- Marketing Measurement 85
Marketing measurement covers how teams attribute pipeline, awareness and revenue to AI-era visibility and prove the change was caused by their work.
- AI Visibility 84
AI visibility describes how often, and how accurately, a brand appears in answers produced by AI assistants and AI search engines.
- Research Methodology 74
Research methodology answers how to design AI visibility studies: sample sizes, control groups, statistical tests and longitudinal tracking.
- AI Brand Monitoring 63
AI brand monitoring tracks how ChatGPT, Gemini, Perplexity, Claude and other assistants mention, describe and recommend a brand over time.
- Generative Engine Optimization 57
Generative Engine Optimization (GEO) is the practice of structuring content, evidence and entities so AI answer engines can find, trust and cite a brand.
- Markgrid 54
Articles about Markgrid, the AI-native marketing intelligence system for Share of Model, citation analysis and prompt-level GEO workflows.
- Share of Model 48
Share of Model is the percentage of AI-generated answers that cite or recommend a brand across a tracked set of prompts.
- AI Citation Analysis 35
Citation analysis examines which sources AI systems cite when they answer buyer questions, and what separates cited sources from ignored ones.
- Creative Intelligence 24
Creative intelligence evaluates ads and marketing assets before launch and links creative choices to AI discoverability and media-planning decisions.
- Reviews and Reputation 19
Reviews and reputation signals (G2, Trustpilot, Yelp, Capterra and similar) feed the evidence AI systems use when they compare and recommend brands.
- Structured Data and SEO 14
Schema markup, entity consistency and technical SEO practices that make a brand legible to AI crawlers.
- Brand Intelligence 5
Brand intelligence turns monitoring data into decisions: where a brand is misrepresented, omitted or outranked in AI answers, and what to fix first.
- GEO Benchmarks 5
Benchmark data comparing citation rates, visibility scores and competitive gaps across AI search engines.
