01
AEO content structuring
↓
Content shaped for ChatGPT, Perplexity, Gemini, Microsoft Copilot and Google AI Overviews to extract and cite — clear answers up top, source-of-claim visible, entities named.
/// Service 03 / Leistung 03 · Retainer · AI-search growth field
GEO & SXO — Visibility in AI Answers
Cited in ChatGPT, Perplexity, and Google AI Overviews.
§ Services · Four pillars + live dashboard
Cited in ChatGPT, Perplexity, and Google AI Overviews.
Search is splitting into two surfaces. Classic results — ten blue links — still drive traffic, but a growing share of buyer intent now resolves inside ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot before the user ever sees a search results page. Those systems don't rank pages — they cite sources. Being in those citations is the new front page. GEO (Generative Engine Optimization) is the work of structuring your site for that citation surface — clear answers placed where they are extractable, named entities, citable data points, FAQ and HowTo schema, and the infrastructure files (llms.txt, per-vendor robots.txt) that tell AI crawlers your site is ready to ingest. SXO (Search Experience Optimization) is the other half: maximise Core Web Vitals and conversion so the visibility, once earned, turns into revenue. We do both — and track each AI engine's citation behaviour monthly so you see exactly which queries cite you, which competitors got there first, and where the gap is. The 2026 data makes the urgency concrete: AI Overviews appear on nearly half of all queries (BrightEdge) and reach 2.5 billion users a month, Google's AI Mode passed a billion users in its first year — and where an AI Overview appears, top organic results lose 34–64% of their clicks (Pew Research, BrightEdge).
§ The challenge · the solution
Where it sticks — and how we solve it.
The challenge
Search is splitting into two surfaces. Classic results — ten blue links — still drive traffic, but a growing share of buyer intent now resolves inside ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot before the user ever sees a search results page. Those systems don't rank pages — they cite sources. Being in those citations is the new front page. GEO (Generative Engine Optimization) is the work of structuring your site for that citation surface — clear answers placed where they are extractable, named entities, citable data points, FAQ and HowTo schema, and the infrastructure files (llms.txt, per-vendor robots.txt) that tell AI crawlers your site is ready to ingest. SXO (Search Experience Optimization) is the other half: maximise Core Web Vitals and conversion so the visibility, once earned, turns into revenue. We do both — and track each AI engine's citation behaviour monthly so you see exactly which queries cite you, which competitors got there first, and where the gap is. The 2026 data makes the urgency concrete: AI Overviews appear on nearly half of all queries (BrightEdge) and reach 2.5 billion users a month, Google's AI Mode passed a billion users in its first year — and where an AI Overview appears, top organic results lose 34–64% of their clicks (Pew Research, BrightEdge).
Our approach
Cited in ChatGPT, Perplexity, and Google AI Overviews.
§ What's included · 6 parts
What's included
02
Citation tracking
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Monthly per-engine report: which queries cite you, with which snippet, which competitors got there first, where the next ten citations are sitting.
03
llms.txt + AI bot allowlist
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Spec-compliant llms.txt, robots.txt with per-vendor allowlist for GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Bingbot, Applebot, CCBot — the infrastructure that signals AI crawlers are welcome.
04
FAQ, HowTo & Answer schema
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Structured data AI systems favour for direct answers — implemented on the pages that should rank for your highest-intent queries.
05
Core Web Vitals & UX tuning
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Speed and stability that take both AI crawlers (which abandon slow pages) and real users (who bounce) seriously.
06
Conversion rate optimisation
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Server-side analytics, controlled experiments, decisions on confidence intervals — not gut feeling. Visibility without conversion is just traffic.
§ Proof · in numbers
Proof you can reproduce.
5
AI engines tracked monthly
7
AI crawlers explicitly allowed
monthly
Citation report per engine
§ Process · how this pillar runs
How this pillar runs.
1
Infrastructure & schema
llms.txt, per-vendor allowlist, FAQ/HowTo/Answer schema in place.
2
Content & SXO
Answers structured to be citable, entities named, Core Web Vitals tuned.
3
Tracking & iteration
Monthly per-engine citation report, next citations prioritised.
§ Related pillars
Rarely alone. Usually the foundation plus one.
01
New Sites & Migrations
Built on the stack Google rewards today.
Details →02
Multi-City Brand + SEO Catalog
Every city, every brand surface, every query — as one coordinated system.
Details →04
Content & Social — curated, fitted, optimised
Posts that belong to your brand and strategy — not to a per-unit price.
Details → § FAQ · common questions
Common questions.
What is the difference between GEO, AEO and classic SEO?
Classic SEO ranks pages in the ten blue links. AEO/GEO structures your site so AI systems like ChatGPT, Perplexity and Google AI Overviews cite it as a source — because those systems do not rank, they cite. We do both, because buyer intent increasingly resolves inside the AI answer before a results page ever appears.
Can we really measure whether ChatGPT cites us?
Yes. We track per AI engine, monthly, which queries cite you with which snippet, which competitors got there first, and where the next citations are sitting. It is a concrete report, not a hunch.
What is llms.txt and do we need it?
llms.txt is an infrastructure file that signals to AI crawlers which content is ready to ingest. Together with a per-vendor allowlist in robots.txt (GPTBot, ClaudeBot, PerplexityBot, Google-Extended and others) it is the technical foundation for being cited at all.
Is this worth it while classic search still works?
Especially then. Classic results still drive traffic — but the share of buyer intent tipping into AI answers is growing fast. Being in the citations early is cheaper than catching up later when competitors are already there.
§ Get started
Sound like your problem?
A short call clarifies whether this pillar is the right lever — or whether something else comes first. The free audit usually surfaces the picture already.