AI Search Optimisation (AEO) Lead (Remote) in City of London

AI Search Optimisation (AEO) Lead (Remote) in City of London

City of London Full-Time 60000 - 80000 € / year (est.) Home office possible
MCG Talent

At a Glance

  • Tasks: Design and implement a cutting-edge AEO strategy to boost inbound enquiries via AI.
  • Company: Join a forward-thinking company leading the way in AI and search optimisation.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Other info: Fast-paced environment with high accountability and clear performance expectations.
  • Why this job: Be at the forefront of AI technology and make a tangible impact on business growth.
  • Qualifications: 5-10 years in technical SEO or related fields with strong technical skills.

The predicted salary is between 60000 - 80000 € per year.

Our client is creating a new, high-accountability role to build and prove Answer Engine Optimisation (AEO) as a real inbound growth channel. This role will design and implement an AEO strategy that materially increases qualified inbound enquiries generated via AI answer engines.

What You’ll Do

  • Design an end-to-end AEO strategy aligned to how modern LLMs ingest, interpret, and surface answers
  • Diagnose why strong SEO visibility isn’t translating into AI recommendations — and fix it
  • Audit and implement hands-on technical changes across:
    • Structured data & schema
    • Entity optimisation & knowledge graphs
    • Machine-readable FAQs and credibility signals
  • Define AEO-specific metrics and attribution models
  • Prove impact through measurable AI-originated inbound leads

This is hands-on, technical work — not slide decks or content calendars.

Who This Is For

  • 5–10 years’ experience in technical SEO, search architecture, applied AI, data engineering, or similar
  • Deep understanding of how AI models source, weight, and recommend information
  • Strong technical literacy (schemas, entities, APIs, machine-readable content)
  • Commercial, outcome-driven mindset
  • Comfortable operating under pressure with clear performance expectations

AI Search Optimisation (AEO) Lead (Remote) in City of London employer: MCG Talent

Our client is an exceptional employer, offering a dynamic remote work environment that fosters innovation and accountability. With a strong focus on employee growth, they provide opportunities to lead cutting-edge projects in AI and search optimisation, while promoting a collaborative culture that values technical expertise and results-driven performance. Join a forward-thinking team where your contributions directly impact the company's success and shape the future of inbound marketing.

MCG Talent

Contact Detail:

MCG Talent Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Search Optimisation (AEO) Lead (Remote) in City of London

Tip Number 1

Network like a pro! Reach out to folks in the AI and SEO space on LinkedIn or at industry events. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.

Tip Number 2

Show off your skills! Create a portfolio or a personal project that highlights your AEO strategies and technical know-how. This is your chance to demonstrate what you can do beyond just a CV.

Tip Number 3

Prepare for interviews by diving deep into the company’s current AEO practices. We recommend coming up with actionable insights or suggestions that could improve their strategy. It shows you’re proactive and genuinely interested!

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly can sometimes give you an edge over other candidates.

We think you need these skills to ace AI Search Optimisation (AEO) Lead (Remote) in City of London

Answer Engine Optimisation (AEO)
Technical SEO
Search Architecture
Applied AI
Data Engineering
Structured Data
Schema Implementation

Some tips for your application 🫡

Show Off Your Technical Skills:Make sure to highlight your experience in technical SEO and AI. We want to see how you've tackled similar challenges in the past, so don’t hold back on the details!

Tailor Your Application:Customise your CV and cover letter to reflect the specific requirements of the AEO Lead role. We love it when candidates connect their skills directly to what we’re looking for.

Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’re a great fit!

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role!

How to prepare for a job interview at MCG Talent

Know Your AEO Inside Out

Make sure you understand the ins and outs of Answer Engine Optimisation. Brush up on how modern LLMs work, and be ready to discuss specific strategies you've implemented in the past. This will show your potential employer that you're not just familiar with the concept but can also apply it effectively.

Showcase Your Technical Skills

Since this role is hands-on and technical, prepare to discuss your experience with structured data, schema, and entity optimisation. Bring examples of past projects where you’ve made technical changes that improved search visibility or AI recommendations. This will demonstrate your capability to handle the job's demands.

Prepare for Problem-Solving Questions

Expect questions that assess your ability to diagnose issues in SEO visibility and translate that into actionable AEO strategies. Think of specific challenges you've faced and how you resolved them. This will highlight your analytical skills and commercial mindset.

Metrics Matter

Be ready to discuss how you define AEO-specific metrics and attribution models. Prepare to share how you've measured the impact of your strategies in previous roles. This shows that you’re outcome-driven and understand the importance of quantifying success in a technical environment.