The Cited vocabulary. Defined precisely.

The commercial category Cited operates in. AI Revenue Gap intelligence for travel measures how travel brands appear across defined AI supported buying journeys, investigates the customer and market evidence associated with those patterns, and identifies where evidence and recommendation diverge.

Customer and market proof created after a travel experience: reviews, advocacy, complaints, case studies, editorial coverage, ratings, references. This evidence accumulates publicly across platforms AI can increasingly draw from when forming answers about travel brands.

The mismatch between the evidence your brand has earned and the AI recommendations your brand currently wins. A Recommendation Gap exists when strong evidence does not correspond with AI recommendation that drives bookings.

A documented picture of a brand's current recommendation position across five AI channels, established at the start of every Cited engagement. The baseline is what every subsequent measurement is compared against.

The four diagnostic states Cited uses after tracing the evidence associated with a recommendation pattern. Own: evidence is strong and aligned. Activate: evidence exists but is not reflected. Protect: evidence is present but under threat. Fix: evidence and experience are misaligned.

A fixed-scope Cited engagement focused on one defined recommendation your brand wants to win. The Sprint follows the five-step method: Define, Baseline, Trace, Strengthen, Rerun. Focus Sprint from $12,500. Growth Sprint from $20,000.

An ongoing Cited engagement that tracks multiple recommendation opportunities as customer experience, public evidence, competitors and AI outputs change over time. Cited Programme from $15,000 per quarter.

Step 01 of the Cited method. Agreeing the specific buying situation: the recommendation to compete for, the traveller type, the market and the competitor set. Every Cited engagement starts here.

Step 02 of the Cited method. Establishing where the brand stands today across five AI channels. Documenting what AI currently recommends, for which queries, with what associated evidence patterns. This is the before.

Step 03 of the Cited method. Investigating the customer, market and authority evidence behind the recommendation gap. Identifying where evidence is strong and where gaps exist.

Step 04 of the Cited method. Improving genuine customer, brand and authority evidence where legitimate gaps exist. Grounded in what customers and the market already prove. Cited does not manufacture evidence.

Step 05 of the Cited method. Running the same defined buying journeys again across the same five AI channels. Measuring what changed against the baseline. Every finding traced to specific evidence actions.

The memorable articulation of the Cited thesis. Travel has always run on word of mouth. AI changes the scale at which that word of mouth can participate in discovery. What customers say after a journey can increasingly matter to what AI says before the next traveller chooses.

The evidence environment of a destination or ecosystem where no single organisation controls the full picture. A destination accumulates reputation through hotels, attractions, food, safety, transport, media and traveller advocacy. Cited measures distributed reputation for destinations and DMOs.