The AI visibility blog

Use AI citation analysis to inspect cited pages, verify claim support, find content gaps, and prioritize updates with a practical evidence worksheet.

Track AI referral traffic in GA4 with the AI Assistant channel, source checks, landing pages, and key events, while keeping attribution limits clear.

Learn what answer engine optimization (AEO) is, how it differs from SEO and GEO, and how to earn citations and measure visibility in AI-generated answers.

Fresh robots.txt evidence for five citation-retrieval crawlers across 28 domains, with per-crawler block rates and optional llms.txt adoption.

Learn how to get cited by ChatGPT with a practical seven-step workflow covering OAI-SearchBot access, search intent, citable evidence, and measurement.

A practical AI brand monitoring workflow for tracking mentions, citations, share of voice, sentiment, and the answers behind every change.

Compare AEO Mantis, Profound, Ahrefs, Semrush, Peec AI, and OtterlyAI by evidence, monitoring, competitor analysis, and action workflow.

What LLMO means, how it differs from SEO, GEO, and AEO, six practical actions, the metrics to track, and a four-week operating plan.

Learn how to calculate and interpret mention rate, citation rate, share of voice, sentiment, and platform-specific AI visibility trends.

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

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

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

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.