Digital marketing in 2024 is no longer just about choosing between SEO, social media, or paid advertising. One structural factor is reshuffling the cards: the European regulation on artificial intelligence, which comes into effect on August 1, 2024, imposes concrete constraints on marketing teams that use AI-generated content or chatbots. Successful marketing strategies now integrate this regulatory dimension, in addition to the classic levers of acquisition and retention.
EU AI Act and marketing: what the regulation changes for your content strategy
Most guides on marketing strategies for 2024 present artificial intelligence as a performance accelerator. The blind spot of these analyses is the legal framework that accompanies it.
The European regulation on AI (EU AI Act, Regulation (EU) 2024/1689) published on July 12, 2024, introduces transparency obligations for AI-generated content. Chatbots deployed on a website must clearly indicate that they are not human. Textual or visual content produced by generative AI systems may require explicit labeling, depending on their context of use.
For a company that produces content at scale using automated tools, field feedback varies on the exact level of disclosure required in different cases. The obligations will be phased in between 2025 and 2026, which provides a window for adaptation, but no escape. Ignoring this framework exposes companies to sanctions and, more immediately, to a loss of customer trust.
The resources available on the Performance and Marketing Management site allow you to track the evolution of these constraints and adjust tactical choices accordingly.
AI content and Google ranking: the risk of penalties in 2024
The other structural constraint concerns Google’s treatment of content produced en masse by artificial intelligence. Recent algorithm updates explicitly target large-scale AI content deemed to have no added value. Publishing dozens of automatically generated articles without editorial oversight is akin to betting on a lever that can backfire against the company’s web visibility.
The signal sent by Google is clear: editorial quality takes precedence over volume. A revised article, enriched with industry expertise and structured around a specific search intent, performs better than mass production without proofreading.
In practical terms, this changes how to integrate AI into a content strategy:
- Use AI as a preparation tool (research, structuring, drafting) rather than as the final writer
- Systematically add verified data, concrete examples, or an editorial perspective unique to the company
- Limit automated publishing without human intervention, especially on pages intended for organic search
This approach requires more time per published piece of content. However, it protects SEO positioning over the long term and strengthens brand credibility.
Social commerce and short video: conversion levers that are scaling up
Social commerce, meaning direct sales via social networks, is experiencing marked growth. TikTok Shop illustrates this trend: the platform combines short video content with integrated purchasing, reducing the journey from product discovery to conversion.
For a company targeting a B2C market, vertical short video has become the most engaging format on social media. The available data do not allow for a conclusion on a universal conversion rate, as results vary significantly by sector and price positioning. However, the format is establishing itself as a communication standard on TikTok, Instagram Reels, and YouTube Shorts.
A common mistake is to replicate content designed for other formats on these platforms. A 30-second vertical video showcasing a product in a real-life situation generates more interactions than a shortened commercial spot. The conversational tone, perceived authenticity, and speed of message comprehension matter more than production quality.
Customer data and personalization: balancing performance and compliance
Marketing personalization relies on leveraging customer data. In 2024, the balance between data collection and GDPR compliance structures any effective digital strategy. Companies that leverage behavioral data (browsing, purchase history, interactions) to personalize their campaigns achieve better results than those sending generic messages.
The challenge is not technical. Segmentation and marketing automation tools exist and are accessible, even for small businesses. The real friction point lies in the quality of the data collected and in obtaining explicit user consent.
- Prioritize first-party data collected directly through the website or customer interactions
- Implement marketing automation scenarios based on actual behaviors, not demographic assumptions
- Document the legal bases for processing for each campaign, which becomes an operational prerequisite with the strengthening of controls
- Test personalization on restricted segments before generalizing, to measure the real impact on conversion
Personalization without reliable data produces the opposite effect: a poorly targeted message annoys more than it converts. It’s better to send a well-segmented email to a small list than a massive campaign to an unqualified database.
The strongest marketing strategies in 2024 are not those that pile on the most channels or technologies. They are the ones that integrate regulatory constraints from the design stage, treat AI as a tool rather than a shortcut, and measure performance based on concrete indicators rather than the volume of content published. The framework has changed, and companies that integrate it early have an advantage that mere creativity cannot replace.
