Running a small business is no small feat. Between managing day-to-day operations, keeping customers happy, and staying ahead of the competition, it’s easy to feel overwhelmed. What if you could tap into the power of AI to make smarter decisions—without needing a tech degree or breaking the bank? That’s where deep reasoning models come in. Think of them as AI tools that work like expert analysts, helping you uncover insights and solve problems faster. Where to Find These Tools Recent launches such as Deepseek R1 (available for free) and ChatGPT-4 have sparked considerable excitement. These innovative tools are designed to give you a head start. Whether you’re a B2C or B2B business, early adoption means reclaiming valuable time, gaining a competitive edge, and unearthing insights that would otherwise require expensive consultants. Simply search for these tools online - they are readily available. Did You Know? Early adopters of AI tools report saving up to 10 hours a week on data analysis and decision-making. Businesses using deep reasoning models have seen a 15-20% increase in operational efficiency within the first three months. What Are Deep Reasoning Models? (And Why Should You Care?) Deep reasoning models are AI systems that analyse multifaceted data, spot patterns, and provide actionable insights. Unlike basic chatbots that offer simple answers, these tools “think” more deeply by processing several variables at once. For example: For B2C Businesses: They can analyse detailed sales performance, decode customer feedback alongside operational data, and craft targeted content strategies. For B2B Businesses: They can identify nuanced buying trends, assess client value using multi-dimensional project data, and develop remarketing strategies that consider project duration, cost of service, and profit margins. Pro Tip: Even if you’re new to AI, these user-friendly tools require no technical expertise to start benefiting from them. AI For Small Businesses - Try These Quick Wins Today For B2C Businesses Analyse Sales Performance with Multi-Dimensional DataPrompt: “Here is a detailed summary of my sales performance for the last three months. Please analyse the data for trends in revenue, cost of materials, labour hours, and profit margins, and recommend actionable improvements.” Example Input: January: Revenue: £10,000; Cost of Materials: £3,000; Labour Hours: 100; Profit Margin: 30% February: Revenue: £12,000; Cost of Materials: £3,600; Labour Hours: 110; Profit Margin: 32% March: Revenue: £15,000; Cost of Materials: £4,500; Labour Hours: 120; Profit Margin: 33% Why It Works: The AI compares multiple metrics to spot trends—such as an improving profit margin despite rising labour hours—and suggests operational adjustments. This analysis goes far beyond a simple revenue summary. Enhance Customer Experience with Detailed Operational FeedbackPrompt: “I have collected both qualitative customer feedback and operational metrics. Please analyse this data to identify recurring issues and recommend strategies to improve customer satisfaction.” Example Input: Customer feedback: “Product quality is excellent, but the average delivery time is 5 days (target: 3 days).” Operational metrics: Average Order Processing Time: 2 days; Average Delivery Time: 5 days; Shipping Cost per Order: £5; Monthly Order Volume: 200 Why It Works: By combining customer comments with performance metrics, the AI pinpoints where service improvements are needed—such as streamlining logistics—to enhance customer satisfaction. Create Targeted Content from In-Depth Customer SegmentationPrompt: “Based on our detailed customer segmentation data—including demographics, purchase behaviour, and engagement rates—suggest tailored content ideas for each segment.”Example Input: Segment A: Women aged 25-40, average purchase value: £50, high engagement with eco-friendly content. Segment B: Men aged 30-50, average purchase value: £65, responsive to technology-focused messaging. Why It Works: The AI interprets differences between segments and proposes content strategies that address specific interests and spending behaviours. For B2B Businesses Assess Client Value Using Detailed Project MetricsPrompt: “Here is a breakdown of our key client metrics, including annual revenue, project duration, cost of service, and profit margins. Analyse these figures to rank our clients by overall profitability and suggest strategies to enhance client relationships.” Example Input: Client X: Annual Revenue: £50,000; Project Duration: 6 months; Cost of Service: £30,000; Profit Margin: 40% Client Y: Annual Revenue: £30,000; Project Duration: 3 months; Cost of Service: £20,000; Profit Margin: 33% Client Z: Annual Revenue: £10,000; Project Duration: 2 months; Cost of Service: £8,000; Profit Margin: 20% Why It Works: The AI evaluates the multi-dimensional data to determine which clients are most profitable and offers tailored recommendations for nurturing those relationships. Improve Remarketing Efforts with Detailed Client HistoryPrompt: “Analyse this detailed client history, including project completion dates, revenue, profit margins, and typical project duration, and recommend a remarketing strategy to re-engage past clients who have not commissioned new work in over 6 months.” Example Input: Client A: Last Project Completed: 8 months ago; Revenue: £20,000; Project Duration: 4 months; Profit Margin: 35% Client B: Last Project Completed: 10 months ago; Revenue: £15,000; Project Duration: 3 months; Profit