
SEO & AI-Visibility Consulting for B2B Tech and Industry
SEO & AI Visibility Consulting
KIBereit is the AI Visibility and SEO unit of Venedix Systems. We help organizations understand how AI models describe, mention, and cite their brand across key topics — and improve that presence and model's perception through actionable recommendations with SEO, AI SEO, and technical SEO strategies.
We treat AI visibility not as a dashboard metric, but as a service built on strong search foundations, proprietary intel provided by our tools, and our experience in SEO.
ContactIs your brand visible to AI?
See what AI search engines actually think about your website. Run a quick check with our internal tool, Tree Walker, to see if your business shows up in AI answers and get simple tips to make it more visible.
Run a free analysisAI Visibility · AI SEO · SEO Strategy · Technical SEO · Entity & Topic Mapping · AI Citations
AI Visibility
AI SEO or GEO is a new discipline of Digital Marketing, so new that the name itself is not yet established.
At Venedix, we start our process with the AI Discovery Phase. The first step in the Discovery is comparing how an AI model's knowledge base perceives your brand vs. the grounded results. It is important to distinguish between the two because AI models first look at the knowledge base and then verify their findings against internet results. This process is called grounding.
The process continues with analysis from a set of proprietary DEJAN AI tools that help us test brand perception from multiple angles and at scale to get statistical relevance. The goal is to collect data on a brand's association and relevance confidence with important entities (keywords, categories).
As the last step, AI citations are collected at scale. Models are prompted with hundreds of different prompts relevant to a client's entities; data is collected on how many times a client's website is used as an AI citation in comparison to the competition. Each part of the text that was used for the answer is collected and recorded. This data is valuable for multiple reasons: measuring client strength in AI responses, identifying gaps in the client's relevance, comparison to competitors, learning the content and context preferred by AI, and learning preferred webpages for each niche. With this vast data collection, we are set for the AI Strategy Phase.
AI Citations · Brand Recall · Competitive Presence · Sentiment Signals · Monitoring & Reporting
AI Strategy
The AI Strategy connects SEO, AI SEO, and technical SEO into one roadmap: improving crawlability/indexation and content structure first, then strengthening topic coverage and brand/entity signals, and finally targeting the sources that AI models actually ground on. Depending on your needs, outcomes range from a prioritized technical backlog and content specifications to AI citation opportunities (where your brand should be cited/mentioned), to an AI visibility strategy deck and supporting documentation—all tracked with dedicated monitoring and analysis tools.
Measurement & Ongoing Improvement
AI visibility is only useful if it can be measured, validated, and improved over time. We set up ongoing tracking across priority topics and queries, watching how AI models' outputs shift: brand recall, accuracy of descriptions, competitor inclusion, and citation patterns. We cross-reference changes with SEO performance signals (indexation, rankings, traffic patterns, content performance) to separate noise from true movement—especially in periods where AI-driven SERP features influence click-through behavior.
Latest Articles
Expert articles and analyses from our team
Other Units
Discover our other consulting units
Ready for AI Visibility?
Contact us for a non-binding consultation about your SEO and AI visibility projects.
Contact