Author: Chris Han

Brand name transliteration in AI search splits your company into two entities. Detect the split with a 20-minute 3-test audit, then reconnect both names with markup and off-site proof.

AI answers about product support outnumber buying prompts 3-to-1, and 31% carry a wrong instruction. See the 60-day audit data, platform breakdown, and remediation playbook.

AI quotes outdated documentation because old URLs hold more links and age. Run the version pull test, then fix canonicals, banners and sunset headers.

AI visibility in regulated industries turns on hedging, not ranking. A 2,400-prompt test across six engines maps which phrasings make AI refuse to name brands — and how to qualify as the safe citation.

AI wrong compliance claims appeared in 66% of 1,440 tracked answers. See the six error types by engine, the fact block that fixes them, and a 28-day recovery benchmark.

Competitor content shapes AI answers about your brand more often than your own site does. Learn to detect the cited page and displace it with dated evidence.

AI browser visibility is decided in a live user session, not by a crawler. Our 2,880-answer study shows how Atlas, Comet and Copilot pick brands — and how to fix yours.

AI visibility software security review made concrete: 34 questions on prompt data, retention, subprocessors, SSO and audit logs, plus red-flag answers, weighted scoring, and a 3-week procurement sequence.

AI-influenced pipeline inflates when sourced, assisted, and self-reported credit overlap. Get the credit-ledger method, a tie-break table, and a worked $6.1M-quarter dedupe that cut $3.93M to $2.02M.

Learn why AI drops a brand in follow-up answers, how to measure shortlist survival, and how to separate product mismatch from missing evidence.