Margin: 30% Why It Works: The AI identifies inactive clients and suggests targeted remarketing strategies—such as personalised emails highlighting service improvements or exclusive offers—to re-engage them effectively. How It Works (In Simple Steps) Gather Your Data: Decide what insights you’re looking to uncover—whether it’s understanding customer trends, improving operational efficiency, or evaluating client value. Compile a detailed, structured summary of the relevant performance metrics. Ask the Right Questions: Formulate clear, specific prompts that request multi-dimensional analysis. Get Instant, Detailed Insights: The AI processes your input and provides actionable recommendations based on the interplay of multiple data points. Take Action: Use these insights to adjust pricing strategies, refine operational processes, or tailor marketing messages. Privacy Reassurance: Don’t worry—these tools typically don’t store your data; your insights remain confidential. The Cost-Effective Advantage Instead of spending thousands on consultants or data analysts (a consultant might cost around £2,000 per month), these tools offer expert-level insights at a fraction of the cost - many starting at as little as £20 per month, or even free (as with Deepseek R1). By reclaiming hours of manual analysis, you can focus on growing your business and staying ahead of the competition. Real-Life Example: A small e-commerce business used deep reasoning models to analyse customer feedback and operational data. Within weeks, they reduced delivery times by 20% and increased customer satisfaction scores by 15%. The Advantage of Early Adoption These deep reasoning models are brand new and already making waves. Early adopters will save time and gain a significant competitive edge by responding quickly to market changes and customer feedback. Did You Know? Businesses that adopt AI early are 2.5x more likely to report significant revenue growth compared to their peers. Conclusion: Start Small, Think Big You don’t need to be a tech expert to harness the power of AI. Start with one detailed prompt today and see how 10 minutes with a deep reasoning model can boost tomorrow’s profits . The future of your business is in your hands—and with these tools, it’s brighter than ever. Call-to-Action Ready to get started? Click in the social links below to sign up to our business pages (either on LinkedIn or Facebook) and watch out for our upcoming mini-series—featuring in-depth guides, screenshots, and customisable prompt templates. These will be available as valuable FREE content, so even more savings! P.S. Join our community of early adopters and be the first to access exclusive tips, case studies, and success stories. Let’s grow smarter, together. We will be offering a more in-depth learning opportunity to fully embrace Deep Reasoning tools and how to create really useful tools for your business with our online courses - coming soon to a small screen near you! AI & Deep Reasoning & Marketing Strategy Glossary AI (Artificial Intelligence): Machines simulating human thinking for tasks like data analysis. B2B (Business-to-Business): Selling products or services to other businesses. B2C (Business-to-Consumer): Selling products or services directly to consumers. Customer Segmentation: Dividing customers into groups by traits and behaviour. Deep Reasoning Models: AI systems that analyse data to find patterns and insights. Freemium: Free services with extra paid features available. GDPR (General Data Protection Regulation): EU rules protecting personal data privacy and security. Profit Margin: The percentage of revenue remaining after costs. Remarketing: Targeting past customers to re-engage them. ROI (Return on Investment): Measures profit from an investment versus its cost. FAQs Q1: What is AI, and how can it help small businesses? AI automates tasks, analyses data, and improves decisions. Q2: Do I need technical expertise to use AI tools? No, most AI tools are simple and user-friendly. Q3: What are deep reasoning models? AI systems that analyse complex data for insights. Q4: What are some affordable AI tools for small businesses? Deepseek R1 (free) and ChatGPT o3 offer low-cost insights. Q5: How much do AI tools cost? From £20 per month; some, like Deepseek R1, are free. Q6: Are there free trials available for AI tools? Yes, many tools offer free trials or freemium versions. Q7: Is my data safe when using AI tools? Most AI tools follow GDPR and don't store your data. Q8: What kind of data do I need for AI tools? Sales, customer feedback, and other structured data. Q9: How do I get started with AI tools? Define goals, collect data, and write clear prompts. Q10: Can AI tools help with customer segmentation? Yes, AI groups customers by behaviour, demographics, and more. Q11: How can AI tools improve remarketing efforts? AI finds patterns to target customers more effectively. Q12: What is the ROI of using AI tools for small businesses? AI can save costs, boost efficiency, and increase profits. Q13: Why should I adopt AI tools early? Early adopters gain an advantage in competitive markets. Footnotes Today's blog was prompted by the recent launch of the deep learning models noted in the article. They have proved to be really useful and we wanted to showcase just want they could do for a small business. We used Deepseek R1 to develop the insights and the key tools we would explore - that was after a test run. Images courtesy of Leonardo. We created prompts based on the article.

