Aurora is the GEO platform (generative engine optimization, also called AEO or LLMO) that measures whether AI assistants recommend your brand — and shows you what to change so they do.
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Aurora checks your brand across the AI engines your buyers actually use — not just the obvious ones.
Aurora tracks: ChatGPT · Perplexity · Gemini · Google AI Overviews · Google AI Mode · Yandex
Aurora Intelligence combines high-level insights with collaboration for your business, team, and clients
Comprehensive tools to monitor, analyze, and improve how AI platforms see and mention your brand
| Prompt | Search Engine | Keyword | Source |
|---|---|---|---|
| Welcher Internetanbieter ist zurzeit der beste in der Schweiz? | ChatGPTPerplexityGemini | internet18 times | 76.3%comparis.ch |
| Welche Handy-Abos sind weltweit unlimitiert? | ChatGPTPerplexity | handy-abo12 times | 52.9%yallo.ch |
| Welcher Anbieter hat das beste Glasfaser-Netz? | ChatGPTGeminiPerplexity | glasfaser9 times | 47.6%connect-professional.ch |
| Wie bekomme ich unbegrenzte Daten in der Schweiz? | ChatGPTPerplexity | daten7 times | 41.5%mtel.ch |
Agencies across Switzerland and Germany trust Aurora Intelligence
Swiss agencies trust Aurora Intelligence for GEO tracking and AI search visibility
“Aurora Intelligence has become essential for our client reporting. We can now show exactly how brands perform in AI search results — something no other tool offered us before. The GEO tracking data gives our campaigns measurable impact.”
Simon Künzler
Co-CEO & Co-Founder, Xeit AG
“Aurora gives us instant clarity on AI search visibility for our client brands. The competitor benchmarking and keyword gap analysis have directly improved our GEO optimization strategies.”
Simon Ritter
COO, ADCONNECT
Leading research firms confirm the growing importance of Generative Engine Optimization
“By 2026, traditional search engine volume will drop 25%, with search marketing losing market share to AI chatbots and other virtual agents.”
— Gartner, 2024

llms.txt was step one and it is running out of road. A four-layer machine-readable content architecture — JSON-LD, entity relationships, content APIs, provenance metadata — and a 90-day minimum viable implementation.

70% of SEO teams understand the AI transition. Only 30% have restructured. The 40-point gap between knowing and doing is the actual failure mode. A four-phase sequencing model and a 90-day scorecard.

AI gives every practitioner the vocabulary of expertise. Expertise itself is built through unaided reps on hard problems. Why Layer 1 fluency masks Layer 2 collapse, and how to position GEO work in the layers that compound.
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