ChatGPT ignores Secomea on 68% of buyer queries.
Claude doesn't. That gap is the problem.
An independent 25-query audit of Secomea's visibility in AI-powered search platforms. We tested the exact questions OT Security Managers, Machine Builder Service Directors, and Manufacturing IT Leaders ask when evaluating secure remote access solutions for industrial environments.
Secomea is nearly invisible on the two platforms that matter most to buyers: ChatGPT and Gemini.
When an OT Security Manager asks ChatGPT "What are the leading OT-specific secure remote access platforms?" — eWON, IXON, and Tosibox get named. Secomea appears on only 32% of queries. Yet on Claude, Secomea is cited 68% of the time — often in the #1 position. The content exists. The proof points are there. But ChatGPT and Gemini don't know it. Every buyer who starts their research on those platforms — and most do — is starting without Secomea in the conversation.
Methodology
How we conducted this Xtrusio AEO/GEO Audit
This assessment combines Semrush AI Visibility data with manual buyer-intent testing across AI platforms to reveal the real competitive landscape for Secomea — going beyond automated scores to test what OT decision-makers actually ask when they're evaluating solutions during discovery.
Why Semrush AI Visibility Fails for Niche OT/ICS
Automated scores hide what buyers actually see
Semrush AI Visibility gives secomea.com a score of 23/100 (Low) — with 74 mentions and 148 cited pages. That sounds like a solid foundation. But when you look at what Semrush is actually tracking, the picture changes dramatically. The top tracked topic is "Secomea Site Manager" — a product name query, not a buyer discovery query. For a niche B2B OT vendor, automated visibility scores conflate product-aware searches with buyer-intent discovery. They are not the same thing.
| Domain | Semrush Score | Monthly Audience | Mentions | Xtrusio Citation (ChatGPT) | Xtrusio Citation (Claude) |
|---|---|---|---|---|---|
| secomea.com | 23/100 | 214K | 74 | 32% | 68% |
| hms-networks.com (eWON) | 28/100 | 23.9M | 3,400 | To test | To test |
| ixon.cloud | 26/100 | 228.2K | 72 | To test | To test |
| tosibox.com | 19/100 | 6.6K | 47 | To test | To test |
Semrush gives secomea.com a score of 23/100 (Low) — with a monthly audience of 214K and 74 mentions. But the Topics view reveals the problem immediately: the #1 tracked topic is "Secomea Site Manager" with a visibility score of 81 and 124 AI volume prompts. These are product-awareness and technical support queries from people who already know Secomea. None of the top Semrush-tracked topics reflect the buyer-intent discovery questions that actually drive new pipeline. The automated score is inflated by existing customers and integration queries, masking a 68% invisibility rate on the questions that matter for new business.
The competitor benchmark reveals a striking irony: eWON (hms-networks.com) scores 28/100 — the highest in the group — yet has 23.9M monthly audience and 3.4K mentions, driven by its massive HMS Networks industrial networking brand. IXON Cloud scores 26/100 with 228.2K audience. Tosibox scores the lowest at 19/100 with just 6.6K audience. All score "Low" — yet Semrush's automated scores tell us almost nothing about who actually appears when an OT buyer asks a purchase-intent question on ChatGPT. Secomea's 23/100 score is the second-lowest in the group, but its 68% Claude citation rate shows the content quality is genuinely strong. The gap is in ChatGPT and Gemini distribution, not product substance.
Semrush AI Visibility is a directional signal — not a buyer-intent metric. This is why we use Xtrusio's buyer-intent methodology to test what real OT decision-makers actually ask during the discovery phase of a purchasing cycle.
Platform Scorecard
Who wins the OT buyer's attention — platform by platform
We tested 25 buyer-intent queries across ChatGPT, Gemini, and Claude. The divergence is stark: Secomea is a top-tier recommendation on Claude (68%), but nearly invisible on the two platforms where most buyers start their research — ChatGPT and Gemini (both 32%). When cited, Secomea's average rank on Claude is 1.6 — meaning it's consistently near the top of the recommendation list. The problem is the citation rate, not the positioning quality.
These 6 topics are Secomea's "universal citations" — the areas where your content is strong enough to penetrate all three AI platforms. They cluster around compliance credentials (IEC 62443), legacy equipment support, and direct OT-vs-IT differentiation. These are the content anchors to build from.
