What does
ChatGPT say about you?
AI search systems now shape what your market believes: what appears credible, what gets ignored, and which sources are repeatedly trusted. I map what answer engines currently infer, where trust breaks, and what should be fixed first.
Author: Zoltan Varga · Updated: 2026-03-23
AI visibility means your company appears in generative search with accurate context and citation-ready structure. In practice, technical signals, structured knowledge, and trust assets must operate as one decision system.
- What does AI currently see about you?
- Which sources are trusted and cited?
- What should you improve first?
- Baseline scan: current AI visibility.
- Prioritization: highest business-impact fixes.
- Execution: measurable improvement with feedback loops.
AI does not automate first. It amplifies first.
If your decision architecture is clear, it scales clarity. If it is fragmented, it scales distortion.
This is not branding language. This is operating reality.
What you index, you become.
Only if you know what you index and why.
Context decays. Thinking endures.
Creativity is still the dividing line.
Core questions about AI visibility
What is AI visibility? +
AI visibility is your ability to appear in generative AI answers with accurate context, credible framing, and citation-ready structure. It is not just rank position. It is trust quality in machine-mediated discovery.
Who is AI Scorecard for? +
It is for leaders, expert brands, and B2B teams that want to understand how AI systems currently represent them, where trust gaps exist, and which fixes produce the fastest business impact.
How does the audit process work? +
We start with a rapid baseline, then evaluate structural, content, and trust signals. The output is a prioritized roadmap showing what to improve first for answerability, credibility, and measurable gains.
How quickly can results appear? +
Initial technical and structural improvements can become visible within weeks. Durable improvement usually appears across multiple cycles as AI systems absorb and re-rank updated context.
How much does it cost? +
The entry point is the free AI Scorecard. From there, deeper diagnostic, monitoring, and strategy packages scale based on your current maturity and growth goals.
What is the best next step? +
Start with AI Scorecard, then move from report to execution priorities. If needed, a short consultation can define your first 30-day action sequence.
Where would you start?
AI Visibility
What does AI currently see?
Scorecard, Diagnostic, Monitoring, and monthly strategic operations. A full pipeline to measure, improve, and sustain AI visibility quality.
Start with Scorecard <>Research and Strategy
Evidence over opinion
Field-intelligence decomposition and synthesis. Research reports, pattern recognition, and blind-spot audits for executive decision quality.
Explore research @Attention and Leadership
Clear attention, better decisions
Neural Awareness programs strengthen attention architecture, decision protocols, and leadership clarity in AI-accelerated contexts.
Explore Neural AwarenessFour steps from opacity to position
01
Scorecard
Free
Rapid baseline: how AI systems currently represent you. Immediate report.
View details02
Diagnostic
99 900 Ft
Deep diagnostic report: citation gaps, trust signals, and structural priorities.
View details03
Radar
198 900 Ft/hó
Continuous monitoring with monthly reporting, competitor context, and signal drift tracking.
View details04
Engine
489 900 Ft/hó
Premium monthly execution cycle: monitoring, priorities, and implementation support.
View detailsI have built systems for 35 years. In the last decade, I focused on one thing: people should not lose themselves while using them.
AI amplifies. It scales what already works and exposes what is missing. Every system mirrors the architecture of its builder. That is why I start with attention, then tools.
The Attention Engineer
One weekly research note on AI visibility, decision systems, and attention architecture. Short, evidence-based, and practical.
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See what ChatGPT says about you at no cost.
AI Scorecard shows your current AI visibility profile with concrete signal quality indicators. Immediate report, zero risk.
Who is this for, and what is next?
This service is designed for B2B organizations, expert brands, and decision-makers who need a clear view of AI visibility quality, missing trust signals, and the most effective next improvements.
The practical next step is simple: run the Scorecard or start a short consultation. From there, we define realistic priorities for the first 30 days.
What does this mean in business terms?
In operational language: this is an AI visibility system built around positioning, offer structure, trust signals, partner references, and execution sequencing. It is designed for teams where credible AI presence is already a market expectation.
Outcomes: stronger citation probability, higher trust quality, faster improvement loops, and more stable growth in markets where AI answer interfaces shape buying decisions.
After the GEO/LLMO audit we finally saw where trust signals were breaking. The prioritized plan produced measurable movement within the first month.
Rating: 4.9 / 5
The diagnostic was not generic SEO advice. It was a decision map: what this means, why it matters, and what to execute next.
Rating: 4.9 / 5
Execution-oriented improvement matrix
- Rapid audit: what is missing, where trust signal chains break.
- Prioritization: which fixes create the highest 30-day impact.
- Execution: content, structural, and technical improvements tied to real KPIs.