Differentiating from Peec.ai: How Zeno Visibility combined AI visibility for a FinTech with content operationalization and CMS-ready publishing
Differentiating from Peec.ai How Zeno…
Situation
A German B2B FinTech specializing in spend management and virtual corporate cards was facing a clear problem in 2025: classic SEO performance was stable, the brand was well known in the market, but it played almost no role in AI answers. The company generated around 180,000 organic sessions per month, about 28% of which came from the three revenue-relevant topic clusters “corporate card,” “Expense Management,” and “Spend Control.” Even so, in internal prompt tests, the brand appeared in only 8% of responses across ChatGPT, Gemini, Perplexity, Claude, and Copilot.
The marketing team consisted of four people who produced content with an external network and published it via Contentful. On average, 10 to 12 new assets were created each month, but without a consistent semantic structure. Before the project, Peec.ai had already been used to measure AI visibility. The tool reliably showed where the company was missing from LLM responses, but it did not provide any operational guidance for content, internal linking, or CMS deployment. This exact gap between diagnosis and execution became the bottleneck.
Challenge
The central challenge was not a lack of content, but a lack of semantic authority. The FinTech ranked on page 1 for several target keywords, yet AI systems still rarely picked it up as a source or recommendation. In practice, this meant that competitors were mentioned more often in assistants, even though their organic visibility was sometimes lower.
In addition, there was no scalable system for content production. Every new landing page, every FAQ set, and every comparison article had to be planned, written, and implemented individually. As a result, execution took too long, and important topic clusters remained incomplete. For a regulated FinTech with products that require explanation, this is particularly critical: without clearly structured content, Schema.org markup, and a clean internal linking network, LLMs do not build a reliable knowledge base. The result was weak recommendations in generative search environments and a growing gap between SEO performance and AI visibility.
Solution
The company chose Zeno Visibility because the platform does not just measure—it closes the operational gap between analysis and content deployment. Unlike Peec.ai, which primarily makes LLM presence visible, Zeno Visibility connects AI visibility measurement with the development of semantic authority and CMS-ready publishing.
First, a baseline audit was carried out across ChatGPT, Gemini, Perplexity, Claude, and Copilot using the Research Engine. This produced a Semantic Authority Score of 23/100 and a prioritization of 12 core keywords and 4 thematic hubs. The Authority System Builder then generated a complete authority system for each cluster with more than 100 semantically connected content modules: hub pages, comparison pages, FAQ sections, use cases, case studies, glossary elements, and social snippets. For the pilot, 47 assets were actually produced and published; the remaining modules served as a roadmap for scaling.
Technically, it was crucial that the content was not treated as isolated text. Zeno Visibility automatically generated Schema.org JSON-LD, internal link structures, and CMS-compatible outputs. The team published the content directly into Contentful; for individual pages, HTML and JSON-LD exports were also used to minimize developer effort. At the same time, an editorial workflow was defined: strategic approval by SEO and content, subject-matter review by Product Marketing, then direct publication. This reduced the production time for a new content cluster from an average of 9 days to 2.5 days.
What was especially valuable was the combination of monitoring and operationalization: the Research Engine identified gaps in how the brand was perceived, the Authority System Builder immediately delivered the right content modules, and CMS-ready publishing ensured rapid rollout. For the FinTech, that was the difference between simply observing and achieving measurable AI visibility.
Results
After six months, the effect was clear. Brand mentions in standardized AI prompts rose from 8% to 29%. The Semantic Authority Score increased from 23 to 61 points. In Perplexity and Gemini, the core product categories were linked to the brand much more frequently; in the most important comparison queries, the brand was mentioned ahead of two direct competitors for the first time.
Operational performance also improved significantly: time-to-publish dropped by 72%, content production per cluster became 58% more efficient, and 38 new assets went live, including 11 comparison pages and 9 FAQ sets. Organic clicks to AI-relevant pages increased by 46% over the same period. The sales team also reported an 18% increase in qualified inbound inquiries.
Particularly relevant from a business perspective: automated generation and CMS integration eliminated large parts of manual coordination. This corresponded to savings of around 1.2 FTE in the content and SEO workflow. Based on the additional pipeline and reduced production costs, the result was a positive ROI within six months.
Lessons Learned
Summary
With Zeno Visibility, the FinTech closed the gap between analysis and execution: from simply observing AI visibility to systematically building semantic authority. Through the Research Engine, Authority System Builder, and CMS-ready publishing, presence in LLM responses increased significantly while production effort and time-to-publish decreased. For B2B companies in the DACH region, this case shows that GEO only becomes effective when content, structure, and distribution are treated as one system.