VisibleBrands
AI visibility optimization platform (AEO)- PERIOD
- 2026 — NOW
- ROLE
- Software engineer
- TEAM
- —
- STACK
- Next.js · TypeScript · LLM APIs · Crawlers · Vercel · Sentry
- LINK
- visiblebrands.ai ↗
Websites are built for Google, but buyers now ask ChatGPT, Gemini and Perplexity. VisibleBrands audits how AI engines crawl and understand a site, scores its visibility against competitors, and turns the gaps into a prioritized fix list.
What I did
- Built the AEO audit pipeline that scans how AI crawlers read and interpret a website.
- Implemented repeatable, prompt-based checks across AI engines for consistent visibility scoring.
- Developed competitor ranking, prompt & intent analytics for the visibility dashboard.
- Turned audit results into prioritized, keyword-level action plans.
01 Problem
Buyers now ask ChatGPT, Gemini and Perplexity instead of Google — and most brands have no idea whether AI recommends them. Classic SEO tools stop at search result pages.
02 Approach
Crawl the site the way AI agents do, run fixed prompt sets across engines, score visibility against competitors, then turn every gap into a prioritized fix.
03 Result
Consistent visibility scores and a clear action list — fixes that show impact in weeks, not months. [add a metric if you can share one]
Repeatable prompt runs over one-off queries
AI answers are non-deterministic — ask twice, get two answers. Scores are built from the same prompt set run repeatedly and aggregated, so results stay comparable week to week.