Author: Chris Han

AI Overviews zero-click search is halving Google clicks. Use this offense-first playbook to win AI citations and prove impact—then track your AI share of voice.

How to get cited in AI Overviews: the passage, corroboration, and authority signals Google quotes — with before/after page examples. Audit your top pages today.

How to get cited by Perplexity runs on live retrieval, freshness, extractability, and community corroboration — not backlinks. Get the playbook and start tracking.

AI Overviews vs featured snippets: how extraction, sourcing, and synthesis changed—and a migration playbook to keep winning AI citations. See what to fix first.

Can AI cite PDFs and videos? See a 384-answer test across PDFs, YouTube, podcasts, and webinars, plus a citation-readiness checklist.

How accurate are AI visibility tools? Use this 120-run buyer audit to test answer capture, failures, brand matching, citations, repeatability, and score math.

Measure AI brand mention tracking accuracy with a three-gate alias protocol, 60-snippet benchmark, precision and recall formulas, and QA thresholds.

Learn how to track AI recommendation rankings in prose, tables, ties, and caveated answers with an auditable framework, data schema, and QA process.

Learn how to count AI citations accurately with response-level deduplication, URL normalization, redirect resolution, content identity, and honest denominators.

AI visibility monitoring missing data can distort brand metrics. Learn how to classify failures, choose denominators, retry safely, and audit coverage.