Word of mouth is becoming machine readable. Cited shows you exactly where that signal is breaking down, and closes the gap.
A recommendation is the specific AI recommendation your brand wants to win, defined by the buyer, the market and the competitor set.
You do not buy reports, fix packs or ranking credits. You buy progress on a named recommendation. Cited builds the evidence required to compete for it, then tests whether AI perception has shifted.
We do not sell AI rankings. We close the evidence gaps preventing your brand from competing for the recommendations that matter, then measure what changed against the baseline.
Before any engagement, Cited builds a report on your brand: where you are visible to AI, where you are not, and exactly which bookings that gap is costing you.
No brief required. No strategy call needed first. We build it, you see the finding, and you decide what to do next.
For brands ready to act on the finding. Fixed scope, fixed deliverables, measurable outcome at 90 days. Priced by complexity, territories and markets. Not by company size.
Most clients run a Sprint to prove the model. Then continue with a quarterly Recommendation Growth Programme to work across multiple territories on an ongoing cadence.
Cited showed us a gap between what our guests consistently valued and what AI actually associated with the brand. We had no way to see that before.
The work gave our marketing and CX teams one view of the evidence shaping recommendation. That alignment had never existed before the engagement.
We identified customer strengths our website was barely communicating. The evidence was there, it just was not reaching AI in any coherent way.
We do not control AI engines. We control the quality of the evidence we build. We guarantee the execution and the measurement. The outcome follows the evidence.