Constructor × flaschenpost
Constructor x flaschenpost, AI search lifts sitewide conversion 4.14%
4.14% relative lift in sitewide search conversion (AA/BB test)
Reactive manual patching to self-improving AI-driven discovery
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Why it works
The case study earns its headline number with a named testing methodology (AA/BB test) and a stated original goal (3.2%), which makes the 4.14% result feel audited rather than cherry-picked. The before-state is concrete: specific failed queries, a 13% misspelling rate, and reactive synonym work are all named. The story is a coin-flip between Breakthrough and Efficiency, but the headline leads with a conversion lift (number going up), so Breakthrough wins.
Steal this
Anchor the result against a pre-declared goal. Stating 'we aimed for 3.2% and hit 4.14%' turns a single metric into proof of rigor and makes the outcome impossible to dismiss as vendor spin.
Click to enlarge ↗ This is editorial commentary and curation. The case study, screenshot, and all metrics are Constructor's published work; we link to the source and lead with our analysis.