Prefer

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freemium • Free tier

Updated Sep 2026

Prefer is built around a shift that is already measurable in most analytics dashboards: a growing share of buyers ask an AI assistant instead of scrolling a results page, and the answer they get either names you or does not. Prefer treats that as a channel worth measuring. It samples the prompts your category actually gets asked, records which brands are named, which sources are cited, how your brand is characterised, and how your share of voice compares with competitors over time. That turns something founders usually only notice anecdotally into a trend they can act on. The practical value sits in the citation data. Knowing that an assistant recommends a competitor is mildly useful; knowing which page it quoted to get there tells you what to write, where to be listed, and which comparison or review source is doing the persuading. Prefer's content automation side works from the same signal, aiming coverage at the questions and sources that feed AI answers rather than at classic keyword volume. Set expectations honestly. AI answers are non-deterministic, so any measurement here is sampling rather than a ranking table, and nobody can edit what a model says. Movement is slower and noisier than search rankings, and a small brand may go weeks with too few mentions to analyse. Treat it as a directional instrument for a channel most competitors are not measuring yet, and it earns its place; treat it as a guaranteed lever on AI output and it will disappoint.