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Visibility and demand
Reach is the probability that a buyer who has a problem your category solves will encounter your brand inside the answer surface they actually use - classic search, AI answer engines, and the retrieval layer that feeds them.
Reach is the only pillar that is measured before a click exists. If the brand is absent from the citations an AI engine assembles, no amount of downstream conversion work can recover the demand. This is why Reach is scored first and gates the other three.
Four weighted dimensions. Weights inside a pillar always total 100.
Does the brand appear in the answer engines that serve your category, across all four phrasing families?
Evidence: Query a fixed 60-prompt panel across AI answer engines and classic SERPs; record citation presence, position and share of voice.
Can a model resolve your brand to a canonical entity with a stable definition, or does it hedge and describe you generically?
Evidence: Entity resolution test: ask a neutral model what the brand is, what it sells, and what it does not sell; score for contradiction and hedging.
Are the answer-eligible assets reachable by the agents that matter?
Evidence: robots policy audit, AI sitemap coverage ratio, llms.txt completeness, structured-data validity.
How many distinct intent families does the brand hold a defensible position in?
Evidence: Intent clustering across discovery, comparison, pricing and vendor-selection families.
One-time scored audit of the Reach pillar with the full prompt panel and citation map.
Billing cycles are limited to per-use, hourly, daily, weekly and monthly. No annual or quarterly terms exist on this platform.
Open the package →No. Reach counts presence inside the answer itself, including answers that never send a click. Traffic is a lagging, partial view of it.
Entity fixes move in weeks; answer-surface expansion typically needs one full recrawl cycle of the engines you target.
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