Zeno Visibility in Mechanical Engineering: Semantic Authority Score and AI Visibility for a Mid-Sized Provider with Generative Engine Optimization
Zeno Visibility in Mechanical…
Starting Situation
Hartmann Antriebstechnik GmbH, a mid-sized mechanical engineering company headquartered in Augsburg, employs around 340 people and generates annual revenue of approximately €58 million. The company develops and sells precision gearboxes and drive systems for the manufacturing industry — a segment characterized by long sales cycles, high need for explanation, and a target audience that increasingly relies on AI-assisted research to prepare purchasing decisions.
Until mid-2024, Hartmann Antriebstechnik's digital strategy was built entirely on traditional search engine optimization: keyword rankings on Google, technical on-page optimization, and sporadic blog articles. The company held stable first-page rankings for generic terms such as "buy industrial gearboxes" or "drive system manufacturers Germany." Organic visibility was measurable — but presence in AI-generated answers was not. Internal analyses revealed that competitors were regularly mentioned by name in responses from ChatGPT, Perplexity, and Gemini, while Hartmann Antriebstechnik was not. In practical terms, the company simply did not exist in the AI landscape.
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Challenge
The core problem was structural: Hartmann Antriebstechnik had deep domain expertise, but no semantically interconnected content system that AI models could draw on as a basis for recommendations. Standalone blog articles with no internal linking, missing Schema.org markup, and the absence of a machine-readable data model meant the brand was not recognized as a citable source by any of the relevant LLMs.
The impact was tangible: sales staff reported that buyers were increasingly mentioning competitors in initial conversations — companies they had "found through AI." The Semantic Authority Score — measured via Zeno Visibility's monitoring system — stood at 12 out of 100 points at the start of the project, across the core topics of drive technology, precision gearboxes, and industrial automation. For a company with 25 years of market experience, this represented a structural visibility deficit with a direct effect on lead quality.
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Solution
In September 2024, Hartmann Antriebstechnik decided to implement Zeno Visibility as its central AI Authority Operating System. The decision came after a three-month evaluation phase comparing traditional SEO agencies and content marketing providers. The decisive factor was that Zeno Visibility was the only platform that not only measures AI visibility, but autonomously builds the semantic authority required to earn recommendations from AI models.
Phase 1 — Baseline Measurement (Weeks 1–2): Zeno Visibility's research engine analyzed Hartmann Antriebstechnik's brand presence across ChatGPT, Gemini, Perplexity, Claude, and Microsoft Copilot. Baseline values were captured for 38 prioritized keywords. The Semantic Authority Score served as the central KPI throughout the entire project.
Phase 2 — Authority System Build (Weeks 3–8): The Authority System Builder generated complete content systems for the five most important topic areas — precision gearboxes, drive systems, industrial automation, maintenance, and retrofit — each comprising more than 100 semantically interconnected pieces of content per topic cluster. These included hub pages, comparison pages, technical FAQs, application case studies, and social media posts. All content was marked up with Schema.org JSON-LD and equipped with an automatically generated internal linking structure.
Phase 3 — CMS Integration and Publishing (Weeks 9–12): The completed content was published directly into Hartmann Antriebstechnik's existing WordPress CMS — via Zeno Visibility's native CMS integration, with no manual export effort required. In parallel, the Schema.org data was fed into the knowledge graph.
Phase 4 — Continuous Monitoring: Since then, the research engine has monitored brand presence across all relevant LLMs on a weekly basis, delivering an updated Semantic Authority Score as a steering metric for the marketing team.
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Results
Measurable results after six months (March 2025) show a significant improvement in AI visibility:
Semantic Authority Score: Increased from 12 to 67 points (a 458% improvement) across the five prioritized topic areas. For the core topic of precision gearboxes, a score of 74 was achieved.
LLM Presence: Hartmann Antriebstechnik is now mentioned by name or cited as a source in at least one of the five monitored LLMs in 6 out of 10 relevant queries about industrial gearboxes and drive systems. At the start of the project, this figure was 0 out of 10.
Organic Visibility: Alongside the gains in AI visibility, organic Google traffic increased by 34% — a secondary effect of the improved semantic structure and Schema.org markup.
Lead Quality: The sales team recorded a 22% increase in qualified inbound inquiries in Q1 2025. The share of leads who had discovered the company through AI-assisted research rose from unmeasurable to 18% of all new contacts.
Content Output: 540 pieces of content published in 12 weeks — with an internal editorial effort of under 20 hours.
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Lessons Learned
1. Traditional SEO rankings do not protect against AI invisibility.
A company can rank on page one of Google and not exist in a single LLM. Both visibility layers require distinct strategies and metrics.
2. Semantic interconnection is the prerequisite for AI citability.
Individual pieces of content are not recognized as authoritative by LLMs. Only a complete, internally linked content system with consistent Schema.org markup creates the foundation for recommendations by AI models.
3. The Semantic Authority Score is an operational KPI — not a marketing buzzword.
Companies that want to manage AI visibility need a measurable metric. The Semantic Authority Score, as delivered by Zeno Visibility, enables data-driven management of GEO strategy for the first time.
4. Content volume and content quality are not mutually exclusive.
Zeno Visibility's Authority System Builder demonstrates that semantically precise, machine-readable content can be produced at industrial scale — without any loss of quality through automation.
5. The paradigm shift from SEO to GEO requires infrastructure, not one-off measures.
Generative Engine Optimization is not a project — it is an ongoing operation. Companies that approach this shift with isolated, tactical measures will find themselves at a structural disadvantage.
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Summary
Hartmann Antriebstechnik GmbH increased its Semantic Authority Score from 12 to 67 points within six months and is now established as a citable source for drive technology and precision gearboxes across the relevant LLMs. By deploying Zeno Visibility as an autonomous AI Authority Operating System, the company was able to make the transition from traditional search engine optimization to Generative Engine Optimization in a structured and measurable way. For B2B mid-market companies with complex products and long sales cycles, AI visibility is no longer an optional channel — it is a strategic competitive advantage.
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*This content was created with AI assistance and editorially reviewed.*