SEO/AEO Manager

Discovered Labs is an SEO and answer engine optimisation (AEO) agency built by a Stanford rocket scientist turned AI researcher (Ben Moore) and a demand gen marketer with experience scaling B2B SaaS companies to 8-figures in ARR (Liam Dunne).

We're a team of ML engineers, data scientists and senior marketers trusted by companies including Instantly, Granola, Composio and other Series A+ B2B SaaS businesses to help generate leads and customers through Google and AI assistants like ChatGPT.

We do this through content marketing, technical optimisations and off-site brand amplification, including PR, backlinks and Reddit marketing.

View recent case studies at discoveredlabs.com/case-studies.

High-level overview of our approach:

• AI-powered operations: Our ML team builds internal tools that remove repetitive work and give marketers more time for judgement and execution.
• Senior judgement: Experienced marketers set the strategy and quality bar, and remain responsible for the work our tools help produce.
• Full-stack execution: We work across content, technical SEO/AEO and off-site amplification to give clients better outcomes.

Note: If you want to stand out, please include a Loom video showing a tool, system or deliverable you've produced and are proud of. We'd love to see it

This role

SEO/AEO is already Discovered Labs' top pipeline driver, generating millions in recurring revenue. We're hiring an experienced SEO/AEO Manager who can work confidently with data, run our content workflows, off-page programs and personally ship website improvements (using coding agents like Codex or Claude Code) to grow the qualified opportunities it generates.

You’ll report to Liam and agree commercial goals and quarterly direction with him. You’ll own day-to-day prioritisation, delivery and reporting. Using and improving our existing methodology, proprietary tools and workflows, you’ll diagnose performance, choose priorities and carry work through implementation and measurement.

Your primary outcome is qualified inbound pipeline: relevant buyers discovering us through search and becoming sales opportunities. Keyword positions, relevant organic traffic and AI visibility help you understand whether the work is moving in the right direction.

This is a full-time individual contributor role with no direct reports. The role is fully remote, ideally within ±4 hours of GMT.

Everyone on the Discovered Labs team is tech savvy and data-driven, even if they didn’t start that way. If you have curiosity and the willingness to learn, you’ll thrive here.

What you’ll do

You’ll run our SEO/AEO programme to generate qualified inbound pipeline, with new content, refreshes and off-page campaigns tied to our pillar and cluster strategy.

• Develop our pillar and cluster strategy: Maintain our money-keyword universe, group queries by search intent and map priority clusters to target pages, using semantic clustering where useful.
• Close topic gaps with new content: Run the weekly content loop through our proprietary tools, keeping at least two weeks of approved assignments scheduled against editorial capacity and resolving SEO issues in briefs and drafts. Editors handle QA and publishing.
• Manage content refreshes: Diagnose content decay, underperformance and cannibalisation. Prepare blog refresh briefs covering keyword targeting, topic coverage and internal linking, then verify the changes and measure results.
• Build and optimise landing pages: Personally create and improve pages using coding agents and our GitHub repository. Submit tested pull requests and verify live changes.
• Fix technical SEO issues: Diagnose and fix issues with crawlability, indexation, internal linking, metadata and structured data. Test changes, verify live results and elevate complex engineering work.
• Own our off-page strategy: Define how targeted link building, Reddit and YouTube support our priority topics and objectives. Brief the specialists who produce the deliverables, review their work and use results to refine the strategy.
• Close AI visibility and citation gaps: Use embeddings and entity analysis where useful to investigate how AI answers represent and cite Discovered Labs. Test changes against the gaps you find.
• Build tools that improve delivery: Create and validate scripts, automations and AI workflows for recurring research, analysis and measurement.
• Connect every action to an objective: Tie each tactic to an overarching strategy and a clear objective: improving performance on commercial keywords, earning AI Overview placements, strengthening brand positioning or generating qualified pipeline. Measure progress against those objectives and use