We design content answer-first, structured data (Article/FAQ/Breadcrumb), and a map for models (llms.txt). We measure the effect with our own system (Rank Sentinel) — Google rankings and citability in models, with history tracking trends.
cashcrown // ai.data
AEO / GEO
citability in ChatGPT, Perplexity, AI Overviews.
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Problem
You need “AEO / GEO”, but building it in-house gets stuck on integrations, maintenance and lack of time — and the result tends to be fragile and hard to scale.
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What we build
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Process
- Sources and contract
We agree on sources, legality and the target data schema.
- ETL pipeline
Acquisition → normalization → dedup → validation, repeatably.
- Knowledge and search
Embeddings + semantic search; RAG over the results.
- Visibility monitoring
Rank tracking in Google and AEO; trends over time.
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Stack
scrapingA-ParserFirecrawlMeiliSearchembeddingsETL
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Related
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FAQ
How much does this service cost and when does it pay off?#
We work in ranges that depend on scope — we start with a fixed, low-cost pilot so you see the value before a larger investment. When the service takes back a dozen to several dozen hours of work a month, it usually pays off in 2–4 months. Calculate your concrete return in the ROI calculator; we don't quote fixed prices upfront because they depend on the actual scope.
Does it integrate with our systems and is it GDPR-compliant?#
Yes. We connect to your systems (CRM, email, databases, n8n) through controlled, allow-listed tools, and irreversible actions require confirmation (a human-gate). We mask PII before anything leaves for the cloud and handle sensitive paths locally — GDPR and AI Act compliance designed in from the start.
How do we start?#
With an audit and a pilot on one narrow scope with a measurable result. We show a working service before we ask for your trust — then expand the scope step by step. More on the approach: how to choose the first process.