Arrow 
The search behavior changed
Prospects now ask AI engines questions like who is the best provider, what company is reliable, what service should I choose, and which option fits my situation. If a brand has no answer-ready pages, no clear entity profile, and no proof that can be cited, the AI system has very little reason to mention it.
What the France DPE example proves
The relevant lesson is not that one prompt produces one result. The lesson is that local service categories can now generate leads through AI answers when the company has clear pages, strong positioning, and enough public context for an AI system to connect the brand to the query.
The Arrow AI GEO method
Arrow builds a visibility layer around service pages, local intent, question pages, comparison pages, schema, internal links, and proof. The goal is simple: make the company readable for humans and machines at the same time.
What companies should build first
Start with the questions buyers already ask. Turn each question into a useful page. Add proof, service scope, geographic context, FAQs, internal links, and structured data. Then connect the content to the offer and conversion flow.
Keep exploring the Arrow AI system.
Build topical authority around GEO and custom AI systems.
Put it into practice
Reading is step one. The audit is step two.
See how AI engines describe your brand today — free, in two minutes.