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Notizen dazu, wie man mehr Anfragen gewinnt und mehr davon abschließt.
Praxisartikel zu Leadgenerierung, lokalem Marketing, Bewertungen, Compliance und KI für Unternehmen in Deutschland. Wo wir Zahlen nennen, geben wir die Quelle an; sonst erklären wir den Mechanismus.
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- Anfragen · KI
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- 22. Sept. 2026
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What a lead generation retainer should include, and what to ask before you sign
A practical checklist for German businesses comparing lead generation agencies: scope, costs, ownership, reporting, and exit terms.
Collecting reviews in Germany: what's allowed, and what gets you a warning letter
How to ask customers for reviews in Germany without breaking the UWG, the GDPR, or Google's rules: consent, no gating, no incentives, and disclosure.
Speed to lead: why response time decides which enquiries you win
Why the first business to respond often wins the customer, and how to answer every enquiry quickly without hiring a night shift.
Why structured prompts beat conversational prompts — the mechanics of faster AI workflows
Structured prompts collapse the iteration loop that wastes most AI time. Here's the mechanism, what the research says, and how to apply it to your daily work.
The real cost of an AI workflow is your time, not the API bill
Most people optimise the wrong cost when they think about AI. Why a software subscription is rounding error next to your billable hour.
The case for an AI agent on your homepage — why contact forms underperform
Contact forms ask visitors to compose a message and wait. An AI agent answers in the moment. Here's the conversion mechanics behind the difference.
The economics of AI-assisted customer support — what changes when tier-1 is automated
Most SaaS support volume is tier-1 — repetitive, well-documented questions. AI agents handle this without losing CSAT. Here's how the economics shift.
Internal AI for output, external AI for inbound — the two halves of a complete stack
Most teams pick one AI use case and stop. The compounding effect comes from running internal generation and external automation in parallel.