Develops and optimizes blogs, landing pages, resource guides, and campaign copy for organic traffic, conversions, and AI search visibility. Owns GEO and AEO initiatives, including structured content, schema markup, FAQs, and AI-friendly formatting. Conducts keyword research, content gap analysis, technical SEO improvements, editing, proofreading, and performance reporting. Uses SEO platforms and analytics to identify opportunities and improve content strategy.
The AI SEO Content Specialist develops content for the Growth Marketing team with a focus on AI SEO. This role is responsible for writing and optimizing blog posts, landing pages, and resource guides, while also supporting copy needs for growth marketing campaigns.
The ideal candidate combines strong writing and editing skills with hands-on AI SEO expertise, ensuring Lone Wolf content performs in traditional search results while also appearing in AI-generated answers and citations.
Resonsibilities:
- Write and scale high-quality content, including:
- Blog posts
- Landing pages
- Resource guides
- Growth marketing campaign copy
- Create content that drives traffic, engagement, and conversions.
- Ensure all content aligns with Lone Wolf's brand voice and messaging. AI SEO / GEO Strategy
- Own Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) initiatives.
- Establish and maintain structured content standards, including:
- Schema markup
- Concise summary sections
- FAQ content
- AI-friendly formatting
- Optimize content for visibility in AI-generated search experiences and large language models (LLMs). SEO Research & Analysis
- Conduct keyword research and content gap analysis using AI-powered SEO platforms.
- Identify:
- High-value search opportunities
- Emerging search trends
- Shifts in user intent
- Competitor content gaps
- Develop content recommendations based on research findings. Content Editing & Quality Control
- Edit, proofread, and fact-check AI-generated and human-written content.
- Ensure:
- Brand consistency
- Factual accuracy
- Readability
- Authoritative tone
- Refine AI-generated drafts into polished, high-quality content. Technical & On-Page SEO
- Optimize:
- Metadata
- Headings
- Internal linking
- Content structure
- Page crawlability
- Support overall technical and on-page SEO performance. Performance Measurement
- Monitor and report on key content metrics, including:
- Organic traffic
- Keyword rankings
- AI visibility and citations
- Conversion rates
- Use performance insights to continuously improve content strategy and execution.
Content Creation & Optimization
Required:
- 2-5+ years of digital marketing experience with a proven track record in:
- SEO strategy
- Content development
- Content optimization
- Hands-on experience with:
- AI large language models (LLMs)
- AI-driven SEO platforms
- Content automation and optimization tools
- Experience using SEO platforms such as:
- Google Search Console
- Ahrefs
- SEMrush
- Experience with CMS platforms such as:
- WordPress
- Webflow
- Strong analytical skills with the ability to:
- Interpret performance data
- Monitor algorithm changes
- Make data-driven content decisions
- Excellent copywriting, editing, and proofreading skills.
- Ability to transform AI-generated content into authoritative, human-centered content. Preferred
- Experience creating content for:
- B2B SaaS organizations
- Real estate technology (PropTech) companies
- Real estate industry audiences
Similar Jobs
Consumer Web • Healthtech • Professional Services • Social Impact • Software
Own the Supervisory Billing product end to end, including strategy, roadmap, revenue growth, state and payer expansion, operational scaling, and new product development. Lead cross-functional initiatives to expand the addressable market, improve efficiency for thousands of customers and appointments, and launch concepts such as a supervisor-supervisee marketplace.
Financial Services
Lead full-stack workflow orchestration engineering using Camunda, Java or Python, and React. Design BPMN/DMN processes, enterprise integrations, IAM controls, resilient long-running workflows, and scalable backend services. Establish CI/CD, observability, security, testing, and operational practices while partnering with product, operations, and control teams. Drive responsible AI-assisted engineering adoption and mentor teams on secure, reliable development practices.
Top Skills:
BpmnCamundaCi/CdDmnGitopsIamJavaJvmKafkaPythonReact JsServicenowTypescript
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develops and leads thermal, hydraulic, lubrication, ventilation, and propulsion system models for electrified and conventional vehicles. Builds 1D and coarse 3D simulations, integrates plant models for SiL and HiL co-simulation, interprets results to guide design decisions, improves analysis tools, and develops automation using Python or MATLAB. The role also provides technical leadership, mentors colleagues, and leads efficiency improvement initiatives.
Top Skills:
1D Fluid Dynamics Modeling3D Thermal ModelingAmesimGt-SuiteHilMatlabPythonSiemens Nx CadSilSimulink
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
