01
Research
Comprehensive analysis of current visibility, competitive landscape, AI recommendation patterns and market opportunities.
Careers
Build The Future Of AI Search With Us
Automize is building an AI Search Growth Consultancy focused on helping high-consideration businesses become easier to discover, understand and trust across Google and AI-powered search experiences.
Why We Exist
Search is changing. AI is changing how customers discover businesses. Traditional SEO shortcuts no longer work in an era where AI engines synthesise information and make recommendations.
Businesses need strategic guidance rather than tactical tricks. They need partners who understand both traditional search and AI-powered discovery, who can help them adapt responsibly rather than chase algorithms.
Automize exists to help organisations navigate this transition. We combine research, human expertise and ethical AI practices to build sustainable visibility that serves both businesses and searchers.
Our Culture
The values that guide how we work and the decisions we make every day
Research Before Assumptions
We diagnose before we prescribe. Every recommendation is backed by data, market analysis and competitive research rather than intuition or shortcuts.
Quality Over Volume
We prefer doing fewer things exceptionally well than spreading ourselves thin. Quality work builds reputation; volume without quality destroys it.
Human Expertise First
AI accelerates our work, but humans make the decisions. We never automate strategic thinking or client communication. Specialists validate every recommendation.
Continuous Learning
AI Search evolves rapidly. We invest time in research, experimentation and knowledge sharing. Stagnant expertise is not an option in our field.
Ownership & Accountability
We take responsibility for outcomes. When things go wrong, we acknowledge it, learn from it and fix it. Blame is not part of our culture.
Long-Term Thinking
We build relationships and systems for the long term. Short-term wins that compromise long-term trust are not acceptable.
Transparency
We communicate openly with clients and each other. Bad news delivered early is better than surprises delivered late. Hidden information creates problems.
Ethical AI Usage
We use AI responsibly. We follow platform guidelines, respect data privacy, and never use manipulative tactics that could harm clients or users.
How We Work
Our project lifecycle from research to continuous improvement
01
Research
Comprehensive analysis of current visibility, competitive landscape, AI recommendation patterns and market opportunities.
02
Strategy
Developing data-driven recommendations aligned with business objectives, market realities and ethical AI Search practices.
03
Execution
Implementing strategies with precision, from technical optimisation to content creation and entity development.
04
Review
Senior strategist review of all deliverables before implementation. Quality assurance is non-negotiable.
05
Measurement
Tracking outcomes, analysing performance data and reporting transparently on what's working and what needs adjustment.
06
Continuous Improvement
Iterating based on results, learning from every engagement and applying insights to improve future work.
Technology Assists. People Decide.
AI accelerates our research, helps us analyse data faster, and identifies patterns humans might miss. But AI does not make strategic decisions.
Specialists validate every recommendation before it reaches clients. Humans remain responsible for strategy, quality control and ethical considerations. We use AI as a tool, not a replacement for judgment.
Accuracy matters more than speed. A wrong recommendation delivered quickly is worse than a correct recommendation delivered thoughtfully. Our clients trust us because we prioritise quality over automation.
Who Thrives Here
The types of team members who succeed at Automize
SEO Strategists
Mindset
Analytical, data-driven, curious about search algorithms
Curiosity
Constantly testing hypotheses and staying updated on search changes
Ownership
Responsible for strategy development and client outcomes
Collaboration
Works closely with content, technical and client teams
Learning
Expected to master both traditional and AI Search methodologies
Technical SEO Specialists
Mindset
Detail-oriented, problem-solving, systems-thinking
Curiosity
Deep interest in website architecture, performance and crawlability
Ownership
Responsible for technical health and implementation quality
Collaboration
Partners with developers, designers and strategists
Learning
Must understand both SEO and development best practices
Content Strategists
Mindset
User-focused, research-driven, quality-conscious
Curiosity
Fascinated by how content influences AI recommendations and user decisions
Ownership
Responsible for content architecture and quality standards
Collaboration
Works with SEO specialists, subject matter experts and designers
Learning
Expected to understand both content marketing and AI Search optimisation
Developers
Mindset
Solution-oriented, performance-focused, security-conscious
Curiosity
Interested in how technical implementation affects search visibility
Ownership
Responsible for code quality, performance and maintainability
Collaboration
Works with technical SEO, designers and product teams
Learning
Must understand development best practices and SEO requirements
Designers
Mindset
User-centric, conversion-focused, brand-aware
Curiosity
How design influences user experience and search performance
Ownership
Responsible for visual quality and user experience outcomes
Collaboration
Partners with developers, content strategists and clients
Learning
Expected to understand UX principles and their impact on conversions
AI Researchers
Mindset
Experimental, analytical, future-focused
Curiosity
Deep interest in how AI platforms understand and recommend content
Ownership
Responsible for research methodology and insight quality
Collaboration
Works with strategists, data analysts and product teams
Learning
Must understand AI systems, natural language processing and search patterns
Data Analysts
Mindset
Data-driven, pattern-seeking, insight-focused
Curiosity
How data reveals opportunities and measures success
Ownership
Responsible for data accuracy, analysis quality and actionable insights
Collaboration
Works with all teams to measure and optimise performance
Learning
Expected to master analytics tools and statistical analysis
Project Managers
Mindset
Organised, communication-focused, outcome-driven
Curiosity
How processes and communication affect project success
Ownership
Responsible for project delivery, client satisfaction and team coordination
Collaboration
Connects all teams and ensures smooth execution
Learning
Must understand project management methodologies and domain expertise
Growth & Learning
How we support continuous development and expertise building
Mentorship
Senior team members actively mentor junior colleagues. Knowledge transfer is built into our workflow, not an afterthought.
