Your Fast-Track to Machine-Readability
We are currently accepting 3 new SME pilots for this quarter. Stop fighting for search rankings and start owning the answer in the Zero-Click Economy.
No contracts. Clear verdict. Actionable next steps.
10 Hours to Structural Clarity
AI visibility isn't achieved through bulk content, but through surgical architectural sequence and discipline. Our Pilot Program is a fixed-scope engagement designed to transform your organization's highest-value knowledge assets into a machine-readable "Truth Layer" that AI models can prioritize.
Audit Phase
We perform a forensic diagnostic to identify exactly where AI systems are currently misinterpreting or ignoring your brand.
Serialization Phase
We implement high-density JSON-LD and unique QID identifiers to anchor your entities to the global knowledge graph.
Verification Phase
We use dual-layer prompt monitoring to provide empirical evidence of your improved citation share and recall.
Investment Based on Entity Density
Because every organization has a unique "Entity Footprint," we do not offer generic pricing. Instead, we use a PriceSpecification model based on the complexity of your knowledge graph and the number of primary nodes required for retrieval.
- Price Type: Custom Pilot.
- Standard Included: Full architecture for up to 5 core business entities.
- Governance: Includes the initial setup of your Entity Registry and basic monitoring for 30 days.
- Certainty: We provide a guaranteed “Machine-Readability Certificate” upon completion of the 10-hour implementation standard.
3 Steps to Securing Your Slot
Application
Brief us on your core services and current visibility challenges to ensure fit.
Diagnostic
We run an initial scan to confirm the "Entity Gaps" that are costing you citations.
Deployment
Our technical team executes the 10-hour architecture sprint to install your Truth Layer.
You don’t buy visibility. You buy customers.
- AI Visibility Audit (where and how you appear today)
- Brand Mention Strategy (what AI should say about you)
- Citation Optimization (so AI repeats your name correctly)
- Competitive Visibility Map (who AI prefers today)
- Baseline Monitoring (so progress is measurable)
Daniel Ovidiu Banica
CEO @epoint and @marketos
the enterprise methodology
Powered by an enterprise-grade AI visibility framework
Brand visibility inside ChatGPT, Gemini, and Perplexity does not happen by chance. It requires a level of precision that goes far beyond traditional SEO or content marketing.
Behind this service sits AIVIS-OS (www.aivis-os.com), an advanced framework and operating system designed specifically for how large language models discover, interpret, and reuse information. While clients experience simple outcomes—being mentioned, trusted, and chosen—the underlying methodology is built on deep analysis of how AI systems crawl websites, identify brands, and decide what information is safe to cite. This includes modeling brands as structured entities, connecting them through verified relationships, reinforcing claims with evidence, and ensuring consistency across clusters of content.
You don’t need to understand entities, knowledge graphs, or AI indexing mechanics to benefit from them. What matters is that the methodology is rigorous, repeatable, and engineered for how AI systems actually work today. This depth is what separates temporary visibility from durable, compounding presence inside AI-generated answers.
AI Visibility Methodology
The offer
We’ve simplified the technical complexity into four actionable components for your business:
System Logic: Moving Beyond Theory
AI is the new gatekeeper. We move you from "what" to "how," applying the frameworks that have secured citations for global leaders in the zero-click economy.
Outcome: Capturing Answer Share
Traditional SEO is failing for technical topics. While others chase vanishing clicks, we help you capture the "Answer Share" through extractable architecture.
Standard: Establishing Your Truth
Every day you wait is a day an AI model learns a version of your brand that might be wrong. Start building your "Entity Registry" now to ensure your truth sticks.
Talk to Our AI Visibility Expert
Effective AI visibility is more than just technology –
It's about understanding entities, knowledgeGraphs, Retrieval and Clusters.
Daniel Ovidiu Banica
CEO @epoint and @marketos
Any questions?
Quick answers to frequently asked questions about AI Brand Visibility
Here you find answers to the most common questions about our AI automation services. If you need more details, don't hesitate to contact us.
Haven't found your answer?
What is the Aivis OS 10-Hour Pilot?
The Aivis OS Pilot is a high-intensity, fixed-scope engagement designed to install a “Truth Layer” for up to 5 core business entities. Unlike open-ended consulting, this 10-hour sprint delivers a tangible asset: a fully deployed, machine-readable Knowledge Graph that is verified by forensic prompting.
Why use a "Custom Price Specification"?
Every organization has a unique “Entity Footprint.” A local service business has a simpler graph than a multinational enterprise. Therefore, we use a PriceSpecification model based on Entity Density—the complexity and number of primary nodes required for retrieval—rather than a flat fee. This ensures you pay only for the architecture you need.
What is the "Machine-Readability Certificate"?
Upon completion of the pilot, we issue a “Machine-Readability Certificate.” This is a technical validation report confirming that your core entities pass the “Structured Data Testing Tool” validation and are correctly resolving to unique QIDs in live AI environments (ChatGPT, Gemini).
