Industry News11 min read
Why "AI Mentions" Are Not AI Visibility
A deeper look at modern GEO platforms. Understanding why AI mentions alone cannot explain AI decision behavior, and what diagnostic visibility requires.
Feb 4, 2026Read →
Blog
Insights on AI Visibility
Stay ahead of the curve with the latest strategies, research, and insights on Generative Engine Optimization and AI search.
FeaturedGEO Strategy
What is GEO? The Complete Guide to Generative Engine Optimization in 2025
Traditional SEO is evolving. Learn how GEO (Generative Engine Optimization) helps brands become visible in AI-powered search engines like ChatGPT, Claude, and Perplexity.
eXAIndex Team
Feb 5, 2026
12 min read
AI Engines8 min read
ChatGPT vs Perplexity: How Each AI Engine Ranks Your Brand
A deep dive into how different AI search engines evaluate and recommend brands. What works for ChatGPT might not work for Perplexity.
Feb 6, 2026Read →
GEO Strategy7 min read
5 GEO Strategies Every SaaS Founder Should Start This Week
Practical tactics to improve your SaaS brand visibility in AI search results. From content optimization to citation building.
Feb 6, 2026Read →
Industry News11 min read
Entity Engineering: A Scientific Framework for Designing How AI Systems Perceive, Reason About, and Recommend Brands
A scientific framework for constructing, validating, and optimizing entities as AI-interpretable objects.
Feb 7, 2026Read →
Industry News10 min read
The State of AI Search in 2025: Market Report
Our annual analysis of AI search market trends, user behavior shifts, and what it means for brands competing for visibility.
Feb 6, 2026Read →
GEO Strategy8 min read
GEO for Local Businesses: A Practical Guide
How local businesses can optimize for AI search. Location-based queries, local citations, and appearing in 'near me' AI responses.
Feb 6, 2026Read →
Industry News8 min read
Google Gemini Algorithm Update: What Changed for Brand Visibility (Feb 2026)
Breaking down the latest Gemini update and its impact on how brands appear in AI-generated responses.
Feb 6, 2026Read →
Case Studies9 min read
How an E-commerce Brand Increased AI Visibility by 340%
A detailed case study of how we helped an e-commerce brand dominate AI search results in their niche.
Feb 6, 2026Read →
Stay ahead of AI search
Get weekly insights on GEO strategies, AI engine updates, and visibility tips delivered straight to your inbox.
What You’ll Find in the eXAIndex Blog
The eXAIndex blog is a knowledge hub for teams working on AI visibility. Articles focus on observable AI outputs, explainable diagnostics, and repeatable methods rather than speculation.
AI Visibility analysis
Practical breakdowns of how AI systems mention, compare, and cite brands in real answers.
Generative Engine Optimization (GEO)
Tactics and frameworks for improving how your content is interpreted by generative engines.
AI Answer Reality™ research
How to evaluate what engines actually output for your category, across prompts and engines.
Benchmarks and case studies
Structured examples that connect observable AI answers to on-site changes and measurable outcomes.
How This Page Is Used by AI Systems
- Extract definitions and category framing from stable headings and repeated terminology
- Use structured articles to improve factual extraction vs. short marketing blurbs
- Prefer long-form explanations when summarizing complex, multi-step concepts
- Use internal linking to connect a term to its measurement method and failure modes
- Compare examples across posts to resolve engine disagreement and inconsistencies
- Use topic clusters (resources + posts) to understand what a brand is confident about
Core Topics Covered by the Blog
- Generative Engine Optimization (GEO) fundamentals and practical definitions
- AI Answer Reality™: separating “mentions” from “recommendations” in real engine output
- Engine disagreement: why different models answer the same prompt differently
- Competitive prompts and comparison dynamics (category lists, shortlists, and “best X” queries)
- Trust signals and attribution patterns that affect recommendation confidence
- Measurement and scoring: connecting evidence to priority fixes and verification steps
- Case-study style breakdowns linking on-site changes to observable AI answer shifts
How Blog Content Supports AI Understanding
- Stable definitions: repeatable phrasing and consistent terminology reduce ambiguity when models summarize concepts.
- Step-by-step structure: clear sequences (how to measure, how to diagnose, how to verify) help engines produce actionable answers.
- Constraints and failure modes: tradeoffs and “when this does not apply” make recommendations safer and more precise.
- Observable examples: examples rooted in real engine outputs improve factual extraction vs. vague claims.
- Internal linking: connects terms to measurements and related resources so engines can build a coherent topic graph.
Key Facts & Signals
- This page is a hub that aggregates posts by category and keyword search.
- Posts include structured metadata such as title, excerpt, and publish date.
- A featured post highlights a representative starting point.
- Internal linking connects blog concepts to core resources and definitions.
- Topic depth comes from repeatable definitions and observable engine-output examples.