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AI Visibility Scorecard

TELOM AI

TELOM AI

Unclaimed

telom.ai · Technology

Somewhat visible. AI bots can read TELOM AI, but it is missing the structured signals that push citation rate above competitors.

AI engines read this profile 7 times

Apple Intelligence · ChatGPT · Claude · Meta AI

#755,539 of 2,657,826 in Technology for AI visibility

5

AEO Visibility

i

Borderline · 5.1/10

65

Muse Index Score

i

AI agent readiness

Agent-ready · 65/100

0

AI Adoption

i

None detected · 0/100

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About TELOM AI

from our crawl and measurement

TELOM AI describes itself simply: "TELOM AI designs and implements Human-AI Operational Systems for enterprise stability, organizational resilience, and intelligent coordination." To AI engines like ChatGPT and Perplexity it is partially visible, scoring 5.1 out of 10, readable in places and missing in others.

On the page itself the strengths are clear: structured data describing the business, a clear heading structure, visible credibility markers, crawler access and the files AI engines look for and sitemaps and entity links AI can follow. It is passable on a partly stated business identity.

Off the page there is only faint evidence that only a handful of sites link to it. Beyond that, the domain does not yet read as established, AI engines do not yet recognise it as a distinct business, there is no press coverage to draw on, nobody is discussing it where AI engines look and it does not come up on Reddit. Those are earned elsewhere on the web, not fixed on the site itself.

AI crawlers have visited 3 times in our tracking, including GPTBot (ChatGPT) and ClaudeBot (Anthropic). The site links to no social profiles, so there is nothing tying the brand to a wider presence.

Industry · Technology
Last scored · Jul 31, 2026

The 6 signals AI reads

Higher is better · 0-10

Structured Data

9

Organization / LocalBusiness JSON-LD that AI can read.

Content Structure

10

Clear headings and answer-style content.

Entity Clarity

6

How clearly your brand identity reads to AI.

E-E-A-T Signals

Experience, Expertise, Authority, Trust

9

Experience, Expertise, Authority, Trust markers.

Technical AEO

9

robots.txt, llms.txt, and AI-bot crawl access.

AI Discoverability

7

Sitemaps and entity links AI can follow.

Off-page authority

How the web signals your brand to AI

Backlinks

1

Inbound links from other sites.

Domain Authority

0

Little domain authority yet.

Reference Presence

0

Not in AI knowledge graphs yet.

News & Press

0

No press coverage found yet.

Community

0

No community discussion yet.

Social Mentions

0

No social discussion found yet.

What this score means

Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 5.1/10, TELOM AI has a working base to build on - fixable, and the signals above are where to start.

Frequently Asked Questions

What are Human-AI Operational Systems?

Human-AI Operational Systems are integrated architectures where human decision-making and artificial intelligence operate as a unified layer within enterprise workflows, enabling organizational resilience, intelligent coordination, and measurable stability across all business functions.

How do Human-AI Operational Systems differ from traditional AI tools?

Traditional AI tools are adopted in isolation, a chatbot here, an automation there. Human-AI Operational Systems take a systems-thinking approach, embedding AI into the operational architecture itself so that human expertise and machine intelligence work as one coordinated layer, rather than disconnected point solutions.

What is organizational resilience in the context of AI operations?

Organizational resilience is the structural capacity of a business to maintain operational coherence through disruption, scaling, and systemic change. It is achieved through deliberate AI architecture rather than reactive tool adoption, ensuring stability compounds as the organization grows.

What is the TELOM 90-Day Implementation Framework?

The TELOM 90-Day Implementation Framework is a structured engagement consisting of four phases: Diagnosis (Days 1-15), System Design (Days 16-45), Implementation (Days 46-75), and Optimization (Days 76-90). It transforms organizational chaos into stable, human-centric AI governance with measurable outcomes.

Who founded TELOM AI?

TELOM AI was founded by Dimitris Tselios, a business strategist and entrepreneur with over 30 years of experience in operations, transformation, and international business environments. He is a Former Instructor at the University of the Aegean and Advisory Board Member of the R-map Project (Horizon Europe).

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Picked for TELOM AI: How-To

How to Get Your Brand Cited by ChatGPT, Gemini, and Claude: The Complete AEO Guide

The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.

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Source & Attribution

Scored by Engagemii on July 31, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/telom-ai

Cite this score: Engagemii (2026). "AEO Score for TELOM AI." Retrieved from https://engagemii.com/aeo/brands/telom-ai

Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.

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