AI Optimisation Manager (SEO / GEO / AEO)

The Economist Group

$79K — $106K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years experience in SEO, search marketing, or related fields
  • Familiarity with AIO, AEO, GEO methodologies and LLMs
  • Knowledge of current AI trends and best practices
  • Proficient in analytics tools and SEO software
  • Strong analytical skills for data-driven decisions
  • Excellent communication and cross-functional collaboration abilities
  • Deep understanding of on-page, off-page, and technical SEO best practices

Responsibilities

  • Develop optimization strategies for brand visibility in AI environments
  • Work with editorial and product teams to enhance AI search discoverability
  • Establish a test-and-learn framework for AI-driven projects
  • Experiment with content formats and engineering to boost AI response visibility
  • Analyze LLM search patterns to inform content planning
  • Translate AI search trends into actionable growth tactics
  • Conduct AIO audits and suggest improvement strategies
  • Monitor AI referral performance and provide data reports
  • Engage in keyword and prompt research alongside competitive analysis

Benefits

  • Competitive pension or 401(k) plan
  • Private health insurance
  • 24/7 access to counselling and wellbeing resources
  • Work From Anywhere program for up to 25 days per year
  • Generous annual and parental leave
  • Dedicated volunteer and moving days off
  • Free access to all company content, including subscriptions and podcasts
Full Job Description
Role Overview

We're looking for an AIO Manager to help evolve our search strategy for the AI-driven discovery era. This role will report to our Head of Optimization to help optimise content for AI-powered interfaces such as ChatGPT, Gemini, Perplexity, and other generative engines.

You'll play a key role in ensuring our content is discoverable, interpretable, and cited across both search and AI ecosystems. You'll create long-term strategies that leverage AI deliberately to drive organic subscriber acquisition growth.

Key Responsibilities

AI Search and Content Optimizations:
  • Create optimization strategies that ensure our brand and content is discoverable and cited in AI-driven environments
  • Collaborate with editorial and product teams to ensure all channels are optimized for AI search discoverability
  • Build a test-and-learn framework to scale successful AI-driven initiatives across the organisation
  • Test various content formats and back-end engineering strategies to improve visibility in AI-generated responses

Monitoring and Evaluation:
  • Analyze search patterns across LLMs to identify trends and influence content and product roadmaps
  • Translate emerging AI search trends into actionable growth opportunities
  • Run AIO audits and provide actionable recommendations
  • Monitor performance metrics and provide regular reporting on AI referral channels
  • Conduct in-depth keyword and AI prompts research and competitive audits

Cross-functional Collaboration:
  • Partner closely with editorial, product, engineering, and marketing teams to align AI optimization strategies with business goals
  • Collaborate with data and analytics teams to define measurement frameworks and reporting for LLMs
  • Leverage AI tools and automation to improve marketing performance across acquisition channels and onsite conversion journeys
  • Identify opportunities to streamline and automate marketing and reporting workflows, reducing manual effort and increasing speed to execution
  • Collaborate with email marketing team on content initiatives such as subject line testing and schedule optimizations

Experience & Skills
  • Strong experience in SEO, search marketing or other technical disciplines
  • Experience in AIO / AEO / GEO, AI research and LLMs
  • Up to date in current and emerging AI trends
  • Experience with analytics tools and SEO softwares
  • Strong analytical skills and data driven decision making
  • Excellent communication skills and cross-team collaboration
  • Deep understanding of on-page, off-page and technical SEO best practices

The expected base salary for this position is $79,000 - $106,000 base plus a performance related bonus. It is not typical for offers to be made at or near the top of the range. Rather, salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered.

#LI-Hybrid

Working Arrangements

The majority of our roles operate on a hybrid working pattern, with 3+ days office attendance required.

AI usage for your application

We are an innovative organisation that encourages the use of technology. We recognise that candidates may utilise AI tools to support with their job application process. However, it is essential that all information you provide truthfully and accurately reflects your own experience, skills, and qualifications.

What we offer

Our benefits package is designed to support your wellbeing, growth, and work-life balance. It includes a highly competitive pension or 401(k) plan, private health insurance, and 24/7 access to counselling and wellbeing resources through our Employee Assistance Program.

We also offer a range of lifestyle benefits, including our Work From Anywhere program, which allows you to work from any location where you have the legal right to do so for up to 25 days per year. In addition, we provide generous annual and parental leave, as well as dedicated days off for volunteering and even for moving home.

You will also be given free access to all The Economist content, including an online subscription, our range of apps, podcasts and more.

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