Back in 1982, Blade Runner introduced us to a world where artificial beings called “replicants” blended almost seamlessly into human society. Fast forward to 2024, and while we don’t have replicants (yet), we do have AI avatars taking your pizza orders, answering customer queries, and even helping close sales deals. So, the big question is: have we unintentionally stepped into our own sci-fi film? And if so… who’s writing the script? From Dystopia to Drive-Thrus: Where are the AI Avatars in Customer Service Popping Up? AI avatars have gone from fiction to function, and instead of existential crises, they’re mostly handling customer service with a smile (well, a digital one). Here are some avatars already clocking in for their shifts: • Jimmy the Surfer at Pizza My Heart Imagine ordering your pizza from a laid-back AI chatbot with surfer vibes. That’s Jimmy— handling orders like a pro , never messing up your toppings, and probably saying “gnarly” without irony. • Kacy at KFC (Sydney) No more squinting at scratchy intercoms trying to shout your order over the hum of your engine. Kacy’s an AI drive-thru assistant designed to take your order with zero fuss, rain or shine. • Fin at Intercom Unlike your typical customer service bot that gets flustered if you don’t phrase your question just right, Fin handles millions of queries with the patience of a saint. No “please hold,” no bad moods— just straight answers . • Vidyard’s Sales Avatars Salespeople, rejoice! Vidyard’s avatars are like having a clone that can send personalised videos to clients all day without needing coffee, lunch, or—let’s be honest—that little pep talk before making a cold call. So, What’s the Public Making of This? Great question. Are people loving it? Hating it? Planning to overthrow the bots? Well, reactions are… mixed. The Enthusiasts: Fewer Mistakes: Let’s face it, AI doesn’t mishear “latte” as “frappé” or forget to add your extra pickles. Speedy Service: No small talk (unless you want it), no “just a sec, let me check,” and definitely no being put on hold. Always On: AI doesn’t sleep, doesn’t call in sick, and won’t give you the Monday morning grumps. The Sceptics: Some people miss the human touch. There’s comfort in a real voice saying, “No problem, I’ve got that sorted for you.” Uncanny Valley Vibes: When avatars look too real but not quite real enough, it’s like having a chat with a wax figure that blinks. Slightly unsettling, to say the least. Why Avatars Over Well-Honed Chatbots? Ah yes, the chatbot . We all know them—those eager little pop-ups on websites with the “Hi there! How can I help?” vibe. But let’s be honest, they can be hit or miss. Here’s where avatars shine: Face-to-Face (Sort of) : Seeing an avatar feels more engaging than staring at a sterile text box. It’s like having a digital assistant who’s actually there. Emotional Intelligence (Kind Of): Some avatars can mimic facial expressions and tones, making conversations feel more natural. No monotone “I’m sorry, I didn’t understand that” here. Multitasking Superpowers: Sales? Customer support? Booking your next haircut? Avatars can do it all—without mixing up appointments or forgetting names. Are These Avatars Visible or Just Voices? Both! Some avatars are voice-only, like the sophisticated cousins of Siri or Alexa. Others are fully visible, animated with facial expressions, gestures, and even virtual wardrobes (because yes, apparently digital fashion is a thing). Think less HAL 9000 and more “Hi, I’m Ava, your digital assistant!” —friendly, responsive, and not trying to lock you out of your spaceship. In Light of All These Advantages… Why Not Avatars? If avatars are faster, more accurate, and never grumpy—why hasn’t every business gone full sci-fi? Well, here’s the plot twist: Trust Issues: Some people just trust humans more, especially when it comes to complex issues or emotional situations. (No one wants to cry about their lost luggage to an AI). The “Too Robotic” Factor: No matter how advanced, AI can sometimes feel… robotic. Because, well, it is. Tech Hiccups: Let’s not forget the occasional glitch. Nothing kills the illusion faster than an avatar stuck mid-sentence with a frozen smile. Final Scene: Sci-Fi Dreams, Real-World Reality While Blade Runner made us wonder what it means to be human, today’s AI avatars are making us wonder if we even need humans to handle our online orders anymore. But here’s the thing— it’s not about replacing people. It’s about enhancing the experience . Whether that’s faster service, fewer mistakes, or simply having someone (or something) always ready to help. So next time you’re chatting with “Jimmy the Surfer” about your pizza toppings, just remember: we’re living in the future. And for once, it’s not a dystopian one. (Unless your AI accidentally adds pineapple to your pizza. Then it’s definitely dystopian.) Source References 1. Pizza My Heart’s AI Chatbot “Jimmy the Surfer” Wired -   “Palona’s AI Chatbot Is Selling Pizza Better Than Humans” 2. Intercom’s AI Agent “Fin” The Times -   “Intercom’s Supremos Are Right in the Eye of the AI Storm” 3. D-ID’s Conversational AI Avatars TIME -   “Meet the Avatars Taking Over Customer Service” 4. Otter.ai ’s AI Meeting Participants Financial Times -   “ Otter.ai to Launch AI Avatars for Business Meetings” 5. AI Customer Service Avatars in Corporate Use The Wall Street Journal -   “Regulators May Not Like Deepfakes, But Businesses Are Using Them Anyway” 6. Vidyard’s AI Avatars for Sales Business Wire -   “Vidyard AI Avatar Innovations Accelerate Sales Teams’ Personalised Video Delivery at Scale” 7. Kacy’s AI Drive-Thru System (Sydney) News.com.au -   “KFC Is Trialling Controversial New Drive-Through Feature in Sydney” Glossary AI Avatar  – A digital representation powered by artificial intelligence that interacts with users, either through text, voice, or visual animation. Chatbot  – A software application that simulates human conversation, usually via text-based interfaces on websites and apps. Uncanny Valley  – A psychological effect where highly realistic humanoid robots or avatars feel unsettling because they are close to human but not quite right. Emotional Intelligence (in AI)  – The ability of AI to mimic human emotions and tone to make interactions feel more natural. Drive-Thru AI Assistant  – An AI-powered voice assistant used in fast food drive-thrus to take orders more efficiently. Digital Fashion  – Clothing and accessories designed for virtual avatars, often used in gaming, social media, and AI applications. Tech Hiccups  – Small glitches or errors in AI interactions, such as avatars freezing mid-sentence or misinterpreting requests. FAQs Q: What are AI avatars? A: AI avatars are digital assistants that can handle customer service, sales, and various other tasks using artificial intelligence. They can be voice-only or fully animated with facial expressions. Q: