Expert guides on AI visibility, GEO optimization, and brand tracking strategies.
Fifteen concrete checks — visibility, content, and authority — to find exactly where your brand is leaking AI recommendations.
From mention rate to pipeline attribution — a practical framework for measuring AI visibility work without overclaiming.
“Best dentist near me” is now a ChatGPT query. How small businesses win AI recommendations with a few focused hours per week.
Where each model looks, what makes a page quotable, and how to win the citations that drive AI recommendations.
What llms.txt is, which AI companies actually respect it, and whether implementing one moves the needle for your AI visibility.
A practical guide to testing your brand’s presence in ChatGPT — manual methods, what to look for, and how to automate monitoring.
How AI is reshaping search, where traditional SEO still wins, and why you need both SEO and GEO strategies.
A comparison of tools for monitoring how AI models mention your brand — from manual testing to purpose-built platforms.
A step-by-step walkthrough: create your brand, discover competitors, configure queries, and start collecting data.
Training data, source authority, query framing, sentiment consistency — what each AI model weighs differently.
Structured content, schema markup, authority signals — practical tactics for getting cited in AI responses.
The same query returns wildly different results across ChatGPT, Claude, Gemini, Grok, and Perplexity. Here's why.
An introduction to GEO, how it differs from SEO, and why brands need to pay attention to AI visibility.
Practical, actionable tactics for improving how AI models mention and recommend your brand.
A deep dive into the mechanics behind AI recommendations, source citations, and training data influence.
How search is evolving from traditional engines to AI-powered discovery, and what brands need to do.