Generative AI (GenAI) is rapidly evolving from a tool marketers use to a strategic asset they design and control. Whilst early adoption focused on using pre-built AI models like ChatGPT, Claude and Mistral, today’s marketing teams are engineering AI-driven solutions tailored to their brand’s needs.
The shift from AI users to AI architects is redefining digital marketing. This evolution is unlocking new levels of efficiency, personalisation and strategic decision-making.
The evolution from AI users to AI builders
Until recently, most AI tools worked in isolation, limiting their ability to align with brand identity, content strategies or customer journeys. Now, AI agent frameworks and no-code platforms are enabling businesses to develop AI solutions that analyse, adapt and execute based on real-time data.
Platforms like CustomGPTs by OpenAI and low-code automation tools such as Zapier and Make allow marketers to go beyond static AI interactions. Instead of using AI to generate content or automate responses, they can now build systems that continuously learn, refine strategies and improve execution over time.
But what does this look like in practice? Let’s explore a real-world example of GenAI with data integration in action.
Implementing AI in content strategy: The SEO-SONALITY analyser
Timing is crucial in digital marketing. Understanding when your audience is most active can significantly impact engagement and conversion rates. Analysing keyword trends, search behaviours and seasonal traffic patterns has traditionally been labour-intensive. To streamline this process, we developed an SEO-SONALITY analyser, a CustomGPT designed to optimise content publication timing for maximum audience reach.
How it works
- Data input and intent recognition: The tool gathers user inputs, including target keywords, industry-specific terminology and content goals.
- Automated data retrieval: It connects to Keyword Tool IO via APIs to assess search volume fluctuations, seasonal spikes and trending topics.
- Intelligent insights and execution: The analyser identifies optimal content publishing windows aligned with peak search activity.
- Actionable recommendations: It provides publishing suggestions based on real-time trends, reducing manual effort.
Benefits of the SEO-SONALITY analyser
- Increased productivity: Automates keyword research, trend analysis and scheduling, minimising guesswork.
- Real-time, data-driven decisions: Ensures marketing strategies are informed by the most current, actionable data.
- Customisation: Adapts to individual user goals, industries and content types, fitting diverse workflows.
Tasks that once required extensive manual effort are now seamless, autonomous and highly accurate, transforming SEO strategy into a real-time, AI-powered advantage.
We are leading the AI revolution in marketing
The ability to create custom AI solutions is becoming a key competitive advantage, allowing marketers to move beyond basic automation into intelligent, adaptive marketing strategies.
Are you ready to transform your marketing with AI agents? If you are looking to build a custom AI solution, integrate automation or collaborate on AI-driven innovations, we are here to help – get in touch today for a no-obligation chat.
Let’s build the future of digital marketing together!
