AI

DIGITAL MARKETING: 2025 Most Crucial Intel So Far

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Digital Marketing Search Enging Optimisation in 2025 – Adapting to AI and Emerging Opportunities. SEO Isn’t Dead but Evolving.

Crucial Intelligence. 

Google’s dominance persists (83.54% of searches), but AI chatbots like ChatGPT (4.33%) and platforms like YouTube (6.79%) are gaining traction, signalling a shift in search behaviour.

Q. How have you altered your strategy?


AI’s Impact on Search.

AI-driven tools provide personalised answers, reducing clicks to websites. Google’s integration of AI into search results creates challenges but also opportunities for content creators.

Q. Are you optimising your content to be picked up by AI apps?


Algorithm Updates Favour Quality.

Google’s 2024 updates penalised even large sites, emphasising high-quality, authentic content over technical optimisation. Good news for SME! Smaller businesses benefited from these changes.

Q. Could you ramp up quality and authenticity to benefit?


AI Content Can Rank.

AI-generated content, if high-quality and user-focused, can perform well in search rankings, as shown by recent studies and data.

So, potentially no penalty for automation.

Future SEO Success.

Winning strategies include creating original content, understanding user intent, adapting to AI-driven changes, and leveraging multimedia formats like video and audio.

Q. Introduce a Text – Voice – Video strategy?

Stay ahead in the evolving SEO landscape, embrace AI tools, focus on quality content, and adapt to shifting user behaviours to thrive in 2025!

Do you struggle to devote enough time to your advertising & marketing. Contact me to discuss how we could resolve that by working together in an affordable way.

TECH: How Jevons Paradox Is About To HIT HARD

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A fascinating thing that happens with technology. Back in Victorian Industrial Darkshire 1865, an economist called William Jevons noticed something interesting about coal use; When we made steam engines more efficient, instead of using less coal, we actually ended up using more of it! With obvious effects, people dropped dead from coal pollution.

Now, we’re seeing exactly the same thing happening with artificial intelligence (AI). At scale.

As we make these AI systems more efficient – and they’re becoming incredibly efficient – we’re not actually using less computing power. We’re using more.

Think about what’s happening here: Every time we make AI better at processing information, instead of scaling back, we just find more useful things to do with it. It’s a bit like giving someone a more efficient rocket – they don’t use less fuel, they just go further into space.

Consequently, it affects everything around it. When we make AI more efficient at handling tasks, companies don’t just maintain their current operations. No, they expand! They ‘Dream bigger!’ They tackle more complex problems and process more and more data faster and faster… another law Moores Law! A cascade of increasing complexity and capability.

You see, that’s what makes this paradox so incredible, it shows us that efficiency doesn’t lead to reduction. It leads to expansion. And in a way, isn’t that the story of life itself? As systems become more efficient, they don’t become simpler – they become more complex, more interesting, more wonderful.​​​​​​​​​​​​​​​​

I’ll tackle the dark side of the adverse effect of higher energy consumption from AI and Crypto products next time. It’s even more topical the week the US President cancelled low carbon projects, instructed oil companies to ‘Drill, drill, drill’, and cranked up AI investment while promoting environmentally destructive high energy use Cryptocurrency.

Jevons Paradox has not been so relevant since coal powered factories consumed the population of the North of England.

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Futurist, innovator and technology vulture. An avid reader and thinker, I love to join the dots. Always seeking the next big recombination idea!

DIGITAL MARKETING: 2025 Developments You Cannot Ignore. Pt.1

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The first of a five part post on the key developments in digital marketing that businesses should be aware of in 2025.

Part 1. AI Integration in Marketing.

In 2025, AI integration stands as a transformative force in digital marketing, shifting from a luxury to a fundamental necessity for competitive advantage. By leveraging advanced AI technologies, businesses can now orchestrate hyper-personalised customer experiences across all touch-points while simultaneously reducing operational overhead. The technology excels at processing vast amounts of customer data to predict behaviours, automate content creation and optimisation, and deliver real-time personalisation at scale. For example, AI powered tools can analyse customer interactions across multiple channels, automatically adjust campaign parameters for optimal performance, and generate tailored content that resonates with specific audience segments. This intelligent automation allows marketing teams to focus on strategic initiatives while AI handles the heavy lifting of data analysis, routine content creation, and campaign optimisation. The key to success lies in striking the right balance between AI automation and human creativity using AI to enhance rather than replace human insight, ultimately driving more efficient, data-driven marketing decisions that deliver measurable business outcomes.

