Category: Uncategorized

Why AI engines give different answers about your brand: 3,600 tracked answers show retrieval causes 54% of divergence, model behavior 46%. See the four-layer breakdown and what fixes each.

Not all eight AI engines earn a dashboard slot. Data from 1.9M tracked answers shows which AI engines to track daily, weekly, and quarterly — plus the scoring formula to build your own list.

Claude AI brand recommendations name 48% fewer brands and hedge twice as often as ChatGPT. See the 11,520-answer panel data and what to fix first.

Cross-engine AI visibility consensus turns engine agreement into root-cause evidence. What 1,204 tracked step changes across 8 AI engines reveal about causes.

Which sources cited across AI engines overlap? We tracked 607,318 citations on 8 platforms: just 1.9% of URLs win six or more. See the five shared traits.

What actually improves AI visibility? A 630,000-run null test found 56% of reported AEO wins sit inside normal noise. Learn the evidence bar that proves cause.

How long for AI to update answers after an edit? A 312-edit panel with daily sampling gives per-engine medians, false-negative rates by check date, and the exact day a null result becomes real evidence.

AI visibility sample size, settled with real numbers: 23,040 tracked answers show why 200 prompts × 3 runs beats 20 × 30. Get the math and copy the design.

An AEO holdout test isolates what actually moved your AI citations. Four single-brand control designs, noise-floor data from 63 tests, sizing tables, and a six-week protocol.

Multi-turn AI search visibility decays fast: across 1,200 tracked buying chats, only 19% of turn-1 brands survived to turn 8. See how to measure and fix it.