Episode 104: It Looked You Up and Still Didn’t Say Your Name
カートのアイテムが多すぎます
カートに追加できませんでした。
ウィッシュリストに追加できませんでした。
ほしい物リストの削除に失敗しました。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
Episode 104: It Looked You Up and Still Didn’t Say Your Name
-
ナレーター：
-
著者：
Send us Fan Mail
Most AI visibility work chases citations. This episode shows why that is only half the answer. New research compared the same questions to ChatGPT with search on and off, then looked at brands that were actually on the pages the AI cited.
The model named brands it rarely mentioned from memory only about 11% of the time, even when cited. It named brands it already knew 99% of the time. Same pages, same citations. The difference was what the model believed before it searched.
Jeff explains why a citation is a ticket, not a seat — and why the two-to-five-month lag between a model's training and its release means what gets written about you this fall is what next spring's answer believes.
Proof: Daniel Goodwin of Provident 1031, whose #1 Amazon book, standing Kiplinger byline, and Masterclass series built a reputation the search only had to find.