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AI news · Schibsted · Publisher ads

Schibsted sells Meta-style AI ad optimisation with Nodals

The Nordic publisher prices new native ads per click, using custom models from London’s Nodals AI, to win back budgets that went to Meta’s Advantage+.

By Alexandre S. , 01:45 UTC

Schibsted, the owner of Norway’s VG and Sweden’s Aftonbladet, is borrowing Meta’s methods to win ad money back from Meta. It works with Nodals AI, a London company that builds ad optimisation models for publishers, AdExchanger reported on 12 November 2026. Since a trial last summer, Schibsted has built the system into a new line of native ads, the kind styled to match the articles around them, which it sells directly and charges for by the click instead of per thousand impressions.

Retro-futurist illustration: a striped sunset over a grid horizon under a starry sky, with a ringed globe standing on the horizon.
Drawn by adtestbench from “Custom Ad Algorithms Are Helping Schibsted Media Win Budgets Back From Meta”,

A model trained separately for each publisher, on what that publisher knows about its own readers, scores every impression against the goal an advertiser picks, whether a click, a sale or a finished video view, Nodals’ site says. Christer Ljones, Schibsted’s director of ad data capabilities, told AdExchanger that the pitch suits brands whose Meta returns have flattened: move 10% of the Meta budget across and keep most of the conversions.

Schibsted also joined 180 other publishers in suing Meta in Norway over its planned terms, and an Oslo court froze them there. Meta has since paused that rewrite everywhere, as our guide to Meta’s generative AI ad terms records.

Meta’s own tools set the price Schibsted has to beat. Our row for Meta’s Advantage+ creative features, the generative tools that sit beside the optimisation Ljones names, finds no separate fee in Meta’s posts: advertisers pay only for the ads (posts re-read 31 October 2026, our prices).

Per-click pricing lets a brand trial Schibsted the way Ljones proposes, with 10% of its Meta budget, and compare the conversions it gets back.