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Finaram

Mortgage Advisory, Prague

From Rarely Named to Consistently Recommended

We made Finaram consistent across pages and structured data, got them listed in the sources AI trusts, and built content around real buyer questions. A good site is not enough: if you are not in the sources, you are not in the answer.

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Primary Result

3x AI-driven traffic in 8 weeks

Supporting Signal

From rarely named to consistently recommended by AI

Breaking into a market where incumbents had years of SEO advantage

AI assembles its answers from the directories, reviews, and comparison sites it trusts. Finaram was absent from almost all of them, so AI rarely named them.

We focused on how AI systems actually retrieve and prioritize recommendations: stronger entity signals, clearer proof points, and citation pathways that are easier for model retrieval layers to trust.

Reaching decision-makers at the exact moment they ask for solutions

Instead of only publishing content for broad search intent, we mapped high-intent buyer prompts and optimized content structure so answers appear directly inside ChatGPT, Gemini, and Perplexity recommendation moments.

What changed after the GEO rollout

  • AI-driven site traffic roughly tripled in eight weeks
  • Moved from rarely named to consistently recommended by AI
  • Listed in the directories and comparison sites AI cites

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Finaram Case Study | Orvio