GEO
Multilingual GEO: Aligning Brand Evidence Across Markets
Multilingual GEO requires more than translated copy. This guide shows how to align verified brand facts, localised URLs, technical signals, earned media evidence and a practical 60-day operating plan across Turkish and English markets.
Schema Markup for GEO: Entity Graphs for AI Search Authority
Schema markup helps AI search systems read the relationship between a brand, its experts, services and evidence. This guide explains entity graphs, priority schema types and a 60-day GEO implementation plan.
AI Bot Access Policy for GEO: A Robots.txt Governance Guide
An AI bot access policy connects robots.txt, content inventory, earned-media proof and risky URL decisions in one governance table. This guide explains a 60-day implementation and measurement plan for GEO visibility.
AI Search Source Kit: How Brands Prepare for LLM Citation
How should brands prepare evidence for AI search and LLM citation? This guide explains the source kit model: earned media proof, expert profiles, technical access, source pages and monthly GEO measurement.
Two Newsweek Placements in Six Weeks: The Medicana Earned Media Case
A case-led analysis of two Newsweek expert-source placements secured for Medicana in approximately six weeks. It explains the cardiology and neurology stories, the difference between earned coverage and syndication, and how third-party evidence supports GEO and LLM visibility.
Earned Media and GEO: How Brands Build Authority in AI Search
How does earned media help brands become credible sources in AI search? Using FL PR’s Newsweek source placement and Acıbadem media data, this guide explains spokesperson positioning, GEO evidence and global journalist relations.
Do Brands Need llms.txt? A Practical 2026 Decision Guide
llms.txt is not a requirement for AI search visibility. This guide uses official Google, OpenAI, Perplexity and IETF documentation to show when brands should publish the file, how it differs from robots.txt, and how to run a controlled 30-day test.
How LLMs Choose Sources: The Citation Guide for Modern Brands
LLM-powered answer engines select sources through crawl access, query fit, evidence, and independent authority. This guide shows brands how to structure citable content, measure visibility, and run a practical 90-day citation programme.










