Blog
Understanding GEO, without the jargon.
Our analysis on how brands become citable by AI. Benchmarks, method and field notes.
-
Multilingual migration: FR EN NL native vs literal translation
Proema Insight study on multilingual native vs literal translation. PGSM v1.0 method, 3 languages compared, H1 2026 period.
Read the article → -
How to remove a banned brand from a 4,500-page corpus
Proema Insight study on remove banned brand from 4,500 pages. PGSM v1.0 method, 4,500 pages to scan, 3-day period.
Read the article → -
How Google AI Mode will reshuffle the search deck
Proema Insight study on Google AI Mode. PGSM v1.0 method, lancement mars 2025, period impact 2026.
Read the article → -
GEO agency site: 1,800 static HTML pages, optimised
Proema Insight study on GEO agency site 1,800 pages. PGSM v1.0 method, 1 800 pages HTML statiques, period H1 2026.
Read the article → -
PGSM v1.0 explained: the first open-source GEO methodology
PROEMA Generative Search Methodology v1.0 is the first GEO methodology published as open source. Five pillars, 35 control points, free of rights.
Read the article → -
Anatomy of a ChatGPT citation in 2026
Proema Insight study on anatomy of a ChatGPT citation. PGSM v1.0 method, 5 facteurs, period observation 6 mois.
Read the article → -
Proema Insight: tracking 200 prompts across 5 engines
Proema Insight study on Proema Insight. PGSM v1.0 method, 200 prompts across 5 engines, monthly period.
Read the article → -
Editorial density as a GEO moat
Editorial density, namely the volume of structured content on a vertical, became in 2026 the most defendable moat of a GEO strategy.
Read the article → -
The AI Overviews boom: from 13% to 47% in 18 months
Proema Insight study on AI Overviews boom. PGSM v1.0 method, 13 to 47% in 18 months, period Jan 2024 to June 2026.
Read the article → -
Definition-first writing: the golden rule of LLM-citable FAQs
Definition-first writing puts the short definition at the top and structures the rest around it. The golden rule of LLM-citable FAQs.
Read the article → -
How to measure the ROI of a GEO strategy
Proema Insight study on ROI of a GEO strategy. PGSM v1.0 method, 3 calculation models, 18-month horizon.
Read the article → -
Trilingual hreflang: the reciprocity 80% of sites miss
Trilingual hreflang reciprocity is a technical detail that determines whether Google and LLMs understand a site has three equivalent language versions. 80% of B2B sites miss it.
Read the article → -
Cloudflare AI Crawl Control: real-time monitoring of AI bots
Proema Insight study on Cloudflare AI Crawl Control. PGSM v1.0 method, 15 bots monitored, continuous period.
Read the article → -
EU AI Act regulation and GEO strategy: Article 50 explained
Proema Insight study on EU AI Act Article 50. PGSM v1.0 method, 4 obligations, August 2026 period.
Read the article → -
AI Overviews at 47% of SERPs: what it changes for classic SEO
AI Overviews moved from 13% to 47% of Google SERPs in 18 months. This structural shift redefines what SEO means in 2026.
Read the article → -
IndexNow: 90 seconds to notify ChatGPT and Bing of an update
Proema Insight study on IndexNow. PGSM v1.0 method, notification < 90 secondes, period setup 30 min.
Read the article → -
Generative Engine Optimization vs Answer Engine Optimization: nuances
Proema Insight study on GEO vs AEO. PGSM v1.0 method, 3 key differences, conceptual distinction period.
Read the article → -
Wikidata for B2B brands: the base every LLM consults
Wikidata is the knowledge base ChatGPT, Claude, Perplexity, Gemini and Copilot consult by default. A B2B brand without a Wikidata entity in 2026 leaves a free citation channel on the table.
Read the article → -
JSON-LD @graph: the structure LLMs love
Proema Insight study on JSON-LD @graph. PGSM v1.0 method, 22 linked types, 2-day refactor period.
Read the article → -
Why block GPTBot but allow OAI-SearchBot, the 2026 robots.txt pattern
PROEMA 2026 robots.txt pattern: block training crawlers (GPTBot) while allowing real-time retrieval crawlers (OAI-SearchBot, PerplexityBot). IP logic + maximized GEO. Complete configuration.
Read the article → -
EU AI Act Article 50, the exception that saves your AI marketing (human review + editorial responsibility)
Article 50 §4 EU AI Act provides a transparency exception: AI-assisted content under human review and editorial responsibility does not require a global disclaimer. How PROEMA structures this compliance, operational legal analysis.
Read the article → -
FAQPage Schema removed by Google on May 7, 2026, why we keep it anyway
Google removes FAQPage rich results from SERP. But our SEOscore cross-study shows +22% LLM citations for pages with FAQPage Schema. Why PROEMA keeps the markup in place.
