Research & Insights
Cutting-edge research on AI visibility, LLM brand recommendations, and the future of generative engine optimization. All research is free and open-access under CC BY 4.0.
Google-First Poland: Field Notes on Where Buyers Start With AI
A live Warsaw poll says Poland starts search inside Google's ecosystem (75%), with Gemini ahead of ChatGPT. Our 46-brand, 17,891-citation study adds the measured part: YouTube is the only channel where every brand appears, and two ice-cream brands show how differently AI builds a reputation from sources.
One in Every Nine Sources AI Uses to Describe Polish Brands Is a Job Board No Marketer Owns
We pulled 17,891 cited sources that AI uses to describe 46 Polish consumer brands across three frontier models with grounding on. After stripping brand-owned domains, four HR portals (livecareer.pl, pl.indeed.com, interviewme.pl, randstad.pl) carry 460 citations between them, 10.6% of the TOP 20 cross-cutting domains. That makes employer-reputation the third largest source category AI relies on for Polish brands, ahead of Wikipedia, Business Insider PL, and Forbes PL. None of these pages is owned by marketing or PR.
Gemini 3.5 Flash: Google’s Great Grounding Leap and What It Means for CMOs
A full-scale replication study analyzing 1,239 grounding citations from Google’s newly released Gemini 3.5 Flash across the 66-brand Nordic-Baltic-CEE Index. We map how Google has closed the citation gap.
PR Guide for AI Validation in Northern Europe
Tier-1 publishers dictate brand visibility in AI systems. We mapped the geographic dependencies of AI validation in Northern Europe, proving that cross-border business journalism drives model grounding far more than local press releases.
The New Social Media Rules for Generative AI
Traditional social media feeds are invisible to generative AI. Our analysis of Northern European brands reveals that YouTube and Reddit dominate social citations, while platforms like Instagram and X provide zero meaningful validation.
The B2B Owned Media Advantage in AI Search
Business-to-business companies achieve a 20.1% owned-media visibility share in generative AI systems, compared to just 13.4% for B2C brands. We dive into how sectors like Aviation, Energy, and Fintech dominate AI citations through structured utility content.
MemPalace Scores 96.6% on LongMemEval. We Ran the Same Benchmark. Structured Extraction Scored Higher.
We reproduced the MemPalace LongMemEval benchmark with four retrieval approaches on 500 questions across all 6 LongMemEval types. Structured knowledge extraction (SECI model) scored 93.9% R@5 vs 92.1% for raw verbatim storage. The key finding: the embedding model truncates at 256 tokens, but sessions average 10,000 characters. Raw storage loses 90% of content at the embedding layer. Extraction condenses the full session into the embedding window.
PersonaGen-Enterprise: B2B Buying Intelligence Dataset on HuggingFace
5,000 enterprise B2B buyer personas with full buying committee modeling across 15 industries, 47,019 real search queries, and 7,500 competitive brand queries. Anonymized sample from 130K personas generated by 5 LLMs. CC BY 4.0 licensed.
Blog Posts: 0%. Podcasts: 0%. Video: 0%. What Enterprise Buyers Actually Ask AI For.
We analyzed 71,388 enterprise buyer personas across 15 industries and 4 LLMs. When evaluating vendors, buyers ask AI for case studies (20%), analyst reports (22%), whitepapers (19%), and ROI calculators (14%). Blog posts, podcasts, and video scored 0% across every pain point and every industry. Your content calendar may be full, but your pipeline is empty. The data explains why.
We Asked 3 AI Platforms About 24 Brands. They Could Not Agree on Anything.
The largest multi-industry study of AI reputation sourcing to date. 24 companies, 8 industries, 1,311 responses, 3,041 coded source attributions across GPT-5.2 and Gemini 3 Flash. Key finding: 70.2% of what AI "knows" about brands cannot be traced to any source. Models disagree on sentiment (0.83 vs 0.32), consistency averages just 0.54, and being publicly traded gives zero advantage. Published in Springer Discover Artificial Intelligence.
