Proprietary method
The PROEMA method.
The GEO scoring method used by PROEMA (PGSM, PROEMA Geo Scoring Method) turns a vague question — "is our brand visible to AI?" — into a concrete score. The framework crosses 5 working pillars with 3 evaluation dimensions. You know where you stand, what is blocking you, and what is improving.
3 evaluation dimensions
Visibility
Does the AI find and retrieve your content?
Understanding
Does the AI extract a clear, attributable answer?
Preference
Does the AI cite you rather than a competitor?
5 working pillars
From audit to citation, in five levers.
- 01
Citable structure
Every page answers first, then explains. A direct answer at the top, criteria, comparisons, concrete examples, internal links. The format LLMs extract effortlessly.
- 02
Authority and evidence
Named author, sources, verifiable data, press mentions. Answer engines favour what they can attribute to a real authority.
- 03
Technical foundations
Schema.org in JSON-LD, llms.txt, next-generation robots.txt, hreflang, a clean sitemap. Content must be machine-readable before it can be persuasive to humans.
- 04
Semantic coverage
FAQs, glossaries, guides. We cover the real questions in your market, in the exact language in which they are asked to the engines.
- 05
Measurement and iteration
Citation testing across 5 engines at D+0, D+7, D+30 and D+90. The GEO score becomes a tracked indicator, not a guess.
Our commitment
We guarantee the score, not the luck.
AI models evolve constantly and nobody can promise a precise citation in ChatGPT or Gemini on a given date. What PROEMA guarantees is the measurable progression of your internal GEO score. The citation follows from that.
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What is your GEO score today?
The PROEMA diagnostic measures your 5 pillars and 3 dimensions, and identifies the first levers to activate.