Preparing the sample workspace…
Why Ekvidu exists
Ekvidu is an evidence-first product for teams that need to understand how declared AI benchmarks represent a brand, which sources support the answer and what to improve next.
02 / Deliverables
A product method grounded in traceable observations
A customer workspace designed around evidence and action
Clear boundaries between mentions, citations, referrals and outcomes
A staged path from owner dogfood to a carefully measured service
03 / How it works
Search discovery is spreading across answer engines and AI-assisted research, but a brand mention is easy to misread. It may come from an official API benchmark, may not include a citation, may not create a visit and may not produce a customer.
Ekvidu is being built to preserve those distinctions so a team can act on evidence rather than a single unexplained score.
Every conclusion should lead back to a frozen buyer question, a declared provider and access method, an observed answer, its source evidence, its collection status and a practical next action.
Changes are followed by fresh compatible observations. Movement is reported as measured change under recorded conditions, not as guaranteed causation.
The first meaningful validation is owner-site dogfood: run the workflow on authorised websites, record cost and reliability, make evidence-linked improvements and measure citations, referrals and conversions separately.
Broader access follows only when identity, tenant isolation, provider controls, recovery, support, data rights and commercial journeys pass their acceptance gates.
04 / Limitations
05 / Next step