{"total":44,"rows":[{"id":"2506.11097","title":"C-SEO Bench: Does Conversational SEO Work?","created":"2025-06-06","cited_by_count":11,"area":null},{"id":"2501.00745","title":"Dynamics of Adversarial Attacks on Large Language Model-Based Search Engines","created":"2025-01-01","cited_by_count":5,"area":null},{"id":"2602.12187","title":"SAGEO Arena: A Realistic Environment for Evaluating Search-Augmented Generative Engine Optimization","created":"2026-02-12","cited_by_count":5,"area":null},{"id":"2603.29979","title":"Structural Feature Engineering for Generative Engine Optimization: How Content Structure Shapes Citation Behavior","created":"2026-03-31","cited_by_count":5,"area":null},{"id":"2601.13938","title":"IF-GEO: Conflict-Aware Instruction Fusion for Multi-Query Generative Engine Optimization","created":"2026-01-20","cited_by_count":3,"area":null},{"id":"2602.03608","title":"Controlling Output Rankings in Generative Engines for LLM-based Search","created":"2026-02-03","cited_by_count":3,"area":null},{"id":"2603.09296","title":"Diagnosing and Repairing Citation Failures in Generative Engine Optimization","created":"2026-03-10","cited_by_count":3,"area":null},{"id":"2605.21948","title":"SCI-Defense: Defending Manipulation Attacks from Generative Engine Optimization","created":"2026-05-21","cited_by_count":3,"area":null},{"id":"2606.20065","title":"Generative Engine Optimization at Scale: Measuring Brand Visibility Across AI Search Engines","created":"2026-06-18","cited_by_count":3,"area":null},{"id":"2510.06823","title":"Exposing Citation Vulnerabilities in Generative Engines","created":"2025-10-08","cited_by_count":2,"area":null},{"id":"2604.27790","title":"How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews","created":"2026-04-30","cited_by_count":2,"area":null},{"id":"2605.09314","title":"How LLMs Are Persuaded: A Few Attention Heads, Rerouted","created":"2026-05-10","cited_by_count":2,"area":null},{"id":"2605.25517","title":"What Gets Cited: Competitive GEO in AI Answer Engines","created":"2026-05-25","cited_by_count":2,"area":null},{"id":"2605.27440","title":"Paraphrase Brittleness in Production Retrieval-Augmented Commercial Recommendation: Reproducibility Below the Rerun-Stability Baseline","created":"2026-05-22","cited_by_count":2,"area":null},{"id":"2608.16824","title":"GEO-Flag: Detecting and Measuring GEO-Optimized Web Content","created":"2026-08-17","cited_by_count":2,"area":null},{"id":"2509.10762","title":"AI Answer Engine Citation Behavior An Empirical Analysis of the GEO16 Framework","created":"2025-09-13","cited_by_count":1,"area":null},{"id":"2509.11967","title":"MillStone: How Open-Minded Are LLMs?","created":"2025-09-15","cited_by_count":1,"area":null},{"id":"2510.01622","title":"LLM4Rec: Large Language Models for Multimodal Generative Recommendation with Causal Debiasing","created":"2025-10-02","cited_by_count":1,"area":null},{"id":"2512.18859","title":"Toward Human-Centered AI-Assisted Terminology Work","created":"2025-12-21","cited_by_count":1,"area":null},{"id":"2603.08924","title":"Quantifying Uncertainty in AI Visibility: A Statistical Framework for Generative Search Measurement","created":"2026-03-09","cited_by_count":1,"area":null},{"id":"2603.20062","title":"The End of Rented Discovery: How AI Search Redistributes Power Between Hotels and Intermediaries","created":"2026-03-20","cited_by_count":1,"area":null},{"id":"2605.14021","title":"Measuring Google AI Overviews: Activation, Source Quality, Claim Fidelity, and Publisher Impact","created":"2026-05-13","cited_by_count":1,"area":null},{"id":"2605.18673","title":"Generative AI Advertising as a Problem of Trustworthy Commercial Intervention","created":"2026-05-18","cited_by_count":1,"area":null},{"id":"2606.04362","title":"Disentangling Answer Engine Optimization from Platform Growth: A Log-Based Natural Experiment on ChatGPT Referral Traffic","created":"2026-06-03","cited_by_count":1,"area":null},{"id":"2606.16344","title":"Whose hotel does the AI recommend? An algorithm audit of reputation signals in LLM-assisted hotel selection","created":"2026-06-15","cited_by_count":1,"area":null},{"id":"2606.26116","title":"Divergent Recommendations, Convergent Diagnoses: Cross-Provider Failure-Mode Convergence in AI Commercial Recommendation","created":"2026-05-22","cited_by_count":1,"area":null},{"id":"2608.30052","title":"The Language of the Question Selects the Market: Query Language and Exit IP as Separable Factors in Commercial Recommendations from a Generative Search Interface","created":"2026-08-30","cited_by_count":1,"area":null},{"id":"2606.12439","title":"Position: Generative Engine Optimization Creates Underexamined Risks, Governance Must Target Concentration, Disclosure, and Academic Blind Spots","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2607.20730","title":"GPE: Evaluating Robust Evidence Aggregation for Fact Verification under Controllable GEO-Style Poisoning","created":"2026-07-22","cited_by_count":0,"area":null},{"id":"2608.11390","title":"Mechanism Design for Generative Engines: From Exploitation toward Win-Win Outcomes","created":"2026-08-11","cited_by_count":0,"area":null},{"id":"2608.14399","title":"Whose doctor does the AI recommend? An algorithm audit of reputation and demographic signals in large language model-assisted physician choice","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2608.30466","title":"CHASE: How Content Ecosystems Are Reshaped When Ranking Is the Only Target","created":"2026-08-31","cited_by_count":0,"area":null},{"id":"2609.06811","title":"Measuring GEO Visibility: Prompt Corpora Define the Answer Market","created":"2026-09-06","cited_by_count":0,"area":null},{"id":"2609.07559","title":"Scoring Without the Engine: Validating a Deterministic, Manipulation-Resistant Content Score for Generative Engines, End to End","created":"2026-09-07","cited_by_count":0,"area":null},{"id":"2609.08698","title":"Record Grouping Controls Evidence Weight in Language Models","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.24106","title":"You Can Tell Who's Asking: What the Web's Questions Are Made Of, and Where They Come From","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2609.27845","title":"Query Implied Generative Engine Optimization","created":"2026-08-19","cited_by_count":0,"area":null},{"id":"2609.29145","title":"Claim-Gated Source-Risk Auditing for Generative Search","created":"2026-09-24","cited_by_count":0,"area":null},{"id":"2609.34951","title":"AX is the New AEO","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.35077","title":"What Drives Citations in Production Large Language Models? An Observational Multi-Method Study of Two Million AI Citations Across Ten Thousand Web Pages","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.00253","title":"System Attribution in LLM Brand Recommendations: Single Responses Identify the System, Aggregated Brand Profiles Do Not Transfer","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2610.07535","title":"Disentangling Models from Personas in Heterogeneous LLM Simulations","created":"2026-10-06","cited_by_count":0,"area":null},{"id":"2610.19608","title":"Twenty Days Later: A Pre-Registered Test of History-Based Forecasts of Brand Mentions in Gemini Answers","created":"2026-10-14","cited_by_count":0,"area":null},{"id":"2610.20162","title":"Gap Detection: Mitigating Homogenization through Demand and Defensibility","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}