Content & materials for companies: the complete guide

In advertising, the creative decides the outcome - in a meta-analysis of nearly 500 campaigns it accounted for 49% of incremental sales. At the same time generative AI averages by design: content created with AI is more similar to other AI-assisted content than human work is, and audiences are alert - nearly 90% of consumers want to know whether an image was created using AI. This guide sorts out how to make materials that work for your brand - and how to use AI where it genuinely speeds things up, not for show.

Each topic is summarized below; where we already have a full post with data and sources, we link to it. Further posts in this cluster are in the works and will be linked here.

Will AI replace graphic designers?

The data does not show it: Canva put design tools in the hands of hundreds of millions of people, and US designer employment stayed stable through that decade. AI generates elements and speeds up the craft, but it averages by design, loses series consistency and does not know your brand book - a human assembles the final material. Read the full post: will AI replace graphic designers →

Does AI-generated content have to be labelled?

From 2 August 2026 - yes, but less than the panic suggests. A visible label is required for deepfakes: realistic content that could be taken as authentic. Illustrations and abstractions are out of scope, and machine-readable marking in files is the tool vendors' job - yours is not to strip the metadata. Read the full post: do you have to label AI content →

What content actually works in B2B and industry?

Content that answers the buying committee's questions before anyone writes to sales: concrete case studies, data, and materials showing the process from the inside. In B2B, content does not compete with entertainment - it competes with the buyer's uncertainty. That is why production documentation, a case study with a number and a proper catalogue do more than a viral hit.

Product photos: a shoot or AI generation?

Packshots and catalogue materials demand fidelity to the product - proportions, colours, details - and that is exactly where AI slips most often. The proven setup is hybrid: a base from a shoot or the client's renders, AI for backgrounds, retouching, format variants and animating a frame into video. That is how we work day to day - a human assembles the design, AI accelerates the technical stages.

How to be visible in ChatGPT and Perplexity (GEO)?

People increasingly ask AI assistants for suppliers instead of Google - and assistants cite pages that answer directly: short answer capsules, sourced data, FAQs and proper structured data. This is the new layer of SEO (GEO - generative engine optimization), which we test on our own site and roll out for clients.

In-house team, freelancer or agency?

A versatile designer - digital, web, print, layout, AI - is rare and expensive, and a creative person usually does not want a full-time job with one employer: they need varied projects. For most companies an external team works best, with tasks going to specialists - you pay for the competence when you actually use it. We break down the maths in the designer post: in-house, freelancer or agency →

How we help

We create materials for companies - photos, video, graphics, print - and tie them into one coherent brand system. We reach for AI only where it genuinely speeds things up, not for show:

• Photo and video - product and industrial shoots, animating photos and renders into video.
• Graphics and print - digital and print materials consistent with the brand book, from social to catalogues.
• Content and GEO - source-backed texts, visible in Google and cited by AI assistants.
• Compliance - AI content labelling (Art. 50 AI Act) built into the production process, not bolted on.

Frequently asked questions

Will AI replace graphic designers? The data does not show it - despite a decade of Canva and the generator boom, designer employment is stable. AI generates elements and speeds up the craft, but the final, on-brand material is assembled by a human with an eye for aesthetics.

Does AI-generated content have to be labelled? Only some of it. From 2 August 2026 a visible label is required for deepfakes - realistic content that could be taken as authentic. Illustrations and abstractions just keep the metadata the tool embeds.

What does content production cost for a company? It depends on scope: preparation, the shoot day, post-production and rights to the materials. AI lowers the bill where it supports the process - retouching, format variants, animating materials - not where it would replace the shoot.

Key takeaways

• The creative decides the outcome - it drives about half of advertising effect, so averaged material is a loss, not a saving.
• AI is the designer's tool, not their replacement - it generates elements; a human assembles the whole and guards the brand.
• You label deepfakes, not everything - and you never strip the tools' metadata.
• In B2B, content beats the buyer's uncertainty - documentation, data and case studies over chasing virality.
• Materials should form a system - five publications side by side must look like one brand.