What this role is about

You will decide what we build for search and AI answer engines, and how we prove it worked. The work covers the strategy: which audiences and intents to target, how the site is structured around them, and which pages are worth building at scale. It also covers the systems: templated pages generated from data, the technical layer that lets search engines and AI crawlers reach them, and the measurement that tells us what to scale and what to cut.

What you will do

- Build topical maps and intent models that connect buyer problems to pages, and set the build order by expected pipeline, not by search volume alone.

- Plan bottom-of-funnel content: pages for buyers who are close to a decision, with clear differentiation and conversion paths.

- Design programmatic page systems: data sources, templates, uniqueness rules, internal linking, and quality thresholds that stop thin pages from shipping.

- Run technical audits covering crawl paths, indexation, log file analysis, rendering, canonicals, structured data, and sitemap hygiene.

- Set up AI visibility tracking: fixed prompt sets, citation share by engf what answer engines cite and why.

- Write and maintain test plans. Define hypotheses, success metrics, and minimum sample windows before each change, and report results honestly, including the ones that fail.

- Work with developers on templates, schema, and rendering, and write the specs they build from.

Requirements

Must have:

- Working knowledge of how search engines crawl, index and rank pages, and of how LLM-based answer engines retrieve and cite sources.

- Clear written English. Danish is a plus.

- The habit of stating assumptions, testing them, and saying when a result is weak.

- Experience using AI tools for real analysis, with the judgment to check

Nice to have:

- Hands-on work with log files, crawlers such as Screaming Frog or similar, or Search Console APIs.

- Experience shipping templated or programmatic pages, including data feeinking rules.

- Basic front-end or CMS knowledge: HTML, JSON-LD, Next.js, or headless CMS setups.

- Experience with experimentation, holdout tests, or attribution for organic and referral traffic.

- A strategy document, audit or analysis you wrote that changed a real decision.

No specific degree is required.

What you get

- Ownership of a search strategy on a live B2B product, with real data to work from.

- Direct access to the founders, and influence over what the product team builds for search.

- Access to Google Search Console, Claude Team and our analytics tooling.

- Permission, with approval, to show the work in a portfolio or interviews.

- A written reference for good work.

- Flexible hours around your studies.

How you can grow

First two weeks: learn the product and the current data, and deliver one audit with a ranked list of fixes.

First month or two: own one page system end to end, from data model to measured results.

After that: own the testing roadmap and the AI visibility reporting, and next quarter.

What to expect

The team is small and moves fast. The role is new for us and the scope is still forming. Some of the work is unglamorous: cleaning data, debugging templates, and checking that a fix shipped. We cannot promise a paid position or a job offer.