Training vs Retrieval: How AI Actually Finds and Uses Your Content
Understand how AI models 'remember' information through training and 'look it up' through retrieval, and what that means for GEO and AEO.
Understand how AI models 'remember' information through training and 'look it up' through retrieval, and what that means for GEO and AEO.
Learn why falling clicks don't always mean falling impact, and how to measure brand visibility, trust and ROI in an AI-driven, zero-click world.
How generative AI is changing search visibility, and how to adapt SEO into GEO and AEO so your brand stays present in AI-generated answers.
AI has fractured into a family of models, from language to vision to action. The winners of 2025 won't be those chasing size, but those mastering composition over scale.
HMRC's Connect 2.0 analyses everything from bank data to Instagram posts. But AI tax surveillance isn't just about catching evaders, it's redefining compliance. In the digital economy, your footprint is your tax record.
Autonomous agents are accelerating automation, and accumulating risk. Agent debt is the new technical debt, combining design shortcuts, governance gaps, and behavioural drift. The cost? Agility, trust, and control, unless leaders act now.
As AI engines replace search results with direct answers, the click is vanishing, but influence is not. Brands that optimise for citations and credibility within generative systems will own the next era of attention, where visibility no longer depends on visits but on trust inside the model.
The era of AI discovery is here. As generative engines replace search, Generative Engine Optimisation (GEO) becomes the new frontier of visibility. Early adopters who structure, verify, and distribute their knowledge across AI ecosystems will shape how, and whether, their brands are remembered in the age beyond clicks.
The shelf is becoming a sensor. From Walmart's IoT rollouts to Morrisons' nationwide deployment, electronic shelf labels are reshaping retail into a connected, data-rich ecosystem. What began as price automation is turning into a new kind of intelligence, one that makes stores smarter, staff freer, and shoppers more trusting of the prices they see.
The humble shelf label is becoming retail's next interface. With NFC, LEDs, and QR codes, electronic shelf labels are merging loyalty, checkout, and personalisation into a single touchpoint, transforming the shelf edge from a static display into a dynamic customer experience platform.
Nvidia's record valuation rests on scarcity economics, but the world's biggest clouds are building their own chips. As AWS, Google, and Microsoft move to self-sufficiency, the GPU monopoly begins to dissolve. The next phase of AI won't be powered by one company's silicon, and Nvidia's gravity-defying run may soon meet the laws of physics.
Amazon's Project Rainier signals a turning point in cloud infrastructure, from renting GPUs to owning the full AI stack. With Trainium 2 scaling past a million chips and energy investments reaching nuclear proportions, AWS is building not just a faster cloud, but a self-sufficient one. The race for AI dominance is no longer about who uses the best chips; it's about who makes them.
Amazon's next act isn't about AI, it's about automation. With plans to automate 75% of operations and replace 600,000 future hires, Amazon's Machine Economy strategy signals a global shift towards robotic workforces, one that could redefine labour, logistics, and leadership in the decade ahead.
The next era of retail media won't be won by scale, but by intelligence. First-party data is replacing third-party identity as the foundation of performance, transforming RMNs from ad channels into powerful, trusted intelligence platforms.
As AI agents evolve from tools to decision-makers, safety can't be an afterthought. The organisations that win the agentic era will build trust into every layer, designing AI systems that act not just intelligently, but intentionally.
Google's market share has dipped below 90% for the first time in a decade, and AI-powered search tools like ChatGPT and Perplexity are redefining how people find and trust information. The future of search isn't a page of links, it's a conversation.
The AI boom has made 2025 a record-breaking year for markets, but business impact remains elusive. As hype outpaces results, leaders must shift from speculation to substance: using AI to deliver measurable value, not just momentum.
Generative AI has blurred the boundaries of creative ownership. Blockchain can bring them back into focus, offering agencies proof, protection, and permanence in a world where everything moves at machine speed.
The browser wars are back, and this time, they're powered by AI. From Edge to Comet to OpenAI's Atlas, a new generation of intelligent browsers is redefining how we search, learn, and act online. The next frontier isn't speed or design, it's understanding.
The next wave of digital transformation isn't about making businesses more digital; it's about making them more intelligent. The future belongs to enterprises that can sense, learn, and adapt in real time, powered by AI, but guided by human purpose.
AI isn't just predicting what we'll buy, it's deciding what we'll pay. As personalisation evolves into invisible pricing, trust becomes the new competitive advantage.
Most AI projects fail not because the tech is broken, but because the business treats it like software. Success in the AI era isn't about building code. It's about teaching your organisation to learn.
Three emerging standards, Anthropic's MCP, Google's A2A, and IBM's ACP, are quietly defining the new internet for AI agents. This is the next layer of digital transformation: not connecting systems, but connecting intelligences.
Anduril's new AI-powered combat helmet, EagleEye, gives soldiers 360° vision and real-time tactical insight, a glimpse into the future of human–machine perception. The same principles will soon transform how businesses, doctors, and engineers see their worlds.