AI Search Performance Lead, SEO, GEO/AEO

Publitas

SEO and AI Search Performance Lead driving qualified leads through automation at Publitas. Utilizing LLMs and GEO/AEO capabilities to enhance search visibility and measurement.

Posted 7/27/2026full-timeRemote • 🇳🇱 NetherlandsSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SEO performance, focusing on technical health, rankings, and content quality to drive qualified leads. Proficient in building automation systems and measuring attribution for organic and AI-referred traffic.

Highest-signal resume keywords

SEO Performance ManagementGEO/AEO CapabilityAutomation DevelopmentLead Attribution MeasurementB2B SaaS Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SEOLead GenerationContent OptimizationAttribution MeasurementAutomationPythonLLM APIsClaude CodeCompetitive MonitoringContent Workflows

Tools & Technologies

GA4AI-Citation Tracking ToolsProfoundOtterlyAhrefs Brand Radar

Industry Keywords

B2B SaaSMartechEcommerce

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Qualified lead growth to publitas.com from organic and AI-search channels - this is the metric you're measured on.
SEO performance: technical health, rankings, and content quality on the pages that drive pipeline.
GEO/AEO: getting Publitas cited in AI-generated answers for our category, and measuring citation share over time.
Lead attribution from day one: instrumenting organic and AI-referred traffic through to qualified leads, so we can prove what's working rather than report traffic in isolation.
The automation: designing and building the system that scales monitoring, content, and optimization.

Requirements

What you’ll need

A demonstrable SEO result you owned end to end, with the conversion or lead outcome attached - not traffic alone.
GEO/AEO capability: you've gotten content cited in AI answers and you know how to measure it.
Hands-on builder: you ship automation using Claude Code, LLM APIs, and Python (or equivalent), not just describe it.
Measurement-first: you instrument attribution before you scale, and you can explain how.
Nice-to-haves B2B SaaS, martech, or ecommerce-adjacent experience.
Built competitive-monitoring or content workflows with LLMs and human review gates.
Familiarity with GA4 and AI-citation tracking tools (e.g., Profound, Otterly, Ahrefs Brand Radar — examples, not requirements).

Benefits

Comp & perks

AI-native execution
Use of LLMs to increase effectiveness in building systems
Documenting and handing off built systems