AI visibility and optimization insights. Strategy, citation analysis, and how to get found by AI.
A practical guide to AEO: how answer engines work, how AEO relates to SEO and GEO, schema and content plays, metrics, and mistakes to avoid.
An AI agent for SEO analyzes visibility data and helps execute optimizations. Learn how agents differ from chatbots and how Bob works inside IndexMind.
AI citation gap analysis finds prompts where competitors are cited and you are absent, then turns those gaps into a prioritized fix backlog.
Define AI share of voice, see how to calculate it with a worked example, and learn how to improve citation share versus competitors.
What to look for in an AI visibility platform for SaaS and agencies: probing, citation gaps, scoring, and a path from insight to fix.
Generative Engine Optimization helps marketers earn citations in AI answers. Learn how GEO fits into SEO, how to measure it, and how to execute a practical 30-day plan.
A complete, practical guide to GEO: what it is, how AI engines select citations, the four operational pillars, metrics, and a rollout framework for teams.
GEO fundamentals are shared, but SaaS and ecommerce diverge on prompt sets, citation assets, and conversion paths. Here is what to prioritize in each model.
GEO and SEO share a large foundation but diverge on citation behavior and AI visibility strategy. Here is a clear comparison and an execution framework.
How RAG, passages, and structure drive AI citations, plus a five-day playbook for ChatGPT, Perplexity, and Google AI Overviews.
Old SEO chased page-one rankings. New SEO is about being cited, trusted, and chosen across Google and AI platforms. Here is what changed and what to do about it.
AI Optimization is the practice of making your content discoverable, citable, and trustworthy to AI systems. Learn why it matters and how to get started.
llms.txt is an emerging site-root file that points AI systems at preferred sources. Learn what it is, what it does not do, and how IndexMind uses it.
The three-stage pipeline behind every search result, what fails at each stage, and how to tell which stage is the reason your page is missing.
What SEO is, how search engines crawl, index, and rank, the three core disciplines, and how the foundation carries into AI-driven discovery through AEO and GEO.
How reverse image search builds a visual fingerprint, how Google Lens, Bing, Yandex, and TinEye differ, and why a search sometimes returns nothing.
The day-to-day work of a search engine optimizer, how the role compares to an agency or freelancer, what to pay in 2026, and when to bring it in-house.
Retrieval eligibility determines whether your pages enter the candidate set that Google and AI engines evaluate. Learn why it matters, how to measure retrieval coverage, and what to fix before the search window widens.
A consolidated record of the IndexMind beta releases that moved the product from AI visibility reporting into governed execution.
SEO, AEO, and GEO each target a different layer of modern search. Learn what they are, how they differ, and how to build a strategy that covers all three.