Contents

EN Underline
  1. Episode Overview
  2. What You'll Learn
  3. Timestamps
  4. Deep Dive Breakdown
  5. Essential Takeaways
  6. Resources Mentioned
  7. Next Steps
  8. Watch This Next

Get Weekly Marketing Tips

Join 30,000+ marketers and get the best marketing tips every week in your inbox





Episode Overview

Join Charlie Marchant, CEO of Thinkplus, and Dale Davies for a deep dive into some bold marketing predictions for 2025.

From the meteoric rise of AI search platforms to personalised search results and evolving consumer behaviours, they explore how these shifts will fundamentally change digital marketing strategies. With 45% of US and 29% of UK users already embracing generative AI search, the transformation is well underway.

For marketing leaders grappling with resource allocation and strategic planning, this episode provides crucial insights into preparing for the AI revolution. Whether you’re a marketing or business leader, discover practical steps to adapt your marketing strategy for this rapidly evolving landscape. Learn why early adoption and experimentation are essential for staying competitive in the age of AI-driven search.

What You’ll Learn

  • Develop strategies to optimise for generative AI search platforms beyond Google
  • Prepare your team for the shift towards personalised search results
  • Adapt your content strategy for longer, more conversational search queries
  • Leverage emerging voice search opportunities effectively
  • Navigate the evolution of visual search and shopping experiences

Timestamps

00:00 Welcome to the Dojo

00:52 – Prediction 1

09:04 – Prediction 2

25:20 – Prediction 3

28:05 – Prediction 4

32:37 – Prediction 5

36:38 – Prediction 6

Deep Dive Breakdown

Topic 1: The Rise of Generative AI Search

Context:

A seismic shift is underway in search behaviour. ChatGPT, Gemini, and Perplexity are rapidly gaining market share, forcing businesses to rethink their search marketing strategies. This transformation presents both opportunities and challenges for marketing teams of all sizes. The race for AI search dominance will likely lead to significant platform consolidation through mergers and acquisitions.

Key Insights:

Market Adoption
  • Finding: 45% of US and 29% of UK users already employ generative AI search
  • Explanation: Early adoption rates indicate a fundamental shift in search behaviour that marketers must address

Topic 2: Personalised Search Results

Context:

Google faces mounting pressure to maintain search market share amidst AI competition. The solution may lie in delivering highly personalised search results based on individual user data, search history, and browsing patterns. This controversial development could revolutionise how businesses approach search visibility whilst raising significant privacy concerns.

Key Insights:

User Experience vs Privacy
  • Finding: Implementation requires extensive personal data collection and analysis
  • Explanation: Success depends on balancing improved user experience with privacy concerns

This is the video that Dale referenced about an AI agent doing some shopping for a user:

This is the video that Dale referenced which shows how an AI agent can read your screen to assist you:

Topic 3: Voice Search Evolution

Context:

After years of false starts, voice search may finally reach its tipping point. The widespread adoption of wireless earbuds and improvements in AI language models are creating perfect conditions for voice search to become mainstream. This shift will fundamentally change how users interact with search engines and digital assistants.

Key Insights:

Behavioural Change
  • Finding: Users increasingly prefer voice interaction for complex queries
  • Explanation: Natural language processing improvements make voice search more practical and appealing

Essential Takeaways

  • Marketing teams must allocate dedicated resources for AI search experimentation
  • Longer, more conversational search queries will become the norm
  • Voice search adoption will accelerate with improved AI capabilities
  • Privacy concerns will influence the pace of personalisation
  • Early adopters of generative AI optimisation will gain significant advantages

Next Steps

Next 24 Hours:

  • Audit your current search marketing budget allocation
  • Test your key product searches on ChatGPT and Gemini
  • Review your content strategy for conversational queries

Next Week:

  • Begin documenting AI search experiments
  • Map out potential voice search use cases
  • Analyse your long-tail keyword performance

Next Month:

  • Develop a comprehensive GEO strategy
  • Create an AI search testing framework
  • Plan resource allocation for ongoing experimentation

Watch This Next