Structured Learning
We invest in research time, training resources and knowledge sharing sessions. Learning is part of the job, not something you do on your own time.
Experimentation
We encourage controlled experimentation with new techniques and tools. Failed experiments are learning opportunities, not failures.
Documenting Knowledge
We document strategies, processes and learnings. Knowledge hoarding is discouraged; sharing is expected.
Cross-Functional Collaboration
You'll work across disciplines, learning from specialists in different areas. Silos don't exist here.
Emerging AI Search Technologies
You'll work with cutting-edge AI Search tools and platforms. We're at the forefront of understanding how AI changes discovery.
Current Openings
We are always interested in speaking with exceptional people who share our vision for the future of AI Search.
Even if there isn't a current opening that matches your experience, we encourage you to submit your profile. We'll keep your information and reach out when relevant opportunities arise.
Submit Your ProfileHiring Process
What to expect when you apply to Automize
01
Application
Submit your profile through our careers page. We review every application personally, not through automated screening.
02
Initial Review
Our team reviews your background, experience and alignment with our values. We look for curiosity, ownership and capability.
03
Conversation
If there's potential fit, we'll schedule a conversation to discuss your experience, our work and mutual expectations.
04
Practical Assessment
For most roles, we include a practical assessment relevant to the position. This is a realistic work sample, not a trick question.
05
Team Interaction
You'll meet potential colleagues. Cultural fit matters as much as capability. Both sides should feel good about working together.
06
Offer
If there's mutual fit, we extend an offer. We believe in fair compensation, clear expectations and long-term relationships.
Benefits
Meaningful benefits that support your growth and well-being
Meaningful Work
Work that directly impacts client success and business growth. See the results of your efforts.
Continuous Learning
Regular learning opportunities, research time and exposure to emerging AI Search technologies.
Flexible Collaboration
Work with talented professionals in a collaborative environment. We focus on outcomes, not hours.
Ownership
Take responsibility for meaningful work. Your contributions matter and are recognised.
Direct Access To Leadership
Open communication with leadership. Your ideas and feedback are heard and valued.
Research-Driven Culture
Work in an environment that values research, data and evidence over opinions and shortcuts.
Professional Development
Support for growth, including mentorship, training and career progression opportunities.
Modern AI Tooling
Access to cutting-edge AI Search tools and platforms. Work with technology that's shaping the future.
Transparent Feedback
Regular, constructive feedback that helps you grow. Clear expectations and honest communication.
Frequently Asked Questions
Common questions about working at Automize
Why Automize
What makes Automize a special place to build your career
Human-First Culture
We prioritise human expertise over automation. People make decisions; tools assist.
Research-Driven Work
Every recommendation is backed by research, data and competitive analysis.
Ethical AI Principles
We follow ethical AI practices and platform guidelines. No shortcuts that harm clients.
Transparent Communication
Open communication with clients and team members. No hidden agendas or surprises.
Continuous Improvement
We learn from every engagement and apply insights to improve future work.
Client Impact
Our work directly impacts client success. See the results of your efforts.
Long-Term Partnerships
We build lasting relationships with clients and team members. Short-term thinking is not our approach.
Quality Standards
Senior strategist review on all deliverables. Quality is never compromised for speed.
Interested In Building The Future Of AI Search?
We're always interested in exceptional professionals who share our vision, regardless of whether a current opening matches your experience. Submit your profile and we'll reach out when relevant opportunities arise.