--- title: "Fintech Engineering Firm Case Study - 1.5% to 4% AI Visibility" canonical: https://snezzi.com/case-studies/fintech-engineering-authority-case-study/ source: https://snezzi.com/case-studies/fintech-engineering-authority-case-study/ --- > Canonical page: https://snezzi.com/case-studies/fintech-engineering-authority-case-study/ ![Fintech Engineering Firm company logo](/assets/case-studies/ai_saas.png) Financial Services - Engineering & Platforms # How Fintech Engineering Firm Built 1.5% to 4% AI Visibility Building category authority in regulated finance, from near-zero • 90-day pilot (annual program in progress) 1.5% to 4% AI Visibility 11 AI Citations +220% Search Clicks fintech-engineering.com ▾ Source is Google AI or chatgpt.com or Perplexity or D... × AI VISIBILITY 4% from 1.5% (3X) AI CITATIONS 11 from ~0 SEARCH CLICKS +220% 90 days SEARCH IMPRESSIONS +105% 90 days ARTICLES PUBLISHED 43 3 tiers PROMPT UNIVERSE ~100 monthly re-eval Months Days Financial Services 1.5% to 4% AI Visibility (3X), +220% clicks, 43 articles, onsite + offsite in parallel 90-day pilot Anonymized dashboard view; client domain and interface details are illustrative. ## About Confidential Fintech Engineering Firm Founded in 2018, Confidential Fintech Engineering Firm is a financial services - engineering & platforms company based in United Kingdom, EU, United States. With a team of 10-50 passionate professionals, they've built a reputation for quality and innovation in their space. Like many growing businesses, they faced the challenge of standing out in a crowded market while building sustainable, long-term growth beyond paid advertising. Industry Financial Services - Engineering & Platforms Founded 2018 Team Size 10-50 Location United Kingdom, EU, United States ## The Challenge ### Deep expertise, almost no AI-search presence An established, privately-held engineering firm builds AI-native platforms and governed AI systems for regulated financial-services clients across the UK, EU, and US, the kind of work that wins credit-decisioning and economic-crime mandates at major banks. Its expertise was real and its references blue-chip, but in AI search it barely existed: 1.5% AI visibility, barely a prompt surfacing a mention, and almost no citations. For a firm whose entire growth thesis is thought leadership and becoming a recognized name in the category, being absent from the AI answer layer was a serious gap. #### What They Were Struggling With: ❌ 1.5% AI visibility, with barely a prompt surfacing a mention at baseline ❌ Deep, defensible expertise that AI assistants never cited ❌ Strict client confidentiality limiting how case evidence could be told ❌ Authority signals (backlinks, citations) effectively starting from zero ## Our Solution ### A done-for-you AEO program across onsite and offsite, run as experiments We ran this as a data-driven authority build, not a content dump. We expanded the prompt universe to roughly 100 buyer queries and re-evaluated it monthly against visibility, shipped a tiered content system written to a strict anonymization standard, and drove an offsite authority program (backlinks and digital PR toward a target Domain Rating) in parallel with onsite optimization, measuring every move against a five-metric framework and adapting as AI-search signals shifted. #### Our Strategic Approach: 1 ##### Tiered Thought-Leadership System 43 articles across CIO Perspectives, anonymized Field Notes (real outcomes, no client names), and technical Guides, the formats AI models cite for senior, technical buyers. 2 ##### Onsite Depth: Schema, IA, Technical SEO Article and FAQ schema, internal-link mesh, and a multi-page technical optimization sprint to make deep expertise cleanly extractable by AI. 3 ##### Offsite Authority: Backlinks + Digital PR A tracked backlink and digital-PR program driving toward a target Domain Rating, the offsite signal that compounds citation and ranking, run alongside the content build. 4 ##### Experiment-Led Measurement A five-metric framework (Traffic, Engagement, Return Visits, Citations, Shareability), with the prompt set re-evaluated monthly against visibility and content refreshed as AI-search and core-update signals moved. ## How We Made It Happen Our step-by-step approach delivered measurable progress within 90-day pilot (annual program in progress). Here's exactly how we did it: 1 #### Baseline + Prompt Universe Measured 1.5% AI visibility, then built and prioritized a buyer-query universe of roughly 100 prompts across the firm's content pillars. 2 weeks 2 #### Tiered Content Build Shipped 43 articles across Perspectives, Field Notes, and Guides under a strict anonymization standard for a confidential client base. 10 weeks 3 #### Offsite Authority Program Launched a tracked backlink and digital-PR program toward a target Domain Rating, with indexing pushes to convert links into authority. Ongoing 4 #### Experiment, Measure, Adapt Ran content and prompt experiments against a five-metric framework, re-evaluating the prompt set monthly against visibility and re-basing as AI-search and core updates shifted. Ongoing ## The Results Speak for Themselves Within 90-day pilot (annual program in progress), Fintech Engineering Firm built measurable momentum. Here's what we achieved together: 1.5% to 4% AI Visibility Tripled AI visibility across the buyer-query universe in 90 days, from near-zero. 11 AI Citations Citations earned across ChatGPT, Perplexity, Google AI Overviews, and Google AI Mode, from effectively zero. +220% Search Clicks Google Search clicks grew 220% over the 90-day window as authority content compounded. 43 Articles Published Tiered system, 18 CIO Perspectives, 7 anonymized Field Notes, 18 Guides, published under strict confidentiality rules. ## What Fintech Engineering Firm Had to Say > "Our expertise was never the question, being found was. In one quarter Snezzi took us from effectively invisible to cited across the AI engines, with the offsite authority work to make it stick, and never named a client to do it." ## Key Takeaways Here are the most important lessons from Fintech Engineering Firm's transformation that other financial services - engineering & platforms businesses can apply: 💡 Expertise does not earn AI citations on its own. It has to be packaged into the formats AI models extract from. 💡 Offsite authority (backlinks, digital PR) is what makes onsite AEO gains durable. The two have to run together. 💡 Strict anonymization and AEO are compatible: Field Notes prove outcomes without naming clients, and AI cites them. 💡 Treating AEO as measured experiments, with monthly prompt re-evaluation, is what compounds visibility through algorithm and core updates. ## More Success Stories Discover how other businesses are achieving growth through AI visibility optimization. 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