In this episode of The Digital Marketing Podcast, Daniel Rowles is joined by Emma Tronson, Deputy Director of Marketing at Aston University, for a practical, honest and refreshingly structured look at how to move beyond AI experimentation and into real organisational adoption.

Many teams are stuck in what Daniel calls "pilot purgatory". Everyone is testing tools. Everyone is experimenting. But very few organisations have truly embedded AI into day-to-day operations. Workloads have not reduced. If anything, they have increased.

This episode explores what it actually takes to embed AI into a complex organisation with multiple stakeholders, legacy systems, risk concerns and competing priorities

Emma shares her step-by-step journey of launching an AI task force, securing leadership buy-in, aligning with institutional strategy, and creating a structured framework for adoption that delivered tangible outcomes within a year.In This Episode:

From career setback to AI champion
Emma explains how missing out on a promotion led her to proactively position herself as indispensable by embracing AI learning

Mission AI Impossible
How she pitched a structured AI task force aligned to Aston University's 2030 strategy and secured budget, time and executive support.

Why time matters more than money
Resource allocation and protected "lab time" proved more critical than financial investment.

The six focus areas model
Data and analytics, general work support, copywriting, visual and creative, SEO and web, and social and community. Each task force member owned one domain.

Start small and build confidence
Select staff were upskilled first before launching more widely across the department.

Align AI to real use cases
Experimentation was always tied to live marketing and admissions challenges rather than abstract testing.

Governance before scale
Clear internal guidance helped build confidence in responsible AI usage.

The system integration challenge
Legacy systems and risk aversion slowed deeper embedding, a common challenge across many organisations.

Cohort Two and scaling adoption
Expansion into wider teams with three new priority workstreams: personalisation, data, and custom builds.

Why AI will not replace marketing teams
Instead, it will reward those who actively upskill and adapt.

AI adoption requires structure.

Align initiatives to business strategy from the outset.

Start with a focused pilot group, then scale.

Protected experimentation time is essential.

Bring sceptics into the process rather than excluding them.

System integration and governance are often the biggest blockers.

Innovation must be baked into everyday work, not treated as a side project.

📥 Access the show notes, tools, and links at: https://targetinternet.com/resources/how-to-drive-ai-adoption

In this episode of The Digital Marketing Podcast, Daniel Rowles sits down with Kipp Bodnar, CMO of HubSpot, to discuss what may be the most disruptive year in marketing history.

Kipp believes that 2026 could represent the biggest single wave of change our industry has ever seen. Weeks feel like months. Channels are fragmenting. Discovery is shifting. AI agents are entering workflows. And traditional attribution models are starting to break down.

From Answer Engine Optimisation to AI agents, rising ad costs to workflow automation, this conversation explores how marketers can stay ahead when the pace of change is accelerating.

Why 2026 may be the biggest year of change in marketing history
Kipp explains why discovery, personalisation and team workflows are being reshaped simultaneously.

Answer Engine Optimisation vs traditional SEO
The shift from short keyword queries to ultra long-tail, conversational prompts of 40 to 60 words changes everything.

Mentions vs citations in AI search
Why brand visibility in ChatGPT, Gemini and Claude is more complex than link-based SEO ever was.

The first mover advantage in AI discovery
Early adopters can make exponential gains because competition is still low and optimisation is immature.

Why AI agents are thriving in customer service but lagging in marketing
Marketing problems are less formulaic and more complex, making agent adoption slower but highly promising.

The practical AI workflow hack every marketer should try
Record yourself completing a repetitive task, upload it to Google Gemini, and ask how to automate it. A simple but powerful shortcut to AI adoption

Why attribution is becoming harder again
The "golden age" of clean click-to-conversion tracking is fading as AI intermediates discovery.

Rising ad costs and the need for new growth channels
With paid media inflation increasing, marketers must adopt emerging channels such as AEO and AI-enabled creative optimisation.

The importance of strategic conviction
AEO cannot be treated as a side project. It must be embedded as a core capability.

HubSpot's approach to AI and context
Positioning HubSpot as the context layer for AI, enabling agents and assistants to work from real customer data.

Discovery is changing faster than most organisations are adapting.

Answer Engine Optimisation requires different content structures, including FAQs and machine-friendly formatting.

Early adoption in AI search offers outsized returns.

AI-assisted workflows are often more impactful than fully autonomous agents in marketing today.

Marketing teams must bake experimentation and innovation into daily operations.

The biggest risk is not AI itself, but failing to evolve working practices alongside it.