AEO and GEO: Why Strong SEO No Longer Guarantees AI Visibility
As 60% of web searches now end without a click, AI systems like Gemini, ChatGPT, and Perplexity have become the primary interface between buyers and brands. Traditional SEO - built for ranking in link-based results - does not address how large language models select, evaluate, and recommend brands. This article introduces Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) as the two disciplines that fill this gap, and outlines the four dimensions of AI visibility that determine whether your brand gets mentioned: memorability, message consistency, content structure, and value perception.
70% of AI Gift Recommendations Are Gender-Locked
150 queries on Valentine's Day 2026 across three AI models reveal 70% of brand recommendations are gender-exclusive. Gemini names 11.4 brands per response vs 1.3 for Grok and 1.2 for OpenAI. Only Away and Ember transcend gender silos. Female-framed prompts now get 16.2% more brands than male - the opposite of Christmas.
What AI Thinks Your Buyers Want: Insights from 1,031,732 Buyer Personas
We analyzed what AI actually believes about buyers across 500+ industries. Key findings from the largest buyer persona dataset ever published.
PersonaGen-15K: The First Open Dataset of AI-Generated Buyer Personas
15,000 buyer personas published on HuggingFace as a stratified sample of the full 1,031,732-persona dataset. Apache 2.0 licensed. 8.9 MB Parquet file. 25 industries. Built to validate what AI thinks your customers want - and to prove the methodology behind our commercial intelligence platform.
When AI Changes Its Mind About Gender: Three Studies Prove Bias Is Real, Systematic, and Seasonal
929 queries across three AI platforms and two gift-giving seasons provide strong statistical evidence: AI treats brands differently based on gender, and bias direction varies seasonally. Christmas reduces female-framed recommendations by 28-43%. Valentine's Day shows a modest reversal on Gemini, with female queries receiving 14.2% more brands. Same AI. Same brand universe. Context-dependent direction.
The 60-Second AI Readiness Test That Reveals Why You Are Not Getting Recommended
Five questions. 60 seconds. A score from 0 to 100 that tells you exactly why AI skips your brand. The calculator measures five behavioral dimensions against real industry data from 1,031,732 buyer personas. The average score is 28.6. Most brands do not know theirs.
Why Your Industry's AI Readiness Score Predicts Your Next Quarter's Content ROI
We ranked industries by AI readiness using 1,031,732 buyer personas. Grade A industries are saturated - every competitor knows how to win. Grade C industries are wide open. The playbook has not been written yet. Your industry's score predicts which strategy works.
Your CRM Personas Are Based on Who Already Buys. AI Personas Are Based on Who Is Searching.
We analyzed 1,031,732 real AI-generated buyer personas and built a tool that shows you the gap between your assumed audience and AI's assumed audience. That gap determines whether AI recommends you.
From Zero to AI-Visible: A Consistency Story in ChatGPT, Claude, Gemini, and Perplexity in 60 Days
We launched rankfor.ai and got accurate mentions across ChatGPT, Claude, Gemini, and Perplexity in 60 days. Here is the exact playbook we followed.
The "Best Of" Trap: Why Self-Promotional Listicles Are Losing Google and Winning ChatGPT
Three signals in one week: Google penalized self-promotional listicles (SaaS brands losing 34-49% visibility), reduced crawl limits by 86.7%, while Ahrefs found 44% of ChatGPT citations come from those exact listicles. Google is shrinking, AI is expanding. Includes a 5-minute brand audit playbook and split strategy for navigating both discovery systems.
The Academic Foundation of AI Visibility: From 2011 Research to 2026 Reality
How a Best Student Paper from 2011 on website structure analysis evolved into the methodology behind modern AI visibility measurement.
How to Sell AI Visibility to Your Clients: An Agency Guide
This is not a product presentation. This is how you close deals. Learn the 4-step process for selling AI visibility services: research the client website, run a Rankfor.AI scan, analyze personas and territories, and close with strategic questions.
