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
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What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
