1. Case studies
  2. Fintech engineering company

Case study · Fintech software engineering

A fintech employer brand rose to #2 in AI recommendations

How a fintech software company built an employer brand that ChatGPT, Google AI and other AI engines recommend to senior engineers, from not mentioned at all to #2 of 216, level with Exness and ahead of Revolut, in under four months.

The company's AI visibility score in the Reachd dashboard, week by week, against Exness, FxPro and Revolut.
The company's AI visibility score in the Reachd dashboard, week by week, against Exness, FxPro and Revolut.

Results at a glance

  • #2 of 216 among the companies AI recommends to senior fintech engineers, from not mentioned at all
  • #1 in ChatGPT on visa and relocation questions, named in 19 of 29 answers, more often than Revolut or Exness

Background

The company builds trading, market data and risk software for banks, brokers and funds, and it hires senior Java, C++, Python and front-end engineers for two offices in Europe and for remote roles. It competes for the same people as Revolut, Exness, FxPro and other well-known fintech employers, most of them far bigger and far better known.

More and more engineers start a job search by asking ChatGPT, Google AI or another AI engine which fintech companies hire seniors, sponsor visas and help with relocation, and they apply to the names in the answer. In the first Reachd analysis, AI answered developers’ questions about where to work with Exness, eToro, Amdocs, EPAM and GitLab, and across 270 answers it did not name the company once. A strong candidate who started there chose where to apply without ever hearing of it.

Goals

  1. 01 Get recommended when senior engineers ask AI which fintech companies to work for
  2. 02 Stand next to Revolut, Exness and other big fintech employers in AI answers

The company also had two narrower aims. AI had to quote the company’s own pages instead of stray copies of its vacancies, and the company had to show up on the questions candidates ask right before they apply: visa sponsorship, relocation for the family and the stack each team works in.

Results

  • #2 of 216 in under four months From not being named at all, the company became the second most recommended employer for senior fintech engineers on these questions, level with Exness and ahead of Revolut. Only FxPro scored higher.
  • First in ChatGPT on visa and relocation On questions about visa sponsorship and relocation, ChatGPT named the company in 19 of 29 answers and put it first in 9, more often than Revolut (13) or Exness (11).
  • Its own careers pages in the answers AI cited none of the company's pages in the first weeks. By the end of August ChatGPT took the relocation terms straight from its careers page and called the company the strongest lead for an engineer who wants to move.

How the company built an employer brand that AI recommends

The company’s own team did the work, following the Reachd recommendations. The daily analysis showed which questions engineers asked AI about jobs, which employers it named on each and which pages it read. Many answers relied on copies of the company’s vacancies on job sites, so the team worked on both ends: more of its roles on the job boards AI reads, and pages on its own site that state what a candidate asks about. The same steps for any hiring team are laid out in how to get ChatGPT to send the right candidates to a company.

  1. Mid-June

    Vacancies on the job boards AI reads

    The company posted its open roles on more job boards, and AI engines started citing those postings in answers about fintech jobs. Each posting named the stack, the product and the relocation package, which gave an answer something to repeat.

    From not named to #18 of 172
  2. Early July

    Country hubs and a page per stack

    The careers section moved from one filtered list to a hub for each office country and a page for each stack: Java, C++, Python, Angular and Node.js. Every page had its own text about the work, and every vacancy carried job posting markup that search engines and AI read as a live opening.

    #4 of 202
  3. By late August

    Pages about the company, its culture and relocation

    The careers page described how the teams work and what the company builds, and a section on relocation stated the package in plain sentences: visa sponsorship, flights and the first month of accommodation for the engineer and the family, and help with work and residence permits. More postings went up on LinkedIn, startup.jobs, 4dayweek and other boards.

    #2 of 216, ahead of Revolut

When ChatGPT recommended the company, it listed the relocation section of the careers page point by point: visa support, entry and residence permits, flights and the first month of accommodation. Perplexity called the company the best match for an engineer who wanted Java or C++ work and a paid move, since its postings stated both in so many words.

AI recommends an employer it can quote. A relocation package that only comes up on a recruiter’s first call never reaches the engineer who asked ChatGPT where to work.

Most of what the company published was already true about it. The relocation package, the stack of each team and the way the teams work existed before. Working from the Reachd dashboard, the team put them on pages and postings AI reads. A company can check what AI says about it and see which of its pages AI already cites.

Questions about this case

How do companies get recommended by ChatGPT to job seekers?

ChatGPT, Google AI and other AI engines recommend an employer whose pages and job postings answer the candidate's question in plain sentences. The answers that named this company repeated its relocation terms, the stack of each role and the countries of its offices, taken from its careers page, its country and stack pages and its postings on job boards.

Why doesn't ChatGPT mention my company when candidates ask where to work?

Usually AI finds too little about the company as an employer. In the first analysis of this case AI named Exness, eToro, Amdocs, EPAM and GitLab, and it cited the company's own site in none of 270 answers. Its open roles sat in one filtered list, and its careers page said nothing about visas or relocation, the subject of about half the candidate questions in this case.

Does employer branding in AI search help hire senior engineers?

Senior engineers ask AI the questions they would otherwise save for a recruiter: who sponsors a visa, who pays for the move, which team works in Java. The employers named in the answer get the application. At the end of August ChatGPT named this company in two of three answers on visa and relocation questions, so candidates heard of it before they opened a job board.

How long does it take for an employer brand to show up in AI answers?

Here AI first recommended the company about six weeks after tracking began, once its postings went up on job boards AI reads. Pages for each office country and each stack took it to fourth place by mid-July, and it reached second place in under four months. AI engines with live search read a new page or posting within days, so the first movement follows the work closely.

What do AI engines read about a company as an employer?

Its careers page, its vacancies, copies of those vacancies on job boards, review sites and articles. In this case many answers relied on job board copies of the company's vacancies, so the company kept its postings current on LinkedIn and other boards and put the same facts on its own pages, where it controls the wording.

Can a company improve its employer brand in AI without an agency?

Yes. Reachd is built so that business owners can win customers from AI search themselves, and the same works for candidates. Here the company's own team followed the Reachd recommendations. Reachd showed which questions engineers asked AI, which employers it named and which pages it read, and the score showed after each change whether the answers had moved.

Published ← All case studies

Does ChatGPT recommend your business?

Reachd asks ChatGPT, Google AI and other AI assistants real customer questions about the business, shows which competitors they recommend instead, and why. The analysis is free, no card needed, and the results land within a few minutes.

Free accountFull competitor analysisNo card needed

ChatGPTGoogle AIPerplexityClaudeGrok