Understanding AI Visibility Classification: The 8 States That Define How AI Sees Your Brand
Your brand is not just "visible" or "invisible" to AI. There are 8 distinct states - from Invisible to Category Leader - and each one requires a different strategy. This article explains the classification system behind the AI Visibility Score and how metric patterns determine your strategic diagnosis.
My Website Had a Secret Fruit Business and I Had No Idea
This is the story of how I, founder of GreenMuru, discovered my own lawn care website was secretly telling AI it was about bananas. I had full control over what humans saw — zero control over what AI believed. Here's what I learned about the gap between your website and your AI reputation.
The State of AI Visibility: Why Brands Are Losing Control Inside AI Answers
Search didn't disappear. It stopped being the place where decisions happen. Traditional SEO assumed that if you ranked well, you would be discovered. AI doesn't work that way. This thought leadership piece defines why AI visibility matters and introduces the four dimensions of AI visibility: Presence, Relevance, Usefulness, and Trust.
Only 2 Brands Are Visible Across All AI Platforms. Is Yours One of Them?
We ran 480 queries across three AI platforms. Cross-model agreement on brand recommendations was only 10-45%. We identified 26 gender-locked brands, discovered that only LEGO and Disney achieve universal visibility, and found that AI recommends 41% fewer brands for wife queries than husband queries.
Cross-Model Response Stability Analysis: A Comparative Study of Brand Mention Consistency in Large Language Models
This study investigates response variability and brand mention consistency across three leading LLMs: Google Gemini 3 Flash, OpenAI GPT-5.2, and xAI Grok-4-1. Using 239 total samples across three prompt variations (husband, wife, 2025), we measured brand mention frequency, response consistency, and cross-model agreement.
Four-Prompt Gender Bias Analysis: Isolating Gender Effects in LLM Brand Recommendations
This study extends cross-prompt LLM brand consistency analysis by introducing a gender-neutral "partner" prompt to isolate gender bias effects. Comparing four prompt variations across 299 total samples, we provide strong evidence of gender-based brand recommendation bias in LLMs. Critical finding: Kindle appeared in 100% of wife AND partner iterations but 0% of husband iterations.
From SEO to Attention Management — The New Layer of Digital Strategy
Your brand ranks #1 on Google but ChatGPT never mentions you. That's the Zero-Click Crisis—60% of searches end without a click. Here's why AI Attention Management is the new competitive layer.
Why You Can't "Train" ChatGPT—And What to Do Instead
Every day, marketers waste hours trying to 'teach' ChatGPT about their brand. It's technically impossible. Here's why—and the strategy that actually works
Zero-Click Crisis Reshapes Digital Marketing
Zero-click searches surged from 26% to 60% between 2022 and 2024, with Google AI Overviews reducing clicks by 34.5% per query—threatening $2 billion in publisher revenue and causing a 37% drop in SEO job postings. Yet AI search visitors convert at rates 23 times higher than organic traffic, revealing that traditional traffic metrics no longer predict business outcomes. The shift demands evolving from traffic acquisition to influence building, with success measured through AI visibility, brand mentions in LLM responses, and conversion quality over click volume.
Why AI Recommends Your Competitors (And How to Fix It)
73% of top-10 Google-ranked brands don't appear when AI tools recommend solutions, because AI systems require structured relationship data between capabilities and customer problems—not just keyword-optimized content. Companies like HubSpot achieve 80% ROI by making their expertise machine-readable through connected content maps that show how features, use cases, and outcomes relate. Brands that optimize for AI visibility now report 40% higher mention rates within 90 days, while competitors who delay face growing invisibility in the fastest-growing discovery channel
The End of Search as We Know It: Your AI Visibility Guide
60% of Google searches now end without a click as AI provides direct answers in search results and chat interfaces. Traditional SEO optimizes for rankings, but AI visibility requires optimizing for recommendation—ensuring AI systems understand and cite your brand when prospects ask buying questions. This shift from Search Engine Optimization (SEO) to Generative Engine Optimization (GEO) requires new metrics, structured content strategies, and a focus on semantic authority over keyword rankings.
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