The ChatGPT Gap
Where Secomea goes invisible during the most critical discovery moment
When an OT Security Manager asks ChatGPT about vendor access governance, Zero Trust for OT, or Cyber Resilience Act compliance — Secomea doesn't appear. Not because it doesn't have the answers. Because ChatGPT doesn't know Secomea has the answers.
"As a manufacturer, how do I ensure I can approve, monitor, and revoke third-party vendor remote access to my production lines in real time?"
This is Secomea's most commercially differentiated use case — real-time approve/deny/revoke for third-party OT vendor access. It's in the product. It's in the documentation. Claude knows it. But across all 4 Vendor Access Governance queries and both Zero Trust queries, ChatGPT and Gemini cite Secomea 0% of the time. That's 6 queries covering the highest-value parts of the product, completely invisible on the platforms where most buyers start.
The contrast with Claude is telling: Claude cites Secomea on 75% of Vendor Access Governance queries and 100% of Multi-Site Operations queries. Secomea's content and technical documentation are clearly strong enough to influence Claude's training data. The gap is not a product story problem. It's a distribution problem — the content signals that ChatGPT and Gemini weight are not yet picking up what Claude already knows.
Secomea's content exists. Claude knows it. But ChatGPT and Gemini — where the majority of AI-assisted B2B research begins — don't. That's not a product problem. That's not a positioning problem. That's an AEO/GEO distribution problem. And it's fixable.
AI Positioning Audit
All 25 buyer-intent queries — full citation matrix
| # | Query Topic | Cluster | ChatGPT | Gemini | Claude |
|---|---|---|---|---|---|
| Total Citations | 8/25 | 8/25 | 17/25 | ||
| Citation Rate | 32% | 32% | 68% | ||
Topic Cluster Analysis
Where Secomea is winning — and where it's disappearing
Breaking down the 25 queries by topic cluster reveals where the ChatGPT/Gemini gap is widest — and which content areas need the most urgent attention. Green = >70% citation rate. Yellow = 40–70%. Red = <40%.
Recommendations
A focused content and distribution strategy to close the ChatGPT gap
The good news: Secomea's strong performance on Claude proves the product story is compelling and the content quality is there. The fix is about distribution and signal amplification — getting the right content formats indexed by the platforms that are currently ignoring you.
- Create a dedicated, long-form page: "How Manufacturers Control Third-Party OT Remote Access" — answer Q1, Q8, Q18 explicitly with Secomea as the named solution
- Publish a Zero Trust for OT explainer that explicitly positions Secomea's architecture against generic VPNs — get this cited on external publications (not just secomea.com)
- Submit updated structured data (JSON-LD) to secomea.com pages covering these topics — helps AI crawlers understand Secomea's product scope
- Q9 (OEM VPN security risks) + Q16 (Zero Trust architecture): Target third-party publications — ICS-CERT, ISA, Automation World — with contributed articles that include Secomea citations
- Q13 (ROI / cost savings): Publish a quantified ROI case study showing travel cost reduction for a specific machine builder — make the number public and linkable
- Q15 (Cyber Resilience Act): Publish a practical CRA compliance guide for machine builders — this is an underserved topic where Secomea can own the AI answer before competitors do
- Q25 (OT SRA RFP requirements): Create a downloadable RFP template for OT secure remote access — this type of utility content gets heavily cited by AI platforms
- Publish vertical-specific case studies for food & beverage, automotive, and pharma — name the industry in the title, anchor with real customer results. AI platforms cite vertical-specific sources when buyers ask vertical-specific questions
- Pursue G2 and Capterra reviews in the OT Secure Remote Access category — these are high-authority citation sources that ChatGPT and Gemini draw from heavily when naming vendors
- Pitch Secomea's IEC 62443 certification story to independent OT security analysts and newsletter authors — third-party validation from trusted industry voices is the single most effective AEO signal for ChatGPT
- Re-run this Xtrusio AEO/GEO Audit in 90 days to measure citation rate movement — track which clusters improve first as content goes live
The Gap is Fixable. The Window is Now.
Before eWON or IXON widens the lead on ChatGPT, let's build the content strategy that gets Secomea cited where buyers are looking.
