LLM Perception
75.60/100
Provider answers describe YETI as trusted, premium, rugged, and outdoor-ready. The weaker answers hedge when the buyer asks whether the higher price is justified for everyday use.
A narrow sneak view into the evidence layer behind VectorGap.
These examples show only a reduced slice of what VectorGap can do. Pick YETI, Aesop, Away, or Decathlon and you can see the chain most dashboards flatten away: what the answer says, who it prefers, which sources shape that preference, and what an agency would fix before the next retest.
What the report quietly exposesProvider answers summarized · exact prompts hidden
REAL AUDIT DATAOutdoor drinkware and coolers
YETI
Positive · US outdoor drinkware buyer
Compared with Stanley, Hydro Flask, RTIC. 98 / 98 AI-answer checks completed.
YETI already has the premium durability story. The signal worth whispering is smaller and more useful: when the buyer gets price-sensitive, the answer starts looking for harder proof against Stanley, Hydro Flask, and RTIC.
AI Preference
83.66/100
Against Stanley, Hydro Flask, and RTIC, YETI still wins most direct recommendation battles. The remaining losses cluster around value-for-money and drinkware-specific alternatives.
Direct win rate: 76.79%
GEO Analysis
82/100
Owned pages expose the entity and category clearly, but comparison-safe durability proof, warranty facts, and cost-per-use arguments should be easier to extract from source blocks.
Web Perception
78/100
Public evidence supports premium durability, but third-party comparison pages and review snippets often frame alternatives as better value unless YETI publishes stronger proof anchors.
Mission Control
The work that changes the next answer
Done
Entity and category understood
Brand Knowledge anchors coolers, bottles, tumblers, bags, outdoor lifestyle, and premium durability.
Active
Strengthen price/value proof
Add clearer durability evidence, warranty framing, and side-by-side cost-per-use arguments.
Active
Publish comparison-safe source blocks
Make YETI-vs-alternatives claims factual, cited, dated, and easy to quote without raw marketing language.
Queued
Retest value-sensitive comparisons
Rerun the same provider/category target against Stanley, Hydro Flask, and RTIC after proof updates.
The score is only the visible edge. The valuable part is the chain underneath: answer behavior, competitor pressure, source gap, mission queue, and the retest that proves whether the fix moved anything.
How agencies use it
The report gives the agency a reason to sell the fix, then the retest, then the next month.
The client does not need another vague AI score. They need to see the hidden pattern, the work your team will ship, and the exact retest target that proves movement next month.