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AI discovery · 6 min read

Becoming a source for AI search

Answer engines assemble responses from sources they can interpret and trust. Brands earn a place by becoming clearer and more useful across their own pages and the wider web.

01

Make the entity unambiguous

Use consistent names, descriptions, expertise, people, and relationships. Structured data can help machines read those facts, but it cannot compensate for contradictions.

02

Publish evidence, not filler

Original methods, technical documentation, expert analysis, and transparent examples give answer systems something specific to cite.

03

Measure prompts and citations

Track the questions that matter, the sources being cited, and how competitors are represented. Use those observations to improve the underlying source rather than merely rewriting for a model.

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Independent Gothenburg agency · Since 2015

More than ten years of change has made us less interested in shortcuts.

Zalster was founded in 2015. The tools have changed quickly since then, while the need for clear priorities, dependable measurement, and well-executed work has remained.

01

Platforms will change

We have seen channels, formats, and algorithms come and go. The strategy still needs to work after the next product update.

02

The business is the reference point

Platform data is useful, but margin, customer quality, and realised sales decide whether the work creates value.

03

Experience should stay close to delivery

Senior specialists remain involved in analysis, implementation, and ongoing decisions—not only the first meeting.