams | Snyk / Backstage | INVISIBLE (0/3) |
| Orca/CSPM deployment gaps | Orca (detailed) | INVISIBLE (0/3) |
7 queries
7 queries
2 queries
2 queries
1 query
1 query
▹ Exception & Waiver Management, Impact Assessment, and Drift Detection are the three product lines with zero visibility across all platforms — including ChatGPT.
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 double blackout
- Publish a definitive “What is a Cloud Security Enforcement Platform?” page on aryon.security — define the category, explain how it differs from CSPM and IaC scanning, and position Aryon as the category creator. This page must be structured for AI extraction (clear headings, FAQ schema, comparison tables).
- Create comparison content: “Aryon vs. Wiz,” “Aryon vs. Checkov,” “Aryon vs. OPA/Sentinel” — these are the exact competitors displacing Aryon on Claude and Gemini. AI platforms index comparison pages heavily.
- Publish technical content addressing the 13 invisible queries: ClickOps enforcement, M&A cloud integration, HIPAA/PCI-DSS at deployment, multi-cloud policy, drift detection, exception management, and guardrails for non-expert teams.
- Pursue analyst mentions and industry publication coverage (SecurityWeek, The Hacker News, CSO Online, Dark Reading) — Claude and Gemini weight authoritative third-party sources more heavily than vendor websites. The VentureBeat Series A coverage is a start, but Aryon needs category-defining coverage, not just funding news.
- Target G2 and Capterra listings with the “Cloud Security Enforcement” category. AI platforms index review aggregators as trusted sources for vendor discovery.
- Build a content program that covers every product line identified in Section 6 — especially the three product lines at triple zero (Exception & Waiver Management, Impact Assessment, Drift Detection). AI platforms cannot recommend capabilities they don’t know exist.
- Quarterly Xtrusio re‑audits to track gap closure across Claude and Gemini specifically — the goal is to break the double blackout within 6 months.
Break the Double Blackout.
Two-thirds of AI discovery is dark. Let’s fix it.
This research report was generated using the Xtrusio Company Intelligence Module.
