The AI visibility blog

A reproducible test of five AI crawlers across 28 domains, with a full results table, per-crawler statistics, and llms.txt adoption.

Learn how to choose an AI visibility tool using eight essential capabilities: prompt control, answer evidence, monitoring, audits, and action workflows.

How to improve brand visibility in AI search: choose buyer prompts, make pages citable, strengthen entity signals, and measure mentions and citations.

What AEO means, how answer engines choose passages to quote, what makes a block liftable, and a five-minute category test.

How LLM SEO relates to GEO and AEO, how models choose citations, the six factors that shape visibility, and a four-week operating plan.

How identity consistency, third-party corroboration, structured data, and one canonical home help AI engines resolve and cite your brand.

An evidence-backed guide to ChatGPT citations: crawler access, search intent, citable passages, entity clarity, and prompt-level measurement.

Calculate mention rate, citation rate, share of voice, and sentiment, then turn metric combinations into specific actions.

Build an AI visibility prompt set from real buyer language using a practical method for sourcing, scoring, balancing, and localizing questions.

What GEO adds to SEO, which foundations still carry over, what changes for AI citations, and how to budget effort without doubling the work.

Seven concrete rules for writing passages AI engines can extract, attribute, and cite, from answer-first structure to fact density.