Where are AI avatars currently being used? A: AI avatars are already working in drive-thrus, customer support, and sales. Examples include: Jimmy the Surfer at Pizza My Heart, taking pizza orders with a laid-back style. Kacy at KFC in Sydney, managing drive-thru orders smoothly. Fin at Intercom, handling customer queries efficiently. Vidyard’s sales avatars, sending personalised sales videos. Q: How do AI avatars differ from traditional chatbots? A: Unlike basic text-based chatbots, AI avatars can use facial expressions, tone variations, and even gestures to make interactions feel more engaging and natural. Q: Do AI avatars replace human customer service staff? A: Not entirely. While they can handle routine queries, some people still prefer human interactions for complex or emotional situations. Q: Why do some people feel uncomfortable with AI avatars? A: Some people find avatars that look too realistic yet not quite human unsettling—a phenomenon called the Uncanny Valley. Others simply prefer talking to real people. Q: Are AI avatars always visible, or can they be voice-only? A: Both! Some avatars are just voices (like Alexa or Siri), while others have animated faces with gestures and expressions. Q: What are the main advantages of AI avatars in customer service? A: Fewer mistakes in order-taking. Faster response times. 24/7 availability—no sick days or bad moods. More engaging than traditional chatbots. Q: What are the limitations of AI avatars? A: Some users find them too robotic. They can struggle with emotional or complex customer queries. Occasional technical glitches can break the illusion. Q: Will AI avatars completely replace human workers? A: Not likely. AI avatars are designed to enhance customer experiences, not eliminate human roles. Businesses still rely on human judgement, problem-solving, and empathy. How did we do it? The inspiration for this blog actually came about because we spent a lot of the week making a human avatar. It sort of sparked a "oooh, I wonder if these are mainstream yet?" We did some in-depth research across the web using ChatGPTs live search and unearthed the key avatars used in this blog. We then incorporated this information into an article - in particular interested in why they are a good idea, also what people's responses have been. The raw article was passed through ZeroGPT to check on how 'human' it was. We manually amended to produce the final article. Dall-E also created a series of images used based on a 'Blade Runner' futuristic, colourful theme from our prompt. The final aspect was to re-run through ChatGPT to extract the FAQs and Glossary terms used in here. Actually on this occasion we didn't stray from ChatGPT 4o.

Welcome to the New Age of Search Imagine a world where our superhero is pitted against their latest contender - a sleek android! This virtual scene helps depict the real emerging battle between traditional Google search and the new wave of AI-driven tools. For as long as we can remember, Google has been the internet superhero, giving us ‘search’ as we know it and conveniently helping us find answers to almost everything. Now, well now we have the advent of AI-search power. Systems like ChatGPT’s real-time browsing, Siri, and Alexa are just a few of the tools challenging and changing the search game. So, is Google still the hero, or is AI search the future champion?  We first need to understand how these two forces coexist in this new world to find that answer. And, more importantly, how businesses can adapt to harness the best of both worlds. So, let’s take a quick look at their form (to keep the fighting analogy going) and the evolving search strategies designed for AI-first systems - Answer Engine Optimisation (AEO).  Google vs. AI Search—Who’s First Out of the Corner? How are Google search tools different from AI-driven tools like ChatGPT? For years the Google algorithm dominated search; indexing web pages, ranking by relevance, and delivering search results in milliseconds. The system relies on Search Engine Optimisation (SEO), giving priority to keywords, backlinks, user behavior (and paid advertising) to achieve that coveted top slot on page one of the search. Here is a search example for "best coffee shops in London." Google search brings back a ‘ranked’ list of links, often influenced by paid advertising and businesses with well-established SEO practices (as it happens this is often the larger companies with the bigger budgets). With Google you will get a long list of options, some of which may not be what you are actually searching for. You may need to dig a bit deeper to find a suitable answer. By contrast, using AI search tools such as ChatGPT’s live browsing feature provides a relevant, conversational-tone answer such as: "The top-rated coffee shops in London include Grind and Monmouth Coffee. Grind is known for its artisan brews, while Monmouth is celebrated for its fresh roasts. Here’s how to find them." For the same search query. You can see the different approach straight away! Where does AEO fit into this rivalry? AEO takes the principles of SEO and evolves them to fit AI systems. Instead of optimising solely for rankings, AEO focuses on crafting content that answers real questions directly, using conversational language and dynamic formats. Think of it as ensuring your business’s voice is part of the conversation, not just another link on a page. Why AEO is the New Superpower for Small Businesses What gives AEO an edge for small businesses? Level Playing Field:  Unlike traditional SEO, AEO doesn’t rely on extensive budgets or complex backlink strategies. Instead, it rewards quality and relevance, making it accessible to smaller businesses. Example:  A local bakery doesn’t need to outbid Starbucks for top rankings. By crafting conversational content like " What’s the best bakery for sourdough bread in Brighton?"  the bakery can rank highly in AI search results. Early Adoption Advantage:  AI-driven search is still in its infancy. Businesses that adopt AEO strategies now can establish themselves before the competition catches up. How does AEO leverage geographic (GEO) search to connect you locally? AI tools excel at GEO search, which tailors results based on a user’s location. A good example of this is to search for “best pizza near me,” AI-driven search will give priority to businesses that have added location-specific keywords like “Brighton” or “Camden” in their content and this might well be a small local business.  