AI visibility
In developmentSee how AI assistants find and describe your brand, and what to fix.
An AI visibility tool in private development. It traces how a buyer's question becomes an AI answer, which sources get cited and which website changes are worth making, then re-checks under the same conditions.
01 / The problem
Brands need to know more than whether AI assistants mention them. They need to know which questions and sources shape the answer.
AI visibilityCited sourcesBrand researchMatched re-checks
02 / How I approached it
The decisions that shaped it.
- 01
Start with real buyer questions instead of an abstract visibility score.
- 02
Keep answers, mentions, citations, sources, failures and timestamps together.
- 03
Link every recommended website change to what was observed, and re-check it the same way.
03 / What's inside
What had to work together.
- Buyer questions and market definitions
- AI answer and citation tracking
- Recommended website changes
- Like-for-like follow-up checks
04 / Guardrails
Where the AI stops, and what happens when it is wrong.
- 01
Conditions fixed before any comparison
- 02
Sources, limits and uncertainty kept visible
- 03
Development status and beta access stated publicly
05 / Where it stands
What you can check today.
- Product site and method at ekvidu.com
- Ask, observe and improve workflow described openly
- Beta access by request
Status: In development. I do not claim users, customers or performance numbers unless they are written here.
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