Case Study: How We Got a SaaS Brand Cited 3x More in AI Overviews

The client, a mid-market SaaS provider in the financial compliance space, was facing a crisis. Their traditional search traffic was steady, but their pipeline was drying up. They discovered that when prospective buyers asked ChatGPT or Perplexity for compliance solutions, they were consistently omitted from the recommendations.

They had strong SEO, but zero Entity Authority. They engaged Ambeltek to solve the hallucination of their irrelevance.

Phase 1 was a Technical Semantic Audit. We discovered that their site architecture was designed for human engagement but was actively hostile to LLM parsers. Their core product capabilities were buried in interactive elements and unstructured case studies. We immediately deployed a schema overhaul and re-architected their product data into high-density, machine-readable knowledge nodes.

Phase 2 focused on RAG Pipeline Optimization. We identified the primary third-party domains that LLMs were weighting heavily in the financial compliance category. We executed a strategic citation campaign, ensuring the client's brand entity was structurally embedded in these high-trust nodes.

Phase 3 was continuous monitoring and hallucination defense. Over 90 days, we tracked the client's citation frequency across ChatGPT, Claude, and Perplexity.

The results were absolute. Within three months, the client's brand went from being cited in 12% of relevant AI queries to 48%—a 300% increase in visibility. More importantly, the quality of the citations improved, with models accurately articulating the client's unique technical differentiators. They stopped fighting for blue links and started owning the answer.