📥 Access the show notes, tools, and links at: https://targetinternet.com/resources/the-hubspot-cmo-interview-kipp-bodnar-on-ai-answer-engine-optimisation-and-the-future-of-marketing

AI is accelerating change at a pace most organisations have never had to manage before. For marketers and business leaders, this is not just another wave of innovation. It is a fundamental shift from linear change to exponential change, where familiar planning cycles, transformation programmes, and long-term roadmaps start to break down.

In this episode of The Digital Marketing Podcast, Daniel Rowles is joined by Geoff Tuff, Consulting Principal at Deloitte and co-author of Hone: How Purposeful Leaders Defy Drift. Together, they explore why traditional transformation initiatives fail so often, and what leaders can do instead to build organisations that continuously adapt without losing their sense of direction. Drawing on real-world examples, behavioural science, and lessons from Geofff's latest book, the conversation reframes change as an ongoing discipline rather than a one-off event, and offers a practical way to respond to the disruption created by AI and other exponential forces .

Why AI represents a shift from linear to exponential change, and why this makes traditional planning models fragile

Why large-scale transformation programmes fail so frequently, and the hidden costs they create for organisations

The concept of "drift" and how companies slowly move away from their original purpose without realising it

The difference between sharpening and honing, and why constant realignment beats radical reinvention

How leaders can "bake in" innovation so it becomes urgent, not just important

Why behaviour, not technology, is the real engine of change inside organisations

The role of management systems as the invisible drivers of culture and decision-making

What Minimally Viable Moves are, and how they help organisations adapt without overcommitting

Lessons from Amazon and Jeff Bezos on designing systems that reinforce the right behaviours

How informal signals from senior leaders can unintentionally shape priorities and outcomes

Exponential change makes waiting for the perfect moment to transform a dangerous strategy

Most organisations drift off course through accumulated small decisions, not dramatic failures

Honing is about continuous, incremental alignment rather than destructive overhauls

Leadership power lies less in vision statements and more in the systems that guide everyday behaviour

Small, testable moves reduce risk and keep organisations responsive in uncertain environments

What leaders praise, question, or ignore can matter more than formal strategy documents

Staying aligned to purpose requires constant attention, not periodic transformation projects

📥 Access the show notes, tools, and links at: https://targetinternet.com/resources/dealing-with-exponential-change-leading-in-an-ai-driven-world

The generative AI landscape has shifted again, and at speed. In this update episode, Daniel Rowles breaks down a rapid sequence of releases from OpenAI and Google, explaining what has actually changed, what genuinely matters, and how marketers and business leaders should respond.

Covering everything from ChatGPT 5.x and Gemini 3 through to image generation breakthroughs, AI-powered apps, and the rise of accessible 'vibe coding', this episode is a practical briefing rather than hype-driven commentary. Daniel focuses on real-world capability, usability, and where these tools are already changing how marketing teams work, build, and analyse.

Rather than asking which model is "winning", the episode reframes the question around task-based selection. Different tools now excel at different jobs, from coding and image editing to workflow automation and reporting. Understanding those strengths is quickly becoming a competitive advantage

How the AI model race intensified between OpenAI and Google at the beginning of 2026

What actually changed with ChatGPT 5.1 and 5.2, beyond the headline claims

Why Gemini 3 represents a major leap in reasoning and coding capability

How image generation tools have crossed a new threshold in photorealism and editing

What Nano Banana Pro means for branded, on-style visual creation

Why ChatGPT connectors becoming "apps" is more important than it sounds

How tools like Canva, Adobe, and Figma now integrate directly into AI workflows

What vibe coding really is, and why it matters for non-technical marketers

How canvas mode transforms the way code, content, and interfaces are created

Why AI-powered browsers and agent modes could redefine reporting and analysis

No single AI model is best at everything, and choosing by task is now essential

Image editing and brand-consistent visuals are becoming dramatically more accessible

Marketers can now create interactive tools and content without traditional development

AI-assisted coding is shifting from novelty to practical everyday use

Workflow automation and reporting are emerging as some of the biggest wins

Understanding interfaces and deployment matters as much as model intelligence

📥 Access the show notes, tools, and links at: https://targetinternet.com/resources/generative-ai-update-what-the-latest-model-wars-mean-for-marketers

Search is changing fast. With AI overviews now appearing in the majority of Google results, the rules of visibility are being rewritten in real time. In this episode, Daniel Rowles explores what answer engine optimisation actually means in practice, and how marketers can adapt without chasing myths, hacks, or constantly shifting theories.

Drawing on real testing from Target Internet over the past year, this episode cuts through the noise around GEO, AEO, and SEO to focus on what genuinely works. The result is a practical framework for improving visibility both in traditional organic search and within AI-powered results, particularly Google's AI overviews. If you are worried about falling click-through rates, changing user behaviour, or how large language models decide what to reference, this episode provides clear, grounded guidance.

