What is GEO? Why AI engines now decide who finds your business

A quiet shift is happening in how customers find businesses: they've stopped searching and started asking. Not "POS system France comparison" in Google, but "which POS system should a halal supermarket in Paris use?" — typed into ChatGPT or Perplexity, which answers with two or three names. If yours isn't one of them, you didn't lose a ranking position; you were never in the room.

That's the problem GEO — Generative Engine Optimization — exists to solve. Here's what it actually is, without the hype, and what we do about it in practice (including on this very website).

How AI engines choose who to recommend

When an AI assistant answers a business question, it draws on two things: what it learned in training, and what it reads live from the web at answer time. In both cases, it favors sources that are unambiguous (it knows exactly what entity you are), structured (facts it can extract without guessing), and quotable (clear declarative sentences it can lift into an answer). Fluffy marketing prose — "we deliver innovative solutions that transform businesses" — gives an AI nothing to quote. A sentence like "the platform runs 1,300+ API endpoints in production and is NF525-compliant" does.

The four layers of GEO, in practice

1. A coherent entity. AI engines cross-reference: your website, Google Business, LinkedIn, registries, Wikidata. If your name, description and facts match everywhere, you become a solid node in their knowledge graph. If they conflict — different names, different claims — you dissolve into noise. One canonical name, one description, everywhere.

2. Machine-readable facts. Structured data (Schema.org) tells engines what your pages mean, not just what they say: organization, person, services, prices, FAQs. A newer convention, the llms.txt file, goes further — a plain-text briefing about your business placed at your site root, written specifically for AI crawlers. Ours lists who we are, what we build, real prices and registry identifiers; when an AI reads it, there's nothing to guess.

3. Quotable content. Articles that answer real questions with real numbers, in declarative sentences. FAQ blocks matter twice: humans skim them, and engines lift them wholesale into answers. Comparison and "how much does X cost" pages are the most-quoted formats of all — because those are the questions people actually ask AIs.

4. Classic technical SEO underneath. AI engines crawl the same web Google does. Fast pages, clean URLs per language, sitemaps, correct hreflang — none of it became optional. GEO is a layer on top of SEO, not a replacement.

What this means if you run a business

You don't need to understand embeddings or crawlers. You need three honest questions answered: Is your business a consistent, verifiable entity across the web? Can a machine extract your key facts without interpreting marketing prose? And when someone asks an AI the question your business is the answer to — does your content actually contain that answer, stated plainly?

We build sites with GEO in the architecture — structured data, llms.txt, entity consistency, quotable multilingual content — because we'd rather our clients be the answer than the alternative. If you want to know where your business stands today, that's a thirty-minute discovery call: we'll show you exactly what the AI engines currently see when they look at you.