GEO Consultant (m/f/x)
Mission: Fix the Internet. Shape How AI Understands Brands. Build Machine Relevance.
jack rabbit is The Relevance Company.
We help brands win where relevance is created today:
in culture and inside AI systems.
GEO (Generative Engine Optimization) is our discipline for engineering AI visibility. Correcting misinformation, improving brand presence, and building the information ecosystems that AI models rely on.
This role is not theoretical.
It is operative, hands-on, content-driven, platform-aware work.
If you know how SEO works, how Reddit behaves, why Quora wins certain topics, how schema structures information, you already speak our language.
This is where strategy meets execution.
This is Relevance Engineering for machines.
Your Mission
MISSION 01 — Audit the Machine Reality
Run AI audits across ChatGPT, Gemini, Claude, Perplexity and search-AI blends.
Find inaccuracies, outdated facts, missing associations, weak content ecosystems.
MISSION 02 — Fix and Feed AI Systems
Create structured content, fact frameworks, and information pathways that LLMs can ingest and reproduce.
From long-form narratives to crisp UX microcopy — whatever the machine needs.
MISSION 03 — Build AI-Ready Information Architecture
Design the structures, taxonomies, and content maps that support visibility across the web:
SEO pages, FAQs, guides, citations, summaries, data tables.
MISSION 04 — Influence AI via the Real Internet
Work with platforms that shape LLM training data:
Reddit, Quora, forums, social, YouTube descriptions, reviews, structured data sources.
You understand how these platforms behave: their rules, cultures, signals, and influence patterns.
MISSION 05 — Produce, Publish, Improve
You create the content, publish it, track impact, and iterate.
You don’t just advise — you build.
What You’ll Actually Do
Run AI visibility tests and produce actionable reports
Map information gaps and hallucinations
Rewrite and restructure brand narratives for AI ingestion
Create GEO-ready articles, landing pages, FAQs, glossaries, summaries
Produce UX-style microcopy that machines understand clearly
Work with schema markup, structured data, and category frameworks
Analyze Reddit/Quora/communities for missing or misleading narratives
Build content ecosystems across the open web
Collaborate closely with Whitebox (GEO tech) to implement updates
Measure changes in AI answers and optimize continuously
Run content experiments to influence retrieval patterns
This is a maker role.
You ship things every week.
Who We Are Looking For
People who know how the internet actually works — not just theoretically.
You might come from SEO, content strategy, UX writing, social, or editorial.
Or you’re a hybrid who knows a bit of everything.
You are a fit if:
You understand how Google, Reddit, YouTube, Quora, and forums structure information
You can write — clear, structured, relevant, machine-friendly
You are comfortable creating content from scratch
You know basic SEO mechanics (intent, structure, metadata, internal linking, etc.)
You enjoy turning messy information into clean architecture
You think fast, fix fast, and publish fast
You prefer action over meetings
You are curious about how AI retrieves, ranks, and presents content
You can spot weak answers, missing facts, and misleading narratives instantly
You are comfortable working in iterative loops (audit → fix → test → improve)
Great if you have experience with:
keyword logic
schema.org
UX writing frameworks
community platforms (Reddit, Discord, forums)
online reputation repair
structured content (tables, lists, frameworks, fact sheets)
What We Don’t Do
endless alignment calls
overly academic AI speculation
“please make a 60-page deck about it”
presentation theatre
internal noise
work that doesn’t ship
We are a high-performance, builder-driven team.
What You Get
Deep access to Whitebox (our GEO engine)
The chance to influence how millions of AI answers are written
Ownership over your projects from day one
Flexible work (remote, Munich, Hamburg)
A team of strategists, engineers, writers, and culture minds
Fast cycles, low bureaucracy, real execution
Workshops, labs, experimentation
Fair, transparent compensation
This is a role where your work is visible — in real AI outputs, within days.
How to Apply
Send us a short message:
Who you are
What digital ecosystems you understand well (Google, Reddit, etc.)
Why the idea of influencing AI answers excites you
A link to anything you’ve written, fixed, optimized, or structured
CV optional.
We care more about how you think and what you can build.