Technical SEO – the foundation
What an AI crawler can't reach, render and parse, it can't cite. I steer crawl budget, analyze log files and automate with Python – on projects up to 20 million pages.
SEO gets you to position 1. GEO gets you into the answer.
I'm 
Eugen Ullrich, GEO & AI Visibility Strategist. I measure, per engine, where your brand is missing from AI answers, and I close the gap – on a foundation of technical SEO since 2016, up to 20 million pages.
Request a project Run the business case
Measured in
Tools
- Peec.ai
- Screaming Frog
- Sistrix
- Ahrefs
- Python
- SQL
- Looker Studio
Visibility isn't an end in itself for me. It should bring inquiries and revenue, and that's what I aim every measure at. I work at the intersection of classic search and AI answer engines. More and more buying decisions start there: in ChatGPT, Perplexity and Google's AI Overviews instead of the classic results list. Between your Google position and the citation in an AI answer there's now a measurable gap. I measure it and close it.
How to hire me
I work as an independent consultant, no agency layer in between: you talk directly to the person who does the measuring and the implementation. Three formats, depending on where you are.
1. GEO audit – the entry point
I measure, per engine, where your brand is missing from AI answers and where your competitors stand, then sort the gaps by impact and effort in a prioritization matrix. Fixed scope, fixed timeline – for brands that want clarity on the gap first.
2. GEO program – the ongoing engagement
Measure, prioritize, implement on a monthly cadence, with a competitive benchmark and C-level reporting. The project ends with an internal GEO knowledge base your team keeps using without me.
3. Technical SEO for large platforms
Crawl budget, log analysis, Python automation, hreflang for international markets – built for e-commerce sites and portals of up to 20 million pages. The foundation that makes every AI citation possible in the first place.
Three levels that build on each other
GEO – the lever
On that foundation I measure, per engine, which answers your brand appears in – and which ones the competition holds. Through prompt-level analysis and clean entities your brand gets cited in ChatGPT, Claude, Gemini and Perplexity.
E-commerce and international markets – the goal
In the end it's revenue, not visibility. The pipeline scales to category and facet pages and, via hreflang, into further markets – from classic search and from AI answers.
SEO secures the search. GEO secures the answer.
Classic SEO brings you ranking traffic from Google search. GEO brings you mentions in AI generators. Both channels draw on the same technical and editorial base – GEO simply extends your reach by the new AI layer.
BASE Your content
& your entities
& your entities
CLASSIC SEARCH · SECURED BY SEO Organic clicks (Google Top 3)
AI ANSWERS · OPTIMIZED BY GEO Citations & recommendations (ChatGPT / Perplexity / AI Overviews)
ONE FOUNDATION, TWO CHANNELS · ONLY BOTH TOGETHER COVER THE WHOLE MARKET
What does it cost you when ChatGPT names the competitor?
Two minutes, your key figures, three scenarios from conservative to optimistic. Based on sourced market data, every assumption disclosed in the result.
How I work
01
Measure
Capture visibility at the prompt level: which brand appears in which AI answer and which doesn't.
02
Prioritize
Sort gaps by impact and effort in a prioritization matrix. No generic best practices.
03
Implement
Build content and technology so language models find, understand and cite the right facts about your brand.
01 · CRAWL & PARSEBot access & rendering
02 · CONTENT & SCHEMAStructured data & entities
03 · CONSENSUS & PRESENCEThird-party sources & brand mentions
04 · MODEL SYNTHESISModel attributes facts to the brand
05 · AI CITATIONBrand mention & citation
AN AI AGENT DOESN'T SEE YOUR DESIGN, IT READS YOUR WEBSITE'S FLOOR PLAN. IF ONE STAGE BREAKS, THE CHAIN ENDS.
Principle: flexible data collection, deterministic score calculation. Every hypothesis traces back to prompt-level data. No assumptions without a data basis.
The tool for measuring: the Prompt Library Open methods and data: Research The tools behind it, in production: Lab
What stays with you
Many consulting projects end with a slide deck no one opens three months later. With me, a project ends with an internal GEO knowledge base for your team. It's built from the knowledge base I work with myself; from it I configure your version: strategy, mapping content to page types, requirements per content class, plus prompts and workflows for your stack. Your marketing runs with it without me. What keeps moving are the engines – so on request I take over measuring and maintaining the base in ongoing operation.
Latest insights
- Optimizing your website for AI agents: why clean HTML beats any AI file
An AI agent doesn't see your design, it reads your website's floor plan.
- Mentioned Isn't Cited: What 1,620 AI Answers Reveal About Brand Visibility in DACH
In AI answers, being named and being cited come apart.
- Google's AI Overview barely cites Maps reviews – and the patent behind the claim has lapsed
Two Google patents are being chained into a GEO thesis right now.
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