Read the article → -
State of GEO in Belgium 2026, first PROEMA barometer
First Belgian GEO barometer, 50 brands measured across 6 LLMs. 80% of B2B BE verticals are empty on llms.txt and structured Schema.org. The first-mover window is open.
Read the article → -
The GEO score is not a trade secret, it is methodological discipline
Why PROEMA openly publishes the 12 structural indicators composing its GEO score. What constitutes our IP is not the formula, it is quarterly 360° measurement rigor, target prompt curation, editorial arbitration.
Read the article → -
llms.txt vs llms-full.txt vs llms-context.html: when to use which
llms.txt, llms-full.txt, llms-context.html: three files, three uses, one confusion to avoid. The guide that cleanly separates them.
Read the article → -
PROEMA is not comparable to a €590/month GEO offering, here's why (factual)
Factual comparison between PROEMA's 12-month GEO Package and €590/month GEO offerings circulating on the market. Scope, method, deliverables, guarantees, KPIs: what separates two different service logics.
Read the article → -
Reddit cited #1 by ChatGPT, the blind spot brands miss in 2026
Reddit became ChatGPT's #1 cited source in 2026, ahead of Wikipedia. Most brands ignore the lever. Here is how to operate Reddit and Quora in a GEO strategy without bots, without manipulation, with measurable impact.
Read the article → -
Schema.org Author Person + Wikidata = +33 citation confidence points, how to do it
Technical tutorial: the Schema.org Author Person + sameAs Wikidata combination is the most powerful confidence multiplier for LLM citation in 2026. +33 points measured on 200 PROEMA pages. Step-by-step implementation.
Read the article → -
The French-speaking GEO market: opportunities and fault lines
Proema Insight study on French-speaking GEO market. PGSM v1.0 method, BE + FR + CH + LU, period H2 2026.
Read the article → -
Schema FAQPage vs Schema Article: which to choose in 2026
Proema Insight study on FAQPage vs Article Schema. PGSM v1.0 method, 8-criteria comparison, choice made page by page.
Read the article → -
Dense Schema.org: why 22 types per page is the new standard
Twenty-two Schema.org types per page is no longer a geek SEO quirk. In 2026 it became the reference threshold for B2B GEO-native sites. Why and how to reach it.
Read the article → -
State of GEO in May 2026, where do premium B2B brands actually stand?
1.6 billion ChatGPT queries per day. 30% of searches inside a chatbot. Factual audit on premium B2B brands and the five GEO indicators that matter in May 2026.
Read the article → -
Perfect llms.txt setup: a step-by-step walkthrough
Proema Insight study on step-by-step llms.txt setup. PGSM v1.0 method, 6 steps, 45-minute period.
Read the article → -
The 2026 robots.txt pattern: Allow search, Disallow training, step by step
The robots.txt pattern that took hold in 2026 splits two AI bot uses: live search (allow) and training (disallow). A how-to.
Read the article → -
How to write an llms.txt file that maximises your AI citations
Operational guide for an llms.txt file, origin of the standard, recommended structure, six common audit errors, commented example from proema.be/llms.txt.
Read the article → -
The 35 points of the PROEMA GEO Checklist, detailed
Proema Insight study on 35-point GEO checklist. PGSM v1.0 method, 5 pillars x 7 points, 90-minute audit period.
Read the article → -
How Perplexity picks its sources: a 1,000-query analysis
Analysis of 1,000 sector-specific Perplexity queries in French-speaking B2B verticals. Five source families dominate, in a deterministic order every CMO should know.
Read the article → -
Why MentionLab, Profound and Peec aren't enough to drive GEO
Proema Insight study on MentionLab, Profound, Peec. PGSM v1.0 method, 3 tools compared, 2026 evaluation period.
Read the article → -
How to read an AI citation tracking dashboard
Proema Insight study on AI citation tracking dashboard. PGSM v1.0 method, 12 KPIs shown, weekly period.
Read the article → -
Citation rate vs share of voice: what LLMs actually measure
Citation rate and share of voice do not measure the same thing. The nuance determines what a brand can steer in GEO and what it inherits.
Read the article → -
State of GEO in Belgium, mid-2026
Proema Insight study on state of GEO in Belgium. PGSM v1.0 method, 500 BE sites audited, June 2026 period.
Read the article → -
5-day GEO audit: the PROEMA method
Proema Insight study on 5-day GEO audit. PGSM v1.0 method, day 1 to day 5, 5-day period.
Read the article → -
The 18-36 month first-mover window: why 2026 is the pivotal year for GEO
The GEO first-mover window closes between 18 and 36 months. Why 2026 is the pivot point, what changes concretely, and how to decide whether to act now or later.
Read the article → -
Anatomy of a Perplexity citation, what makes one brand get cited rather than another?
Five measurable factors that decide which brand is cited by Perplexity. Three working examples drawn from specialty-coffee, premium B2B services and Brussels hospitality panels.
Read the article →