Example:  A Camden-based pizzeria can boost visibility by using phrases like "authentic Italian pizza in Camden"   and also keeping their Google Business Profile updated really helps to improve visiblity. Customers hate outdated info! Can AEO help reduce reliance on paid ads? Yes! With AI search giving priority to direct and organic answers, businesses could reduce their dependence on costly pay-per-click  (PPC) campaigns. Instead, investing in well-crafted AEO content can drive visibility without breaking the bank. Example:  A florist who previously spent hundreds on PPC for "flower delivery near me" can now rank organically by optimising FAQs and including phrases like "Same-day flower delivery in Birmingham." What about voice search? This is another AI-driven advancement that works with AEO. Devices like Alexa, Siri, and Google Assistant draw upon natural language to deliver instant answers. Example:  A question like "Where can I get a vegan lunch near me?"   can return your business if you’ve optimised for conversational phrases and GEO-specific keywords. Incorporating voice-search-friendly content ensures your business is part of this rapidly growing search method. Mastering AEO—Your Practical Playbook How can I create AEO-friendly content? Write conversationally, as if answering a customer’s direct question. Think natural and approachable, like explaining something to a friend. Example:  Instead of " Our bakery offers premium artisanal bread,"   try "Looking for fresh sourdough bread? We bake it daily in Brighton." Why are GEO keywords essential? Include phrases like "near me" or your business’s location ( "Brighton coffee shop" ) to improve visibility in local searches. These little touches make a big difference when AI tools prioritise local relevance. Example:  A gym in Manchester can rank for searches like "gyms with personal trainers near me"   by weaving those phrases naturally into its website. What role does schema play in AEO? Schema markup helps search engines understand your content structure. For example, marking up FAQs ensures AI can extract direct answers. It’s like handing a neatly labeled folder to the search engine (we will be offering a down-to-earth course on this very subject to help demystify what, for many, is a scary topic). Example:  A hotel in Edinburgh can use schema markup to highlight FAQs like "Do you offer free parking?" How can visuals and videos help with AEO? Multimedia content increases engagement and makes it easier for AI systems to deliver rich, informative results. Videos explaining your services or infographics showing how AEO works can captivate users and improve visibility. Example:  A plumber creates a video titled "How to spot a leaking pipe,"   which gains traction in AI-powered results for "DIY plumbing tips." AEO in Action—Is Your Business Ready? Here’s a quick checklist to get started: Conversational FAQs:  Are you answering customer questions directly? Example:  Add FAQs like "What are your opening hours?" or "Do you deliver?" Local Keywords:  Does your content include GEO-specific phrases? Google Business Profile:  Is your profile updated with accurate details? Example:  Ensure photos, business hours, and reviews are current. Schema Markup:  Have you added schema to structure your content? (If you are not confident in this then watch out for our very straightforward course on it coming soon). Engaging Formats:  Are you using videos, infographics, or other dynamic content? Voice Search Compatibility:  Does your content use natural, question-driven language to align with how people speak their queries? The Future of Search—Be the Hero of Your Own Story So, for now, in the battle between Google and AI search, small businesses don’t have to pick a side. By adopting AEO strategies now, you can position yourself as the hero of your own story - ensuring the best chance to have your answers found and especially to keep your valuable customers engaged. Want to get started?  Stay tuned for upcoming resources that dive deeper into topics like schema markup, GEO optimisation, voice search, and creating compelling FAQs. Join the AEO revolution today! Glossary of Terms Answer Engine Optimisation (AEO): The strategy of creating direct, conversational and structured answers to user queries driven by AI search engines such as ChatGPT’s real-time browser and voice- activated search like “Siri”. Search Engine Optimisation (SEO): The strategy of improving website visibility (by ranking)  in traditional search engines like Google using keywords, backlinks, and other ranking factors (such as paid search). Geographic (GEO) Search: Search results tailored to the user’s location, improving visibility for businesses targeting local customers. Schema Markup: Back-end code added to a website, helping search engines understand and display page/section content, such as FAQs or location-specific info. Pay-Per-Click (PPC): This is a paid advertising model. Called pay-per-click as businesses pay a fee only when their ad is clicked. This is often used in search engine marketing. Voice Search: Search queries spoken aloud into devices like smartphones or smart speakers, relying on natural language processing for results. Mini-FAQ: Common Questions About AEO Q: What is real-time AI search? A: Real-time AI search means that AI tools, like ChatGPT, browse the internet live to pull in the latest, most relevant answers on demand, instead of using a fixed index of web pages. Q: How does AEO differ from traditional SEO? A: AEO focuses on creating conversational, question-driven content that answers user queries directly, while SEO is about optimising for rankings within traditional search engines. Q: How can small businesses benefit from GEO search? A: GEO search picks up location signals to deliver local results, meaning small businesses can attract nearby customers more easily. Q: What are local keywords, and why are they important? A: Local keywords are phrases that include your location, like "best café in Birmingham." They help AI and traditional search engines recognise your relevance to local customers. Q: Why is schema markup important for AEO? A: Schema markup provides structure to your content, making it easier for AI systems to extract and display relevant information like FAQs or product details. Q: How does voice search impact AEO? A: Voice search aligns closely with AEO principles by favouring conversational, question-based content. Ensuring your content matches natural speech patterns improves your visibility in voice search results. How did we do that? This blog was actually drafted immediately after the launch of ChatGPT’s real-time search feature. Been sitting on it waiting for the right moment. Really liked the whole ‘hero’ theme as an approach. Copy was initially drafted with a strong prompt in ChatGPT 4o . Ran through Claude 3.5  to look at a potential revamp (we like to see which produces the better draft).  ZeroGPT  then provided some helpful guidance to reduce the ‘ai’ factor. We edited manually to produce the final version. Images were generated from a combination of Krea (Flux)  and  Leonardo ai . Very difficult to retain complete consistency with characters but we are working on this! As always, happy to receive comments below.

