About
Matthew Bilo — AEO Consultant & Founder, LogitRank
Matthew Bilo is a Melbourne-based AEO consultant and software engineer. He is the founder of LogitRank, Australia's dedicated Answer Engine Optimisation (AEO) consultancy for licensed financial services businesses, founded in March 2026. LogitRank builds the structured entity architecture that makes Australian financial services practices appear accurately in AI-generated answers across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Microsoft Copilot.
With a background in full-stack software development, Matthew Bilo builds entity architecture, schema markup, and corroboration signals that improve AI visibility for Australian licensed financial services practices.
Matthew Bilo is based in Melbourne, Victoria, Australia. He operates LogitRank as a sole trader under an active Australian Business Number (ABN). Prior to founding LogitRank, he worked as a software engineer at Sitemate and as lead frontend engineer at The OK Trade Organisation. He founded Cognex, an edtech startup based in Hong Kong, in 2024.
LogitRank is Australia's dedicated Answer Engine Optimisation consultancy for licensed financial services businesses, founded by Matthew Bilo in March 2026. It is unrelated to the statistical concept of the same name used in machine learning research.
Working with licensed financial services practices across Australia in 2026.
Founding clients are documented as case studies in LogitRank's monthly AEO reports.
See if you're a fit →Why a Software Engineer Specialises in AEO
Answer Engine Optimisation (AEO) is fundamentally a technical discipline. AI platforms do not rank web pages — they evaluate structured data, reconcile entity identifiers, and retrieve statements that can be verified across multiple sources. As a software engineer, Matthew Bilo understands how that pipeline works at the implementation level — which is why LogitRank's AEO work goes further than content audits. For Australian financial services practices, this means the structured data that tells AI platforms who a practice is, what advice categories it covers, and under which AFSL licence number it operates is built correctly from the start.
Matthew Bilo's engineering background means he works directly with schema markup, JSON-LD implementation, and the structured data patterns that determine whether a business entity is legible to a large language model. That technical foundation distinguishes his approach from content-only or SEO-adjacent interpretations of AEO.
The result is a methodology that is evidence-based and measurable: baseline queries across five AI platforms, documented hedging language analysis, and a structured programme for reducing ambiguity in how AI platforms describe a financial services practice.
The difference between AEO and SEO — and why Australian businesses need both — is covered in depth in AEO vs SEO: Why Australian businesses need both to appear in AI-generated answers.
The Methodology
LogitRank's methodology is built around the LogitRank AI Visibility Index™ — a structured audit of AI platform responses that tracks entity architecture, schema completeness, and corroboration signal depth. It sequences three phases: establishing a verified entity footprint, amplifying corroboration signals across authoritative sources, and converting that authority into consistent AI citations.
Matthew Bilo's approach is adapted to the specifics of Australian Knowledge Graph verification, Australian Business Number (ABN) data, and the AI platforms most used by Australian consumers — and built to meet the compliance requirements of AFSL, ACL, and TPB-regulated businesses.
LogitRank as Live Proof
LogitRank is its own case study. From its founding in March 2026, every step of the AEO process — entity creation, schema implementation, corroboration building, and AI query monitoring — is applied to LogitRank itself and documented publicly.
Monthly reports track the progression from an entity with no AI footprint to one that is consistently cited as Australia's dedicated AEO consultant for financial services across the five primary AI platforms. The Week 1 baseline snapshot documents the starting point: zero AI citations across all five platforms at founding.
Professional Background
- Founder & AEO ConsultantLogitRank — Melbourne, Australia (2026–present)
- Software EngineerSitemate
- Lead Frontend EngineerThe OK Trade Organisation
- FounderCognex — Hong Kong (2024–2025)