Public Teardowns

Rigorous public diagnosis of Recommendation Gaps.

Cited compares brand claims, public evidence and observed AI recommendation using only public sources.

What a teardown shows

Seven questions. One diagnosis.

01
What did we test?
The specific buyer journey and recommendation.
02
What did AI say?
The actual AI recommendations across engines.
03
What do customers say?
Public review evidence and recurring themes.
04
What does the brand say?
Owned website and content positioning.
05
What independent evidence exists?
Third party sources, awards, directories, media.
06
Where is the Recommendation Gap?
The specific mismatch between evidence and AI output.
07
What could be strengthened?
Three specific evidence actions Cited would take.
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What would Cited rerun?
The exact buyer journeys and channels after intervention.
Published teardowns

Live teardowns.

Each teardown is completed using only public sources. No commercial relationship with any brand analysed.

Planned Airlines

Why strong cabin reviews do not translate into business travel recommendation.

Route-specific evidence versus general brand reputation, and why AI distinguishes between the two.

Planned TMCs

Why a smaller TMC’s service proof is invisible in AI buyer shortlists.

How trade reputation fails to reach evidence in AI-accessible forms, leaving larger but weaker competitors dominant.

Planned Family Resorts

Why this resort is loved by families but rarely recommended for family travel.

How strong guest evidence fails to reach AI recommendation when the evidence is fragmented across platforms.

Does your property have the same gap?
Start with a free gap check — Cited will tell you which AI recommendation you are losing and why, at no cost.
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Want Cited to run a teardown of your brand?

That becomes a Recommendation Sprint engagement. Tell us the territory, the competitor set and the market.

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