Welcome to the first instalment of our series, When Sci-Fi Becomes Real—a modern-day nod to Tomorrow’s World where we explore futuristic concepts that are fast becoming part of our daily lives. Today, we’re diving into AI-powered robotic pets, and one big question: could robotic guide dogs become a reality? Imagine a self-driving car, but in dog form—leading the way, keeping the blind safe, and never distracted by a passing squirrel. Could this be the future of pets? AI Guide Dogs 2.0: Could Robots Fill the Role? So I had this rather unusual idea pop into my head (and haven't found any projects that look like this - could this be a fresh take?). Guide dogs provide life-changing support to blind and visually impaired individuals, but they require years of specialised training and ongoing care. Enter the concept of a robotic guide dog: always obedient, never tired, and programmed to handle the complexities of a busy world. Thanks to innovations like MIT’s research into AI-generated sounds and Boston Dynamics’ advanced robotics, this sci-fi idea may be closer than you think. Picture a robotic dog equipped with: • LIDAR sensors (like those in self-driving cars) to scan and map its environment. • Obstacle detection to expertly manoeuvre around hazards. • Voice-command recognition , responding to “take me home” or “find the crossing.” • Companion-like design , making it not only functional but emotionally engaging. Such a device could guide its owner seamlessly through crowded cities, uneven terrain, or even unfamiliar environments. And the best part? No need to pick up after it (warming to THAT idea)! Extra points if you can come up with a name for this new invention in the comments! Pop Culture Meets Robotics: A Mac and Cheese Moment For fans of Friends (and yes, that was me!), you might remember Joey starring in a hilariously bad TV show, Mac and C.H.E.E.S.E., featuring a crime-solving robot. While today’s robotic dogs aren’t solving crimes (yet), the idea of a loyal, functional robot companion isn’t so far-fetched. From chasing bad guys to guiding the blind, maybe Mac and C.H.E.E.S.E. was just a decade or two ahead of its time. And could robotic pets one day have their own version of Crufts? Imagine it: sleek, metallic dogs competing in events like “Best Obstacle Navigation,” “Most Lifelike Bark,” or “Best LED Glow.” Forget the grooming brushes—these pups would win on style, tech upgrades, and functionality. It’s not hard to picture a future where robot owners proudly parade their high-tech companions at Robot Crufts, complete with categories for speed, precision, and quirkiest design (sorry chaps, that one on the left in the right picture is a bit creepy I know). What’s Already Happening? While fully autonomous robotic guide dogs remain a concept, robotic pets are already making an impact in real-life scenarios, particularly for individuals facing mental health challenges, dementia, and loneliness: 1. Tombot: Designed specifically for people with dementia, Tombot robotic dogs offer emotional support and companionship. These lifelike pups respond to touch and sound, creating a soothing presence without the responsibilities of a real pet. They’re especially helpful for those who may not be able to care for live animals but still crave that bond. 2. Joy for All: This brand creates animatronic cats and dogs that purr, bark, and even wag their tails. They’re aimed at reducing loneliness among the elderly and have proven to bring comfort and smiles to countless people. With features like a heartbeat simulator and responsive movements, they’re both functional and endearing. 3. MarsCat by Elephant Robotics: For those who prefer feline companionship, MarsCat is an AI-driven robotic cat that not only looks adorable but also reacts to touch, voice, and its environment. Each MarsCat develops a unique personality over time, adapting to its owner’s behaviour and creating a sense of individuality. And the price tags? Robotic pets range from under £100 for interactive toys to £400+ for advanced models like Loona Petbot—significantly cheaper than a pedigree pup and without the vet bills or muddy paw prints on the carpet! The Emotional Factor: Real Dogs vs. Robots Real guide dogs offer more than mobility—they provide companionship, trust, and emotional support. Could a robot dog ever replicate that deep, personal bond? Or would it serve as a complementary option, perfect for situations where training or maintaining a live animal isn’t practical? Not sure if I could ever replace my much-loved pets but a robot one will never die! As robotic technology improves, these questions will shape not just the future of accessibility but also the way we think about relationships with machines. A Fascinating Footnote The idea for this article was inspired by an MIT research project that explores how AI can generate realistic, lifelike sounds. The project focuses on teaching machines to understand soundscapes and produce audio that’s indistinguishable from reality—a breakthrough that could redefine how we interact with robots. To learn more, check out   MIT’s research . It’s the perfect blend of science fiction and science fact! MIT's Video about the project What’s Next in Sci-Fi Becoming Real? Stay tuned for more in this series as we explore the sci-fi ideas that are turning into everyday realities—from AI chefs and holographic tutors to robotic pets and beyond. Would you trust a robotic guide dog? Or do you think there’s no substitute for a wagging tail and slobbery kisses? Let us know your thoughts! Links to projects mentioned MIT AI-Generated Sounds Research Project Exploring how AI can produce realistic, lifelike sounds, which inspired the idea of robotic pets. MIT News - AI Generates Realistic Sounds Tombot Robotic Dogs Designed for dementia patients, providing emotional support and companionship. Tombot - Robotic Emotional Support Animals Joy for All Companion Pets Lifelike robotic cats and dogs aimed at reducing loneliness among the elderly. Joy for All - Companion Pets MarsCat by Elephant Robotics An autonomous AI-driven robot cat that develops its own personality over time. Elephant Robotics - MarsCat Loona Petbot A highly interactive robot pet designed for playful engagement. Loona Petbot - Keyirobot

