https://open.rankfor.ai/resources/ Original research on AI visibility, generative engine optimization and how large language models talk about brands. Published open access by Rankfor.AI. en Sun, 26 Jul 2026 00:00:00 GMT © 2025-2026 Rankfor.AI https://open.rankfor.ai/resources/research-data-protection-notice/ https://open.rankfor.ai/resources/research-data-protection-notice/ Sun, 26 Jul 2026 00:00:00 GMT Dmitrij Żatuchin How Rankfor.AI processes personal data in its published AI visibility research, and what you can ask us to do about it. Published under GDPR Article 14(5)(b). Names come from public professional profiles, no individual is named in any paper or public dataset, and the identifying list is never published. Access, correction, deletion and objection all run through dpo@rankfor.ai. GDPR Data Protection Research Ethics Transparency https://open.rankfor.ai/resources/is-llms-txt-worth-it/ https://open.rankfor.ai/resources/is-llms-txt-worth-it/ Sun, 19 Jul 2026 00:00:00 GMT Dmitrij Żatuchin llms.txt is spreading fast on GitHub, up about nine times in six months, but the largest checks so far show no link between having the file and being cited by AI (p = 0.85 across ~300,000 domains). Most of the surge is documentation tooling auto-emitting the file, not deliberate adoption. The verdict: folklore. It does no harm, it does not earn citations, and it can quietly replace the work that does. llms.txt AI Visibility GEO AEO Technical SEO AI Crawlers https://open.rankfor.ai/resources/how-to-know-if-ai-recommends-your-brand/ https://open.rankfor.ai/resources/how-to-know-if-ai-recommends-your-brand/ Fri, 17 Jul 2026 00:00:00 GMT Dmitrij Żatuchin Ask AI the questions your buyers ask, see if your brand appears, and read the sources it cites. Free with Answer Trail, GDPR aligned. The fix: about 85% of what AI cites sits off your own website, so earn roughly five credible third-party mentions per buyer question to reach about 80% presence, then watch it over time because the cited sources turn over week to week. AI Visibility AEO Answer Engine Optimization ChatGPT Recommendation Share GEO https://open.rankfor.ai/resources/rankfor-index-2026-methodology/ https://open.rankfor.ai/resources/rankfor-index-2026-methodology/ Mon, 13 Jul 2026 00:00:00 GMT Dmitrij Żatuchin The full method behind the Rankfor Index 2026: 66 brands, 12 languages, 3 AI models with live grounding, 35,640 responses, 131,667 citations. Five weighted components (sentiment, recommendation, source quality, consistency, stability) produce the 0-100 AI Visibility Score published on every brand page, plus the metrics only multilingual data can expose: bilingual penalty, citation concentration, and blind languages. AI Visibility Methodology Rankfor Index AI Reputation Index Brand Reputation Multilingual AI https://open.rankfor.ai/resources/how-llms-source-brand-reputation-2026/ https://open.rankfor.ai/resources/how-llms-source-brand-reputation-2026/ Mon, 13 Jul 2026 00:00:00 GMT Dmitrij Żatuchin A cross-market citation dataset: 167,551 URL-grounded citations across 128 brands, 13 languages, and 12 markets from GPT, Gemini, and Perplexity. AI grounds brand answers in third-party sources 85.7% of the time; 18% of domains carry 80% of citations; Wikipedia is the top domain in 11 of 12 languages. Open under CC-BY-4.0 with DOI. AI Visibility Source Attribution Citations Grounding Wikipedia Open Dataset https://open.rankfor.ai/resources/category-ownership-index-dataset-2026/ https://open.rankfor.ai/resources/category-ownership-index-dataset-2026/ Mon, 13 Jul 2026 00:00:00 GMT Dmitrij Żatuchin The open dataset behind our 50 brand profiles: 3,750 responses from GPT-5.2, Gemini 3 Flash, and Perplexity sonar-pro to 250 brand-free buying questions across 5 industries, under a dice-roll stability protocol. Three metrics (COI, CVI, DS), mean Gini 0.284, 8% competitive vacuums, and 41.6% cross-model agreement. CC-BY-4.0 on Kaggle and Zenodo. Category Ownership AI Recommendations Open Dataset COI Competitive Vacuum Cross-Model