--- title: "Fintech Engineering Firm AI Search Case Study" 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/ Customer context ## About Confidential Fintech Engineering Firm Confidential Fintech Engineering Firm is a financial services - engineering & platforms company based in United Kingdom, EU, United States. This record covers the baseline and scope described below; it does not imply that every company begins from the same conditions. [Visit company website](#) Industry Financial Services - Engineering & Platforms Location United Kingdom, EU, United States Founded 2018 Team 10-50 Starting problem ## 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. - 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 Work delivered ## 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. 1. 01 ### 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. 02 ### 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. 03 ### 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. 04 ### 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. Methodology ## How the work progressed The sequence and durations below come from this engagement record. 1. Phase 1 · 2 weeks ### 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. Phase 2 · 10 weeks ### Tiered Content Build Shipped 43 articles across Perspectives, Field Notes, and Guides under a strict anonymization standard for a confidential client base. 3. Phase 3 · Ongoing ### Offsite Authority Program Launched a tracked backlink and digital-PR program toward a target Domain Rating, with indexing pushes to convert links into authority. 4. Phase 4 · Ongoing ### 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. Reported for this engagement ## Measured movement over 90-day pilot (annual program in progress) These values are specific to Fintech Engineering Firm's baseline, scope and measurement period. They are evidence of this engagement, not a forecast or guarantee for another brand. AI Visibility 1.5% to 4% Tripled AI visibility across the buyer-query universe in 90 days, from near-zero. AI Citations 11 Citations earned across ChatGPT, Perplexity, Google AI Overviews, and Google AI Mode, from effectively zero. Search Clicks +220% Google Search clicks grew 220% over the 90-day window as authority content compounded. Articles Published 43 Tiered system, 18 CIO Perspectives, 7 anonymized Field Notes, 18 Guides, published under strict confidentiality rules. > “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.” What this suggests ## Lessons from the engagement 1. 01 Expertise does not earn AI citations on its own. It has to be packaged into the formats AI models extract from. 2. 02 Offsite authority (backlinks, digital PR) is what makes onsite AEO gains durable. The two have to run together. 3. 03 Strict anonymization and AEO are compatible: Field Notes prove outcomes without naming clients, and AI cites them. 4. 04 Treating AEO as measured experiments, with monthly prompt re-evaluation, is what compounds visibility through algorithm and core updates. 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Its buyers research vendors inside ChatGPT, Perplexity, and Google AI, but the brand was largely absent for the questions that matter: building AI voice agents, HIPAA-safe patient messaging, replacing legacy IVR. The hard part is the category. Operating under HIPAA, SOC 2, and ISO 27001, the brand cannot simply publish to win AI citations, every claim has to survive compliance review, which is exactly where most content programs stall. Compliance Standard HIPAA + SOC 2 + ISO URLs Audited & Triaged 422 [Read case study](/case-studies/enterprise-communications-platform-case-study/) Start from your own data ## Establish your AI-search and organic visibility baseline See your current position in the platform and discuss human and agent execution when you want Snezzi to own the work. [Book a demo](/strategy-session/) [View pricing](/pricing/)