You know how sometimes you need to explain where an idea came from? Well, grab a coffee and let me share why I started this AI adventure... Ever had that moment when something just clicks and you think "Where have you been all my life?"? That's me with Generative AI. Not love at first sight mind you - more like that friend you initially found a bit intimidating but now can't imagine life without. My Mum, the Wizard For someone who's spent years in marketing (and possibly too much money on productivity tools), discovering AI felt like finding the Swiss Army knife I didn't know I needed. But here's the thing - it also reminded me of my mum, the unofficial tech wizard of our house. She was the only person I knew who could multi-programme a DVD recorder without breaking into a cold sweat and actually knew what that mysterious "Input" button did on the remote. While I was still trying to figure out how to record my favourite programme, she was programming series links like a boss. That kind of technical wizardry left quite an impression. Headfirst In I jumped into Generative AI the moment it launched - couldn't wait to get started! It felt like rediscovering that childhood wonder of seeing something magical, mixed with a hefty dose of "Why didn't anyone tell me about this sooner?!" Suddenly, here was a tool that could not only save me time but actually make work fun again. Writing copy? AI became my brainstorming buddy. Designing visuals? It was throwing ideas at me faster than I could drink my coffee (and trust me, I drink coffee like it's going out of fashion). But then came the plot twist: AI doesn't do your thinking for you - thank goodness! It's not some magical "make everything perfect" button (sorry, mum, still haven't found that one). You still need to know your stuff, understand your audience, and bring your own expertise to the table. Think of AI as your very eager assistant who's had way too much coffee - lots of energy and ideas, but needs your guidance to channel them properly. Word on the Street When I started chatting to businesses about AI, I spotted two types of people faster than my mum could find the TV remote: The Dabblers: Bless them - they're like kids poking at a new toy. They've maybe generated a logo or two, written a blog post, and thought "That's clever!" before going back to their usual routine. It's like having a smartphone but only using it to make calls. (Remember when that was all phones did? No? Just me then...) The Avoiders: These folks look at AI the same way I used to look at that DVD recorder - like it might explode if they press the wrong button. For them, AI sounds expensive, complicated, and about as approachable as a hangry lion. I spoke to a business woman recently and she categorically stated 'No, that's not for me'. The truth is, both groups are missing out. Because AI isn't about replacing people—it's about helping you shine. Think of it as having a super-enthusiastic trainee who never needs coffee breaks and actually enjoys doing the repetitive stuff. Better, Faster, Quickly Here's the thing - I saw AI doing for business what that "Input" button did for my mum's TV setup: making everything work better, faster, and with less headache. Marketing especially can feel like trying to juggle while riding a unicycle - create campaigns, update websites, write copy, post on social media... and that's just before lunch! AI can streamline all of that, giving you back hours every week and better results than you thought possible. But (and it's a big but): if you don't know what to ask AI to do, you're basically back to random button-pushing on the DVD remote. That's where I come in. My goal is to demystify AI, cut through the techno-babble, and show you how to use it in ways that are practical, fun, and genuinely useful. No PhD required! Versatile Too Want to know just how versatile AI can be? Picture this: I worked with a small knitting business (yes, knitting - and if you think that's not tech-savvy territory, you've clearly never seen someone work a complex pattern spreadsheet!). They wanted to refresh their brand but were about as confident with AI as I was with that DVD recorder. Using AI, we created Pearl the Sheep - their adorable new mascot - and gave their website and marketing the equivalent of a cosy winter makeover. The best bit? Now they're using AI with the same confidence my mum had with that remote control. Look, I'm not here to sell you the equivalent of a fancy universal remote that you'll never figure out how to use. I'm here to help you learn AI your way - whether that's dropping into our live sessions (bring coffee!), working through online courses at your own pace (possibly in your pyjamas - we won't judge), or getting your whole team up to speed with customised training at your workplace. Almost There I'm currently in my workshop (definitely not programming DVD players!), building something pretty exciting. While I put the finishing touches to the website and training programmes, why not join the journey? Subscribe and follow our social channels to be the first to know when everything launches. There's a lot of good stuff coming - from drop-in sessions where no question is too basic, to online courses you can do in your pyjamas, to custom training that'll get your whole team AI-confident. Think of it as having different TV channels to choose from (but much easier to navigate, I promise!). Want to be part of this from the start?  Subscribe now and follow me on social - you'll be first to know when the doors open. And unlike that blinking DVD clock, we'll actually keep you up to date! (Just please don't ask me to programme your DVD player...) Subscribing will also give you a free link to a bit of fun, additional reading of: AI In 2025: A Refreshingly Late Guide to What's Actually Coming. Insights for next year from some of the leaders in this exciting field. Homegrown Just a quick bit of feedback about how I created this post (practicing what I preach about AI). I first drafted out what I wanted the 'storyline' to be about. Getting the ideas out of my head to kickstart. I then worked with Claude and Chat GPT - with several edits - to finalise the copy. I then used this to create (in Chat GPT) several prompts for developing some key images in Krea. Brought it all together here in the post.

