Earn visibility in changing search.
Build technically sound search visibility across classic results, AI answers, citations, and the measurement layer behind them.
- In planning
- No launch date is promised
- Remote-first
- Proposed delivery format
- Practical proof
- Capstone-led curriculum design
- Interest only
- Not an internship application
Why this belongs on the roadmap.
Search teams now have to understand both traditional discovery and answer engines. The planned track would focus on verifiable visibility work, careful sampling, and claims that can survive client scrutiny.
Research sources support the direction, not a launch date or outcome. This page does not promise a job, salary, client, income, or final curriculum.
Research basis
The work this curriculum would cover.
Each planned module is designed to produce evidence, moving from foundations to work a real operator can inspect.
- 01Explain how retrieval, ranking, citation, and answer generation differ
- 02Audit crawlability, schema, performance, and information architecture
- 03Create citation-ready pages with clear entities and sourced claims
- 04Build a repeatable prompt-sampling and share-of-voice method
- 05Run a human-reviewed content and fact-checking workflow
- 06Report uncertainty, limitations, and measured changes honestly
The proof this track would demand.
A complete search and answer-engine engagement for a real business: audit, shipped improvements, dated evidence, repeatable measurement, outcome analysis, and a client-ready roadmap.
The working stack.
Tools can change before launch. The proposed workflow and quality bar are the durable part.
- Google Search Console
- Bing Webmaster Tools
- Screaming Frog
- Claude
- ChatGPT
- Perplexity
- Google Sheets
Register interest in this track.
Join the track-specific waitlist. This is separate from the internship intake waitlist and does not submit an application.