Discovery
Explore relevant prompts by product, audience and market. Compare mentions, cited sources and competitors across ChatGPT, Perplexity, Gemini, Claude, Copilot and Google AI experiences.
Glinsen Visibility uses Naridon to analyse your presence in AI answers, improve content and track impact. From buyer prompts and competitive insights to Autopilot and reporting on visits and orders.
Area: Skyclar Sales
Capabilities
Glinsen Visibility combines Naridon’s platform with Skyclar setup and guidance, creating a practical workflow from discovery to measurable content improvement, particularly for e-commerce.
Explore relevant prompts by product, audience and market. Compare mentions, cited sources and competitors across ChatGPT, Perplexity, Gemini, Claude, Copilot and Google AI experiences.
Identify content gaps and prepare product-page, FAQ, article or structured-data improvements. Review and approve changes for supported shop integrations.
Review AI-related visits, orders and revenue contributions. Before-and-after reporting helps assess progress following content changes.
Ask questions about your visibility data, explore actions and prepare content suggestions for Autopilot, connecting insight with the next task.
Shopify, WooCommerce and Shopware, plus API and webhook connections according to project scope. Agencies can explore multi-client environments and white-label reporting.
Working together
Agree products, markets and relevant buying situations.
Track mentions, sources and competitive position.
Review suggestions and approve suitable changes.
Monitor visibility and attributable business outcomes.
The technology foundation is Naridon. We agree features, shop connections and approvals. Whether and how an AI system mentions your brand depends on that system and the query.
IN PRACTICE
A relevant use case for Glinsen Visibility.
E-commerce · AI visibility
PLANNING YOUR PROJECT
What do you need to achieve, what is already in place and what output does your team need? These questions define a useful starting point.
AI visibility starts with the questions for which your offer should be relevant. Together we consider products, audiences, languages and typical buying decisions. Discovery examines configured queries and shows how brands and sources appear in the answers observed. This is a defined monitoring scope, rather than a complete record of every question across all AI systems. Query selection and subsequent changes need to remain understandable, so teams can distinguish a change in visibility from a change in what is being monitored.
Autopilot and Nari can support content work and interpretation. The practical question is whether product information is accurate, understandable and useful for a particular enquiry. Subject matter, brand style and approvals need to be considered before publication. Shop connections are relevant when product data forms part of the agreed setup. Agencies and partners can explore suitable reseller or white-label arrangements. Available functions, allowances and integrations are defined through the specific Naridon offer and the agreed operating model, rather than assumed to be identical for every customer.
A mention in an AI answer is not a visit, and a visit is not an order. Attribution examines measurable visits and, where configured, orders or revenue contributions through the measurement setup. Data gaps, attribution rules and the observation period affect interpretation. We therefore establish early which questions reporting should answer and what data is available. Bring your website or shop, priority offers, relevant markets and current measurement tools to the first discussion. No specific ranking position or fixed increase in revenue is guaranteed.
Our first conversation establishes the scope of your project. You do not need a finished specification. A short description of the task, a preferred timeframe and the question currently holding you back are useful starting points. We can then decide whether an assessment, workshop, specific enquiry or pilot is appropriate. A proposal sets out the agreed scope, the input required from your team and the next steps. Decisions about extending the work are based on what we learn, keeping the initial engagement focused and understandable.
Good to know
We first agree access, approvals and the level of automation. Content changes can be reviewed before implementation.
No. The platform helps you understand visibility and improve content systematically. Responses from external AI systems cannot be guaranteed.
Mentions and sources are tracked for configured prompts, markets and AI systems. They do not cover all AI searches. Visitor and revenue data are assessed separately using the configured tracking.
Mentions indicate presence in the answers observed. Visits, orders and revenue contributions rely on a separate measurement setup. These views are assessed separately so visibility is not mistaken for actual purchases.
Agencies can explore reseller and white-label arrangements. We define branding, customer support, access and scope. Available functions and allowances follow the specific agreed offer.
Costs depend on the agreed assessment and setup, services or modules, interfaces and ongoing support. After clarifying your needs, we provide a proposal covering the specific scope and commercial terms.
Glinsen Visibility
Tell us about your challenge. Together we will find the right starting point.
Discuss your project hello@skyclar.com