AI Opportunites Action Plan - Presented to Parliament by the Secretary of State Science, Innovation and Technology A Big Vision for Britain’s AI Future "Artificial intelligence presents a "vast potential" for rejuvenating UK public services", Prime Minister Sir Keir Starmer said during hs speech setting out the governmet's plans to use AI across the UK. The government’s new AI Opportunities Action Plan is packed with ambition, aiming to cement the UK as a global leader in artificial intelligence. It promises to drive economic growth, create high-skill jobs, and position Britain as a trailblazer in AI safety and governance. A bold step forward, no doubt, with some impressive highlights: • Investing in world-class AI infrastructure, from sovereign compute resources to AI Growth Zones. • Training and attracting talent, including top-tier global experts. • Unlocking data assets to fuel innovation. • Designing a pro-innovation regulatory framework to build trust without stifling progress. • Encouraging AI adoption in critical sectors, like healthcare and education, to improve lives. It’s an exciting vision, but as SMEs (small and medium-sized enterprises) make up the backbone of the UK economy, a key question remains: how does this plan support the businesses that drive the nation’s success? Prime Minister, Sir Keir Starmer announced the new plan 13/01/25. To make "AI to work for working people". SMEs: The Beating Heart of the UK Economy Here’s the thing about SMEs—they’re not just part of the economy; they are the economy. A few numbers to paint the picture: • SMEs make up a staggering 99.9% of all UK businesses. • They employ around 16.3 million people, accounting for 60% of private sector jobs. • Collectively, they contribute more than £2.18 trillion to the economy, over half of the private sector’s turnover. For many SMEs, especially those in creative and retail sectors, AI has the potential to be transformative—streamlining workflows, improving customer engagement, and driving innovation. But adopting AI is no small feat. Limited budgets, scarce technical expertise, and access barriers mean many businesses need targeted support to make the leap. How Does the AI Action Plan Measure Up for SMEs? 1. Infrastructure and Accessibility The plan’s focus on AI Growth Zones and high-end compute capabilities sounds impressive, but how will the average small business in a town like Worcester or St Ives tap into that? SMEs need practical, affordable tools that work in their day-to-day operations—not just shiny infrastructure. Key Question: " How will the government ensure that SMEs, no matter where they are, can benefit from this new infrastructure?" 2. Training for the Everyday Business Owner While the plan prioritises attracting elite talent and expanding AI scholarships, it’s less clear how it will help small businesses or non-technical workers get started with AI. Grassroots training that focuses on real-world applications is essential for SMEs to understand and embrace AI. Key Question: " Will there be clear, accessible training for SMEs that focuses on applying AI to real-world problems?" 3. Financial Barriers Let’s be honest—many SMEs don’t have bottomless budgets. The plan talks about funding for national initiatives, but small businesses need direct financial support: grants, tax breaks, or even affordable pilot schemes that let them test AI’s potential. Key Question: "What funding mechanisms will SMEs have to reduce the financial risk of adopting AI?" 4. Reaching All Corners of the UK SMEs operate in every sector and region, from bustling urban centres to rural high streets. Yet, without targeted initiatives, the benefits of this plan could be concentrated in already tech-savvy hubs, leaving others behind. Key Question: " How will the plan ensure regional and sectoral diversity in AI adoption?" Why SMEs Need a Bottom-Up Approach If the UK is to lead the AI revolution, SMEs can’t be left on the sidelines. A top-down approach focused on national infrastructure is important, but it needs to be paired with practical, bottom-up support that helps small businesses get started with AI. Here’s what that could look like: • Simple AI Starter Kits tailored to small business needs, like marketing automation, inventory management, or customer service. • Local AI Training Hubs offering hands-on workshops and accessible tools for SMEs. • Funding for Practical AI Applications that benefit real-world businesses, not just the tech giants. • SME-Centric Tools designed to make AI easy for non-technical users, such as drag-and-drop AI apps or plug-ins. The Final Question: Will It Deliver for SMEs? The AI Opportunities Action Plan is a bold and positive step towards a tech-driven future for the UK. But to truly transform the economy, it must include the businesses that make up 99.9% of it. That means making AI accessible, practical, and affordable for SMEs, no matter their size, sector, or location. For SMEs like mine, which focus on AI training and practical applications for creative and retail businesses, this Action Plan offers promise—but clarity is needed. The government must ensure that the AI revolution empowers every business to thrive, not just the tech elite. So, the big question is: will this strategy bridge the gap between ambition and reality for the businesses that power Britain’s economy? To read the full report please click the button below. Note: As the founder of an SME specialising in AI training and online learning for small businesses, I have a vested interest in seeing how this plan translates into practical outcomes for everyday enterprises.