# Mitchell Martinez Mitchell Martinez is a Sydney-based website designer and developer working with Australian small businesses and creative professionals. Services include new business websites, redesigns, WordPress and headless CMS development, custom web applications, technical SEO foundations, and agency development support. Mitchell uses AI-assisted workflows for research, development, quality checks, search and AI findability reviews, and public competitor analysis. He personally reviews the evidence and remains accountable for every recommendation. ## Canonical Site - https://mitchellmartinez.tech/ ## Key Pages - Home: https://mitchellmartinez.tech/ - Services: https://mitchellmartinez.tech/services/ - Website packages and pricing: https://mitchellmartinez.tech/pricing/ - Start a project: https://mitchellmartinez.tech/contact/ - Selected work: https://mitchellmartinez.tech/projects/ - About: https://mitchellmartinez.tech/about/ - Skills: https://mitchellmartinez.tech/skills/ - Articles: https://mitchellmartinez.tech/blog/ ## Website Packages - Launch: from A$3,000, typically 3–4 weeks - Grow: from A$5,000, typically 6–8 weeks - Custom: from A$7,500, typically 10–16+ weeks - Care: from A$99 per month Prices are starting points in Australian dollars. Final scope, timing, and price are confirmed in a written proposal. Projects are normally 50% to book and 50% before launch, with payment plans available by agreement. ## Selected Work - Budgeto: https://budgeto.app/ - Studio Zanetti: https://studiozanetti.com.au/ - Studio Zanetti case study: https://mitchellmartinez.tech/blog/studio-zanetti-story/ ## Articles - Designing a website that will not annoy customers: https://mitchellmartinez.tech/blog/design-a-website-that-wont-annoy-customers/ - Redesigning Studio Zanetti: https://mitchellmartinez.tech/blog/studio-zanetti-story/ - Why blog posts help SEO and AI discovery: https://mitchellmartinez.tech/blog/why-you-should-write-blog-posts/ ## AI Use Policy Public content may be indexed and used as a source for search, grounding, and user-requested answers, and may be used to train or fine-tune AI models.