GFIS Research
Evidence-based
field reports.
GFIS deconstructs each question through structured analysis, then separates signal from noise with gestalt classification. Patterns with traceable evidence chains and explicit confidence logic.
17
reports
13,337+
sources total
185+
patterns identified
GFIS — Research Intelligence for Marketing Agencies
GFIS isn’t just faster research—it’s deeper market insight. Hidden narratives, category tensions, and actionable insights for marketing agencies.
GFIS System Overview & Pitch 2026 — Gestalt Field Intelligence System
GFIS’s 7-phase pipeline, 4 source layers, competition protection, and service packages. Not a “better chatbot”—a different type of knowledge. L1/L2/L3 levels of analysis, attributed confidence system.
Gestalt Marketing Synthesis 2026 — System 0 and the Signal-to-Noise Crisis
System 0, the signal-to-noise crisis, the anxious consumer, and the uncertainty trap. Rewriting the fundamentals of marketing in 2026. The practical application of Gestalt principles to brand building and communication.
Gestalt World Diagnosis 2026 — What is the figure? What is the background? What is the sign? What is the noise?
A complete reconstruction of the attention ecology of the post-COVID and AI era. System 0, neurological basis, epistemic fragmentation, Friston-Gestalt bridge. 6 research strands, 2,355 books, WSEARCH + SSEARCH + CSEARCH.
Túró Rudi — Phantom Original Paradox · GFIS Case Study 2026
Why do we feel a stronger connection to something that is no longer authentic? A GFIS-level deconstruction of the digital narrative field of Túró Rudi: scandal as a brand-building force, generational handover, Pöttyős vs. Túró Rudi, and what this tells us about marketing, field analysis, and content creation. GFIS Score: 8.7/10.
MBH Bank — A Three-Pronged Crisis of Confidence · GFIS Case Study
Functional + political + narrative crisis. IT Chronology 2020–2026. L3 hidden narratives: Three-headed dragon IT-lag, Counter-OTP trap, Transitional bank. Highest GFIS Score: 9.2/10.
Kefir Market Analysis — The 15% Problem · GFIS Case Study
The Trianon cap, ALDI Milfina as a beloved brand, Caucasian kefir as a cultural icon. What the synthetic panel wouldn’t see. Four-source triangulation, L3 narratives, synthetic personas. GFIS Score: 8.7/10.
Zero-Click & AI Overview — Sector Analysis in the Hungarian Context
58.5% of searches end without a click. LLMO strategy. Analysis of 14 industry sectors: financial services, healthcare, legal, education, travel, tech, FMCG, real estate, e-commerce, media, automotive, luxury, local services, and entertainment.
AI Slop V2 — The Age of Cognitive Scenery
Five theses on what AI does to humans: the economy of promise, identity prosthesis, cognitive offloading, disinformation convergence, the moment of convergence. GFIS research synthesis — SEXTANT, PARALLAX, REVERSAL + Corpus V2 RAG (1.48 million text excerpts). V1 is a theoretical framework built on an empirical foundation.
AI Agents 2026 — The Grand Promise and the Harsh Reality
400+ sources, 65 languages, 71 books. 95% of pilot projects fail, but the remaining 5% transform industries. GFIS v7b research synthesis.
LLMOFUTURE — The Future of Search: Synthesis 2026
9 research papers, ~42,000 words, 150+ statistics. The fundamentals of search are changing: SEO, GEO, AEO, LLMO—and the zero-click crisis, which is already underway.
The Future of RAG: From Corporate Knowledge Base to Autonomous Knowledge System
RAGFUTURE Synthesis — 300+ sources, 7 languages, 5 GFIS modules. Six generations of RAG, market data ($9.9 billion market by 2030, 38% CAGR), agentic systems, a global perspective, and an action plan for business leaders. 2026 is the critical decision window.
SPKM Synthesis — The Complete Map of the PKM + Personal AI Ecosystem 2026
12 research agents, 65 languages, 3,000 books, 27+ tools, 8 methodologies — a comprehensive overview of the personal knowledge management and AI ecosystem. GFIS v7b synthesis.
Zero-Click Search 2026 — The Age of Invisible Traffic Leakage
In 58.5% of Google searches, users never click on anything—and AI-powered answer generation can increase this rate to 93%. Systematic synthesis from over 200 sources, in 9 languages, based on an analysis of 28 books.
The Real Impact of AI Slop — What Do the Numbers Show, and What’s Next?
23 empirical studies, 110+ sources. Most of the internet is no longer human-generated. How is machine-generated content flooding search engines, opinion platforms, and academic publishing—and what is the feedback loop that makes it so difficult to break free?
RAG Architecture for Enterprise Knowledge Management
How can we build a Retrieval-Augmented Generation system based on the organization’s own knowledge base? Chunking strategies, embedding selection, hybrid search, and quality assurance.
GEO/AEO Optimization 2026: What Does AI Say?
What kind of content do AI search engines (ChatGPT, Gemini, Perplexity) cite? Source selection, Schema.org, authority signals, and rethinking content strategy.
Method
How these reports are built
Every report runs through the GFIS pipeline: first, structured deconstruction before search begins. Then multi-source evidence collection from web and RAG corpora, gestalt figure/ground/noise classification, and iterative synthesis passes.
Rule-based and recursive language-model extraction run in parallel. Adversarial blind-spot analysis probes what the first pass missed, while Bayesian noise modeling calibrates confidence over time. Output includes a field report, evidence pack, and traceable claim logic for executive decisions.