Skip to main content
Menu

Engineered to be seen.

Pixel Nordic helps brands get seen, considered and chosen by people and their AI agents.

Your brand now has two audiences.

01

Search got a new user.

Apotek Hjärtat website displayed on a phone

People still search. Now their agents search too.

02

Memory decides. Search confirms.

Aim'n website displayed on a tablet

The shortlist can form before anyone visits your site.

03

Recalled, not just recognised.

Securitas website displayed on a desktop monitor

You cannot control the answer. You can strengthen what agents read.

04

Evidence earns the choice.

Sendify campaign displayed at a bus shelter

Every claim needs a source people and agents trust.

The NK homepage campaign on a lit poster in a bus shelter, on a rainy street at night

Pixel Nordic builds the foundation and the new layer: Content Engineering across the whole long tail, and brand marketing to agents, without pretending anyone controls the answer.

Diagnose

The Hedvig homepage on a monitor in an open-plan office at dusk
01
  • Question

    Where does demand go unmet?

  • Work

    Demand map, recall probes, crawl logs

  • Output

    Buying situations you miss, ranked

Prioritise

The Work System homepage on a laptop on an oak desk by a window
02
  • Question

    What should move first?

  • Work

    Weigh demand, evidence and effort

  • Output

    A sequenced action plan

Ship and measure

The Holmgrens Bil homepage on a digital billboard on a brick building over a street at dusk
03
  • Question

    Did the work change anything?

  • Work

    Ship, then measure per platform

  • Output

    Verified learning and next priorities

Cases

Proof, not promises.

Aim'n sportswear campaign portrait
Aim'n
Barilla pasta dish
Barilla
Babyland's Barnkalas och Party page on a laptop, with the product page for a wooden safari birthday train on a phone in a stand beside it.
Babyland
+9.5%

Click-through rate on Babyland's rewritten category pages.

Babyland's Barnkalas och Party category page, with its intro and a grid of party products, open on a laptop on an oak dining table in soft daylight.
Period
Published November 2025. Six months after, against six months before.
Work
A data model built from the products themselves, in place of the legacy categories.