Agreement https://open.rankfor.ai/resources/google-first-poland-ai-visibility-2026/ https://open.rankfor.ai/resources/google-first-poland-ai-visibility-2026/ Fri, 12 Jun 2026 00:00:00 GMT Dmitrij Żatuchin 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. AI Visibility Poland Google AI Gemini Dice Roll Method AI Brand Index https://open.rankfor.ai/resources/ai-grounds-brands-on-job-boards-pl-2026/ https://open.rankfor.ai/resources/ai-grounds-brands-on-job-boards-pl-2026/ Mon, 08 Jun 2026 00:00:00 GMT Dmitrij Żatuchin 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. AI Visibility Source Quality Polish Brands Employer Reputation Rankfor Index Citation Economy https://open.rankfor.ai/resources/gemini-35-flash-grounding-leap-2026/ https://open.rankfor.ai/resources/gemini-35-flash-grounding-leap-2026/ Wed, 20 May 2026 00:00:00 GMT Dmitrij Żatuchin 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. Gemini 3.5 Flash AI Citation Sourcing Search Grounding B2B AI Visibility Syndicated Owned Media https://open.rankfor.ai/resources/pr-guide-ai-validation-northern-europe-2026/ https://open.rankfor.ai/resources/pr-guide-ai-validation-northern-europe-2026/ Fri, 15 May 2026 00:00:00 GMT Dmitrij Żatuchin 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. Public Relations AI Validation Tier-1 Publishers Nordic-Baltic Index Media Strategy https://open.rankfor.ai/resources/new-social-rules-generative-ai-2026/ https://open.rankfor.ai/resources/new-social-rules-generative-ai-2026/ Fri, 08 May 2026 00:00:00 GMT Dmitrij Żatuchin 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. Social Media AI Recommendations Content Strategy YouTube Reddit https://open.rankfor.ai/resources/ai-visibility-playbook-b2b-enterprises-2026/ https://open.rankfor.ai/resources/ai-visibility-playbook-b2b-enterprises-2026/ Sat, 02 May 2026 00:00:00 GMT Dmitrij Żatuchin 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. B2B Strategy AI Visibility Owned Media Content Strategy Industry Benchmarks https://open.rankfor.ai/resources/ai-memory-benchmark-seci-vs-raw-2026/ https://open.rankfor.ai/resources/ai-memory-benchmark-seci-vs-raw-2026/ Wed, 08 Apr 2026 00:00:00 GMT Dmitrij Żatuchin 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. AI Memory LongMemEval Knowledge Management SECI Model Retrieval ChromaDB https://open.rankfor.ai/resources/personagen-enterprise-b2b-buying-intelligence-2026/ https://open.rankfor.ai/resources/personagen-enterprise-b2b-buying-intelligence-2026/ Thu, 12 Mar 2026 00:00:00 GMT Dmitrij Żatuchin 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. HuggingFace Open Data PersonaGen-Enterprise B2B Buying Committee Competitive Intelligence https://open.rankfor.ai/resources/content-format-blindspot-enterprise-buyers-2026/ https://open.rankfor.ai/resources/content-format-blindspot-enterprise-buyers-2026/ Tue, 10 Mar 2026 00:00:00 GMT Dmitrij Żatuchin 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. Content Strategy Enterprise Buying Buyer Personas AI Visibility PersonaGen v5 Content Formats https://open.rankfor.ai/resources/llm-reputation-sourcing-study-2026/ https://open.rankfor.ai/resources/llm-reputation-sourcing-study-2026/ Fri, 20 Feb 2026 00:00:00 GMT Dmitrij Żatuchin 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. AI Visibility Brand Reputation LLM Research Source Attribution Cross-Model Agreement Generative AI https://open.rankfor.ai/resources/persona-matcher-ai-buyer-discovery-2026/ https://open.rankfor.ai/resources/persona-matcher-ai-buyer-discovery-2026/ Sun, 15 Feb 2026 00:00:00 GMT Dmitrij Żatuchin 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. Persona Matcher Buyer Personas AI Visibility Content Strategy PersonaGen-1M https://open.rankfor.ai/resources/ai-readiness-benchmark-calculator-2026/ https://open.rankfor.ai/resources/ai-readiness-benchmark-calculator-2026/ Sun, 15 Feb 2026 00:00:00 GMT Dmitrij Żatuchin 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. AI Readiness Benchmark Calculator AI Visibility Content Strategy