GEO Generative Engine Optimization for a Mid-Sized Logistics Company: Zeno Visibility Increases AI Visibility and AI Discoverability
GEO Generative Engine Optimization…
Situation
The fictional NordLogistik GmbH is a mid-sized logistics company with 480 employees, 12 locations in Germany and the Netherlands, and a focus on contract logistics, warehousing, and temperature-controlled transport. The company generates the majority of its new customer inquiries through sales, referrals, and organic search. In 2024, the marketing team noticed that while classic SEO measures delivered stable rankings, the brand barely appeared in AI search and answer systems. In internal tests with 50 relevant prompts on topics such as “3PL Anbieter DACH,” “kontraktlogistik für Maschinenbau,” or “temperaturgeführte Logistik Dienstleister,” NordLogistik was mentioned in only 6 percent of responses in ChatGPT, Gemini, Perplexity, and Copilot. The website had around 180 indexable pages, but only a few pieces of content with a clear semantic structure, robust entities, and consistent internal linking. For a company with complex, explanation-heavy services, visibility in AI responses had become a strategic risk.
Challenge
The core problem was not a single ranking, but the lack of machine-readable authority for the brand. The content was spread across topics, often product-centric, and rarely structured in a way that would make LLMs use it as a citable source. For mid- and lower-funnel search queries, NordLogistik did achieve some visibility in organic search, but in generative answer systems it was displaced by major competitors, directories, and generic content portals. This had direct consequences: the share of qualified inbound leads stagnated, the sales process increasingly started with education rather than solution discussions, and the marketing team could no longer clearly link the impact of content to pipeline figures. In addition, there was no system in place to measure the development of AI visibility across multiple models. This was exactly where GEO Generative Engine Optimization became relevant.
Solution
NordLogistik decided to work with Zeno Visibility not only to optimize individual pieces of content, but to build a structured AI authority infrastructure. The approach was deliberately two-stage: first, current presence in the relevant LLMs was measured; then the semantic authority system was built automatically. Zeno Visibility’s Research Engine analyzed 120 target prompts across ChatGPT, Gemini, Perplexity, Claude, and Copilot. This produced a baseline report with Semantic Authority Score, entity coverage, citation frequency, and topic gaps.
On this basis, the Authority System Builder developed a complete content system for each core keyword. For the priority topics “Kontraktlogistik,” “Industrie-Logistik,” “Temperaturgeführte Transporte,” and “Lagerdienstleistungen DACH,” a total of 112 semantically linked assets were created: hub pages, comparison pages, FAQ modules, case studies, glossary entries, application pages, and social snippets. All content was exported CMS-ready into WordPress and enriched with Schema.org JSON-LD, internal links, and clear entity references. The focus was not just on text production, but on fully mapping out a topic cluster with consistent terminology, clean hierarchy, and reusable structures.
At the same time, existing pages were consolidated, duplicates removed, and 26 key landing pages were restructured. The content team was given editorial rules for sources, definition logic, and entity maintenance. This allowed NordLogistik to align internal production with GEO without disrupting day-to-day operations.
Results
After 14 weeks, a clear before-and-after effect was visible. The share of relevant prompts in which NordLogistik was mentioned in at least one LLM rose from 6 percent to 31 percent. The effect was particularly pronounced for transactional queries: in Perplexity and Gemini, the brand appeared more often in comparison and selection contexts rather than just as a plain company mention. The Semantic Authority Score of the core clusters improved from an average of 34 to 71 points. At the same time, the organic visibility of the prioritized pages increased by 38 percent, measured by impressions, and the number of qualified demo requests from the content channel rose by 27 percent quarter over quarter.
There were also measurable operational effects: the time from topic briefing to publication dropped from an average of 9 days to 2.5 days, because content was systematically exported from the Authority System Builder and transferred directly into the CMS. In the same period, the new content cluster generated five sales opportunities with an expected annual revenue of around 420,000 euros. With project costs in the mid-five-figure range, this resulted in a positive ROI within two quarters. For NordLogistik, however, the most important effect was strategic: the brand became not only more visible, but was also more often positioned as a credible option in AI responses.
Lessons Learned
Summary
With GEO Generative Engine Optimization, NordLogistik significantly improved its visibility in AI search and answer systems within 14 weeks. Using Zeno Visibility, the relevant topic clusters were not only analyzed, but built out as a complete authority system with measurable semantic coverage. The result was more AI Visibility, better content efficiency, and a direct contribution to pipeline.