Advanced AI-powered content creation and optimisation.
– AI can now analyse vast amounts of historical content performance data to identify patterns in what resonates with specific audiences.
– Tools can generate initial drafts of marketing copy, blog posts, and social media content while maintaining brand voice.
– Automated A/B testing helps optimise headlines, email subject lines, and ad copy in real-time.
– Dynamic content optimisation adjusts website and landing page content based on visitor behaviour and preferences.
– AI can analyse competitor content and identify gaps in your content strategy.

More sophisticated predictive analytics for customer behaviour.
– Machine learning models can identify customers most likely to churn and recommend retention strategies.
– AI analyses purchase patterns to predict future buying behaviour and optimal times for engagement.
– Behavioural scoring models help prioritise leads based on likelihood to convert.
– Advanced segmentation identifies micro-segments for more targeted marketing.
– Predictive lifetime value calculations help optimise customer acquisition costs.

Automated personalisation at scale.
– Dynamic pricing adjusts based on individual customer behaviour and market conditions.
– Product recommendations evolve in real-time based on browsing and purchase history.
– Email content and send times are optimised for each recipient.
– Website experiences adapt to individual user preferences and behaviour patterns.
– Personalised retargeting campaigns based on specific user interactions.

AI driven chatbots and customer service solutions.
– Natural language processing enables more human-like conversations.
– Chatbots can handle complex queries and seamlessly escalate to human agents when needed.
– 24/7 automated customer support with multilingual capabilities.
– Proactive engagement based on user behaviour triggers.
– Integration with CRM systems for personalised responses based on customer history.

One key aspect worth noting is that while AI tools are becoming more sophisticated, they work best when combined with human oversight and strategic direction. The goal is to augment human capabilities rather than replace them entirely.

If you are interested in any particular application or to discuss how these AI solutions might specifically benefit your business please contact me.

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COMMENTARY: Your Job Is Safe, For Now.

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Today’s announcement from the Prime Minister that the U.K. Government will be investing heavily in AI tools to improve the productivity, efficiency and better use of taxpayers money got me thinking about what will be the result of this. On the face of it this sounds like a really positive step, but the heavy use of AI tools by a government to improve efficiency and outcomes in its departments could have significant effects. The government has targeted growth as the driver of fixing the British economy which is currently running at in excess of 100% Debt to Gross Domestic Product (GDP) which was just 70% in 2010. Here’s a pros and cons summary from the articles I’ve been reading today:

  1. Increased productivity and cost savings: AI could automate many tasks, potentially saving millions of labour hours and billions in annual costs. This could allow Civil Service and government workers to focus on more important tasks and provide services to the public faster.
  2. Improved public services: AI could enable personalised, predictive, and preventive services in areas like education, transport planning, and firefighting (topical with Los Angeles fires & Grenfell relevant), leading to better outcomes and higher productivity for citizens and private companies.
  3. Enhanced decision making: AI could improve governmental decision making and public service delivery by incorporating intelligent data analysis into organisational strategies.
  4. Economic benefits: Research suggests AI could boost productivity by up to 1.5 percentage points per year, potentially worth an average of £47 billion to the UK economy annually over a decade. The U.K. has poor productivity compared to other countries so these improvements are vital to our growth objectives and to significantly improve within the election cycle.
  5. Challenges in implementation and inertia: There’s a need to develop AI expertise among government workers and address potential negative mindset from users. Effective policies and regulatory frameworks are crucial to ensure responsible AI deployment and mitigate risks.
  6. Potential for job losses: While AI could create efficiencies, it may also lead to job losses in the civil service, requiring careful management and alternative career initiatives.
  7. Government responsibility: Secretaries of State are responsible for policy and outcomes good and bad. Decisions made by AI must be justified on a social and finance level.

My verdict.

Obviously in toto the idea is a no-brainer, but while AI presents significant opportunities for improving government efficiency and service delivery, it also introduces many complicated challenges that require careful consideration and management. The human face of the Civil Service is here for a while at least.
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Steve Coulter is a content creator and copywriter specialising in effective SME website content and conversion – with a lifetime interest in politics and economics.