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Case study · Fintech and crypto

Fintech and crypto: websites where trust is built with clarity, not promises

Several fintech and crypto companies in Latin America and the US received bilingual sites from KINTO with segment landing pages, extensive FAQs and a layer that helps generative search engines cite them correctly.

By KINTO · Published

Figures, each with its source

  • dozens

    FAQs published on the largest site

    Measured

  • ≈3

    weeks to a multi-page bilingual site

    Measured

Ranges or orders of magnitude where a figure could identify the client, each with its source.

How the transformation unfolded From the problem to what changed, in the five steps every KINTO case follows.

  1. Problem

    Several financial businesses with offers that are hard to explain (services for traders and platforms, crypto advisory, lending) needed sites that explain their offer to different audiences and convert into scheduled calls.

  2. Signals

    Four signals: market, business, user experience and support.

  3. How we understood it

    We segmented each audience by its main question and turned the typical objections into frequently asked questions with short answers.

  4. What we built

    Landing pages by segment, a work method explained in phases, FAQs by category, full English/Spanish parity with hreflang, financial-service and FAQ structured data, citation metadata, and `llms.txt`/`llms-full.txt`.

  5. Transformation

    From zero to multi-page bilingual sites with a GEO layer in weeks.

Before and after, by dimension Editorial levels from 0 to 4 read from the text of this case, never a figure drawn to scale.

  • Web presence

    Before

    None (level 0 of 4)

    After

    Bilingual, multi-page (level 4 of 4)

  • Audience fit

    Before

    Hard-to-explain offer (level 1 of 4)

    After

    Landing page per segment (level 4 of 4)

  • Objection handling

    Before

    Left unanswered (level 1 of 4)

    After

    FAQs by category (level 4 of 4)

  • Citable by AI engines

    Before

    No GEO layer (level 0 of 4)

    After

    GEO layer in place (level 3 of 4)

The four signals we read What the market, the business, the user experience and support were saying before KINTO built anything.

  • Market

    Very different audiences within a single site: influencers, professional traders, funds and platforms.

  • Business

    The conversion is a call; trust is the bottleneck.

  • User experience

    Bilingual audiences.

  • Support

    Support happens in scheduled calls.

How trust was built
  1. Segment audiences By their main question
  2. Typical objections Turned into short FAQs
  3. Pages and FAQs Full English/Spanish parity
  4. GEO layer Structured data and llms files

Connections

  • Segment audiences → Typical objections
  • Typical objections → Pages and FAQs
  • Pages and FAQs → GEO layer

Several fintech and crypto companies in Latin America and the US received bilingual sites from KINTO with segment landing pages, extensive FAQs and a layer that helps generative search engines cite them correctly.

Problem

Several financial businesses with offers that are hard to explain (services for traders and platforms, crypto advisory, lending) needed sites that explain their offer to different audiences and convert into scheduled calls.

Signals

  • Market: Very different audiences within a single site: influencers, professional traders, funds and platforms.
  • Business: The conversion is a call; trust is the bottleneck.
  • User experience: Bilingual audiences.
  • Support: Support happens in scheduled calls.

How we understood it

  • Segmentation of each audience by its main question.
  • Typical objections turned into FAQs with short answers.

What we built and why

  • Landing pages by segment and a work method explained in phases.
  • FAQs by category and full English/Spanish parity with hreflang.
  • Structured data for financial services and FAQs, citation metadata and llms.txt/llms-full.txt for generative search engines.

Why this way: In finance, trust is built by answering the objection before the visitor raises it, and by leaving the content in a form generative search engines can cite without distorting it.

Transformation

  • From zero to multi-page bilingual sites with a GEO layer in weeks.

  • FAQs published on the largest site: dozens (measured)

  • weeks to a multi-page bilingual site: ≈3 (measured)

What we don’t know yet

  • Impact on leads or rankings: no evidence.
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