What AI marketing includes
- AI-in-marketing assessment: where it adds value in your operation and where it doesn't. You receive a prioritized map of opportunities.
- Enhanced production workflows: asset versioning, adaptation by country and language, subtitling and summaries.
- Message personalization by audience and moment, using the brand's own data.
- Conversational agents for customer service, lead qualification or internal support, trained on the brand's content.
- SEO for AI engines (AEO and GEO): structure, data and content to get cited.
- Training for your team on tools and usage criteria, with Globaldardos Academy.
How we apply AI to your marketing, step by step
- 01
Business vision
Which objective, which process, which data. You receive the assessment and prioritized use cases.
- 02
Focused pilot
A 4-to-6-week pilot with before-and-after metrics. You receive the measured result and our recommendation.
- 03
Implementation
Workflows, tools, integrations and usage guides. You receive documented processes, up and running.
- 04
Governance and improvement
Quality criteria, human review and continuous measurement. You receive the report and the next opportunities.
John Deere · Expoagro 2026
We proposed and implemented an activation with an AI-based agent that interacted with visitors at the stand, sparking real conversations and bringing people closer to the product. The result exceeded the team's expectations. The blog article on AEO and GEO and this very site, structured for AI-powered search engines, also show the method.
Which companies AI marketing is for
Companies that want to make the most of AI without losing brand identity, and teams looking for strategic judgment rather than trendy tools.