Rather than treating AI search as a black box to be cracked, Daniel reframes it as a probability system influenced by clarity, credibility, and consistency. The five techniques covered here are designed to future-proof your content strategy while still delivering value to real users today.

Why the industry cannot agree on GEO vs AEO, and why the distinction matters less than you think

What current data tells us about AI overviews, click-through rates, and changing search behaviour

How question-led content aligns with the way people now search using AI

Why inverted pyramid writing is suddenly more important than ever

How digital PR and brand mentions influence entity reputation in AI systems

The growing role of advocacy, reviews, and online sentiment in visibility

Why multimodal content is becoming a core ranking signal, not a nice-to-have

How schema markup removes ambiguity for search engines and large language models

Where to focus your effort while Google's AI results are still evolving rapidly

Answer engine optimisation overlaps heavily with traditional SEO, so doubling down on fundamentals is still smart

Clear, direct answers to specific questions improve your chances of being referenced by AI

Brand visibility is no longer just about links, but about being mentioned in the right contexts

Positive sentiment and third-party validation increasingly influence AI recommendations

Publishing content in multiple formats strengthens your overall search footprint

Structured data helps machines understand your content, and humans engage with it more easily

📥 Access the show notes, tools, and links at: https://targetinternet.com/resources/answer-engine-optimisation-aeo-how-to-optimise-for-google-ai-overviews

In this episode of The Digital Marketing Podcast, Daniel Rowles speaks with Phil Treagus-Evans, author of the new book Human First Marketing, to explore why now, in a world dominated by AI, automation, and synthetic content, marketers must rediscover their humanity.

As generative AI reshapes how content is produced, and digital channels become flooded with bland, algorithmically generated material, brands risk losing the very thing that makes them relatable: their people. Phil offers a timely and practical guide for putting humans back at the heart of your marketing strategy, from customer research to team culture and executive presence.

Drawing on his work at Giraffe Social, Phil breaks down a four-part framework for building trust, fostering connection, and standing out in a sea of sameness. If you've ever felt like your content is just noise, or you're posting because you're "supposed to", this episode will help you hit reset.

Marketing isn't working like it used to
Phil opens with a bold claim, and backs it up with data on ad saturation, trust erosion, and content homogenisation due to AI.

What is Human First Marketing?
A new approach that prioritises people over platforms, empathy over efficiency, and purpose over vanity metrics.

The four pillars of Human First Marketing

People: Deep customer understanding and employee advocacy

Authenticity: Real voices and honest content

Connection: Interactions over transactions

Purpose: Strategy that means something — and gets results

Why you should ditch customer avatars
Phil introduces his EMPATH framework for audience research that avoids reductive stereotypes and leans into emotional understanding, patterns of behaviour, and real team insight.

The power of visibility and vulnerability
From CEOs posting on LinkedIn to sharing the full journey of writing his book, Phil explains how authenticity builds trust, and drives results.

Why trust is the new marketing currency
In an era of deepfakes and automated outreach, being seen as real, consistent and trustworthy is the ultimate competitive edge.

AI isn't the enemy, lazy AI is
Phil and Daniel agree: AI is a fantastic tool, but it's the human decisions around how, when and why we use it that matter most.

How Human First Marketing improves SEO
As Google leans into E-E-A-T (Experience, Expertise, Authoritativeness, Trust), human-centred content becomes not just ethical, but algorithmically rewarded.

Human content performs better - Whether it's lo-fi video or founder-led storytelling, people trust people more than brands.

Leaders must be visible - Exec comms and internal advocacy aren't optional anymore, they're how culture scales and trust grows.

Culture comes first - You can't fake authenticity. If your team doesn't believe in what you do, neither will your audience.

Strategy before content - Don't just post because you should. Post with intent, empathy, and impact.

There's power in transparency - Sharing your struggles, your processes, and your people builds emotional equity.

Use AI as a creative partner - Not a content machine. Challenge your thinking, spark ideas, don't outsource your voice.

📥 Access the show notes, tools, and links at: https://targetinternet.com/resources/human-first-marketing-why-trust-purpose-and-people-matter-more-than-ever

In this episode of The Digital Marketing Podcast, Daniel Rowles and Ciaran Rogers dive into one of the most significant shifts in digital marketing: the rise of non keyword signals and what it means for search, privacy, and the future of campaign targeting.

With AI-powered ad platforms like Google's AI Max and social algorithms driven by behavioural data rather than search intent, the old model of keyword-driven marketing is rapidly giving way to something more opaque, more personalised, and potentially more invasive.