PersonaGen-1M https://open.rankfor.ai/resources/industry-ai-readiness-score-2026/ https://open.rankfor.ai/resources/industry-ai-readiness-score-2026/ Sun, 15 Feb 2026 00:00:00 GMT Dmitrij Żatuchin 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. AI Readiness Industry Scores Content Strategy AI Visibility PersonaGen-1M https://open.rankfor.ai/resources/gender-bias-three-study-analysis-2026/ https://open.rankfor.ai/resources/gender-bias-three-study-analysis-2026/ Sun, 15 Feb 2026 00:00:00 GMT Dmitrij Żatuchin 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. Gender Bias AI Research LLM Recommendations Seasonal Bias Category Gatekeeping PASOR https://open.rankfor.ai/resources/valentines-day-ai-gift-bias-2026/ https://open.rankfor.ai/resources/valentines-day-ai-gift-bias-2026/ Sun, 15 Feb 2026 00:00:00 GMT Dmitrij Żatuchin 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. Valentine's Day Gender Bias AI Recommendations Seasonal Bias Brand Visibility Gemini https://open.rankfor.ai/resources/personagen-15k-huggingface-open-dataset-2026/ https://open.rankfor.ai/resources/personagen-15k-huggingface-open-dataset-2026/ Sun, 15 Feb 2026 00:00:00 GMT Dmitrij Żatuchin 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. HuggingFace Open Data PersonaGen-15K Buyer Personas AI Dataset Apache 2.0 https://open.rankfor.ai/resources/personagen-149k-dataset-what-ai-thinks-buyers-want/ https://open.rankfor.ai/resources/personagen-149k-dataset-what-ai-thinks-buyers-want/ Sun, 15 Feb 2026 00:00:00 GMT Dmitrij Zatuchin We analyzed what AI actually believes about buyers across 500+ industries. Key findings from the largest buyer persona dataset ever published. Persona Dataset Buyer Intent AI Visibility Research https://open.rankfor.ai/resources/best-lists-ai-visibility-trap-2026/ https://open.rankfor.ai/resources/best-lists-ai-visibility-trap-2026/ Fri, 06 Feb 2026 00:00:00 GMT Dmitrij Żatuchin 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. AI Visibility Google Algorithm ChatGPT Citations Content Strategy Self-Promotional Listicles GEO https://open.rankfor.ai/resources/agency-guide/ https://open.rankfor.ai/resources/agency-guide/ Wed, 04 Feb 2026 00:00:00 GMT Rankfor.AI 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. Agency Guide Sales Playbook AI Visibility GEO Generative Engine Optimization B2B Sales https://open.rankfor.ai/resources/understanding-ai-visibility-classification-2026/ https://open.rankfor.ai/resources/understanding-ai-visibility-classification-2026/ Tue, 27 Jan 2026 00:00:00 GMT Dmitrij Żatuchin 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. AI Visibility Classification Brand Strategy Diagnostic Framework GEO PIS https://open.rankfor.ai/resources/state-of-ai-visibility-2026/ https://open.rankfor.ai/resources/state-of-ai-visibility-2026/ Mon, 26 Jan 2026 00:00:00 GMT Dmitrij Żatuchin 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. AI Visibility GEO Generative Engine Optimization Category Definition SEO Evolution Brand Strategy https://open.rankfor.ai/resources/consumer-gift-ai-brand-recommendation-2026/ https://open.rankfor.ai/resources/consumer-gift-ai-brand-recommendation-2026/ Tue, 06 Jan 2026 00:00:00 GMT Rankfor.AI Research Team 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. Consumer Brands AI Visibility Cross-Model Agreement Gender Bias Category Gatekeeping Brand Recommendations https://open.rankfor.ai/resources/cross-model-stability-analysis-2025/ https://open.rankfor.ai/resources/cross-model-stability-analysis-2025/ Tue, 30 Dec 2025 00:00:00 GMT Rankfor.AI Research Team 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. LLM Research AI Visibility Brand Consistency ChatGPT Gemini Grok https://open.rankfor.ai/resources/gender-bias-ai-recommendations-2025/ https://open.rankfor.ai/resources/gender-bias-ai-recommendations-2025/ Tue, 30 Dec 2025 00:00:00 GMT Rankfor.AI Research Team 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. Gender Bias LLM Research AI Visibility Brand Recommendations Prompt Sensitivity ChatGPT