Daniel and Ciaran explore how AI systems now use a vast array of signals, from your browsing patterns and email content to your location history and viewing habits, to anticipate what you might want before you even search. But what does this mean for marketers who've spent years honing their SEO and PPC strategies? And what does it mean for user privacy in a world where your chatbot conversations may be fuelling ad targeting?

What are non keyword signals?
Understand how platforms like Google and Meta are using behaviour, context and historical activity instead of just search terms.

Why your impressions are up but clicks are down
Learn how AI summaries in Google Search are reducing organic click-throughs, even when your rankings are strong.

AI Max campaigns and keywordless targeting
Discover how Google Ads is shifting towards AI-led campaigns that rely on intent and engagement signals rather than keyword triggers , and why some brands are seeing 20–30% uplift as a result.

What Meta's CMO said about disconnected content
Hear how Alex Schultz explained the shift from connected (likes, follows) to disconnected content (Reels, Stories, Shorts), and what that means for social strategy.

Privacy concerns and grey areas
Explore the implications of Meta's new terms allowing AI chat interactions to inform ad targeting, and whether AI chat data could be inadvertently shared or commercialised.

Real-world scenario: Chatbots used for lead capture
Daniel raises a powerful example, what if you offered a free AI chatbot to other brands, then harvested user intent data for your own ad targeting?

Platform security, data visibility and agent risks
From OneDrive access errors to AI agents managing your logins, the hosts discuss the human errors that AI amplifies, and the need for robust security practices.

We're entering a post-keyword era
Platforms are using AI to interpret intent through broader, richer data sources, including chat behaviour, video viewing and app usage.

Organic traffic is being cannibalised by AI summaries
Even if your visibility improves, actual user clicks may continue to decline.

Privacy risks are growing
Terms and conditions are changing, and conversations with AI tools may no longer be as private as they seem.

Marketing teams must audit how they use AI
Understand what data your AI tools are accessing and how that data could be used, now and in the future.

Join the conversation
This isn't just a podcast - it's an open debate. Daniel and Ciaran want your input, and they're giving away prizes, books and merch to contributors.

📥 Access the show notes, tools, and links at: https://targetinternet.com/resources/the-big-debate-non-keyword-signals-ai-chats-privacy

Join the debate: https://www.linkedin.com/feed/update/urn:li:activity:7403862051749564417

In this episode of The Digital Marketing Podcast, Daniel Rowles introduces us to the process of Vibe Coding, a revolutionary approach to software development that leverages AI to make app creation accessible to anyone, regardless of coding experience.

Vibe coding shifts the focus from writing manual code to guiding AI with natural language prompts, allowing non-developers to build interactive apps, tools, and even businesses. Daniel explores the three tiers of vibe coding, from basic one-page web apps to full-scale, secure, AI-powered platforms , and shares practical steps, tools and security tips to get started.

The second half of the episode features a compelling interview with Christo Snyman, a podcast listener who used vibe coding to launch his AI assistant platform Traderly.ai. Christo takes us behind the scenes of building a real-world startup with no prior coding background, sharing his full tech stack, hard-earned lessons, and the mindset needed to succeed.

What is Vibe Coding? Understand how natural language prompts can now be used to create working code, dramatically lowering the barrier to digital creation.

The Three Levels of Vibe Coding

Level 1: Build one-page apps using HTML, CSS, and React, no backend required

Level 2: Add memory, interactivity, and live AI responses through API access

Level 3: Create fully-fledged apps with user authentication, databases, and deployment

Practical Use Cases - From interactive Google algorithm timelines to embedded AI tools for keyword research and content planning, Daniel shares how these tools are being used on Target Internet's own website.

Christo's Journey - From Idea to Startup. Learn how Christo turned a common business pain point — small service businesses missing leads due to message overload — into a scalable SaaS platform.

Discover his full tech stack including React, Azure Functions, PostgreSQL, Firebase, OpenAI, WordPress, and more.

Key Takeaways:

Anyone can now build apps using AI tools, whether it's a timeline, calculator, chatbot, or full customer-facing product.

AI-assisted development removes fear and unlocks creativity, especially for entrepreneurs without a dev background.

Start small and iterate, your Minimal Viable Product doesn't need to be perfect, it needs to be useful.

Vibe coding is the bridge between ideas and execution - fast, flexible and increasingly powerful.

The future of marketing and tech creation is conversational and it's already here.

📥 Access the show notes, tools, and links at: https://targetinternet.com/resources/vibe-coding-how-ai-is-revolutionising-app-development-and-empowering-non-coders

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